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2000+ Courses · 15+ Technology Domains
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GP-DOE
Google Cloud — Professional Certification · GP-DOE · Valid 2 Years

Professional Cloud

DevOps Engineer GP-DOE

A Professional Cloud DevOps Engineer implements processes throughout the systems development lifecycle using Google-recommended methodologies. They build CI/CD pipelines, apply SRE principles, implement observability, and balance service reliability with delivery velocity on Google Cloud.

Cloud Build Cloud Deploy GKE Terraform Cloud Monitoring Skaffold Artifact Registry Cloud Run SRE Error Budgets
Enroll Now Brochure
GP-DOE — GCP DevOps and SRE Pipeline
Cloud Build Pipeline — Triggered by push to main Step 1: Build Step 2: Test Step 3: Security Scan Step 4: Deploy to Staging Step 5: Promote to Prod CI/CD Pipeline — Cloud Build + Cloud Deploy Source GitHub · Cloud Source Build Cloud Build Test Unit · Integration Staging Cloud Deploy Production Canary · Full SRE Dashboard — SLO Tracking Availability SLO 99.9% target · 99.95% actual Latency SLO 200ms p99 · 145ms actual Error Rate SLO 0.1% budget · 0.04% used Infrastructure as Code — Terraform resource google_container_cluster prod | module gke_autopilot | module cloud_run_service | module monitoring_dashboard Observability Stack Cloud Monitoring Metrics · Alerting · Dashboards Cloud Logging Log Router · Log-Based Metrics Cloud Trace Distributed Tracing · Latency Cloud Profiler CPU · Memory · Heap Profiling $ gcloud deploy releases create release-$(date +%Y%m%d-%H%M) \ --delivery-pipeline=prod-pipeline --region=us-central1 \ --images=api=gcr.io/project/api:latest ✔ Release created. Deploying to staging... Awaiting approval for prod.
5
Domains
Full GP-DOE scope
20+ hrs
Duration
Lab-first learning
Professional
DevOps cert
SRE focused
24/7
Support
Expert guidance
Exam At a Glance
⚙️
50-60
Questions
Multiple choice format
⏱️
2 Hours
Exam Duration
Online or test centre
💵
$125 USD
Exam Cost
Pearson VUE platform
🏅
Professional
Cert Level
3+ years experience
🎯
Must Pass
Passing Score
Google-defined threshold
🔄
2 Years
Validity
Recertify to maintain
Market Pulse 2025

GCP DevOps and SRE Demand Is Surging

Cloud Build, Cloud Deploy, and Google SRE methodology are now the gold standard for software delivery. GP-DOE holders are at the forefront of every high-velocity engineering organisation.

50,000+
Active Job Openings

DevOps and SRE roles on Google Cloud are listed as required or preferred across Google Cloud partners, hyperscalers, startups, and Fortune 500 companies globally.

40%
Year-on-Year Growth

GCP DevOps engineer roles specifying Cloud Build, Cloud Deploy, and SRE expertise have grown 40% year-on-year as organisations accelerate delivery velocity on GCP.

₹12–32 LPA
Average Salary Range

DevOps engineers and SREs with GCP expertise command premium salaries. Staff SREs and Platform Engineering Leads at top companies earn ₹25–40+ LPA.

550+
Companies Actively Hiring

From fintech and media to healthcare and global enterprises — every team shipping software on Google Cloud needs certified DevOps engineers to build and operate delivery pipelines.

What You Master

The Complete GCP DevOps and SRE Skill Set

From bootstrapping a GCP organisation to building production CI/CD pipelines, applying SRE practices, and optimising service performance — every GP-DOE domain with hands-on labs.

♾️
Full GCP DevOps Pipeline

Master the complete GP-DOE workflow — organisation bootstrap with Terraform, CI/CD with Cloud Build and Cloud Deploy, SRE with SLOs and error budgets, monitoring with Cloud Monitoring, and performance optimisation with Cloud Profiler and Cloud Trace.

Cloud BuildCloud DeployGKETerraformSREMonitoringSkaffoldCloud Run
🔧
CI/CD Pipelines

Cloud Build triggers, YAML configs, canary deployments, and progressive delivery with Cloud Deploy for GKE and Cloud Run.

