#typescript #javascript #go #opensource #kafka #reactjs #metrics #prometheus #self_hosted #tracing #stream_processing #druid #gsoc #kafka_streams #observability #distributed_tracing #application_monitoring #jaegertracing #opentelemetry #open_telemetry

https://github.com/SigNoz/signoz

#go #metrics #monitoring #observability #open_telemetry #opentelemetry #telemetry

The OpenTelemetry Collector is a tool that helps you manage telemetry data easily. It can receive, process, and export data from various sources like Jaeger and Prometheus to different back-ends without needing multiple agents. Here are the key benefits It comes with reasonable default configurations and supports popular protocols, making it easy to use out of the box.
- **Performant** It is designed to be easily monitored.
- **Extensible** It supports traces, metrics, and logs in a single codebase.

This makes it simpler to manage your telemetry data in a unified and efficient way.

https://github.com/open-telemetry/opentelemetry-collector

#go #open_telemetry #opentelemetry

The OpenTelemetry Collector Contrib is a collection of extra components that extend the core OpenTelemetry Collector, helping you collect, process, and export telemetry data like traces, metrics, and logs from your applications. It supports many features such as filtering sensitive data, batching, retries, and custom processing, which improve security, reliability, and performance of your observability pipeline. You can build custom distributions using these components to fit your needs. This helps you monitor complex systems more easily, reduce costs, and maintain flexibility by supporting many data formats and backends without changing your application code. It is maintained by a community of experts ensuring quality and support.

https://github.com/open-telemetry/opentelemetry-collector-contrib