Merge pull request #4797 from SigNoz/docker-instructions

Docker instructions

frontend/src/container/OnboardingContainer/Modules/APM/Dotnet/md-docs/Docker/QuickStart/dotnet-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,106 @@
+
+### Step 1: Install OpenTelemetry Dependencies
+Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
+
+Run the below commands after navigating to the application source folder:
+```bash
+dotnet add package OpenTelemetry
+dotnet add package OpenTelemetry.Exporter.OpenTelemetryProtocol 
+dotnet add package OpenTelemetry.Extensions.Hosting
+dotnet add package OpenTelemetry.Instrumentation.Runtime
+dotnet add package OpenTelemetry.Instrumentation.AspNetCore 
+dotnet add package OpenTelemetry.AutoInstrumentation
+```
+
+ 
+
+### Step 2:  Adding OpenTelemetry as a service and configuring exporter options
+
+In your `Program.cs` file, add OpenTelemetry as a service. Here, we are configuring these variables:
+
+`serviceName` - It is the name of your service.
+
+`otlpOptions.Endpoint` - It is the endpoint for your OTel Collector agent.
+
+ 
+
+Here’s a sample `Program.cs` file with the configured variables:
+
+```bash
+using System.Diagnostics;
+using OpenTelemetry.Exporter;
+using OpenTelemetry.Resources;
+using OpenTelemetry.Trace;
+
+var builder = WebApplication.CreateBuilder(args);
+
+// Configure OpenTelemetry with tracing and auto-start.
+builder.Services.AddOpenTelemetry()
+    .ConfigureResource(resource => 
+        resource.AddService(serviceName: "{{MYAPP}}"))
+    .WithTracing(tracing => tracing
+        .AddAspNetCoreInstrumentation()
+        .AddOtlpExporter(otlpOptions =>
+        {
+                        //sigNoz Cloud Endpoint 
+            otlpOptions.Endpoint = new Uri("https://ingest.{{REGION}}.signoz.cloud:443");
+
+            otlpOptions.Protocol = OtlpExportProtocol.Grpc;
+                        
+                        //SigNoz Cloud account Ingestion key
+            string headerKey = "signoz-access-token";
+            string headerValue = "{{SIGNOZ_INGESTION_KEY}}";
+
+            string formattedHeader = $"{headerKey}={headerValue}";
+            otlpOptions.Headers = formattedHeader;
+        }));
+
+var app = builder.Build();
+
+//The index route ("/") is set up to write out the OpenTelemetry trace information on the response:
+app.MapGet("/", () => $"Hello World! OpenTelemetry Trace: {Activity.Current?.Id}");
+
+app.Run();
+```
+
+ 
+
+
+The OpenTelemetry.Exporter.Options get or set the target to which the exporter is going to send traces. Here, we’re configuring it to send traces to the OTel Collector agent. The target must be a valid Uri with the scheme (http or https) and host and may contain a port and a path.
+
+This is done by configuring an OpenTelemetry [TracerProvider](https://github.com/open-telemetry/opentelemetry-dotnet/tree/main/docs/trace/customizing-the-sdk#readme) using extension methods and setting it to auto-start when the host is started.
+
+
+### Step 3: Dockerize your application
+
+Since the environment variables like SIGNOZ_INGESTION_KEY, Ingestion Endpoint and Service name are set in the `program.cs` file, you don't need to add any additional steps in your Dockerfile.
+
+An **example** of a Dockerfile could look like this:
+
+```bash
+
+# Use the Microsoft official .NET SDK image to build the application
+FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build-env
+WORKDIR /app
+
+# Copy the CSPROJ file and restore any dependencies (via NUGET)
+COPY *.csproj ./
+RUN dotnet restore
+
+# Copy the rest of the project files and build the application
+COPY . ./
+RUN dotnet publish -c Release -o out
+
+# Generate the runtime image
+FROM mcr.microsoft.com/dotnet/aspnet:8.0
+WORKDIR /app
+COPY --from=build-env /app/out .
+
+# Expose port 5145 for the application
+EXPOSE 5145
+
+# Set the ASPNETCORE_URLS environment variable to listen on port 5145
+ENV ASPNETCORE_URLS=http://+:5145
+
+ENTRYPOINT ["dotnet", "YOUR-APPLICATION.dll"]
+```

frontend/src/container/OnboardingContainer/Modules/APM/Dotnet/md-docs/Docker/QuickStart/dotnet-docker-quickStart-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/Dotnet/md-docs/Docker/Recommended/dotnet-docker-recommended-installOtelCollector.md

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+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Dotnet/md-docs/Docker/Recommended/dotnet-docker-recommended-instrumentApplication.md

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+After setting up the Otel collector agent, follow the steps below to instrument your .NET Application
+
+ 
+ 
+
+### Step 1: Install OpenTelemetry Dependencies
+Install the following dependencies in your application.
+
+```bash
+dotnet add package OpenTelemetry
+dotnet add package OpenTelemetry.Exporter.OpenTelemetryProtocol 
+dotnet add package OpenTelemetry.Extensions.Hosting
+dotnet add package OpenTelemetry.Instrumentation.Runtime
+dotnet add package OpenTelemetry.Instrumentation.AspNetCore 
+dotnet add package OpenTelemetry.AutoInstrumentation
+```
+
+ 
+
+### Step 2:  Adding OpenTelemetry as a service and configuring exporter options
+
+In your `Program.cs` file, add OpenTelemetry as a service. Here, we are configuring these variables:
+
+`serviceName` - It is the name of your service.
+
+`otlpOptions.Endpoint` - It is the endpoint for your OTel Collector agent.
+
+ 
+
+Here’s a sample `Program.cs` file with the configured variables:
+
+```bash
+using System.Diagnostics;
+using OpenTelemetry.Exporter;
+using OpenTelemetry.Resources;
+using OpenTelemetry.Trace;
+
+var builder = WebApplication.CreateBuilder(args);
+
+// Configure OpenTelemetry with tracing and auto-start.
+builder.Services.AddOpenTelemetry()
+    .ConfigureResource(resource => 
+        resource.AddService(serviceName: "{{MYAPP}}"))
+    .WithTracing(tracing => tracing
+        .AddAspNetCoreInstrumentation()
+        .AddOtlpExporter(otlpOptions =>
+        {
+            otlpOptions.Endpoint = new Uri("http://localhost:4317");
+
+            otlpOptions.Protocol = OtlpExportProtocol.Grpc;
+        }));
+
+var app = builder.Build();
+
+//The index route ("/") is set up to write out the OpenTelemetry trace information on the response:
+app.MapGet("/", () => $"Hello World! OpenTelemetry Trace: {Activity.Current?.Id}");
+
+app.Run();
+```
+ 
+
+The OpenTelemetry.Exporter.Options get or set the target to which the exporter is going to send traces. Here, we’re configuring it to send traces to the OTel Collector agent. The target must be a valid Uri with the scheme (http or https) and host and may contain a port and a path.
+
+This is done by configuring an OpenTelemetry [TracerProvider](https://github.com/open-telemetry/opentelemetry-dotnet/tree/main/docs/trace/customizing-the-sdk#readme) using extension methods and setting it to auto-start when the host is started.
+
+
+ 
+
+### Step 3: Dockerize your application
+
+Since the crucial environment variables like SIGNOZ_INGESTION_KEY, Ingestion Endpoint and Service name are set in the `program.cs` file, you don't need to add any additional steps in your Dockerfile.
+
+An **example** of a Dockerfile could look like this:
+
+```bash
+
+# Use the Microsoft official .NET SDK image to build the application
+FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build-env
+WORKDIR /app
+
+# Copy the CSPROJ file and restore any dependencies (via NUGET)
+COPY *.csproj ./
+RUN dotnet restore
+
+# Copy the rest of the project files and build the application
+COPY . ./
+RUN dotnet publish -c Release -o out
+
+# Generate the runtime image
+FROM mcr.microsoft.com/dotnet/aspnet:8.0
+WORKDIR /app
+COPY --from=build-env /app/out .
+
+# Expose port 5145 for the application
+EXPOSE 5145
+
+# Set the ASPNETCORE_URLS environment variable to listen on port 5145
+ENV ASPNETCORE_URLS=http://+:5145
+
+ENTRYPOINT ["dotnet", "YOUR-APPLICATION.dll"]
+```

frontend/src/container/OnboardingContainer/Modules/APM/Dotnet/md-docs/Docker/Recommended/dotnet-docker-recommended-runApplication.md

