Performance Engineering & Optimization Topics
Backend system optimization, performance tuning, memory management, and engineering proficiency. Covers system-level performance, remote support tools, and infrastructure optimization.
Performance Monitoring & Observability
Instrumenting systems so performance is continuously measured and regressions are visible. Covers performance metrics and SLIs, dashboards and time-series signals, tracing, alerting on latency and saturation, and using telemetry to guide tuning. Focuses on the ongoing measurement loop rather than one-off profiling.
Performance Profiling & Bottleneck Analysis
Techniques for measuring where time and resources go in a running system and isolating the dominant bottleneck. Covers CPU/memory/allocation profiling, flame graphs, sampling vs instrumentation, hotspot identification, and distinguishing symptom from root cause. Emphasizes forming a measurement-first hypothesis before optimizing rather than guessing.
Latency Analysis & Optimization
Understanding and reducing response time across the request path, including tail latency, latency budgets, and critical-path analysis. Covers where latency accumulates (compute, I/O, serialization, network hops, queuing), percentile-based reasoning (p50/p95/p99), and targeted techniques to shave the dominant contributors. Focuses on end-to-end latency as an engineered property rather than an incidental one.