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Impact of automated tuning
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Classroom Contents
How to Automate Performance Tuning for Apache Spark
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- 1 Intro
- 2 What is performance tuning?
- 3 Why automate performance tuning?
- 4 Perf tuning is an iterative process
- 5 Common issues: lack of parallelism
- 6 Common issues: shuffle spill
- 7 Improvements based on node metrics
- 8 Cost-speed trade-off
- 9 Recap: manual perf tuning
- 10 Open source tuning tools
- 11 Motivations
- 12 Architecture (tech)
- 13 Architecture (algo)
- 14 Heuristics example
- 15 Evaluator
- 16 Experiment manager
- 17 Data Mechanics platform
- 18 Common issues: data skew
- 19 Impact of automated tuning
