Surviving Black Friday: Tales from an e-Commerce Engineer

on YouTube ↗35m

" summary

Capacity planning story with concrete tactics: Ruby on Rails + Solidus on AWS, payment testing via Stripe sandbox, load tests run with flood.io, and Postgres RDS vertical scaling plus adding app servers. Peak traffic hits ~10x normal, some measured metrics exceed targets 2X–4X, checkout bottleneck is DB CPU from inventory accounting, mitigation is disabling inventory tracking and scaling up (took minutes to tens of minutes). Outcome: revenue target exceeded despite a midnight outage; roadmap moves to pre-generated pages and asynchronous checkout.

AI-written summary · about

" chapters (7)

1. 0:00Start
2. 1:17Glossier.
3. 5:451. MAKE A TEAM
4. 16:39A FRAMEWORK TO IDENTIFY BOTTLENECKS PICK ONE OF EACH COLUMN
5. 25:22SYMPTOMS (APP LEVEL)
6. 26:47REMEDIATION: 1. DISABLE INVENTORY TRACKING 2. SCALE UP APP SERVERS 3. SCALE UP DATABASE
7. 34:05SUCCESS! NEW BRAND LAUNCH

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