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Summary
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Classroom Contents
Production Profiling - What, Why and How
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- 1 Customer Experience
- 2 Responsive Applications make more Money
- 3 Stop Castly Downtime
- 4 Unrepresentative Hardware
- 5 Unrepresentative Software
- 6 Unrepresentative Workloads
- 7 Coarse Grained Instrumentation
- 8 Where Instrumentation can be blind in the Real World
- 9 How to use Production Profilers
- 10 Profiling Hotspots
- 11 Profiling Flamegraphs
- 12 Instrumenting Profilers
- 13 Sampling/Statistical Profilers
- 14 Safepoint Bias after Inlining
- 15 Advanced Statistical Profiling in Java
- 16 Barriers to Ad-Hoc Production Profiling
- 17 Historical Data
- 18 Putting Samples in Context
- 19 Summary
- 20 Performance Matters