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+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/Elixir/md-docs/Docker/QuickStart/elixir-docker-quickStart-instrumentApplication.md

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+ 
+
+Follow the steps below to instrument your Elixir (Phoenix + Ecto) Application
+
+### Step 1: Add dependencies
+Install dependencies related to OpenTelemetry by adding them to `mix.exs` file 
+
+```bash
+    {:opentelemetry_exporter, "~> 1.6"},
+    {:opentelemetry_api, "~> 1.2"},
+    {:opentelemetry, "~> 1.3"},
+    {:opentelemetry_semantic_conventions, "~> 0.2"},
+    {:opentelemetry_cowboy, "~> 0.2.1"},
+    {:opentelemetry_phoenix, "~> 1.1"},
+    {:opentelemetry_ecto, "~> 1.1"}
+```
+ 
+
+In your application start, usually the `application.ex` file, setup the telemetry handlers 
+
+```bash
+    :opentelemetry_cowboy.setup()
+    OpentelemetryPhoenix.setup(adapter: :cowboy2)
+    OpentelemetryEcto.setup([:{{MYAPP}}, :repo])
+```
+ 
+
+As an example, this is how you can setup the handlers in your application.ex file for an application called demo :
+
+```bash
+# application.ex
+@impl true
+def start(_type, _args) do
+  :opentelemetry_cowboy.setup()
+  OpentelemetryPhoenix.setup(adapter: :cowboy2)
+  OpentelemetryEcto.setup([:demo, :repo])
+
+end
+```
+
+ 
+
+### Step 2: Configure Application
+You need to configure your application to send telemetry data by adding the following config to your `runtime.exs` file:
+
+```bash
+config :opentelemetry, :resource, service: %{name: "{{MYAPP}}"}
+
+config :opentelemetry, :processors,
+  otel_batch_processor: %{
+    exporter: {
+      :opentelemetry_exporter,
+      %{
+        endpoints: ["https://ingest.{{REGION}}.signoz.cloud:443"],
+        headers: [
+          {"signoz-access-token", {{SIGNOZ_ACCESS_TOKEN}} }
+        ]
+      }
+    }
+  }
+```
+
+ 
+
+### Step 3: Dockerize your application
+
+Since the environment variables like SIGNOZ_INGESTION_KEY, Ingestion Endpoint and Service name are set in the above steps, you don't need to add any additional steps in your Dockerfile.

frontend/src/container/OnboardingContainer/Modules/APM/Elixir/md-docs/Docker/QuickStart/elixir-docker-quickStart-runApplication.md

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+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+To see some examples for instrumented applications, you can checkout [this link](https://signoz.io/docs/instrumentation/elixir/#sample-examples)

frontend/src/container/OnboardingContainer/Modules/APM/Elixir/md-docs/Docker/Recommended/elixir-docker-recommended-installOtelCollector.md

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+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Elixir/md-docs/Docker/Recommended/elixir-docker-recommended-instrumentApplication.md

@@ -0,0 +1,61 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your Elixir (Phoenix + Ecto) Application
+
+### Step 1: Add dependencies
+Install dependencies related to OpenTelemetry by adding them to `mix.exs` file 
+
+```bash
+    {:opentelemetry_exporter, "~> 1.6"},
+    {:opentelemetry_api, "~> 1.2"},
+    {:opentelemetry, "~> 1.3"},
+    {:opentelemetry_semantic_conventions, "~> 0.2"},
+    {:opentelemetry_cowboy, "~> 0.2.1"},
+    {:opentelemetry_phoenix, "~> 1.1"},
+    {:opentelemetry_ecto, "~> 1.1"}
+```
+ 
+
+In your application start, usually the `application.ex` file, setup the telemetry handlers 
+
+```bash
+    :opentelemetry_cowboy.setup()
+    OpentelemetryPhoenix.setup(adapter: :cowboy2)
+    OpentelemetryEcto.setup([:{{MYAPP}}, :repo])
+```
+ 
+
+As an example, this is how you can setup the handlers in your application.ex file for an application called demo :
+
+```bash
+# application.ex
+@impl true
+def start(_type, _args) do
+  :opentelemetry_cowboy.setup()
+  OpentelemetryPhoenix.setup(adapter: :cowboy2)
+  OpentelemetryEcto.setup([:demo, :repo])
+
+end
+```
+
+ 
+
+### Step 2: Configure Application
+You need to configure your application to send telemetry data by adding the following config to your `runtime.exs` file:
+
+```bash
+config :opentelemetry, :resource, service: %{name: "{{MYAPP}}"}
+
+config :opentelemetry, :processors,
+    otel_batch_processor: %{
+      exporter: 
+      {:opentelemetry_exporter, 
+      %{endpoints: ["http://localhost:4318"]}
+      }
+  }
+```
+ 
+
+### Step 3: Dockerize your application
+
+Since the environment variables like SIGNOZ_INGESTION_KEY, Ingestion Endpoint and Service name are set in the above steps, you don't need to add any additional steps in your Dockerfile.

frontend/src/container/OnboardingContainer/Modules/APM/Elixir/md-docs/Docker/Recommended/elixir-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+To see some examples for instrumented applications, you can checkout [this link](https://signoz.io/docs/instrumentation/elixir/#sample-examples)

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/Docker/QuickStart/golang-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,135 @@
+### Step 1: Install OpenTelemetry Dependencies
+Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
+
+Run the below commands after navigating to the application source folder:
+```bash
+go get go.opentelemetry.io/otel \
+  go.opentelemetry.io/otel/trace \
+  go.opentelemetry.io/otel/sdk \
+  go.opentelemetry.io/contrib/instrumentation/github.com/gin-gonic/gin/otelgin \
+  go.opentelemetry.io/otel/exporters/otlp/otlptrace \
+  go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc
+```
+
+**Note:** We are assuming you are using gin request router. If you are using other request routers, check out the [corresponding package](https://signoz.io/docs/instrumentation/golang/#request-routers).
+ 
+ 
+
+### Step 2: Declare environment variables for configuring OpenTelemetry
+Declare the following global variables in **`main.go`** which we will use to configure OpenTelemetry:
+```bash
+ var (
+     serviceName  = os.Getenv("SERVICE_NAME")
+     collectorURL = os.Getenv("OTEL_EXPORTER_OTLP_ENDPOINT")
+     insecure     = os.Getenv("INSECURE_MODE")
+ )
+```
+ 
+
+### Step 3: Instrument your Go application 
+To configure your application to send data we will need a function to initialize OpenTelemetry. Add the following snippet of code in your **`main.go`** file.
+
+```bash
+     
+ import (
+     .....
+
+     "google.golang.org/grpc/credentials"
+     "github.com/gin-gonic/gin"
+     "go.opentelemetry.io/otel"
+     "go.opentelemetry.io/otel/attribute"
+     "go.opentelemetry.io/otel/exporters/otlp/otlptrace"
+     "go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc"
+
+     "go.opentelemetry.io/otel/sdk/resource"
+     sdktrace "go.opentelemetry.io/otel/sdk/trace"
+ )
+
+ func initTracer() func(context.Context) error {
+
+     var secureOption otlptracegrpc.Option
+
+     if strings.ToLower(insecure) == "false" || insecure == "0" || strings.ToLower(insecure) == "f" {
+         secureOption = otlptracegrpc.WithTLSCredentials(credentials.NewClientTLSFromCert(nil, ""))
+     } else {
+         secureOption = otlptracegrpc.WithInsecure()
+     }
+
+     exporter, err := otlptrace.New(
+         context.Background(),
+         otlptracegrpc.NewClient(
+             secureOption,
+             otlptracegrpc.WithEndpoint(collectorURL),
+         ),
+     )
+
+     if err != nil {
+         log.Fatalf("Failed to create exporter: %v", err)
+     }
+     resources, err := resource.New(
+         context.Background(),
+         resource.WithAttributes(
+             attribute.String("service.name", serviceName),
+             attribute.String("library.language", "go"),
+         ),
+     )
+     if err != nil {
+         log.Fatalf("Could not set resources: %v", err)
+     }
+
+     otel.SetTracerProvider(
+         sdktrace.NewTracerProvider(
+             sdktrace.WithSampler(sdktrace.AlwaysSample()),
+             sdktrace.WithBatcher(exporter),
+             sdktrace.WithResource(resources),
+         ),
+     )
+     return exporter.Shutdown
+ }
+```
+ 
+
+### Step 4: Initialise the tracer in **`main.go`**
+Modify the main function to initialise the tracer in **`main.go`**. Initiate the tracer at the very beginning of our main function.
+```bash
+func main() {
+    cleanup := initTracer()
+    defer cleanup(context.Background())
+
+    ......
+}
+```
+ 
+
+### Step 5: Add the OpenTelemetry Gin middleware
+Configure Gin to use the middleware by adding the following lines in **`main.go`**
+```bash
+import (
+    ....
+  "go.opentelemetry.io/contrib/instrumentation/github.com/gin-gonic/gin/otelgin"
+)
+
+func main() {
+    ......
+    r := gin.Default()
+    r.Use(otelgin.Middleware(serviceName))
+    ......
+}
+```
+
+ 
+
+### Step 6: Dockerize your application
+
+Set the environment variables in your Dockerfile.
+
+```bash
+...
+# Set environment variables
+ENV SERVICE_NAME={{MYAPP}} \
+    INSECURE_MODE=false \
+    OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token=b{{SIGNOZ_INGESTION_KEY}}" \
+    OTEL_EXPORTER_OTLP_ENDPOINT=ingest.{{REGION}}.signoz.cloud:443
+...
+```
+

