tempo VS jaeger

Grafana Tempo also switched from Protobuf storage format to Apache Parquet last year. It's fully open source, and the proposal is here: https://github.com/grafana/tempo/blob/main/docs/design-propo...

disclosure: I work for Grafana!

By combining Grafana Tempo with Tracetest, you can create a robust solution for monitoring and testing APIs with distributed tracing.

Last point: There's already a major open source project in the backend space called Tempo. You may want to reconsider the name.

I started the day with some Rust and spent the rest of the day in the Monitoring and Observability DevRoom. Most of the talks I attended were about OpenTelemetry and were very Grafana Labs-heavy. I knew Grafana and, to a less extent, Loki, and I had never seen Tempo (distributed tracing) and Phlare (profiling), and Mimir (backend for metrics, more backend-y than Prometheus?).

Grafana Tempo yes. Integrates seamlessly with Grafana (the dashboarding)

Jaeger is a distributed tracing system built for microservices environments. Learn more about Jaeger - from core concepts to advanced implementation patterns. Excels at end-to-end transaction monitoring, dependency analysis, and performance optimization. Provides powerful query capabilities and sampling strategies for large-scale deployments.

Jaeger: open source, end-to-end distributed tracing

By running the make start/on-docker command at beginning of the section, you already started the API and also an Observability stack with an OpenTelemetry Collector and Jaeger.

Here is the detail of a trace generated for the code above, visualized using a local Jaeger instance: ‍

These APIs are instrumented with OpenTelemetry SDKs and send data to Jaeger via the OpenTelemetry Collector.

Previously I was using Jaeger - one of the most popular services for distributed tracing. But now, Seq allows viewing logs and traces in one place, so I find it more handy than having 2 separate services for logs and distributed traces.

In this articles we are going to go through instrumentating your django application using OTel. The project will demonstrate how to add logging for Prometheus and how to visualised spans using Jaeger.

First, you need to set up a basic infrastructure, with an OpenTelemetry (OTel) Collector to receive traces and Jaeger to store them, structuring the system like this: