ipfour
Cloud ServicesDevOps and CI/CDCI/CD Pipeline Design
CI/CD Pipeline Design

Ship code daily. Break nothing.

Automated build, test, and deployment pipelines using GitHub Actions, Azure DevOps, or AWS CodePipeline. We design pipelines that give your team the confidence to deploy multiple times a day.

GitHub Actions
Azure DevOps
AWS CodePipeline
Zero Manual Deployments
10x
Faster release cadence
100%
Automated deployments
90s
Average rollback time
0
Manual production changes
What Is Included

Every pipeline component. Fully automated.

From source control trigger to production deployment, every stage designed, built, and maintained by our DevOps engineers.

Pipeline Architecture Design

End-to-end pipeline blueprints covering source control triggers, build stages, automated testing gates, and deployment targets. Designed for your stack and release cadence.

Pipeline BlueprintsBuild StagesDeployment Targets

GitHub Actions Workflows

Reusable workflow templates for build, test, and deploy. Matrix builds for multi-environment testing, secrets management via GitHub Secrets, and OIDC-based cloud authentication.

GitHub ActionsReusable WorkflowsOIDC Auth

Azure DevOps Pipelines

YAML-based pipelines in Azure DevOps with stage gates, approval workflows, and environment-specific variable groups. Integrated with Azure Repos, Boards, and Artifacts.

Azure DevOpsYAML PipelinesStage Gates

AWS CodePipeline and CodeBuild

Native AWS CI/CD using CodePipeline, CodeBuild, and CodeDeploy. Integrated with ECR for container images and S3 for artefact storage. IAM roles scoped per pipeline stage.

CodePipelineCodeBuildCodeDeploy

Automated Testing Gates

Unit, integration, and end-to-end test stages built into every pipeline. Quality gates that block deployments on test failure. Coverage thresholds enforced automatically.

Test AutomationQuality GatesCoverage Thresholds

Rollback and Recovery

Automated rollback triggers on deployment failure. Blue-green and canary deployment strategies to reduce blast radius. Deployment history retained for instant revert.

Automated RollbackBlue-GreenCanary Deployments
How We Work

From manual deployments to full automation in six steps.

A structured approach that gets your pipeline live quickly and keeps it reliable long term.

01

Pipeline Audit

Review of your current deployment process, toolchain, and release frequency. Bottlenecks and manual steps identified and documented.

02

Pipeline Design

Target pipeline architecture designed for your stack. Stages, gates, environments, and branching strategy agreed before any implementation begins.

03

Build Stage Setup

Source control triggers, build agents, dependency caching, and artefact publishing configured. Build times optimised from the start.

04

Test Automation Integration

Existing test suites wired into the pipeline. New test stages added where gaps exist. Quality gates configured to block on failure.

05

Deployment Stage Configuration

Environment-specific deployment stages configured with approval gates for production. Secrets and environment variables managed securely.

06

Monitoring and Handover

Pipeline observability configured. Team trained on workflow management. Runbooks provided for common pipeline operations and incident response.

Real Results

CI/CD pipelines delivered for UK businesses.

Software Agency, London

A software agency was deploying client projects manually via FTP and SSH. Deployments took half a day, required senior engineer involvement, and frequently caused production incidents.

GitHub Actions pipelines implemented for all client projects. Deployment time reduced from 4 hours to 8 minutes. Zero production incidents in the first 6 months post-implementation.

SaaS Platform, Bristol

A SaaS company had a CI pipeline but no CD. Releases were batched monthly because the deployment process was too risky to run frequently.

Full CI/CD pipeline with blue-green deployments implemented on Azure DevOps. Release cadence increased from monthly to daily. Rollback time reduced from 2 hours to 90 seconds.

E-Commerce Business, Manchester

An online retailer needed to deploy hotfixes during peak trading periods without risking a full release. Their existing pipeline had no canary or staged rollout capability.

Canary deployment strategy implemented on AWS CodePipeline. Hotfixes now deployed to 5 percent of traffic first, with automatic promotion on success. Zero trading downtime since go-live.

Ready to Automate?

Still deploying manually? We can fix that in weeks.

Our free pipeline review looks at your current deployment process, identifies the biggest risks and bottlenecks, and gives you a clear roadmap to full CI/CD automation.