When performance slips, everything gets weird: timeouts, “random” errors, weekend deploy fear, and the kind of latency that turns good UX into a rage-click simulator. I help teams stabilize the system, isolate bottlenecks, and implement fixes that hold up under real load.
This work is equal parts engineering and discipline: profiling, caching, async patterns, database tuning, and observability that tells the truth. The result is a system that’s faster, more resilient, and easier to operate.
We start by establishing a baseline: where time is spent, where failures occur, and what the system looks like under expected traffic. Then we prioritize the changes that create the biggest impact with the least risk.
This is where the calm comes from: fewer surprises, clearer rollback plans, safer releases, and a feedback loop that catches problems before your users do.
Pinpoint hot paths, slow queries, memory pressure, and throughput limits.
Reduce crashes and timeouts with retries, circuit breakers, and safe failure modes.
Tighten CI/CD, release gates, rollback paths, and production readiness checks.
Metrics, logs, traces, and alerts that help you act fast — without noise.
Evidence. We establish a baseline (response time, throughput, error rates), then use profiling and tracing to identify the actual bottleneck — often a database query pattern, an N+1 issue, a synchronous call chain, or a missing cache.
Both — because performance is a system property. Sometimes it’s code and data access, sometimes it’s container limits, network hops, load balancer settings, or resource contention. The fixes follow the evidence, not the latest fad.
Yes. We harden failure paths (timeouts, retries, fallbacks), tighten monitoring, and remove the common root causes (bad deployments, unbounded queries, memory spikes). The goal is fewer incidents — and faster recovery when they happen.
Signals that help you answer: “What broke? Where? Why? How do we fix it fast?” That usually means consistent logs, meaningful metrics, distributed tracing, and alerts that reflect user impact — not alert spam.