Signoz Monitor your applications and troubleshoot problems in your deployed applications, Kubernetes, an open-source alternative to DataDog, New Relic, etc.
What is SigNoz?
SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack.
- You can see metrics like p99 latency, error rates for your services, external API calls, and individual endpoints.
- You can find the root cause of the problem by going to the exact traces causing the problem and seeing detailed Flamegraphs of individual request traces.
Features Of SigNoz:
- 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 the error rate and 99th percentile latency of
- Unified UI for metrics and traces. No need to switch from Prometheus to Jaeger to debug issues.
Why Choose SigNoz?
- Being developers, we found it annoying to rely on closed source SaaS vendors for every small feature we wanted. Closed source vendors often surprise you with huge month-end bills without any transparency.
- We wanted to make a self-hosted & open-source version of tools like DataDog, NewRelic for companies that have privacy and security concerns about having customer data going to third-party services.
- Being open-source also gives you complete control of your configuration, sampling, uptimes. You can also build modules over SigNoz to extend business-specific capabilities
Signoz supports OpenTelemetry as the library which you can use to instrument your applications. So any framework and language supported by OpenTelemetry are also supported by SigNoz. Some of the main supported languages are:
How to 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
How to 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 the correct address to send traces. In our sample application just change the
JAEGER_ENDPOINT environment variable in
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
kubectl -n platform port-forward svc/signoz-frontend 3000:3000
kubectl -n sample-application run strzal --image=djbingham/curl --restart='OnFailure' -i --tty --rm --command -- curl http://locust-master:8089/stop
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.
So, This was New OpenSource Alternative to Datadog- SigNoz Also, Check Review of K8sPurger in Kubernetes.