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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 16 |
1 files changed, 7 insertions, 9 deletions
@@ -26,8 +26,15 @@ go run . -extract-osm france-latest.osm.pbf # Extract mountain passes from a Fra go run . -backfill # Recompute and persist all ride computed values go run . -backtest # Benchmark computed vs stored ride values go run . -pprof # Expose pprof endpoints at `/debug/pprof` +docker compose up -d pyroscope # Start the local Pyroscope server on http://localhost:4040 ``` +Continuous profiling with Pyroscope: the app pushes CPU, memory, and goroutine +profiles every 10s when `pyroscope.enabled` is set in `config.yaml`. Run +`docker compose up -d pyroscope` to start the ingest server, then browse +`http://localhost:4040` to inspect the `biking_home` application profile. + + Configuration is stored in `config.yaml`. Start from `config.example.yaml` and set the Strava credentials before launching the server. ## Strava API @@ -149,17 +156,8 @@ Other endpoints: go tool pprof -http=:8081 http://localhost:8080/debug/pprof/heap # allocs ``` -Optional continuous profiling with Pyroscope (local docker, ~1-2% overhead): - -```bash -docker run --rm -p 4040:4040 grafana/pyroscope -``` - -Add `github.com/grafana/pyroscope-go` and call `pyroscope.Start` with `ServerAddress: "http://localhost:4040"` and `route` label — gives the same flamegraphs but over time. Keep it only if pprof snapshots are not enough. - ## TODO -- pyroscope - screaming archi + hexagon - Compute estimated power, speed - For a ride, scatter, one point per 100m segment. Slope vs speed |