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README.md
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README.md
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<p align="center"><img src="https://signoz.io/img/SigNozLogo-orange.svg" alt="SigNoz Logo" width="100"></p>
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<p align="center">
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<img src="https://res.cloudinary.com/dcv3epinx/image/upload/v1618904450/signoz-images/LogoGithub_sigfbu.svg" alt="SigNoz-logo" width="240" />
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<p align="center">Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc.</p>
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</p>
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[](LICENSE)
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# SigNoz
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##
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SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using [Kafka](https://kafka.apache.org/) (to handle high ingestion rate and backpressure) and [Apache Druid](https://druid.apache.org/) (Apache Druid is a high performance real-time analytics database), both proven in the industry to handle scale.
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<!--  -->
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### Features:
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- Application overview metrics like RPS, 50th/90th/99th Percentile latencies, and Error Rate
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- Slowest endpoints in your application
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- See exact request trace to figure out issues in downstream services, slow DB queries, call to 3rd party services like payment gateways, etc
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@ -20,17 +25,14 @@ SigNoz is an opensource observability platform. SigNoz uses distributed tracing
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- In-built workflows to reduce your efforts in detecting common issues like new deployment failures, 3rd party slow APIs, etc (Coming Soon)
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- Anomaly Detection Framework (Coming Soon)
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### Motivation:
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- SaaS vendors charge an insane amount to provide Application Monitoring. They often surprise you with huge month end bills without any transparency of data sent to them.
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- Data privacy and compliance demands data to not leave the network boundary
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- Highly scalable architecture
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- No more magic happening in agents installed in your infra. You take control of sampling, uptime, configuration.
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- Build modules over SigNoz to extend business specific capabilities
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# Getting Started
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## Deploy using docker-compose
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@ -39,7 +41,6 @@ We have a tiny-cluster setup and a standard setup to deploy using docker-compose
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Follow the steps listed at https://signoz.io/docs/deployment/docker/.
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The troubleshooting instructions at https://signoz.io/docs/deployment/docker/#troubleshooting may be helpful
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## Deploy in Kubernetes using Helm.
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Below steps will install the SigNoz in platform namespace inside your k8s cluster.
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@ -53,7 +54,7 @@ kubectl -n platform apply -Rf deploy/kubernetes/jobs
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kubectl -n platform apply -f deploy/kubernetes/otel-collector
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```
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**You can choose a different namespace too. In that case, you need to point your applications to correct address to send traces. In our sample application just change the `JAEGER_ENDPOINT` environment variable in `sample-apps/hotrod/deployment.yaml`*
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\*_You can choose a different namespace too. In that case, you need to point your applications to correct address to send traces. In our sample application just change the `JAEGER_ENDPOINT` environment variable in `sample-apps/hotrod/deployment.yaml`_
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### Test HotROD application with SigNoz
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@ -67,17 +68,19 @@ kubectl -n sample-application apply -Rf sample-apps/hotrod/
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`kubectl -n sample-application run strzal --image=djbingham/curl --restart='OnFailure' -i --tty --rm --command -- curl -X POST -F 'locust_count=6' -F 'hatch_rate=2' http://locust-master:8089/swarm`
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### See UI
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`kubectl -n platform port-forward svc/signoz-frontend 3000:3000`
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### How to stop load
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`kubectl -n sample-application run strzal --image=djbingham/curl --restart='OnFailure' -i --tty --rm --command -- curl http://locust-master:8089/stop`
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# Documentation
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You can find docs at https://signoz.io/docs/deployment/docker. If you need any clarification or find something missing, feel free to raise a GitHub issue with the label `documentation` or reach out to us at the community slack channel.
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# Community
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Join the [slack community](https://app.slack.com/client/T01HWUTP0LT#/) to know more about distributed tracing, observability, or SigNoz and to connect with other users and contributors.
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If you have any ideas, questions, or any feedback, please share on our [Github Discussions](https://github.com/SigNoz/signoz/discussions)
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