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/Docker/QuickStart/golang-docker-quickStart-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/Docker/Recommended/golang-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/Docker/Recommended/golang-docker-recommended-instrumentApplication.md

@@ -0,0 +1,137 @@
+After setting up the Otel collector agent, follow the steps below to instrument your Go Application
+ 
+ 
+
+### Step 1: Install OpenTelemetry Dependencies
+Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
+
+Run the below commands after navigating to the application source folder:
+```bash
+go get go.opentelemetry.io/otel \
+  go.opentelemetry.io/otel/trace \
+  go.opentelemetry.io/otel/sdk \
+  go.opentelemetry.io/contrib/instrumentation/github.com/gin-gonic/gin/otelgin \
+  go.opentelemetry.io/otel/exporters/otlp/otlptrace \
+  go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc
+```
+
+**Note:** We are assuming you are using gin request router. If you are using other request routers, check out the [corresponding package](https://signoz.io/docs/instrumentation/golang/#request-routers).
+ 
+ 
+
+### Step 2: Declare environment variables for configuring OpenTelemetry
+Declare the following global variables in **`main.go`** which we will use to configure OpenTelemetry:
+```bash
+ var (
+     serviceName  = os.Getenv("SERVICE_NAME")
+     collectorURL = os.Getenv("OTEL_EXPORTER_OTLP_ENDPOINT")
+     insecure     = os.Getenv("INSECURE_MODE")
+ )
+```
+ 
+
+### Step 3: Instrument your Go application 
+To configure your application to send data we will need a function to initialize OpenTelemetry. Add the following snippet of code in your **`main.go`** file.
+
+```bash
+     
+ import (
+     .....
+
+     "google.golang.org/grpc/credentials"
+     "github.com/gin-gonic/gin"
+     "go.opentelemetry.io/otel"
+     "go.opentelemetry.io/otel/attribute"
+     "go.opentelemetry.io/otel/exporters/otlp/otlptrace"
+     "go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc"
+
+     "go.opentelemetry.io/otel/sdk/resource"
+     sdktrace "go.opentelemetry.io/otel/sdk/trace"
+ )
+
+ func initTracer() func(context.Context) error {
+
+     var secureOption otlptracegrpc.Option
+
+     if strings.ToLower(insecure) == "false" || insecure == "0" || strings.ToLower(insecure) == "f" {
+         secureOption = otlptracegrpc.WithTLSCredentials(credentials.NewClientTLSFromCert(nil, ""))
+     } else {
+         secureOption = otlptracegrpc.WithInsecure()
+     }
+
+     exporter, err := otlptrace.New(
+         context.Background(),
+         otlptracegrpc.NewClient(
+             secureOption,
+             otlptracegrpc.WithEndpoint(collectorURL),
+         ),
+     )
+
+     if err != nil {
+         log.Fatalf("Failed to create exporter: %v", err)
+     }
+     resources, err := resource.New(
+         context.Background(),
+         resource.WithAttributes(
+             attribute.String("service.name", serviceName),
+             attribute.String("library.language", "go"),
+         ),
+     )
+     if err != nil {
+         log.Fatalf("Could not set resources: %v", err)
+     }
+
+     otel.SetTracerProvider(
+         sdktrace.NewTracerProvider(
+             sdktrace.WithSampler(sdktrace.AlwaysSample()),
+             sdktrace.WithBatcher(exporter),
+             sdktrace.WithResource(resources),
+         ),
+     )
+     return exporter.Shutdown
+ }
+```
+ 
+
+### Step 4: Initialise the tracer in **`main.go`**
+Modify the main function to initialise the tracer in **`main.go`**. Initiate the tracer at the very beginning of our main function.
+```bash
+func main() {
+    cleanup := initTracer()
+    defer cleanup(context.Background())
+
+    ......
+}
+```
+ 
+
+### Step 5: Add the OpenTelemetry Gin middleware
+Configure Gin to use the middleware by adding the following lines in **`main.go`**
+```bash
+import (
+    ....
+  "go.opentelemetry.io/contrib/instrumentation/github.com/gin-gonic/gin/otelgin"
+)
+
+func main() {
+    ......
+    r := gin.Default()
+    r.Use(otelgin.Middleware(serviceName))
+    ......
+}
+```
+
+ 
+
+### Step 6: Dockerize your application
+
+Set the environment variables in your Dockerfile.
+
+```bash
+...
+# Set environment variables
+ENV SERVICE_NAME={{MYAPP}} \
+    INSECURE_MODE=true \
+    OTEL_EXPORTER_OTLP_ENDPOINT=localhost:4317
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/Docker/Recommended/golang-docker-recommended-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/LinuxAMD64/QuickStart/golang-linuxamd64-quickStart-instrumentApplication.md

@@ -1,7 +1,3 @@
-After setting up the Otel collector agent, follow the steps below to instrument your Go Application
- 
- 
-
 ### Step 1: Install OpenTelemetry Dependencies
 Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
 

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/LinuxARM64/QuickStart/golang-linuxarm64-quickStart-instrumentApplication.md

@@ -1,7 +1,3 @@
-After setting up the Otel collector agent, follow the steps below to instrument your Go Application
- 
- 
-
 ### Step 1: Install OpenTelemetry Dependencies
 Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
 

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/MacOsAMD64/QuickStart/golang-macosamd64-quickStart-instrumentApplication.md

@@ -1,7 +1,3 @@
-After setting up the Otel collector agent, follow the steps below to instrument your Go Application
- 
- 
-
 ### Step 1: Install OpenTelemetry Dependencies
 Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
 

frontend/src/container/OnboardingContainer/Modules/APM/GoLang/md-docs/MacOsARM64/QuickStart/golang-macosarm64-quickStart-instrumentApplication.md

@@ -1,7 +1,3 @@
-After setting up the Otel collector agent, follow the steps below to instrument your Go Application
- 
- 
-
 ### Step 1: Install OpenTelemetry Dependencies
 Dependencies related to OpenTelemetry exporter and SDK have to be installed first.
 

