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Principles | |
Who were Benford, Pareto, Zipf and Little? | |
Why is premature optimization bad? | |
What is benchmarking/profiling? | |
How to benchmark an HTTP service | |
Benchmarking | |
Benchmark and benchmark/ips | |
What can you benchmark? | |
What's a good benchmark? | |
Pitfalls | |
Scaling Services | |
Little’s Law | |
Erlang traffic analysis | |
Understanding latency/throughput | |
How to scale any service correctly and identify service bottlenecks | |
Profiling Memory | |
Why we profile memory | |
How Ruby GC works in 5 minutes | |
The GC Module | |
Building your own profiler with ObjectSpace | |
More ObjectSpace tricks | |
What triggers GC? | |
Memory myth 1: memory goes down, right? | |
Heap fragmentation | |
GC tracing | |
derailed benchmarks and profiling startup | |
oink | |
Profiling the Web Request | |
rack-mini-profiler | |
Profiling in production-like environments | |
Auth with RMP | |
Understanding the speed badge | |
SQL | |
time | |
Outliers? | |
Flamegraphs | |
GC Profiler | |
Exception profiling | |
Application Metrics | |
Why it's fast on your machine | |
Development mode settings | |
Latency | |
Javascript | |
System config | |
Virtualization | |
What's "fast" for Rails | |
Applying the 80/20 rule | |
ActiveRecord | |
Measurement | |
How to read prod metrics to look for AR issues | |
Reproducing issues in dev | |
Diagnosis of N+1 | |
ActiveRecord’s weight | |
ActiveRecord::QueryCache | |
Profiling an ActiveRecord query | |
Removing unnecessary SQL | |
Preload/includes/eager_load | |
What “breaks” preloads? | |
Advanced preloading | |
Common N+1 traps/scenarios | |
Count vs size | |
Dynamic view analysis | |
Existence checking | |
Large tables | |
Foreign keys | |
Understanding AR memory impact | |
Batches | |
Calculations | |
Bulk operations | |
Basic database scaling | |
Erlang analysis review | |
DB tips | |
How binary tree indexes actually work | |
EXPLAIN ANALYZE | |
Connection poolers |
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