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CI/CD and GitOps Header Image

CI/CD: The Developer’s Superhighway

What is CI/CD?

CI/CD stands for Continuous Integration and Continuous Delivery (or Deployment). It’s the practice of automatically building, testing, and delivering code whenever changes are made. Instead of manually bundling code, testing it in one-off environments, and handing it off to operations, CI/CD creates a smooth, automated pipeline from developer commit → running service.

Think of it as a conveyor belt for software:

CI/CD Pipeline: The Developer's Conveyor Belt

DeveloperCommitCIBuild & TestPackage RegistryDevelopmentStagingProductionRollback

Each stage validates and deploys code automatically • Rollbacks provide safety nets • Continuous flow = faster delivery

  • Continuous Integration (CI): Every change is integrated early and tested automatically.
  • Continuous Delivery (CD): The code is always in a deployable state, ready to ship.
  • Continuous Deployment (CD++): With enough confidence, deployments can even be fully automated.

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Where does the code go?

A pipeline doesn't just stop at compiling and testing — it delivers code into environments where it can run. Each environment serves a specific purpose with its own guardrails and validation gates. The pipeline defines when and how code moves between them, ensuring quality and safety at every step.

Code Journey: From Commit to Production

Each environment serves a specific purpose with its own guardrails and validation

DevelopmentLocal & Shared• Unit Tests• Linting• Basic IntegrationStagingQA & Testing• E2E Tests• Performance Tests• Security ScansProductionLive Users• Monitoring• Alerts• RollbacksEphemeralOn-Demand• PR Previews• Feature Testing• Auto-CleanupFast feedbackAlways availableProduction-likeManual approvalHigh availabilityZero downtimeAuto-provisionedCost-effectiveEphemeral Environments: The Game ChangerOn-demand: Created automatically for each PR or feature branchIsolated: Full environment with its own database, services, and configCost-effective: Automatically destroyed after use, no idle costsFaster feedback: Test changes in production-like environment before merge

Each environment has specific validation gates • Ephemeral environments enable faster, safer development • On-demand environments = better collaboration

Traditional Environment Flow

The classic three-tier approach moves code through Development → Staging → Production, with each environment serving a specific purpose:

  • Development: Where developers work and test locally or on shared infrastructure
  • Staging: Production-like environment for QA, integration testing, and final validation
  • Production: The live environment serving real users with high availability requirements

The Ephemeral Environment Revolution

Ephemeral environments are changing the game by providing on-demand, isolated environments that are created automatically and destroyed when no longer needed. Think of them as temporary staging environments that spin up for each pull request or feature branch.

Why Ephemeral Environments Matter

  • Faster feedback: Test changes in a production-like environment before merging to main
  • Better collaboration: Share working demos with stakeholders without affecting shared environments
  • Cost efficiency: No idle environments consuming resources when not in use
  • Reduced conflicts: Each developer gets their own isolated environment
  • Safer experimentation: Test risky changes without impacting team workflows

Modern CI/CD pipelines can automatically provision ephemeral environments for each pull request, run the full test suite, and provide a live URL for stakeholders to review changes. When the PR is merged or closed, the environment is automatically destroyed, keeping costs low and infrastructure clean.

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Rollbacks and Safety Nets

Even with the best pipelines, not every deployment goes as planned. That's where rollbacks come in — the ability to quickly revert to a previous stable version. Rollbacks act as a safety net, ensuring that teams can release frequently without the fear of irreversibly breaking production. Here are the key techniques that make recovery fast, predictable, and painless:

Blue/Green Deployments

Maintain two identical production environments: "Blue" (current) and "Green" (new). Deploy to Green, test thoroughly, then switch traffic instantly. If issues arise, flip back to Blue immediately.

Best for: Zero-downtime deployments, critical applications

Canary Releases

Gradually roll out new versions to a small percentage of users first. Monitor metrics and user feedback. If everything looks good, increase the percentage; if not, roll back quickly.

Best for: Risk mitigation, gradual feature rollouts

Rolling Deployments

Update instances one at a time, ensuring the service remains available throughout. If a new instance fails, the old ones continue serving traffic while you investigate.

Best for: Stateless applications, Kubernetes deployments

Feature Flags

Deploy code with features disabled by default. Toggle features on/off without redeploying. Instantly disable problematic features while keeping the deployment intact.

Best for: A/B testing, instant feature rollbacks

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Why is CI/CD important?

Without it, shipping software feels like building a car by hand each time — error-prone, slow, and exhausting. CI/CD transforms that process into an assembly line: predictable, fast, and scalable.

For platform engineering, CI/CD is critical because:

  • Developer velocity: Teams can push changes daily instead of monthly.
  • Quality assurance: Automated tests catch issues before production.
  • Standardization: Pipelines create “golden paths” so every service follows consistent guardrails.
  • Collaboration: Developers, QA, and ops align on the same automated process.
  • Confidence: Teams can move fast without fearing broken releases.

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GitOps: Bringing CI/CD Under Version Control

If CI/CD pipelines are the superhighway, GitOps is the traffic controller. GitOps is the practice of managing not just your application code but also your infrastructure definitions in Git. Instead of clicking buttons in a console or manually tweaking YAML, you declare the desired state of your system in Git, and automation ensures your environments stay in sync. This makes everything auditable, versioned, and recoverable — not just your code, but also your infrastructure.

The GitOps Workflow

1

Application Code → Git → CI → Image Repository

Code changes trigger automated builds and tests

2

Infrastructure Definition → Git → CD → Cluster

Infrastructure changes are versioned and deployed automatically

Declarative Configuration

Define what you want your system to look like, not how to get there. GitOps tools automatically reconcile the actual state with your desired state.

Benefits: Predictable, auditable, self-healing

Git as Single Source of Truth

All infrastructure and application configurations live in Git. This provides version control, collaboration, and a complete audit trail for every change.

Benefits: Versioned, collaborative, traceable

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Ready to implement GitOps with ArgoCD?

StarOps makes it easy to add ArgoCD to any new or existing Kubernetes cluster. With one-shot prompts and automated setup, you can start your GitOps journey in minutes, not hours. Experience the power of declarative infrastructure management.

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