Performance Monitoring and Optimization Questions

Practices for instrumenting, monitoring, diagnosing, and optimizing the performance of production systems and their supporting infrastructure. Areas covered include observability and telemetry (metrics, logs, traces), capacity planning, load and stress testing, identifying bottlenecks across databases, APIs, and background processing pipelines, query optimization, indexing and partitioning strategies, caching and asynchronous processing, batching and rate limiting, trade offs between latency and throughput, alerting and runbooks, and post incident analysis to prevent regressions. Also covers techniques for monitoring high volume data stores and optimizing system responsiveness at scale.