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.
Database Query Tuning Checklist
A working checklist for tuning slow SQL queries: read the EXPLAIN plan, fix indexes, kill N+1...
Load Test Plan Template
Fillable load test plan template: scenarios, ramp-up profiles, pass/fail thresholds, monitoring...
Performance Budget Template
Template for defining and enforcing web performance budgets: LCP, INP, CLS targets, resource...
Capacity Planning Template
A reusable template for planning system capacity, estimating growth, and preventing performance...
Load Test Report Template: Benchmarks and Bottlenecks
A standardized template for documenting load test results: throughput, latency percentiles, error...
Complete Guide to LLM Application Architecture
Build production LLM applications end to end: API layers, prompt management, streaming, caching,...
Complete Guide to LLM Cost Optimization
Cut LLM costs in production: model routing, prompt compression, caching, Batch API, token budgets...
OpenAI API Guide: Python Examples for Production
Production guide to the OpenAI API: Responses API, chat completions, streaming, function calling,...
Complete Guide to GraphQL Caching
Cache GraphQL responses at every layer: CDN, gateway, DataLoader, persisted queries, and...
System Design Interview: Framework, Examples & Practice
A practical framework for system design interviews: how to structure your answer, the concepts...
Complete Guide to Application-Level Caching
In-memory, distributed and hybrid caches at the app layer: LRU, TTL, two-tier strategies, sizing,...
Complete Guide to Cache Invalidation
Cache invalidation strategies: TTL, event-driven, versioned keys, tag-based purging, write-through,...
Complete Guide to CDN Caching Strategy
CDN caching for web apps and APIs: edge caching, cache keys, headers, invalidation, surrogate keys,...
Complete Guide to Redis Caching Strategies
Choose and implement the right Redis caching pattern — cache-aside to refresh-ahead — with...
Complete Guide to Go Concurrency
Go concurrency in production: goroutines, channels, context, sync, worker pools, pipelines, rate...
Complete Guide to Java Concurrency
Java concurrency in production: threads, locks, CompletableFuture, virtual threads, executors,...
Complete Guide to Python Asyncio
Master asynchronous Python programming with asyncio. Covers coroutines, tasks, event loops,...
Complete Guide to Python Asyncio in Production
Run asyncio in production: event loops, TaskGroup, cancellation, backpressure, debugging, and async...
Blob Storage: S3, GCS, and Azure Blob Patterns for Engineers
A practical guide to cloud blob storage: bucket design, access control, lifecycle policies,...
Connection Pooling: Optimize Database Connections for Scale
A practical guide to database connection pooling: sizing pools, handling idle timeouts, detecting...
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