README (w/ demo gif): https://github.com/hyperdxio/hyperdx/blob/main/LOCAL.md
We started building local mode as it became one of our most loved [1] community issue after sharing HyperDX. It made sense - as we constantly use HyperDX to debug our own issues locally, and have found it to be a huge productivity boost for things like…
1. Tailing multiple container logs (and grepping/isolating them) without a ton of different terminal splits open at the same time.
2. Be able to sensibly view structured logs and correlated traces to debug local issues (because you’re using structured logging and tracing right?) instead of adding ad-hoc console statements that print out exactly what I could’ve gotten from tracing.
3. Testing telemetry are actually emitting/correlating as expected, before shipping it all the way out to prod and realizing I accidentally created a very expensive high-cardinality metric or a span that has the wrong properties.
We spent some time packaging & tuning our existing OSS stack to run in a single container with less memory/space requirements by staring at `dive` to slim down the image and applied incantations from documentation until memory usage improved. Additionally we removed a few non-local-friendly things like authentication requirements and extraneous services.
It still has all the goodness you’d want - so you can full text search your logs/traces, live tail all your events, view spans correlated with logs (and vice versa), create dashboards based on logs, metrics, traces, and is fully OpenTelemetry compatible - just point your Otel SDK/collector to http://localhost:4318 (or 4317 for the grpc folks) and you’re already good to go.
I’m excited to share what we’ve been working on and would love to hear your feedback and opinions!
Spin up the container yourself to try it out:
docker run -p 8000:8000 -p 4318:4318 -p 4317:4317 -p 8080:8080 -p 8002:8002 hyperdx/hyperdx-local
Main Open Source Repo: https://github.com/hyperdxio/hyperdx
Hosted Demo (in case you want to play around in a cloud sandbox instead): https://api.hyperdx.io/login/demo
HyperDX Landing Page: https://hyperdx.io