❤️
SRE Practices

SLOs, SLIs, error budgets, postmortem culture, incident management, and toil reduction using Google SRE methodology.

5
domains covering DevOps bootstrap, CI/CD, SRE, monitoring, and performance optimisation.
📊
Observability

Cloud Monitoring dashboards, Cloud Logging, Cloud Trace distributed tracing, and Cloud Profiler for full stack visibility.

🏗️
Infrastructure as Code

Terraform modules for GCP org bootstrap, Shared VPC, GKE clusters, and managed service provisioning. Deployment Manager and Anthos Config Management for policy enforcement.

resource "google_container_cluster"
 "prod" {
  name = "prod-cluster"
  enable_autopilot = true
}
🚀
Progressive Delivery

Blue/green, canary, and rolling deployments with Cloud Deploy. Traffic splitting on Cloud Run and GKE for safe releases.

Performance Tuning

Cloud Profiler CPU and memory analysis, Cloud Trace latency debugging, and resource utilisation optimisation strategies.

Security in DevOps
Secure the Software Supply Chain

Binary Authorization for container image verification, Secret Manager in build pipelines, SAST/DAST integration, and Artifact Registry vulnerability scanning — security at every stage of the delivery pipeline.

Why GP-DOE

The Essential Google Cloud DevOps Certification

Software delivery speed and reliability are competitive advantages. GP-DOE proves you can build the pipelines, apply the SRE practices, and operate the monitoring systems that high-performing engineering teams depend on.

CI/CD Is Non-Negotiable

Cloud Build and Cloud Deploy are core exam services. GP-DOE validates deep skills in automated build, test, and progressive delivery pipelines that ship features safely and rapidly to production.

SRE Is a Competitive Advantage

SLOs, error budgets, and postmortem culture transform reliability from a cost into a product feature. GP-DOE proves you can apply Google SRE methodology to real production systems on GCP.

Infrastructure as Code Enables Scale

Terraform and Deployment Manager manage GCP resources repeatably at organisational scale. GP-DOE ensures DevOps engineers can provision and govern cloud infrastructure as code.

Observability Drives Decisions

Cloud Monitoring, Cloud Logging, and Cloud Trace provide the signals teams need to operate reliably. GP-DOE validates expert-level implementation of monitoring and alerting strategies for production services.

Opens Premier DevOps and SRE Roles

GP-DOE holders qualify for Senior DevOps Engineer, Staff SRE, and Platform Engineering Lead roles — some of the most impactful and highest-paid positions in modern software delivery organisations globally.

Technologies You Will Master
Cloud Build
Cloud Deploy
Google Kubernetes Engine
Terraform
Cloud Monitoring
Cloud Logging
Skaffold
Artifact Registry
Cloud Run
Cloud Trace
Prometheus on GCP
Helm Charts
GitOps / FluxCD
Secret Manager
Cloud Functions
Network Policies
Cloud Build
Cloud Deploy
Google Kubernetes Engine
Terraform
Cloud Monitoring
Cloud Logging
Skaffold
Artifact Registry
Cloud Run
Cloud Trace
Prometheus on GCP
Helm Charts
GitOps / FluxCD
Secret Manager
Cloud Functions
Network Policies
Curriculum

5-Domain GP-DOE Programme

Complete DevOps and SRE curriculum from GCP organisation bootstrap through CI/CD, site reliability engineering, monitoring, and service performance optimisation.

