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Engineering for High Volume
Tutorial Series

Engineering for High Volume

A five-part field guide to running commerce and business systems under heavy, spiky load: load balancing and autoscaling, queues and workers, the data tier with Redis and pgvector, observability, and security with zero-downtime deploys.

5 articles~60 min total
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Autoscaling for Traffic Spikes: What Actually Scales, and What Shouldn't

A scheduled spike peaks in seconds, while a new server takes minutes. Learn what scales under a burst, why pre-scaling beats reactive rules, how to run SSR and PHP-FPM tiers, and how to load test it.

Anichur Rahaman11 min6
2

Queues and Workers at Scale: From One Serial Worker to an Autoscaled Process Pool

A burst exposes background jobs first. Follow one setup from a single serial worker, where only 20-26% of jobs finished on time, to separate queues and a Horizon process pool that scales in seconds.

Anichur Rahaman12 min6
3

The Data Tier Under Load: PostgreSQL, Connection Pooling, Redis and pgvector

Resizing the database is the usual first reaction to a traffic spike, and often the wrong one. Learn to size by write throughput, pool connections with PgBouncer, split Redis or Valkey by role and run pgvector search without slowing checkout.

Anichur Rahaman12 min8
4

Observability for High-Volume Systems: Logs, Metrics and Traces You Can Act On

A request ID, structured logs in OpenSearch, four golden signals, sampled traces and alerts tied to user impact: the small set that lets you find the slow layer in minutes, plus how to watch a load test and an event day.

Anichur Rahaman12 min8
5

Securing and Shipping High-Volume Systems: A Hardened Edge and Zero-Downtime Deploys

A walk through the security layers from CDN and WAF to a private network, and a delivery pipeline of rolling and blue/green deploys with expand and contract migrations, ending with a go-live checklist for spike day.

Anichur Rahaman13 min9