Tracing for Granularity

Transcript

1. tracing for granularity JBD, Google (@rakyll)
2. @rakyll
3. @rakyll tracing? What is tracing and why do we trace?
4. @rakyll
5. @rakyll clogged?
6. @rakyll leaking?
7. @rakyll path and direction?
8. @rakyll 100% availability (is a lie)
9. “ @rakyll A service is available if users cannot tell there was an outage.
10. @rakyll Without an SLO, your team has no principled way of saying what level of downtime is acceptable. • Error rate • Latency or throughput expectations Service Level Objectives (SLOs)
11. @rakyll 28 ms 100 ms 172 ms 56 ms 356 ms what user sees what else we can see sec.Check auth.AccessToken cache.Lookup spanner.Query GET /messages
12. @rakyll 182 ms 56 ms 245 ms what user sees what else we can see sec.Check auth.AccessToken GET /messages 7 ms cache.Lookup
13. @rakyll latency...
14. @rakyll Go is the language to write servers. Many runtime activities occur during the program execution: • scheduling • memory allocation • garbage collection Hard to associate a request with its impact on the runtime.
15. @rakyll clogged?
16. “ @rakyll There is no easy way to tell why latency is high for certain requests. Is it due to GC, scheduler or syscalls? Can you review the code and tell us why? -SRE
17. @rakyll Execution tracer $ go tool trace • Reports fine-grained runtime events in the lifetime of a goroutine. • Reports utilization of CPU cores. But cannot easily tell how handling a request impacts the runtime.
18. @rakyll 28 ms 100 ms 172 ms 56 ms 356 ms GET /messages auth.AccessToken cache.Lookup spanner.Query GET /messages
19. @rakyll 5 68µs 8 123µs networking serialization + deserialization garbage collection blocking syscall what actually happens 172 ms auth.AccessToken
20. @rakyll 5 68µs 8 123µs epoll executing sys gc netwrite
21. @rakyll How? • Mark sections in code using runtime/trace. • Enable execution tracer temporarily and record data. • Examine the recorded data.
22. @rakyll Go 1.11 introduces... • User regions, tasks and annotations. • Association between user code and runtime. • Association with distributed traces.
23. @rakyll Go 1.11 runtime/trace import “runtime/trace” ctx, task := trace.NewTask(ctx, “myHandler”) defer task.End() // Handler code here....
24. @rakyll region #1 task #1 Go 1.11 runtime/trace region #2 region #3 region #4 region #5 goroutine #1 goroutine #4 goroutine #5
25. @rakyll import _ "net/http/pprof" go func() { log.Println(http.ListenAndServe("localhost:6060", nil)) }()
26. @rakyll $ curl http://server:6060/debug/pprof/trace?seconds=5 -o trace.out $ go tool trace trace.out 2018/05/04 10:39:59 Parsing trace... 2018/05/04 10:39:59 Splitting trace... 2018/05/04 10:39:59 Opening browser. Trace viewer is listening on http://127.0.0.1:51803
27. Execution tracer tasks for RPCs (/usertasks)
28. Execution tracer tasks for RPCs (/usertasks)
29. RPCs overlapping with garbage collection
30. Execution tracer regions (/userregions)
31. Region summary for conn.ready
32. @rakyll Record in production $ curl http://server/debug/pprof/trace?seconds=5 -o trace.out $ go tool trace trace.out
33. @rakyll Try It! Install the Go 1.11 beta1! golang.org/dl
34. @rakyll $ go get go.opencensus.io/trace import rt “runtime/trace” ctx, span := trace.StartSpan(ctx, “/messages”) defer span.End() rt.WithRegion(ctx, “foo”, func(ctx) { // Do something... })
35. @rakyll Limitations • Execution tracer cannot do accounting for cross-goroutine operations automatically. • Exposition format is hard to parse if `go trace tool` is not used.
36. thank you! JBD, Google jbd@google.com @rakyll