Google Cloud DevOps Engineer (Professional)
Implement Site Reliability Engineering (SRE) principles using Google Cloud. Practice 52 comprehensive scenario questions covering SLIs/SLOs/SLAs, Cloud Monitoring, Cloud Logging, error budgets, canary deployments, CI/CD with Cloud Build, and post-mortems.
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The exam consists of 50-60 scenario-based questions in a 120-minute testing session. Registration is $200 USD, with a passing standard around 70%. It tests Site Reliability Engineering (SRE) principles, CI/CD automation, cloud monitoring, and incident response.
Domains include: (1) Applying site reliability engineering principles (~22%), (2) Building and implementing CI/CD pipelines (~25%), (3) Implementing observability (~23%), (4) Managing service availability (~16%), and (5) Managing incident management (~14%).
Service Level Indicators (SLIs) measure real performance (e.g., latency, availability). Service Level Objectives (SLOs) define target reliability goals agreed with stakeholders. The Error Budget (100% - SLO) dictates release velocity: if depleted, releases pause for stability fixes.
Google Cloud Deploy is an opinionated, fully managed continuous delivery service for GKE and Cloud Run. It orchestrates multi-target progressive delivery pipelines (e.g., dev -> staging -> prod) with one-click rollbacks and approval gates.
Blue-Green uses two identical environments; traffic switches instantaneously via Kubernetes Service selector updates. Canary deployment routes a fraction of traffic to new pods using Istio/Anthos Service Mesh or GKE Gateway API to validate health before complete promotion.
Burn-rate alerts trigger when the rate of error budget consumption exceeds critical velocity (e.g., 2% of 30-day budget consumed in 1 hour). This detects catastrophic outages rapidly without generating noise for transient hiccups.
Store Terraform state files in a secure Cloud Storage bucket with object versioning and state locking. Authenticate using Workload Identity Federation in CI/CD pipelines, and enforce compliance policies using Google Cloud Policy Controller or Terraform Sentinel.
Cloud Trace samples distributed incoming requests across microservice hops. SREs inspect latency waterfall charts to identify cascading delays, database connection contention, and slow downstream third-party API dependencies.
Google SRE mandates blameless post-mortems focused on systemic, architectural, and procedural root causes rather than assigning individual fault. Action items must be tracked to completion to prevent incident recurrence.
Log sinks export filtered telemetry data from Cloud Logging to BigQuery for security analytics, Cloud Storage for long-term compliance retention, or Pub/Sub for SIEM ingestion, while excluding verbose debug logs to contain costs.
The credential is valid for two years. Recertification is required every 24 months to validate mastery of updated SRE practices, GKE enhancements, and Google Cloud delivery tooling.
DevOps and SRE specialists holding this credential earn average US salaries between $150,000 and $195,000, serving as Senior SREs, Release Engineers, and Platform Infrastructure Directors.