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Jboss/Docker/QuickStart/jboss-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,25 @@
+#### Requirements
+- Java 8 or higher
+
+ 
+
+### Dockerize your application
+
+Update your Dockerfile to include
+
+```bash
+...
+# Set working directory. Assuming `/opt/jboss-eap-7.1` to be your working directory.
+WORKDIR /opt/jboss-eap-7.1
+
+# Download otel java binary agent
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Open and update the configuration file
+RUN sed -i 's/\(JAVA_OPTS=".*\)/\1 -javaagent:\/opt\/jboss-eap-7.1\/opentelemetry-javaagent.jar \
+-Dotel.exporter.otlp.endpoint=https:\/\/ingest.{{REGION}}.signoz.cloud:443 \
+-Dotel.exporter.otlp.headers="signoz-access-token={{SIGNOZ_INGESTION_KEY}}" \
+-Dotel.resource.attributes="service.name={{MYAPP}}"/' /opt/jboss-eap-7.1/bin/standalone.conf
+...
+```
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Jboss/Docker/QuickStart/jboss-docker-quickStart-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/jboss/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Jboss/Docker/Recommended/jboss-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Jboss/Docker/Recommended/jboss-docker-recommended-instrumentApplication.md

@@ -0,0 +1,24 @@
+After setting up the Otel collector agent, follow the steps below to instrument your JavaScript Application
+
+#### Requirements
+- Java 8 or higher
+
+ 
+
+### Dockerize your application
+
+Update your Dockerfile to include
+
+```bash
+...
+# Set working directory. Assuming `/opt/jboss-eap-7.1` to be your working directory.
+WORKDIR /opt/jboss-eap-7.1
+
+# Download otel java binary agent
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Open and update the configuration file
+RUN sed -i 's/\(JAVA_OPTS=".*\)/\1 -javaagent:\/opt\/jboss-eap-7.1\/opentelemetry-javaagent.jar/' bin/standalone.conf
+...
+```
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Jboss/Docker/Recommended/jboss-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/jboss/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Others/Docker/QuickStart/others-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,27 @@
+#### Requirements
+- Java 8 or higher
+ 
+
+### Dockerize your application
+
+Add the following to your Dockerfile
+
+```bash
+...
+# Download otel java binary agent using 
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Set environment variables and run your Spring Boot application
+ENV OTEL_RESOURCE_ATTRIBUTES="service.name={{MYAPP}}" \
+    OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}" \
+    OTEL_EXPORTER_OTLP_ENDPOINT="https://ingest.{{REGION}}.signoz.cloud:443"
+
+# Copy the Spring Boot application JAR file into the container
+COPY <my-app>.jar /app
+
+# Command to run the Spring Boot application
+CMD ["java", "-javaagent:/app/opentelemetry-javaagent.jar", "-jar", "/app/<my-app>.jar"]
+...
+```
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Others/Docker/QuickStart/others-docker-quickStart-runApplication.md

@@ -0,0 +1,27 @@
+
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/java/#troubleshooting-your-installation) for assistance.
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Others/Docker/Recommended/others-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Others/Docker/Recommended/others-docker-recommended-instrumentApplication.md

@@ -0,0 +1,22 @@
+After setting up the Otel collector agent, follow the steps below to instrument your Java Application
+
+#### Requirements
+- Java 8 or higher
+ 
+
+### Dockerize your application
+
+Add the following to your Dockerfile
+
+```bash
+...
+# Download otel java binary agent using 
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Copy the Spring Boot application JAR file into the container
+COPY <my-app>.jar /app
+
+# Command to run the Spring Boot application
+CMD ["java", "-javaagent:/app/opentelemetry-javaagent.jar", "-jar", "/app/<my-app>.jar"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Others/Docker/Recommended/others-docker-recommended-runApplication.md

@@ -0,0 +1,26 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/java/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/SpringBoot/Docker/QuickStart/springBoot-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,27 @@
+
+#### Requirements
+- Java 8 or higher
+
+ 
+
+### Dockerize your application
+
+Add the following to your Dockerfile
+
+```bash
+...
+# Download otel java binary agent using 
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Set environment variables and run your Spring Boot application
+ENV OTEL_RESOURCE_ATTRIBUTES="service.name={{MYAPP}}" \
+    OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}" \
+    OTEL_EXPORTER_OTLP_ENDPOINT="https://ingest.{{REGION}}.signoz.cloud:443"
+
+# Copy the Spring Boot application JAR file into the container
+COPY <my-app>.jar /app
+
+# Command to run the Spring Boot application
+CMD ["java", "-javaagent:/app/opentelemetry-javaagent.jar", "-jar", "/app/<my-app>.jar"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/SpringBoot/Docker/QuickStart/springBoot-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/springboot/#troubleshooting-your-installation) for assistance.
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/SpringBoot/Docker/Recommended/springBoot-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/SpringBoot/Docker/Recommended/springBoot-docker-recommended-instrumentApplication.md

@@ -0,0 +1,22 @@
+After setting up the Otel collector agent, follow the steps below to instrument your Java Application
+
+#### Requirements
+- Java 8 or higher
+ 
+
+### Dockerize your application
+
+Add the following to your Dockerfile
+
+```bash
+...
+# Download otel java binary agent using 
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Copy the Spring Boot application JAR file into the container
+COPY <my-app>.jar /app
+
+# Command to run the Spring Boot application
+CMD ["java", "-javaagent:/app/opentelemetry-javaagent.jar", "-jar", "/app/<my-app>.jar"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/SpringBoot/Docker/Recommended/springBoot-docker-recommended-runApplication.md

@@ -0,0 +1,26 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/springboot/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Tomcat/Docker/QuickStart/tomcat-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,33 @@
+#### Requirements
+- Java 8 or higher
+ 
+
+### Create setenv.sh file
+
+Create a `setenv.sh` file in the same directory as your Dockerfile
+
+```bash
+#!/bin/sh
+export CATALINA_OPTS="$CATALINA_OPTS -javaagent:/usr/local/tomcat/opentelemetry-javaagent.jar"
+export OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}"
+export OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{{REGION}}.signoz.cloud:443
+export OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+```
+
+ 
+
+### Dockerize your application
+
+Update your Dockerfile with the below commands
+```bash
+...
+# Set working directory. Here /usr/local/tomcat is assumed to be the working directory
+WORKDIR /usr/local/tomcat
+
+# Download otel java binary agent
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Copy setenv.sh into Tomcat bin directory of the working directory to enable the instrumentation agent
+COPY setenv.sh /usr/local/tomcat/bin/
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Tomcat/Docker/QuickStart/tomcat-docker-quickStart-runApplication.md

@@ -0,0 +1,26 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/tomcat/#troubleshooting-your-installation) for assistance.
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Tomcat/Docker/Recommended/tomcat-docker-recommended-installOtelCollector.md

@@ -0,0 +1,96 @@
+## Setup OpenTelemetry Binary as an agent
+ 
+
+### Step 1: Download otel-collector tar.gz
+```bash
+wget https://github.com/open-telemetry/opentelemetry-collector-releases/releases/download/v0.79.0/otelcol-contrib_0.79.0_linux_amd64.tar.gz
+```
+ 
+
+### Step 2: Extract otel-collector tar.gz to the `otelcol-contrib` folder
+```bash
+mkdir otelcol-contrib && tar xvzf otelcol-contrib_0.79.0_linux_amd64.tar.gz -C otelcol-contrib
+```
+ 
+
+### Step 3: Create config.yaml in folder otelcol-contrib with the below content in it
+```bash
+receivers:
+  otlp:
+    protocols:
+      grpc:
+        endpoint: 0.0.0.0:4317
+      http:
+        endpoint: 0.0.0.0:4318
+  hostmetrics:
+    collection_interval: 60s
+    scrapers:
+      cpu: {}
+      disk: {}
+      load: {}
+      filesystem: {}
+      memory: {}
+      network: {}
+      paging: {}
+      process:
+        mute_process_name_error: true
+        mute_process_exe_error: true
+        mute_process_io_error: true
+      processes: {}
+  prometheus:
+    config:
+      global:
+        scrape_interval: 60s
+      scrape_configs:
+        - job_name: otel-collector-binary
+          static_configs:
+            - targets:
+              # - localhost:8888
+processors:
+  batch:
+    send_batch_size: 1000
+    timeout: 10s
+  # Ref: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/processor/resourcedetectionprocessor/README.md
+  resourcedetection:
+    detectors: [env, system] # Before system detector, include ec2 for AWS, gcp for GCP and azure for Azure.
+    # Using OTEL_RESOURCE_ATTRIBUTES envvar, env detector adds custom labels.
+    timeout: 2s
+    system:
+      hostname_sources: [os] # alternatively, use [dns,os] for setting FQDN as host.name and os as fallback
+extensions:
+  health_check: {}
+  zpages: {}
+exporters:
+  otlp:
+    endpoint: "ingest.{{REGION}}.signoz.cloud:443"
+    tls:
+      insecure: false
+    headers:
+      "signoz-access-token": "{{SIGNOZ_INGESTION_KEY}}"
+  logging:
+    verbosity: normal
+service:
+  telemetry:
+    metrics:
+      address: 0.0.0.0:8888
+  extensions: [health_check, zpages]
+  pipelines:
+    metrics:
+      receivers: [otlp]
+      processors: [batch]
+      exporters: [otlp]
+    metrics/internal:
+      receivers: [prometheus, hostmetrics]
+      processors: [resourcedetection, batch]
+      exporters: [otlp]
+    traces:
+      receivers: [otlp]
+      processors: [batch]
+      exporters: [otlp]
+    logs:
+      receivers: [otlp]
+      processors: [batch]
+      exporters: [otlp]
+```
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Tomcat/Docker/Recommended/tomcat-docker-recommended-instrumentApplication.md

