Black Friday salehingga 60% diskon
  • 60% diskon untuk tahun pertama pada paket tahunan
  • 45% diskon lisensi seumur hidup
Berakhir dalam
Dapatkan penawaran
Engineering for High Volume
Seri Tutorial

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.

5artikelTotal 40 menit
Mulai seri

Konten Seri

1
Lanjutkan

Ready Before the Spike: A Capacity Plan for the Whole Request Path

Adding an app instance is not the same as serving another checkout. Budget readiness time, test the constrained tier and keep spare capacity for failure.

Anichur Rahaman9menit233
2

Queues That Finish the Work: Capacity, Ownership and Safe Recovery

A fast response can hide unfinished business work. Size the worker pool for arrivals and backlog, preserve the accepted record and make retries accountable.

Anichur Rahaman8menit237
3

Protect the Checkout Data Path: Pools, Replicas, Cache and Vector Search

A connection limit is not a capacity plan. Budget every pool, define which reads may be stale and keep disposable cache separate from business obligations.

Anichur Rahaman8menit250
4

Checkout Stuck, CPU Calm: Observability That Finds the Unfinished Work

A green server graph can hide delayed orders. Connect real business outcomes to metrics, protected logs and traces, then give each alert an action and an owner.

Anichur Rahaman6menit240
5

Securing and Shipping at Peak Traffic: A Release Plan You Can Defend

A private origin and a blue/green switch are only part of the story. Plan real capacity, compatible data changes, worker handover and a tested recovery path.

Anichur Rahaman9menit219