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43 lines
1.5 KiB
Markdown
43 lines
1.5 KiB
Markdown
# Advanced debugging
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This guide covers more advanced debugging topics such as collecting
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runtime profiling data from GitOps Toolkit components.
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As a user, this page normally should be a last resort, but you may
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be asked by a maintainer to share a [collected profile](#collecting-a-profile)
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to debug e.g. performance issues.
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## Pprof
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The [GitOps Toolkit components](../components/index.md) serve [`pprof`](https://golang.org/pkg/net/http/pprof/)
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runtime profiling data on their metrics HTTP server (default `:8080`).
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### Endpoints
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| Endpoint | Path |
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|-------------|------------------------|
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| Index | `/debug/pprof/` |
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| CPU profile | `/debug/pprof/profile` |
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| Symbol | `/debug/pprof/symbol` |
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| Trace | `/debug/pprof/trace` |
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### Collecting a profile
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To collect a profile, port-forward to the component's metrics endpoint
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and collect the data from the [endpoint](#endpoints) of choice:
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```console
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$ kubectl port-forward -n <namespace> deploy/<component> 8080
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$ curl -Sk -v http://localhost:8080/debug/pprof/heap > heap.out
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```
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The collected profile [can be analyzed using `go`](https://blog.golang.org/pprof),
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or shared with one of the maintainers.
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## Resource usage
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As `kubectl top` gives a limited (and at times inaccurate) overview of
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resource usage, it is often better to make use of the Grafana metrics
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to gather insights. See [monitoring](../guides/monitoring.md) for a
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guide on how to visualize this data with a Grafana dashboard.
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