Project Description

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 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)

Links

Download source code as [.zip file] [.tar.gz file]
Documentation: [README]