performance
Practical resources about performance for software engineers.
103 results
Optimizing for Speed and Efficiency
Performance is a feature. Slow applications lose users, increase infrastructure costs, and create a poor developer experience. Profiling, benchmarking, and systematic optimization are essential skills for senior engineers.
This section covers profiling techniques, database query optimization, frontend bundle analysis, memory leak detection, and latency reduction strategies. Each guide includes measurable targets and before/after benchmarks.
Concurrent Async Tasks with asyncio.gather and Task Groups
Execute multiple async operations concurrently in Python using asyncio.gather, asyncio.TaskGroup,...
asyncio.Semaphore: Limit Concurrent API Calls in Python
Use asyncio.Semaphore in Python to cap concurrent API calls, database queries, and resource access...
Parallelize CPU and I/O Work with ThreadPoolExecutor
Use Python's ThreadPoolExecutor for parallel I/O operations, thread-safe result collection, Future...
Build Async Systems with Rust Tokio Runtime
Build async systems in Rust using the Tokio runtime with tasks, channels, select, synchronization...
Caching & Memoization in Python, JavaScript, and Java
How to cache expensive computations and API responses using in-memory LRU, TTL, and distributed...
PostgreSQL Query Optimization and Indexing Strategies
Analyze and optimize slow PostgreSQL queries using EXPLAIN, proper indexing, partial indexes, and...
Redis Cache Patterns for High-Performance Applications
How to implement cache-aside, write-through, and write-behind patterns with Redis to reduce...
Read Large Files in Node.js with Streams (5GB in 64KB RAM)
Process GB-sized files in Node.js with createReadStream, readline, Transform pipelines, and...
Debounce and Throttle Functions in JavaScript
Control function execution rate with debounce and throttle. Covers leading and trailing edge,...
Batch and Cache Database Queries with GraphQL DataLoader
Use DataLoader to coalesce individual load requests into batched database calls, solving the N+1...
Detect and Fix N+1 Queries in GraphQL Resolvers
Identify N+1 query problems in GraphQL resolvers using logging, DataLoader, and query analysis...
Distribute Background Tasks with Python Celery and Redis
Set up Celery with Redis broker for distributed task processing including task chaining, groups,...
Enable Brotli Compression in Nginx for Static Assets
Configure Brotli compression in Nginx to shrink JavaScript, CSS, and HTML assets with better ratios...
Implement Cache Invalidation Strategies
How to keep caches consistent with databases using TTL, write-through, write-behind, and...
Caching Strategies: Browser, CDN, Redis & Database
Implement effective caching at every layer of the stack: browser cache, CDN edge, Redis application...
CDN Edge Caching: Cloudflare, CloudFront, Fastly
Configure edge caching rules on Cloudflare, AWS CloudFront, and Fastly: TTL policies, cache keys,...
Set Up Connection Pooling for Databases and HTTP Clients
Set up connection pooling for PostgreSQL, MySQL, Redis, and HTTP clients in Python, JavaScript, and...
Optimize Queries with Database Indexing
How to create, analyze, and maintain indexes to speed up database queries and avoid common indexing...
Debounce and Throttle
How to implement debounce and throttle patterns to control function execution frequency for search...
Implement Lazy Loading for Images, Components, and Data
How to defer loading of non-critical resources until they are needed, improving initial page load...
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