DevOps in a Serverless context, opportunity [...] ?
summary
Describes concrete DevOps/SRE practices for serverless systems by defining SLOs and error budgets (example: 95% within 2s) and measuring budget consumption. Uses Google Cloud tech—Cloud Functions, Cloud Storage, Datastore, App Engine and Stackdriver—for logs, tracing, alerts and traffic splitting; builds a photo‑sharing microservice (upload → Vision API labeling → datastore updates) and demonstrates canary/blue‑green rollouts, rollbacks, alerting, and how instrumentation plus postmortems and platform rules make serverless operable at scale.
AI-written summary · about
chapters (4)
related talks
24mFinDevOps and Site Reliability in the Serverless Age
05mUnleash your DevOps with Serverless
40mDevOps in the era of serverless computing
29mHow is the role of DevOps changing in a Serverless environment?
23mServerless Ops: What to Do / This is What We Do, When the Server Goes Away
32mEmbracing Serverless Ops
27mSite Reliability in the Serverless Age
46mTwo Frames on Development and Operations