AI-Driven Database Query Optimization: 10x Performance Improvement
Using GPT-4 to optimize slow SQL queries - reduced query time from 45s to 4s, identified missing indexes, and improved database schema
37 posts
Using GPT-4 to optimize slow SQL queries - reduced query time from 45s to 4s, identified missing indexes, and improved database schema
Leveraging Python's asyncio and aiohttp to build high-performance async applications, handling 10K+ concurrent requests.
Implementing a fast and relevant full-text search system using Elasticsearch, including indexing strategies, query optimization, and relevance tuning.
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.
How we scaled our microservices architecture from 500 to 10,000 requests per second using Kubernetes, including real metrics, challenges, and lessons learned.
Optimizing AWS Lambda functions to reduce cold starts from 3 seconds to 300ms using provisioned concurrency and other techniques.
Building blazingly fast web services with Rust and Actix-web, achieving 50K+ requests per second with minimal resource usage.
Advanced Go concurrency patterns using goroutines and channels, with real-world examples from high-throughput systems.
Implementing effective Redis caching strategies to reduce API response time from 500ms to 10ms, handling 10K+ requests per second.
Exploring Next.js 11's new features including improved performance, Webpack 5 support, and enhanced developer experience.
Optimizing PostgreSQL JSONB queries from 2 seconds to 50ms using indexes, query planning, and schema design.
Deep dive into React Server Components, exploring the new paradigm for building faster React applications with zero-bundle-size components.
Optimized MongoDB queries with aggregation pipeline - query time 30s → 2s (93% faster), complex analytics now possible
Upgraded to PostgreSQL 13 - B-tree deduplication, parallel vacuum, incremental sort. Query performance improved by 40%, vacuum 2x faster
Migrated from REST to gRPC microservices in Go - latency 100ms → 5ms (95% reduction), throughput 10x higher
Built API gateway with Kong - rate limiting, authentication, caching. Handles 50K req/s, reduced backend load by 70%
Optimized Elasticsearch cluster - proper indexing, shard sizing, query optimization. Query time 10s → 100ms (99% improvement)
Optimized Nginx for high traffic - 10K → 100K concurrent connections, latency -60%, proper caching and load balancing
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
Migrated to Python 3.8 - walrus operator, positional-only params, f-string debugging. Code cleaner, performance +15%
Profiling and optimizing Go applications - reducing CPU usage by 60% and memory by 70% using pprof, benchmarks, and real production examples
Choosing the right Docker storage driver - comparing overlay2, devicemapper, and aufs with real-world benchmarks and production recommendations
Implementing HPA to automatically scale microservices based on CPU, memory, and custom metrics
Migrating to Docker BuildKit for parallel builds, better caching, and 3x faster build times
Upgrading to Python 3.8 and leveraging new features like the walrus operator, positional-only parameters, and performance improvements
My experience migrating a Vue SPA to server-side rendering using Nuxt.js for better SEO and performance
Optimizing Vue.js application performance - code splitting, lazy loading, computed caching, and virtual scrolling
Building robust concurrent systems in Go - worker pools, pipelines, context cancellation, and avoiding common pitfalls
Implementing effective caching patterns with Redis to dramatically improve API performance
Migrating a Flask service to async Python with aiohttp, achieving 5x throughput improvement
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
War story: How I tracked down and fixed a memory leak in production using heap dumps and MAT.
Optimizing slow queries with proper indexing strategies - B-tree, partial indexes, and covering indexes in production