@@ -0,0 +1,30 @@
+After setting up the Otel collector agent, follow the steps below to instrument your Java Application
+
+#### Requirements
+- Java 8 or higher
+ 
+
+Create a `setenv.sh` file in the same directory as your Dockerfile
+
+```bash
+#!/bin/sh
+export CATALINA_OPTS="$CATALINA_OPTS -javaagent:/usr/local/tomcat/opentelemetry-javaagent.jar"
+```
+
+ 
+
+### Dockerize your application
+
+Update your Dockerfile with the below commands
+```bash
+...
+# Set working directory. Here /usr/local/tomcat is assumed to be the working directory
+WORKDIR /usr/local/tomcat
+
+# Download otel java binary agent
+RUN wget https://github.com/open-telemetry/opentelemetry-java-instrumentation/releases/latest/download/opentelemetry-javaagent.jar -O opentelemetry-javaagent.jar
+
+# Copy setenv.sh into Tomcat bin directory of the working directory to enable the instrumentation agent
+COPY setenv.sh /usr/local/tomcat/bin/
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Java/md-docs/Tomcat/Docker/Recommended/tomcat-docker-recommended-runApplication.md

@@ -0,0 +1,26 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/tomcat/#troubleshooting-your-installation) for assistance.
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Express/Docker/QuickStart/express-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,71 @@
+
+#### Requirements
+- Supported Versions ^4.0.0
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+// do not set headers in exporterOptions, the OTel spec recommends setting headers through ENV variables
+// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/exporter.md#specifying-headers-via-environment-variables
+
+const exporterOptions = {
+  url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces'
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+ 
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Use an environment variable for the Signoz Ingestion Key
+ENV OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}"
+
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Express/Docker/QuickStart/express-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/express/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Express/Docker/Recommended/express-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Express/Docker/Recommended/express-docker-recommended-instrumentApplication.md

@@ -0,0 +1,66 @@
+After setting up the Otel collector agent, follow the steps below to instrument your JavaScript Application
+
+#### Requirements
+- Supported Versions ^4.0.0
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+const exporterOptions = {
+  url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+ 
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Express/Docker/Recommended/express-docker-recommended-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/express/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NestJS/Docker/QuickStart/nestjs-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,103 @@
+#### Requirements
+- Supported Versions >= `4.0.0`
+
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```javascript
+'use strict';
+
+import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
+import { Resource } from '@opentelemetry/resources';
+import * as opentelemetry from '@opentelemetry/sdk-node';
+import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions';
+
+// Configure the SDK to export telemetry data to the console
+// Enable all auto-instrumentations from the meta package
+const exporterOptions = {
+  url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces',
+};
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}',
+  }),
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start();
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk
+    .shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+
+export default sdk;
+```
+ 
+
+### Step 3: Import tracer in the `main.js file`
+
+**Important Note**: The below import should be the first line in the main file of your application (Ex -> `main.ts`)
+```bash
+const tracer = require('./tracer')
+```
+ 
+
+### Step 4: Start the tracer
+In the `async function boostrap` section of the application code, initialize the tracer as follows:
+
+```javascript
+const tracer = require('./tracer')
+
+import { NestFactory } from '@nestjs/core';
+import { AppModule } from './app.module';
+  // All of your application code and any imports that should leverage
+  // OpenTelemetry automatic instrumentation must go here.
+
+async function bootstrap() {
+    await tracer.start();
+    const app = await NestFactory.create(AppModule);
+    await app.listen(3001);
+  }
+  bootstrap();
+```
+
+ 
+
+### Step 5: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and expose port 3001 in Dockerfile as:
+
+```bash
+...
+# Use an environment variable for the Signoz Ingestion Key
+ENV OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}"
+
+# In step 4 above, you are configuring your NestJS application to listen on port 3001
+EXPOSE 3001
+
+# Run the app with the required OpenTelemetry configuration.
+CMD [ "nest", "start" ]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NestJS/Docker/QuickStart/nestjs-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/nestjs/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NestJS/Docker/Recommended/nestjs-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NestJS/Docker/Recommended/nestjs-docker-recommended-instrumentApplication.md

@@ -0,0 +1,104 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your JavaScript Application
+
+#### Requirements
+- Supported Versions >= `4.0.0`
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+'use strict';
+
+import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node';
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
+import { Resource } from '@opentelemetry/resources';
+import * as opentelemetry from '@opentelemetry/sdk-node';
+import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions';
+
+// Configure the SDK to export telemetry data to the console
+// Enable all auto-instrumentations from the meta package
+const exporterOptions = {
+  url: 'http://localhost:4318/v1/traces',
+};
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}',
+  }),
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start();
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk
+    .shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+
+export default sdk;
+```
+ 
+
+### Step 3: Import tracer in the `main.js file`
+
+**Important Note**: The below import should be the first line in the main file of your application (Ex -> `main.ts`)
+```bash
+const tracer = require('./tracer')
+```
+ 
+
+### Step 4: Start the tracer
+In the `async function boostrap` section of the application code, initialize the tracer as follows:
+
+```bash
+const tracer = require('./tracer')
+
+import { NestFactory } from '@nestjs/core';
+import { AppModule } from './app.module';
+  // All of your application code and any imports that should leverage
+  // OpenTelemetry automatic instrumentation must go here.
+
+async function bootstrap() {
+    await tracer.start();
+    const app = await NestFactory.create(AppModule);
+    await app.listen(3001);
+  }
+  bootstrap();
+```
+
+ 
+
+### Step 5: Dockerize your application
+
+Expose port 3001 in Dockerfile as:
+
+```bash
+...
+
+# In step 4 above, you are configuring your NestJS application to listen on port 3001
+EXPOSE 3001
+
+# Run the app with the required OpenTelemetry configuration.
+CMD [ "nest", "start" ]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NestJS/Docker/Recommended/nestjs-docker-recommended-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/nestjs/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NodeJS/Docker/QuickStart/nodejs-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,70 @@
+
+#### Requirements
+- NodeJS Version 14 or newer
+
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+// do not set headers in exporterOptions, the OTel spec recommends setting headers through ENV variables
+// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/exporter.md#specifying-headers-via-environment-variables
+
+const exporterOptions = {
+  url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces'
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Use an environment variable for the Signoz Ingestion Key
+ENV OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}"
+
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NodeJS/Docker/QuickStart/nodejs-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/javascript/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NodeJS/Docker/Recommended/nodejs-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NodeJS/Docker/Recommended/nodejs-docker-recommended-instrumentApplication.md

@@ -0,0 +1,67 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your JavaScript Application
+
+#### Requirements
+- NodeJS Version 14 or newer
+
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+const exporterOptions = {
+  url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/NodeJS/Docker/Recommended/nodejs-docker-recommended-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/javascript/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Others/Docker/QuickStart/others-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,70 @@
+
+#### Requirements
+- NodeJS Version 14 or newer
+
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+// do not set headers in exporterOptions, the OTel spec recommends setting headers through ENV variables
+// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/exporter.md#specifying-headers-via-environment-variables
+
+const exporterOptions = {
+  url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces'
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Use an environment variable for the Signoz Ingestion Key
+ENV OTEL_EXPORTER_OTLP_HEADERS="signoz-access-token={{SIGNOZ_INGESTION_KEY}}"
+
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Others/Docker/QuickStart/others-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/javascript/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Others/Docker/Recommended/others-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Others/Docker/Recommended/others-docker-recommended-instrumentApplication.md

