PostgreSQL Performance Tuning - From 500ms to 20ms Queries
Practical PostgreSQL performance tuning techniques that reduced query times from 500ms to 20ms, including indexing strategies, query optimization, and configuration tuning.
21 posts
Practical PostgreSQL performance tuning techniques that reduced query times from 500ms to 20ms, including indexing strategies, query optimization, and configuration tuning.
How I optimized a Rust data processing pipeline from 2 seconds to 50 milliseconds through profiling, algorithmic improvements, and Rust-specific optimizations.
Optimizing a React application's load time from 3 seconds to 300ms through code splitting, lazy loading, memoization, and bundle optimization.
Optimizing AWS Lambda functions to reduce cold starts from 3 seconds to 300ms using provisioned concurrency and other techniques.
Using Docker multi-stage builds to reduce image size from 1.2GB to 120MB while improving build times and security.
Implementing effective Redis caching strategies to reduce API response time from 500ms to 10ms, handling 10K+ requests per second.
Optimizing PostgreSQL JSONB queries from 2 seconds to 50ms using indexes, query planning, and schema design.
Upgraded to PostgreSQL 13 - B-tree deduplication, parallel vacuum, incremental sort. Query performance improved by 40%, vacuum 2x faster
Optimized Elasticsearch cluster - proper indexing, shard sizing, query optimization. Query time 10s → 100ms (99% improvement)
Fixed Prometheus high cardinality issue - reduced time series from 10M to 100K (99% reduction). Query performance improved 50x
Optimized MySQL 8.0 with new features - query performance 10x, instant DDL, invisible indexes. QPS 1K → 10K
Optimized Docker images with multi-stage builds - reduced image size from 1.2GB to 50MB (96% reduction). Faster deployments, lower costs
Profiling and optimizing Go applications - reducing CPU usage by 60% and memory by 70% using pprof, benchmarks, and real production examples
Mastering Kubernetes pod placement - node affinity, pod anti-affinity, taints/tolerations, and building a custom scheduler for special workloads
Optimizing Vue.js production builds - code splitting, tree shaking, compression, and reducing bundle size by 96%
Optimizing Vue.js application performance - code splitting, lazy loading, computed caching, and virtual scrolling
Implementing effective caching patterns with Redis to dramatically improve API performance
How I used Docker 17.05's multi-stage builds to create smaller, more secure production images
How I optimized slow database queries using indexes, query analysis, and caching strategies
How I reduced our web app's load time by 75% through code splitting, lazy loading, and asset optimization
Optimizing slow queries with proper indexing strategies - B-tree, partial indexes, and covering indexes in production