GCP DevOps & Automation
GCP DevOps services including CI/CD pipelines, infrastructure automation, container orchestration, and GitOps workflows on Google Cloud Platform.
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Why Choose MicrocosmWorks for DevOps on GCP?
Effective DevOps on Google Cloud Platform requires expertise across Cloud Build, GKE, Artifact Registry, and Infrastructure as Code tooling. Our DevOps engineers design and implement automation that accelerates your release cycle from weeks to hours while maintaining production reliability. We build CI/CD pipelines, container platforms, and GitOps workflows that make deployments boring — in the best possible way.
Our GCP DevOps & Automation Capabilities
- CI/CD Pipeline Design — Build end-to-end pipelines with Cloud Build, including automated testing, security scanning, and progressive deployment strategies.
- GKE Operations — Configure and operate Google Kubernetes Engine clusters with auto-scaling, pod security policies, and service mesh integration.
- GitOps Workflows — Implement Config Sync and Argo CD for declarative infrastructure management where Git is the single source of truth.
- Infrastructure as Code — Define GCP infrastructure with Terraform modules, implement policy-as-code with OPA, and manage state securely.
- Container Strategy — Design container build pipelines, optimize images, implement vulnerability scanning, and manage Artifact Registry.
- Serverless Automation — Build event-driven automation with Cloud Functions, Cloud Run, and Eventarc for operational tasks and integrations.
- Release Engineering — Implement canary deployments, blue-green releases, and feature flags for safe, controlled rollouts.
GCP-Specific Technology Stack
Our DevOps implementations leverage Cloud Build for CI/CD, GKE for container orchestration, Artifact Registry for image management, Cloud Deploy for managed delivery, Config Sync for GitOps, and Cloud Monitoring for deployment observability — creating a fully automated software delivery platform native to Google Cloud.
Who This Is For
This service is for engineering teams that want to ship faster without sacrificing reliability — organizations moving from manual deployments to full automation, teams adopting Kubernetes and needing operational expertise, or companies standardizing their release process across multiple services. If your deployment process involves manual steps, fear, or late nights, our DevOps services eliminate those problems.
Our Process
Discovery
Assess current deployment workflows, identify bottlenecks, evaluate tooling maturity, and define automation goals.
Architecture
Design CI/CD pipeline architecture, container platform strategy, GitOps workflow, and observability integration.
Implementation
Build Cloud Build pipelines, configure GKE clusters, deploy GitOps tooling, and establish deployment automation.
Optimization
Reduce build times, optimize container images, implement caching, and fine-tune autoscaling policies.
Operations
Train teams on new workflows, document runbooks, establish on-call procedures, and provide ongoing DevOps support.
Technology Stack
CI/CD
Container Platform
IaC & Config
Observability
Industries We Serve
Ready to Automate Your GCP Deployments?
Let us build CI/CD pipelines and DevOps automation that accelerate your release cycle while maintaining production reliability.
Frequently Asked Questions
MicrocosmWorks implements Cloud Build for CI/CD, Artifact Registry for container and package management, Cloud Deploy for GKE deployments, Terraform for infrastructure-as-code, and Cloud Monitoring with SLO-based alerting for production reliability.
GCP DevOps automation services are available at $20-$40/hour, with typical CI/CD pipeline and IaC implementation engagements taking 2-6 weeks depending on the number of services and deployment environments.
Yes, MicrocosmWorks configures GitOps workflows for GKE using Config Sync or ArgoCD, where Kubernetes manifests and Helm charts in Git repositories automatically reconcile with your clusters for declarative, auditable infrastructure management.
Absolutely. We configure Cloud Build with multi-step pipelines including unit tests, integration tests, container scanning with Artifact Registry vulnerability scanning, and automated deployment to GKE or Cloud Run with approval gates.
We implement IaC using Terraform with GCP provider modules, organized into reusable components with remote state in Cloud Storage, Workload Identity Federation for keyless auth, and deployment automation through Cloud Build triggers for infrastructure changes.