@@ -0,0 +1,67 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your JavaScript Application
+
+#### Requirements
+- NodeJS Version 14 or newer
+
+ 
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/api@^1.6.0
+npm install --save @opentelemetry/sdk-node@^0.45.0
+npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
+npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```bash
+// tracing.js
+'use strict'
+const process = require('process');
+const opentelemetry = require('@opentelemetry/sdk-node');
+const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
+const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
+const { Resource } = require('@opentelemetry/resources');
+const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
+
+const exporterOptions = {
+  url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
+}
+
+const traceExporter = new OTLPTraceExporter(exporterOptions);
+const sdk = new opentelemetry.NodeSDK({
+  traceExporter,
+  instrumentations: [getNodeAutoInstrumentations()],
+  resource: new Resource({
+    [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
+  })
+});
+
+// initialize the SDK and register with the OpenTelemetry API
+// this enables the API to record telemetry
+sdk.start()
+
+// gracefully shut down the SDK on process exit
+process.on('SIGTERM', () => {
+  sdk.shutdown()
+    .then(() => console.log('Tracing terminated'))
+    .catch((error) => console.log('Error terminating tracing', error))
+    .finally(() => process.exit(0));
+});
+```
+
+### Step 3: Dockerize your application
+
+Set the SigNoz ingestion key Environment variable and update your run command to include the `-r` flag and `./tracing.js` file in Dockerfile as:
+
+```bash
+...
+# Run the app with the required OpenTelemetry configuration. app.js is your application main file.
+CMD ["node", "-r", "./tracing.js", "app.js"]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/Others/Docker/Recommended/others-docker-recommended-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/javascript/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/ReactJS/Docker/QuickStart/reactjs-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,85 @@
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/context-zone
+npm install --save @opentelemetry/instrumentation
+npm install --save @opentelemetry/auto-instrumentations-web
+npm install --save @opentelemetry/sdk-trace-base
+npm install --save @opentelemetry/sdk-trace-web
+npm install --save @opentelemetry/resources
+npm install --save @opentelemetry/semantic-conventions
+npm install --save @opentelemetry/exporter-trace-otlp-http
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```javascript
+// tracing.js
+import { ZoneContextManager } from '@opentelemetry/context-zone';
+import { registerInstrumentations } from '@opentelemetry/instrumentation';
+import { getWebAutoInstrumentations } from '@opentelemetry/auto-instrumentations-web';
+import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';
+import { WebTracerProvider } from '@opentelemetry/sdk-trace-web';
+import { Resource } from '@opentelemetry/resources';
+import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions';
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
+
+const provider = new WebTracerProvider({
+    resource: new Resource({
+        [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}',
+    }),
+});
+const exporter = new OTLPTraceExporter({
+    url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces',
+    headers: {
+        "signoz-access-token": "{{SIGNOZ_INGESTION_KEY}}",
+    },
+});
+provider.addSpanProcessor(new BatchSpanProcessor(exporter));
+
+provider.register({
+    // Changing default contextManager to use ZoneContextManager - supports asynchronous operations so that traces are not broken
+    contextManager: new ZoneContextManager(),
+});
+
+// Registering instrumentations
+registerInstrumentations({
+    instrumentations: [
+        getWebAutoInstrumentations({
+                        
+            '@opentelemetry/instrumentation-xml-http-request': {
+                propagateTraceHeaderCorsUrls: [
+                    /.+/g, //Regex to match your backend urls.
+                ],
+            },
+            '@opentelemetry/instrumentation-fetch': {
+                propagateTraceHeaderCorsUrls: [
+                    /.+/g, //Regex to match your backend urls.
+                ],
+            },
+        }),
+    ],
+});
+```
+### Step 3: Import tracer in main file
+
+**Important Note**: The below import should be the first line in the main file of your application (Ex -> `index.js`)
+```bash
+import './tracing.js'
+
+// ...rest of the app's entry point code
+```
+
+ 
+
+### Step 4: Dockerize your application
+
+```bash
+...
+
+# Run the app with the required OpenTelemetry configuration.
+CMD [ "npm", "start" ]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/ReactJS/Docker/QuickStart/reactjs-docker-quickStart-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult this [documentation](https://signoz.io/docs/instrumentation/reactjs/) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/ReactJS/Docker/Recommended/reactjs-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/ReactJS/Docker/Recommended/reactjs-docker-recommended-instrumentApplication.md

@@ -0,0 +1,79 @@
+
+### Step 1: Install OpenTelemetry packages
+
+```bash
+npm install --save @opentelemetry/context-zone
+npm install --save @opentelemetry/instrumentation
+npm install --save @opentelemetry/auto-instrumentations-web
+npm install --save @opentelemetry/sdk-trace-base
+npm install --save @opentelemetry/sdk-trace-web
+npm install --save @opentelemetry/resources
+npm install --save @opentelemetry/semantic-conventions
+npm install --save @opentelemetry/exporter-trace-otlp-http
+```
+ 
+
+### Step 2: Create tracing.js file
+
+```javascript
+// tracing.js
+import { ZoneContextManager } from '@opentelemetry/context-zone';
+import { registerInstrumentations } from '@opentelemetry/instrumentation';
+import { getWebAutoInstrumentations } from '@opentelemetry/auto-instrumentations-web';
+import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base';
+import { WebTracerProvider } from '@opentelemetry/sdk-trace-web';
+import { Resource } from '@opentelemetry/resources';
+import { SemanticResourceAttributes } from '@opentelemetry/semantic-conventions';
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http';
+
+const provider = new WebTracerProvider({
+    resource: new Resource({
+        [SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}',
+    }),
+});
+const exporter = new OTLPTraceExporter({
+    url: 'http://localhost:4318/v1/traces',
+});
+provider.addSpanProcessor(new BatchSpanProcessor(exporter));
+
+provider.register({
+    // Changing default contextManager to use ZoneContextManager - supports asynchronous operations so that traces are not broken
+    contextManager: new ZoneContextManager(),
+});
+
+// Registering instrumentations
+registerInstrumentations({
+    instrumentations: [
+        getWebAutoInstrumentations({
+                        
+            '@opentelemetry/instrumentation-xml-http-request': {
+                propagateTraceHeaderCorsUrls: [
+                    /.+/g, //Regex to match your backend urls.
+                ],
+            },
+            '@opentelemetry/instrumentation-fetch': {
+                propagateTraceHeaderCorsUrls: [
+                    /.+/g, //Regex to match your backend urls.
+                ],
+            },
+        }),
+    ],
+});
+```
+### Step 3: Import tracer in main file
+
+**Important Note**: The below import should be the first line in the main file of your application (Ex -> `index.js`)
+```bash
+import './tracing.js'
+// ...rest of the app's entry point code
+```
+
+### Step 4: Dockerize your application
+
+```bash
+...
+
+# Run the app with the required OpenTelemetry configuration.
+CMD [ "npm", "start" ]
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/ReactJS/Docker/Recommended/reactjs-docker-recommended-runApplication.md

@@ -0,0 +1,28 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+
+If you encounter any difficulties, please consult this [documentation](https://signoz.io/docs/instrumentation/reactjs/) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Php/md-docs/Docker/QuickStart/php-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,79 @@
+ 
+
+### Step 1: Setup Development Environment
+Add these crates just below the `[dependencies]` section of your `cargo.toml` file
+
+To configure our PHP application to send data, you need to use OpenTelemetry PHP extension. Since the extension is built from the source, you need to have the build tools, which can be installed using the following command:
+
+**Linux**:
+```bash
+sudo apt-get install gcc make autoconf
+```
+
+**MacOs(Homebrew)**:
+```bash
+brew install gcc make autoconf
+```
+
+ 
+
+### Step 2: Build the extension
+
+With our environment set up we can install the extension using [PECL](https://pecl.php.net/):
+
+```bash
+pecl install opentelemetry
+```
+
+After successfully installing the OpenTelemetry extension, add the extension to php.ini file of your project:
+
+```bash
+[opentelemetry]
+extension=opentelemetry.so
+```
+
+Verify that the extension is enabled by running:
+
+```bash
+php -m | grep opentelemetry
+```
+
+Running the above command will **output**:
+
+```bash
+opentelemetry
+```
+
+ 
+
+### Step 3: Add the dependencies
+
+Add dependencies required to perform automatic instrumentation using this command :
+
+```bash
+composer config allow-plugins.php-http/discovery false
+composer require \
+  open-telemetry/sdk \
+  open-telemetry/exporter-otlp \
+  php-http/guzzle7-adapter \
+  open-telemetry/transport-grpc
+```
+
+ 
+
+### Step 4: Dockerize your application
+
+Update your dockerfile to include the environment variables:
+
+```bash
+...
+# Set environment variables
+ENV OTEL_PHP_AUTOLOAD_ENABLED=true \
+    OTEL_SERVICE_NAME={{MYAPP}} \
+    OTEL_TRACES_EXPORTER=otlp \
+    OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf \
+    OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{{REGION}}.signoz.cloud:443 \
+    OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}} \
+    OTEL_PROPAGATORS=baggage,tracecontext
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/Php/md-docs/Docker/QuickStart/php-docker-quickStart-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/Php/md-docs/Docker/Recommended/php-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Php/md-docs/Docker/Recommended/php-docker-recommended-instrumentApplication.md

