Caching, Workers, and Performance
Application performance under repeated work and bursts: cache authority and freshness, worker scheduling and failure control, load distribution, scaling, and evidence-driven diagnosis across the request path.
TRACKS
Application performance under repeated work and bursts: cache authority and freshness, worker scheduling and failure control, load distribution, scaling, and evidence-driven diagnosis across the request path.
Load envelopes, queuing trade-offs, forecasting, and the methods used to plan system growth before painful saturation.
Incident response as an operational learning system: paging signals, roles, triage, communication, runbooks, mitigation, postmortems, corrective actions, on-call training, and durable organizational memory.
Canaries, feature gates, rollback design, change safety, and the release controls that reduce production risk.
SLIs, SLOs, failure budgets, operational trade-offs, and the core mental models behind production reliability work.
Failure injection, resilience drills, blast-radius control, and experiment design for hardening systems before real incidents.
Production observability depth for backend systems: OpenTelemetry propagation, Prometheus cardinality, logs, sampling, traces, profiling, service maps, and incident evidence.