Site Reliability Engineering & Observability Bootcamp Certificate
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Bootcamp Mastery Certificate B36
Primary spine: Google Cloud SRE practitioners and the class SRE implements DevOps / Engineering for Reliability series. Learn reliability as an engineering discipline: define SLIs/SLOs, use error budgets, reduce toil, instrument metrics/logs/traces, build actionable alerts, operate incidents and turn failures into measurable system improvements.
Benchmark: Google Cloud publishes the SRE Fundamentals, class SRE implements DevOps, Engineering for Reliability, OpenTelemetry/Cloud Trace and Prometheus learning videos publicly. Zuyini curates these free video resources and applies its own independent build-and-proof completion rubric; this does not represent a Google-issued credential or endorsement.
Core Video Sequence
01 — Site Reliability Engineering fundamentals
02 — SLIs, SLOs + SLAs as a common language
03 — Risk, reliability targets + error budgets
04 — Toil, automation + engineering leverage
05 — Actionable alerting + page quality
06 — Metrics, logs + traces for distributed systems
07 — OpenTelemetry + distributed tracing
08 — Prometheus instrumentation + service metrics
09 — Incident command + human coordination
10 — Blameless postmortems + learning systems
Build-Along Checkpoints
- Checkpoint 1: Choose a real service and map user journeys to candidate SLIs; define at least two SLOs, measurement windows, an SLA boundary where relevant and an explicit error-budget policy.
- Checkpoint 2: Instrument the service with application metrics plus structured logs and OpenTelemetry traces; include request success, latency and dependency signals with correlation across boundaries.
- Checkpoint 3: Build dashboards around user-centered reliability and golden signals; create an SLO/error-budget view and remove or downgrade at least one noisy infrastructure-only alert.
- Checkpoint 4: Add Prometheus-style instrumentation and actionable alerting with runbook links, ownership and escalation; test alert delivery and prove each page requires a human action.
- Checkpoint 5: Inventory recurring operational toil, automate one manual task and quantify time/risk reduction; define capacity headroom and one safe progressive-change or rollback mechanism.
- Checkpoint 6: Run a controlled incident game day with clear roles and communications, capture detection/mitigation/recovery timestamps, then write a blameless postmortem with owned preventive actions.
7-Day Independent Capstone
- Day 1: Define service journey, SLIs/SLOs, error budget, failure taxonomy, escalation threshold and reliability-versus-velocity policy.
- Day 2: Instrument metrics, structured logs and OpenTelemetry traces; verify cross-service correlation and build a reliability dashboard.
- Day 3: Add Prometheus metrics, SLO-burn alerts and runbooks; tune pages to be user-impact-oriented, actionable and owned.
- Day 4: Automate one measured toil source; add capacity/headroom tracking plus a safe deployment rollback or feature-control path.
- Day 5: Inject latency, dependency and partial failures; measure MTTD/MTTR and refine telemetry, alerts and runbooks from evidence.
- Day 6: Run a timed incident with command, operations and communications roles; restore service and validate escalation/handoffs.
- Day 7: Publish repo/config, SLO policy, dashboards, alert rules, automation proof, incident timeline, postmortem and action backlog.
SRE - Measure, Alert, Respond & Learn
Build a reliability operating system for a real service. Completion requires user-centered SLOs and error budgets, correlated telemetry, high-signal alerts, measured toil reduction, incident command, recovery evidence and a blameless postmortem whose action items measurably improve the service.
Proof Rubric — What Must Be Shown
- SLOS: User-centered SLIs/SLOs + error-budget policy
- TELEMETRY: Metrics, structured logs + correlated traces
- ALERTING: Actionable pages, burn logic + runbooks
- PROMETHEUS: Instrumented service + queryable signals
- TOIL: Measured manual work + automation evidence
- INCIDENT: Roles, timeline, escalation + recovery proof
- POSTMORTEM: Blameless analysis + owned preventive actions
- IMPROVEMENT: MTTD/MTTR + reliability/velocity learning loop