A hitchhicker's guide to Serverless computing
summary
Demo app 'pic-a-daily' is a photo‑sharing PWA: uploads land in Cloud Storage, trigger Cloud Functions (Node) that call Vision API, update Datastore, and Pub/Sub fires a periodic tag‑cloud function; front end runs on App Engine (Java) and admin on Go. Stackdriver provides logs, traces and an SLO dashboard that surfaces a recurring ~3s latency spike from cold starts; App Engine versioning lets you split traffic and migrate/rollback instantly. Argues serverless (including Knative containers) supports scale to zero and needs SRE practices like SLIs, SLOs and an error budget.
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chapters (14)
- 0:00Start
- 4:51Google Cloud
- 8:53Containers
- 13:08Auto Scaling
- 17:17Event-Driven Logic
- 18:35How Do You Leverage Google's Experience of Running Services at Massive Scale
- 23:02Infrastructure
- 26:11Service Level Indicators
- 29:25Versioning
- 31:11Tools
- 33:16Admin Tool
- 41:00Recap
- 47:19Vision Analysis
- 49:13Is It Possible To Have an Sre That Looks after Two Products or Two Different Teams
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