Tutorials, stack comparisons, tool reviews, and productivity tips — code that ships.
Your app is deployed in us-east-1. Users in Singapore get 300ms latency for every request. When that single region goes down, your entire service goes dark. Here is how to deploy across multiple AWS/GCP regions with DNS routing, database replication patterns, and the failover playbook that keeps your API online when a data center disappears.
Your JSON API serves 400KB responses, the mobile clients on 3G wait five seconds for a full payload, and compressing everything with Brotli at level 11 looks like an easy win. The benchmark says it cuts bytes by 30%. The CPU flame graph says it adds 80ms of overhead per request. Here is the compression strategy that actually improves p95 latency without turning your Node.js process into a compression farm.
Your application computes the same derived values over and over: full names from first and last, price with tax, JSON field extracts. Move that logic into Postgres generated columns and eliminate the code path entirely. This post covers the DDL, the stored vs virtual trade-off, index strategies, and the migration pattern that does not require downtime.
Most teams throw a cache in front of their database and hope for the best. The wrong caching strategy gives you stale data, thundering herds, or memory that never gets evicted. Here is the decision framework for cache-aside, read-through, write-behind, and write-through, with working Node.js + Redis code for each.
A misconfigured database connection timeout turns a brief network blip into a 10-minute outage. Here is how to set connectionTimeoutMillis, idleTimeoutMillis, statement_timeout, and TCP keepalives so your Node.js app fails fast instead of hanging silently.
You are still writing correlated subqueries that iterate row by row, or joining aggregated subqueries that scan the same table twice. Postgres LATERAL JOINs solve both problems in a single pass: the top-N-per-group pattern, the nearest-neighbor search, and the set-returning-function explode, all with an index-friendly execution plan.
Loading a 2GB CSV into an array kills your server. Here is how to stream, parse, and backpressure CSV data in Node.js without ever holding more than one row in memory at a time.
The deploy script kills the old process, the load balancer still points at it, and every active connection gets a 502. Here is the blue-green deployment pattern that switches traffic atomically, runs smoke tests in the live slot, and rolls back in under five seconds.
One wrong file can crash your Node.js process, fill your disk, or expose your internal network. Here is the upload pipeline that validates content, streams to storage, and rejects everything dangerous before it touches your application memory.
Node.js has shipped a production-ready test runner since v20 that needs zero config, runs TypeScript natively, and handles 90% of what you reach for Jest or Mocha to do. Here is the migration path, the API patterns that matter, and the edge cases where you still need a third-party tool.