@@ -0,0 +1,84 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your PHP Application
+
+### Step 1: Setup Development Environment
+Add these crates just below the `[dependencies]` section of your `cargo.toml` file
+
+To configure our PHP application to send data, you need to use OpenTelemetry PHP extension. Since the extension is built from the source, you need to have the build tools, which can be installed using the following command:
+
+**Linux**:
+```bash
+sudo apt-get install gcc make autoconf
+```
+
+ 
+
+**MacOs(Homebrew)**:
+```bash
+brew install gcc make autoconf
+```
+
+ 
+
+### Step 2: Build the extension
+
+With our environment set up we can install the extension using [PECL](https://pecl.php.net/):
+
+```bash
+pecl install opentelemetry
+```
+
+After successfully installing the OpenTelemetry extension, add the extension to php.ini file of your project:
+
+```bash
+[opentelemetry]
+extension=opentelemetry.so
+```
+
+Verify that the extension is enabled by running:
+
+```bash
+php -m | grep opentelemetry
+```
+
+Running the above command will **output**:
+
+```bash
+opentelemetry
+```
+
+ 
+
+### Step 3: Add the dependencies
+
+Add dependencies required to perform automatic instrumentation using this command :
+
+```bash
+composer config allow-plugins.php-http/discovery false
+composer require \
+  open-telemetry/sdk \
+  open-telemetry/exporter-otlp \
+  php-http/guzzle7-adapter \
+  open-telemetry/transport-grpc
+```
+
+ 
+
+### Step 4: Dockerize your application
+
+Update your dockerfile to include the environment variables:
+
+```bash
+...
+# Set environment variables
+ENV OTEL_PHP_AUTOLOAD_ENABLED=true \
+    OTEL_SERVICE_NAME={{MYAPP}} \
+    OTEL_TRACES_EXPORTER=otlp \
+    OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf \
+    OTEL_EXPORTER_OTLP_ENDPOINT=<COLLECTOR-ENDPOINT> \
+    OTEL_PROPAGATORS=baggage,tracecontext
+...
+```
+
+- <COLLECTOR_ENDPOINT> - Endpoint at which the collector is running. Ex. -> `http://localhost:4317`

frontend/src/container/OnboardingContainer/Modules/APM/Php/md-docs/Docker/Recommended/php-docker-recommended-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Django/Docker/QuickStart/django-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,54 @@
+#### Requirements
+- Python 3.8 or newer
+- for Django, you must define `DJANGO_SETTINGS_MODULE` correctly. If your project is called `mysite`, something like following should work:
+```bash
+export DJANGO_SETTINGS_MODULE=mysite.settings
+```
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{REGION}.signoz.cloud:443
+ENV OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `python manage.py runserver --noreload`
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Django/Docker/QuickStart/django-docker-quickStart-runApplication.md

@@ -0,0 +1,29 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/django/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Django/Docker/Recommended/django-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Django/Docker/Recommended/django-docker-recommended-instrumentApplication.md

@@ -0,0 +1,59 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to Dockerize your Python Application
+
+#### Requirements
+- Python 3.8 or newer
+- for Django, you must define `DJANGO_SETTINGS_MODULE` correctly. If your project is called `mysite`, something like following should work:
+```bash
+export DJANGO_SETTINGS_MODULE=mysite.settings
+```
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your Dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `python manage.py runserver --noreload`
+
+
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Django/Docker/Recommended/django-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/django/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Falcon/Docker/QuickStart/falcon-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,51 @@
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{REGION}.signoz.cloud:443
+ENV OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` 
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Falcon/Docker/QuickStart/falcon-docker-quickStart-runApplication.md

@@ -0,0 +1,29 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/falcon/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Falcon/Docker/Recommended/falcon-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Falcon/Docker/Recommended/falcon-docker-recommended-instrumentApplication.md

@@ -0,0 +1,56 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to Dockerize your Python Application
+
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your Dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` 
+
+
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Falcon/Docker/Recommended/falcon-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/falcon/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/FastAPI/Docker/QuickStart/fastapi-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,51 @@
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{REGION}.signoz.cloud:443
+ENV OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `python manage.py runserver --noreload`
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/FastAPI/Docker/QuickStart/fastapi-docker-quickStart-runApplication.md

@@ -0,0 +1,29 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/fastapi/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/FastAPI/Docker/Recommended/fastapi-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/FastAPI/Docker/Recommended/fastapi-docker-recommended-instrumentApplication.md

@@ -0,0 +1,56 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to Dockerize your Python Application
+
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your Dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `python manage.py runserver --noreload`
+
+
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/FastAPI/Docker/Recommended/fastapi-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/fastapi/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Flask/Docker/QuickStart/flask-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,50 @@
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+#(Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{REGION}.signoz.cloud:443
+ENV OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `flask run`
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Flask/Docker/QuickStart/flask-docker-quickStart-runApplication.md

@@ -0,0 +1,29 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/flask/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Flask/Docker/Recommended/flask-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Flask/Docker/Recommended/flask-docker-recommended-instrumentApplication.md

@@ -0,0 +1,56 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to Dockerize your Python Application
+
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your Dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` or `flask run`
+
+
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Flask/Docker/Recommended/flask-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/flask/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Others/Docker/QuickStart/others-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,51 @@
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{REGION}.signoz.cloud:443
+ENV OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` 
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Others/Docker/QuickStart/others-docker-quickStart-runApplication.md

@@ -0,0 +1,29 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+&nbsp;
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/python/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Others/Docker/Recommended/others-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Others/Docker/Recommended/others-docker-recommended-instrumentApplication.md

@@ -0,0 +1,56 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to Dockerize your Python Application
+
+#### Requirements
+- Python 3.8 or newer
+
+ 
+
+
+### Step 1 : Add OpenTelemetry dependencies
+
+In your `requirements.txt` file, add these two OpenTelemetry dependencies:
+
+
+```bash
+opentelemetry-distro==0.43b0
+opentelemetry-exporter-otlp==1.22.0
+
+```
+
+ 
+
+### Step 2 : Dockerize your application
+
+Update your Dockerfile along with OpenTelemetry instructions as shown below:
+
+```bash
+...
+
+# Install any needed packages specified in requirements.txt
+# And install OpenTelemetry packages
+RUN pip install --no-cache-dir -r requirements.txt 
+
+RUN opentelemetry-bootstrap --action=install
+
+# (Optional) Make port 5000 available to the world outside this container (You can choose your own port for this)
+EXPOSE 5000
+
+# Set environment variables for OpenTelemetry
+ENV OTEL_RESOURCE_ATTRIBUTES=service.name={{MYAPP}}
+ENV OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
+ENV OTEL_EXPORTER_OTLP_PROTOCOL=grpc
+
+# Run app.py with OpenTelemetry instrumentation when the container launches
+CMD ["opentelemetry-instrument", "<your_run_command>"]
+...
+```
+
+- <your_run_command> can be `python3 app.py` 
+
+
+
+
+
+

frontend/src/container/OnboardingContainer/Modules/APM/Python/md-docs/Others/Docker/Recommended/others-docker-recommended-runApplication.md

@@ -0,0 +1,25 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+The Docker run command starts a container in detached mode (-d) and maps port 5000 of the host to port 5000 of the container.
+
+```bash
+docker run -d -p 5000:5000 <your-image-name>
+```
+
+**Note**
+
+If you encounter any difficulties, please consult the [troubleshooting section](https://signoz.io/docs/instrumentation/python/#troubleshooting-your-installation) for assistance.

