Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc.

SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using Kafka (to handle high ingestion rate and backpressure) and Apache Druid (Apache Druid is a high performance real-time analytics database), both proven in the industry to handle scale.

Features:

• Application overview metrics like RPS, 50th/90th/99th Percentile latencies, and Error Rate
• Slowest endpoints in your application
• See exact request trace to figure out issues in downstream services, slow DB queries, call to 3rd party services like payment gateways, etc
• Filter traces by service name, operation, latency, error, tags/annotations.
• Aggregate metrics on filtered traces. Eg, you can get error rate and 99th percentile latency of customer_type: gold or deployment_version: v2 or external_call: paypal
• Unified UI for metrics and traces. No need to switch from Prometheus to Jaeger to debug issues.
• In-built workflows to reduce your efforts in detecting common issues like new deployment failures, 3rd party slow APIs, etc (Coming Soon)
• Anomaly Detection Framework (Coming Soon)

Motivation:

• 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.
• Data privacy and compliance demands data to not leave the network boundary
• Highly scalable architecture
• No more magic happening in agents installed in your infra. You take control of sampling, uptime, configuration.
• Build modules over SigNoz to extend business specific capabilities

Getting Started

Deploy using docker-compose

We have a tiny-cluster setup and a standard setup to deploy using docker-compose. Follow the steps listed at https://signoz.io/docs/deployment/docker/. The troubleshooting instructions at https://signoz.io/docs/deployment/docker/#troubleshooting may be helpful

Deploy in Kubernetes using Helm.

Below steps will install the SigNoz in platform namespace inside your k8s cluster.

git clone https://github.com/SigNoz/signoz.git && cd signoz
helm dependency update deploy/kubernetes/platform
kubectl create ns platform
helm -n platform install signoz deploy/kubernetes/platform
kubectl -n platform apply -Rf deploy/kubernetes/jobs
kubectl -n platform apply -f deploy/kubernetes/otel-collector

*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

Test HotROD application with SigNoz

kubectl create ns sample-application
kubectl -n sample-application apply -Rf sample-apps/hotrod/

How to generate load

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

See UI

kubectl -n platform port-forward svc/signoz-frontend 3000:3000

How to stop load

kubectl -n sample-application run strzal --image=djbingham/curl --restart='OnFailure' -i --tty --rm --command -- curl http://locust-master:8089/stop

Documentation

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.

Community

Join the slack community to know more about distributed tracing, observability, or SigNoz and to connect with other users and contributors.

If you have any ideas, questions, or any feedback, please share on our Github Discussions