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Overhead Analysis: JSON Workload
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Classroom Contents
Go Profiling and Observability from Scratch
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- 1 Intro
- 2 Target audience
- 3 Agenda
- 4 Scheduling & Memory Management
- 5 Memory Management: Stack
- 6 Memory Management: Heap
- 7 CPU Profiler: SIGPROF for every 10ms of CPU Time
- 8 CPU Profiler: Add Stacktrace to Profile
- 9 CPU Profiler: Waiting for Go 1.18
- 10 Block Profiler: Channels
- 11 Block Profiler: Mutexes
- 12 Mutex Profiler
- 13 Block vs Mutex
- 14 Quick Note on Time: 1 Request - 3 Goroutines
- 15 Memory Profiling
- 16 Goroutine Profiling
- 17 Tracing Manually
- 18 Runtime Tracer
- 19 Profiling and Tracing: A Faustian Bargain?
- 20 Profiling and Tracing Overhead Analysis
- 21 Overhead Analysis: SQL Workload
- 22 Overhead Analysis: HTTP Workload
- 23 Overhead Analysis: JSON Workload
- 24 JsoN Workload (Concurrency = 8)
- 25 Overhead Analysis: Chan Workload
- 26 Overhead Analysis: Error Sources
- 27 Metrics
- 28 Linux perf
- 29 bpftrace
- 30 Scheduling / Execution Observability
- 31 Memory Management Observability
- 32 Recap