  • Designing the overall resource hierarchy — organizations, folders, projects, and IAM policy inheritance for DevOps teams
  • Managing infrastructure as code — Terraform modules, remote state, Cloud Deployment Manager, and policy as code
  • Designing a CI/CD architecture stack in Google Cloud, hybrid, and multi-cloud environments
  • Managing multiple environments — dev, staging, production promotion strategies using Cloud Deploy delivery pipelines
  • Organization-wide networking, shared VPC provisioning, and IAM foundations for DevOps org bootstrap
  • Designing and managing CI/CD pipelines — Cloud Build trigger types, pipeline stages, and build artifact management
  • Implementing CI/CD pipelines — Dockerfile builds, Kaniko cache, test integration, and automated quality gates
  • Managing CI/CD configuration and secrets — Secret Manager binding, environment variables, and build substitutions
  • Securing the CI/CD deployment pipeline — Binary Authorization policy, supply chain security, and signed container images
  • Progressive delivery — canary deployments, blue/green strategies, and approval gates with Cloud Deploy
  • Balancing change, velocity, and reliability — error budgets, toil measurement, and release gates based on SLO compliance
  • Managing service lifecycle — capacity planning, load testing, dependency management, and graceful degradation
  • Ensuring healthy communication and collaboration — on-call rotations, runbooks, escalation policies, and blameless culture
  • Mitigating incident impact on users — incident commander role, communication templates, and rollback procedures
  • Conducting a postmortem — structured format, timeline reconstruction, contributing factors, and systemic action items
  • Managing logs — Cloud Logging log routers, sinks to BigQuery/GCS/Pub/Sub, retention policies, and log-based metrics
  • Managing metrics with Cloud Monitoring — custom metrics, metric descriptors, and SLO-aligned alerting policies
  • Managing dashboards and alerts — SLO dashboards, composite alerts, notification channels, and PagerDuty integration
  • Managing Cloud Logging platform — aggregated sinks, Log Analytics, and BigQuery export for operational analysis
  • Implementing logging and monitoring access controls — IAM roles for observability resources and log exclusion filters
  • Identifying service performance issues — Cloud Profiler CPU/memory flamegraphs, and latency outlier analysis
  • Implementing debugging tools — Cloud Debugger snapshot capture, and Cloud Trace waterfall latency breakdown
  • Optimizing resource utilization and costs — VM rightsizing, Spot Instances in GKE, committed use discounts, autoscaling policies
  • Load testing and capacity planning — traffic simulation with k6 or Locust, autoscaler warm-up, and SLO headroom analysis
  • Performance baselines and SLI selection — latency p50/p99, availability, and throughput SLIs for different workload types
Course Snapshot
5 Domains
Full GP-DOE scope
20+ Hours
Total learning time
Professional
DevOps/SRE level
Tech Support
Call / WhatsApp
Mon–Fri
9 AM – 6 PM
Enroll Now Download Brochure
Have Questions?

Chat with our GCP DevOps certified trainers instantly.

WhatsApp Us
Pricing & Packages

Get a Custom Quotation

Flexible pricing for video, live, and blended training modes — we reply within 24 hours.

Career Outcomes

GP-DOE Careers in DevOps and SRE

DevOps and SRE roles are among the most in-demand and highest-paid positions in software engineering. GP-DOE validates the skills that every high-velocity engineering organisation needs.

Google Cloud
SRE
Razorpay
DevOps Eng
Flipkart
Platform Eng
Swiggy
Release Eng
DevOps Engineer (GCP)
Build and maintain CI/CD pipelines with Cloud Build and Cloud Deploy, manage GKE clusters, implement Terraform IaC, and drive automation across the entire software delivery lifecycle.
₹12–32 LPA
Site Reliability Engineer
Apply Google SRE methodology — SLOs, error budgets, and incident management — to production GCP services, ensuring reliability targets are met without sacrificing delivery speed.
₹14–38 LPA
Platform Engineer
Build and maintain the developer platform — GKE, Artifact Registry, Cloud Build pipelines, and self-service tooling — that enables engineering teams to ship features safely and efficiently.
₹14–36 LPA
Observability Engineer
Design and implement Cloud Monitoring dashboards, SLO alerting, structured logging, and distributed tracing systems that provide full operational visibility across GCP workloads.
₹12–28 LPA
Release Engineer
Own the deployment pipeline and release process — implementing progressive delivery, rollback automation, and deployment governance across multi-environment GCP organisations.
₹12–30 LPA
5
Domains
20+ hrs
Training Hours
Professional
Cert Level
GP-DOE
GCP Certified
New Batch Starting Soon — Limited Seats Available

Ready to Master Google Cloud DevOps and SRE?

Join DevOps engineers and SREs shipping software at scale on Google Cloud. GP-DOE validates the skills to build CI/CD pipelines, apply SRE principles, and operate production services with world-class reliability.

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