performance engineering

Tool taxonomies organise observability by metrics, traces, logs, and profiles. Practitioners organise it by intent: what am I trying to understand, debug, or prove? This article reframes the observability stack around six common intents — Golden Signals, latency propagation, high-cardinality debugging, low-overhead profiling, black-box, and cost-efficient at scale — with the workflows, the right tool combinations, the anti-patterns to avoid, and a dedicated treatment of how unified APM platforms (Datadog, New Relic, Dynatrace) fit in the intent-routing framing.

Most HTTP benchmarking tools quietly hide tail latency when the server slows down. The phenomenon is called coordinated omission, it shows up almost exclusively in p99 and beyond, and it has caused production incidents at organisations that thought their load tests were green. This post explains the mechanism, demonstrates it empirically with a reproducible benchmark of eight tools across five server pathologies, and shows how to fix it with a constant arrival-rate workload model.