Deep systems understanding · Study map 84 of 85
Lab 4 · Survive overload and a failed worker
Suggested preparation: Lab 3 · Decide whether to split prefill and decode
Picture it
Think of a submarine springing a leak. The goal isn't to pretend the ocean doesn't exist, but to ensure the bulkheads seal, the pumps engage, and the crew breathes. A robust system doesn't panic and flood the other compartments by endlessly retrying doomed actions; it contains the damage, cancels the compromised tasks, and keeps the rest of the ship afloat.
What to understand
- Admission, retry limits, cancellation, canary rollback
- Failure injection and per-tenant SLOs
Follow the references
1 · Book chapter
Google SRE · Handling overload ↗Use the overload chapter to predict retry amplification.
2 · Book chapter
Google SRE Workbook · Canarying releases ↗Define abort and rollback conditions before the drill.
Make it concrete
In a test environment, inject a burst, a slow client, and a worker death. Deliver the incident timeline, rejected/duplicated work counts, cache cleanup evidence, recovery time, and the changed runbook.
You understand it when…
Did recovery create more load than the original failure?
This is a study map. Follow the reference for the full explanation; use the question to test your mental model. Browse the reference shelf.