frontend/src/container/OnboardingContainer/Modules/APM/RubyOnRails/md-docs/Docker/QuickStart/ror-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,54 @@
+ 
+
+### Step 1: Install dependencies
+Install dependencies related to OpenTelemetry SDK and exporter using gem
+```bash
+gem install opentelemetry-sdk
+gem install opentelemetry-exporter-otlp
+gem install opentelemetry-instrumentation-all
+```
+ 
+
+Include the required packages into your gemfile
+```bash
+gem 'opentelemetry-sdk'
+gem 'opentelemetry-exporter-otlp'
+gem 'opentelemetry-instrumentation-all'
+```
+ 
+
+Run the bundle install command:
+```bash
+bundle install
+```
+ 
+
+### Step 2: Initialize the OpenTelemetry SDK
+Initialize the otel sdk by adding below lines to `config/environment.rb` of your Ruby on Rails application
+
+```bash
+require 'opentelemetry/sdk'
+require_relative 'application'
+
+OpenTelemetry::SDK.configure do |c|
+  c.use_all
+end
+
+Rails.application.initialize!
+```
+
+ 
+
+### Step 3: Dockerize your application
+
+Update your dockerfile to include the environment variables:
+
+```bash
+...
+# Set environment variables
+ENV OTEL_EXPORTER=otlp \
+    OTEL_SERVICE_NAME={{MYAPP}} \
+    OTEL_EXPORTER_OTLP_ENDPOINT=https://ingest.{{REGION}}.signoz.cloud:443 \
+    OTEL_EXPORTER_OTLP_HEADERS=signoz-access-token={{SIGNOZ_INGESTION_KEY}}
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/RubyOnRails/md-docs/Docker/QuickStart/ror-docker-quickStart-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/RubyOnRails/md-docs/Docker/Recommended/ror-docker-recommended-installOtelCollector.md

@@ -0,0 +1,12 @@
+## Setup OpenTelemetry Binary as an agent
+
+ 
+
+As a first step, you should install the OTel collector Binary according to the instructions provided on [this link](https://signoz.io/docs/tutorial/opentelemetry-binary-usage-in-virtual-machine/).
+
+ 
+
+Once you are done setting up the OTel collector binary, you can follow the next steps.
+
+ 
+

frontend/src/container/OnboardingContainer/Modules/APM/RubyOnRails/md-docs/Docker/Recommended/ror-docker-recommended-instrumentApplication.md

@@ -0,0 +1,57 @@
+ 
+
+After setting up the Otel collector agent, follow the steps below to instrument your Ruby On Rails Application
+
+ 
+
+### Step 1: Install dependencies
+Install dependencies related to OpenTelemetry SDK and exporter using gem
+```bash
+gem install opentelemetry-sdk
+gem install opentelemetry-exporter-otlp
+gem install opentelemetry-instrumentation-all
+```
+ 
+
+Include the required packages into your gemfile
+```bash
+gem 'opentelemetry-sdk'
+gem 'opentelemetry-exporter-otlp'
+gem 'opentelemetry-instrumentation-all'
+```
+ 
+
+Run the bundle install command:
+```bash
+bundle install
+```
+ 
+
+### Step 2: Initialize the OpenTelemetry SDK
+Initialize the otel sdk by adding below lines to `config/environment.rb` of your Ruby on Rails application
+
+```bash
+require 'opentelemetry/sdk'
+require_relative 'application'
+
+OpenTelemetry::SDK.configure do |c|
+  c.use_all
+end
+
+Rails.application.initialize!
+```
+
+ 
+
+### Step 3: Dockerize your application
+
+Update your dockerfile to include the environment variables:
+
+```bash
+...
+# Set environment variables
+ENV OTEL_EXPORTER=otlp \
+    OTEL_SERVICE_NAME={{MYAPP}} \
+    OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
+...
+```

frontend/src/container/OnboardingContainer/Modules/APM/RubyOnRails/md-docs/Docker/Recommended/ror-docker-recommended-runApplication.md

@@ -0,0 +1,21 @@
+Once you update your Dockerfile, you can build and run it using the commands below.
+
+ 
+
+### Step 1: Build your dockerfile
+
+Build your docker image
+
+```bash
+docker build -t <your-image-name> .
+```
+
+- `<your-image-name>` is the name of your Docker Image
+
+&nbsp;
+
+### Step 2: Run your docker image
+
+```bash
+docker run <your-image-name>
+```

frontend/src/container/OnboardingContainer/Modules/APM/Rust/md-docs/Docker/QuickStart/rust-docker-quickStart-instrumentApplication.md

@@ -0,0 +1,146 @@
+ 
+
+### Step 1: Add dependencies
+Add these crates just below the `[dependencies]` section of your `cargo.toml` file
+
+```rust
+opentelemetry = { version = "0.18.0", features = ["rt-tokio", "metrics", "trace"] }
+opentelemetry-otlp = { version = "0.11.0", features = ["trace", "metrics"] }
+opentelemetry-semantic-conventions = { version = "0.10.0" }
+opentelemetry-proto = { version = "0.1.0"}
+tokio = { version = "1", features = ["full"] }
+tonic = { version = "0.8.2", features = ["tls-roots"] }
+dotenv = "0.15.0"
+```
+ 
+
+Use the above crates in entry point of your Rust application, which is generally your `main.rs` file 
+
+```rust
+use dotenv::dotenv;
+use opentelemetry::global::shutdown_tracer_provider;
+use opentelemetry::sdk::Resource;
+use opentelemetry::trace::TraceError;
+use opentelemetry::{
+    global, sdk::trace as sdktrace,
+    trace::{TraceContextExt, Tracer},
+    Context, Key, KeyValue,
+};
+use opentelemetry_otlp::WithExportConfig;
+use tonic::metadata::{MetadataMap, MetadataValue};
+```
+ 
+
+### Step 2: Initialize tracer and create env file
+Add `init_tracer` function to your `main.rs` file. It initializes an OpenTelemetry tracer with the OpenTelemetry OTLP exporter which is sending data to SigNoz Cloud.
+
+```rust
+fn init_tracer() -> Result<sdktrace::Tracer, TraceError> {
+    let signoz_access_token = std::env::var("SIGNOZ_ACCESS_TOKEN").expect("SIGNOZ_ACCESS_TOKEN not set");
+    let mut metadata = MetadataMap::new();
+    metadata.insert(
+        "signoz-access-token",
+        MetadataValue::from_str(&signoz_access_token).unwrap(),
+    );
+    opentelemetry_otlp::new_pipeline()
+        .tracing()
+        .with_exporter(
+            opentelemetry_otlp::new_exporter()
+                .tonic()
+                .with_metadata(metadata)
+                .with_endpoint(std::env::var("SIGNOZ_ENDPOINT").expect("SIGNOZ_ENDPOINT not set")),
+        )
+        .with_trace_config(
+            sdktrace::config().with_resource(Resource::new(vec![
+                KeyValue::new(
+                    opentelemetry_semantic_conventions::resource::SERVICE_NAME,
+                    std::env::var("APP_NAME").expect("APP_NAME not set"),
+                ),
+            ])),
+        )
+        .install_batch(opentelemetry::runtime::Tokio)
+}
+```
+
+After adding the above function in your `main.rs` file, create an `.env` file in root of your app. The structure could look like this :
+
+```bash
+project_root/
+|-- Cargo.toml
+|-- src/
+|   |-- main.rs
+|-- .env
+```
+
+In your environment file, paste the below variables which will be used in the next steps.
+
+```rust
+PORT=3000 // If it is a web app pass port or else you can ignore this variable
+APP_NAME={{MYAPP}}
+SIGNOZ_ENDPOINT=https://ingest.{{REGION}}.signoz.cloud:443/v1/traces
+SIGNOZ_ACCESS_TOKEN={{SIGNOZ_INGESTION_KEY}}
+```
+
+### Step 3: Add OpenTelemetry instrumentation
+
+
+Call the `init_tracer` function inside `main()` at starting so that as soon as your rust application starts, tracer will be available globally.
+
+```rust
+dotenv().ok();
+let _ = init_tracer();
+```
+
+Modify your `main()` function from
+
+```rust
+fn main(){
+    //rest of the code
+}
+```
+
+&nbsp;
+
+to
+
+```rust
+#[tokio::main]
+async fn main() {
+    //rest of the code
+}
+```
+
+Add the below code block within a function or a section of your code where you're setting up and using the tracer for distributed tracing. After adding the below code block you can send traces to SigNoz Cloud
+
+```rust
+  let tracer = global::tracer("global_tracer");
+    let _cx = Context::new();
+  
+    tracer.in_span("operation", |cx| {
+        let span = cx.span();
+        span.set_attribute(Key::new("KEY").string("value"));
+
+        span.add_event(
+            format!("Operations"),
+            vec![
+                Key::new("SigNoz is").string("working!"),
+            ],
+        );
+    });
+    shutdown_tracer_provider()
+```
+
+The above code block will create a span named operation which sets an attribute and an event to it saying "SigNoz is working!". 
+
+&nbsp;
+
+### Step 4: Dockerize your application
+
+Update your Dockerfile to include the `.env` file created above
+
+```bash
+...
+# Copy your .env file
+COPY .env .
+...
+```