Cloud & DevOps · GCP DevOps Services

GCP DevOps — CI/CD, GKE & automation.

GCP DevOps services with GCP DevOps automation, CI/CD pipelines on Cloud Build, Kubernetes Engine (GKE) orchestration, and infrastructure-as-code on Google Cloud Platform — streamlined cloud operations for speed and scale.

GCP infrastructure setup

Cloud Build CI/CD pipelines

GKE cluster management

Cloud Run serverless deployment

Infrastructure-as-code (Terraform)

Monitoring with Cloud Operations

GCP

Certified expertise

Google Cloud certified engineers across Compute, GKE, and DevOps.

10x

Faster deployments

Cloud Build pipelines replacing manual release processes.

99.9%

Uptime achieved

GKE clusters with auto-healing and multi-zone redundancy.

40%

Infrastructure cost reduction

Right-sizing, preemptible VMs, and committed-use discounts.

Why MetaDesign

Hire Google Cloud engineers for GCP DevOps engineers who ship production infrastructure.

GCP automation services with Cloud Build, GKE, Cloud Run — Google Cloud done right.

GCP-Native Expertise

Cloud Build, Cloud Deploy, Artifact Registry, GKE, Cloud Run — we build on Google-native services, not generic tools bolted onto GCP.

CI/CD Pipeline Automation

Automated build, test, and deploy pipelines on Cloud Build with container scanning, approval gates, and multi-environment promotion.

GKE & Containerisation

Production Kubernetes on GKE with auto-scaling, Istio service mesh, and Workload Identity — not just cluster setup, but operational excellence.

Teams shipping with MetaDesign

Selected work

Case studies.

View all

Samsung

24/7 DevOps support on GCP for Samsung's global development teams — infrastructure automation with Terraform and container orchestration with Kubernetes.

Samsung

24/7 DevOps support on GCP for Samsung's global development teams — infrastructure automation with Terraform and container orchestration with Kubernetes.

24/7

global support

Terraform

IaC

AI Platform

GCP-based ML platform with GKE for scalable model hosting and Cloud Build for automated deployment pipelines.

AI Platform

GCP-based ML platform with GKE for scalable model hosting and Cloud Build for automated deployment pipelines.

Scalable

AI hosting

Automated

deployments

BUILD.

DEPLOY.

SCALE.

MONITOR.

CI/CD Automation

Cloud Build pipelines with automated testing, container scanning, and multi-environment deployment.

GKE Orchestration

Production Kubernetes clusters with auto-scaling, health checks, and zero-downtime deployments.

Cloud Run

Serverless container deployment for APIs and microservices — pay only for what you use.

Observability

Cloud Monitoring, Cloud Logging, and Cloud Trace for full-stack observability.

Our Approach

GCP DevOps Services: Our Proven Process

Assess

Audit current infrastructure and DevOps maturity on GCP.

Design

CI/CD pipeline architecture, GKE topology, and IaC strategy.

Build

Pipeline development, cluster setup, and infrastructure automation.

Migrate

Workload migration to GCP with minimal disruption.

Operate

Monitoring, cost optimisation, and ongoing DevOps support.

Assess

Audit current infrastructure and DevOps maturity on GCP.

Design

CI/CD pipeline architecture, GKE topology, and IaC strategy.

Build

Pipeline development, cluster setup, and infrastructure automation.

Migrate

Workload migration to GCP with minimal disruption.

Operate

Monitoring, cost optimisation, and ongoing DevOps support.

Customer Value

Six places it pays back
in the first sprint.

Real outcomes our clients report within the first engagement cycle.

Faster time-to-market

Production-ready teams that ship from week one — no ramp-up lag.

Reduced technical risk

Architecture reviews, code audits, and security scans baked into every sprint.

Measurable velocity

Cycle time, PR throughput, and defect density tracked from day one.

Cost predictability

Fixed-price or capped T&M — no surprise invoices, ever.

Continuous improvement

Retros, post-mortems, and process refinement every sprint.

Knowledge transfer

Your team grows. Documentation, pair programming, and workshops included.

Stack

Tools our GCP DevOps
Developers
ship with.

Production-tested toolchains, frameworks, and infrastructure our GCP DevOps engineering teams use to ship scalable, secure solutions.

GCP

GKE

Cloud Build

Cloud Run

Terraform

Cloud Deploy

Artifact Registry

GCP

GKE

Cloud Build

Cloud Run

Terraform

Cloud Deploy

Artifact Registry

Cloud Monitoring

Cloud Logging

Cloud Trace

Docker

Istio

Anthos

BigQuery

Cloud Monitoring

Cloud Logging

Cloud Trace

Docker

Istio

Anthos

BigQuery

By the numbers

400+

Engineers worldwide

200+

Active clients

20yr

Pure-play software

94%

Client retention

Engagement models

Three ways to work with our GCP DevOps team.

Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.

01MOST POPULAR

GCP DevOps Pod

A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.

Dedicated engineering squad
Weekly sprint demos
Fixed monthly cadence
Direct technical lead communication

Build with a Pod

02EMBED

Hire GCP DevOps Engineers

Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.

2-week onboarding ramp
Time-zone aligned collaboration
Direct Git & Jira integration
Flexible monthly contracts

Request Talent

03LAUNCH

Turnkey / MVP Build

Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.

Fixed-price & fixed-scope
End-to-end architecture & build
Complete source code ownership
Post-launch warranty & support

Start Your Build

From the Blog

Asked first, every time.

Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.

How does GCP DevOps differ from AWS or Azure DevOps?

GCP offers tightly integrated services — Cloud Build, GKE, Cloud Run, and Cloud Deploy work seamlessly together. GKE is widely considered the best managed Kubernetes service. We help you leverage GCP-native advantages.

Can you migrate our existing CI/CD pipelines to GCP?

Yes. We migrate from Jenkins, GitHub Actions, GitLab CI, or Azure DevOps to Cloud Build — preserving your workflow logic while gaining GCP-native integration and cost benefits.

Do you manage GKE clusters in production?

Yes. Cluster provisioning, node pool management, auto-scaling, security policies, Istio service mesh, and ongoing operations — we handle the full GKE lifecycle.

Can you help optimise our GCP cloud costs?

Yes. Right-sizing, committed-use discounts, preemptible/spot VMs, Cloud Run for bursty workloads, and resource labelling for cost attribution — typically 30-40% savings.

What are the benefits of using Cloud Build CI/CD over third-party tools like GitLab?

Cloud Build CI/CD provides deep, native integration with GCP IAM, completely serverless execution, and seamless deployment to GKE and Cloud Run without managing external runners or complex VPC peering.

How do your GCP DevOps services handle secure secrets management?

We utilize Google Secret Manager natively integrated into deployment pipelines and GKE workloads, ensuring API keys and database credentials are encrypted at rest and never exposed in source code.

Can your Google Cloud DevOps team implement Anthos for multi-cloud deployments?

Yes, our Google Cloud DevOps engineers are highly experienced in deploying Google Anthos, allowing you to centrally manage Kubernetes clusters across GCP, AWS, and on-premise environments.

How do you achieve zero-downtime deployments in GKE Kubernetes services?

We configure GKE Kubernetes services with sophisticated deployment strategies like Rolling Updates, Canary Deployments, and Blue/Green deployments using tools like ArgoCD and Istio traffic splitting.

What infrastructure as code tools do you recommend for GCP automation services?

For GCP automation services, we strongly recommend Terraform due to its declarative syntax and state management, combined with Google's Cloud Foundation Toolkit for enterprise-grade best practices.

Can you integrate Google Cloud Operations (formerly Stackdriver) for comprehensive observability?

Absolutely. We configure Google Cloud Operations to provide centralized logging, distributed tracing, and custom alerting dashboards to maintain full observability across all GCP microservices.

GCP DevOps services for Accelerate deployments on Google Cloud.

Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.

Book a Call

GCP DevOps — CI/CD, GKE & automation.

Hire Google Cloud engineers for GCP DevOps engineers who ship production infrastructure.

GCP-Native Expertise

CI/CD Pipeline Automation

GKE & Containerisation

Case studies.

Samsung

Samsung

AI Platform

AI Platform

CI/CD Automation

GKE Orchestration

Cloud Run

Observability

GCP DevOps Services: Our Proven Process

Assess

Design

Build

Migrate

Operate

Assess

Design

Build

Migrate

Operate

Six places it pays backin the first sprint.

Faster time-to-market

Reduced technical risk

Measurable velocity

Cost predictability

Continuous improvement

Knowledge transfer

Tools our GCP DevOpsDevelopersship with.

GCP DevOps Pod

Hire GCP DevOps Engineers

Turnkey / MVP Build

Further Reading

AI-Augmented Full Stack Workflows 2026: Build 40% Faster

Amazon RDS: Scalable, Secure & Managed Cloud Databases

Automation Scripts & CI/CD: Streamline DevOps Workflows

Asked first, every time.

GCP DevOps services for Accelerate deployments on Google Cloud.

Six places it pays back
in the first sprint.

Tools our GCP DevOps
Developers
ship with.