// Knowledge Base

Knowledge Base

Reference material written by practitioners. The same explanations we give client engineering teams, published for anyone to use.

Key Performance Metrics

Latency percentiles, throughput, saturation and errors — what to measure, why averages mislead, and how the four relate.

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Little's Law & Queueing Theory

The one equation every performance engineer uses daily, and why latency explodes as systems approach saturation.

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Common Bottlenecks

A field guide to the bottlenecks we find most often — connection pools, GC, locks, N+1 queries — and their signatures.

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Performance Testing in CI/CD

Catching regressions at merge time: test tiers, budgets as code, and making performance a routine quality gate.

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