Understanding resilient pipeline in production (#1182)
Understanding the Problem
When building modern web applications, performance is not just a feature — it's a requirement. Users expect sub-second response times, and search engines penalize slow pages. This post explores practical techniques for optimization.
Key Metrics
- Time to First Byte (TTFB)
- Largest Contentful Paint (LCP)
- Cumulative Layout Shift (CLS)
"Premature optimization is the root of all evil" — Donald Knuth
However, measured optimization based on profiling data is the root of all performance gains. Let's look at real-world examples.
Database Optimization
-- Before: full table scan
SELECT * FROM posts WHERE status = 'published' ORDER BY created_at DESC;
-- After: indexed query with pagination
SELECT id, title, summary FROM posts
WHERE status = 'published'
ORDER BY created_at DESC
LIMIT 20 OFFSET 0;
The difference? From 850ms to 12ms on a table with 500K rows.
Caching Strategy
Use a multi-layer cache:
- L1: In-memory (APCu) — microsecond access
- L2: Redis — millisecond access
- L3: Database — last resort
Each layer has different TTLs and invalidation strategies.
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