DevOps & CI/CD
Deploy with confidence.Recover without drama.
A deployment should be a routine event. We build the pipeline, the test automation, the monitoring and the rollback strategy — so every release is an exercise your team has run a hundred times before, not a calculated risk.
What we provide
Repeatable, observable deployments your team controls without calling us.
- CI/CD pipeline design and implementation — Azure DevOps and GitHub Actions
- Infrastructure as Code — Bicep and Terraform
- Containerisation with Docker
- Kubernetes deployment — AKS and Azure Container Apps
- Automated test integration — unit, integration, E2E
- Environment promotion with approval gates (dev → staging → prod)
- Secrets management with Azure Key Vault
- Deployment strategies — blue/green, canary, rolling, feature flags
- Container security scanning — Trivy, Defender for Containers
Why Theerrv
Azure DevOps and GitHub Actions
We work in both environments — choosing based on your existing toolchain rather than our preference. The pipeline should fit into how you already work.
Infrastructure as code by default
Environments are defined in Bicep or Terraform, committed alongside application code, and deployed by the same pipeline. Nothing is created by hand and left undocumented.
Rollback before go-live
We define and test the rollback procedure as part of go-live planning — not as a contingency plan written on the day something goes wrong.
Our approach
Discovery → Architecture → Development → Testing → Deployment → Support
Pipeline audit or design
Map the current deployment process — or design the first one — including environment topology, test strategy, secret management and rollback procedure.
Continuous Integration
Build, lint, typecheck, test and security-scan on every push. Feedback in under ten minutes so developers know immediately when something breaks.
Continuous Deployment
Automated promotion to staging on merge to main. Production deployment requires a human approval. Infrastructure changes planned and reviewed before apply.
Containerisation
Application containerised with Docker, image built and scanned by the pipeline, pushed to Azure Container Registry with immutable tags.
Monitoring and deployment markers
Deployment events sent to Application Insights, dashboards showing error rate and latency per release, alerts tuned before production exposure.
Rollback and on-call
Rollback procedure documented and tested before first production deployment. On-call runbooks written and escalation paths agreed.
Technologies
The stack we use to deliver devops & ci/cd — chosen for longevity and maintainability, not trend.
- Azure DevOps Pipelines
- GitHub Actions
- Docker
- Azure Container Registry
- Azure Kubernetes Service
- Azure Container Apps
- Bicep / Terraform
- Azure Key Vault
- Trivy
- Helm
Industries & use cases
SaaS and Product Companies
- Multi-environment CI/CD with feature branch deployments
- Zero-downtime deployment strategies
- Automated dependency update pipelines
Enterprise Development Teams
- Pipeline standardisation across multiple projects
- Compliance gates — security scanning, approval trails
- Onboarding new applications to existing DevOps toolchain
Startups Building on Azure
- First CI/CD pipeline from scratch
- Environment separation and secrets management
- Containerisation and cloud-native deployment
Legacy Teams Modernising
- Replacing manual FTP/RDP deployments with pipelines
- Adding automated tests to existing codebases
- Moving from on-premises build servers to cloud CI
Common questions
We deploy manually today. How do we get started with CI/CD?
We start by documenting exactly what your current manual deployment does — every step, every file, every server touch. Then we automate those steps in a pipeline, running them against a staging environment first. The first pipeline usually mirrors the manual process exactly, and we improve it from there. No big-bang change: the old process keeps working until the new one has been trusted for a sufficient number of deployments.
Should we use Azure DevOps or GitHub Actions?
If your code is already on GitHub and the team is comfortable with YAML workflows, GitHub Actions is the natural choice. If you are on Azure DevOps Repos, or if you need the tighter integration with Azure Boards and Test Plans, Azure DevOps Pipelines fits better. Both are capable of the same outcomes. We have built on both and will recommend based on your existing toolchain, not on a preference.
What is the difference between blue/green and canary deployments?
Blue/green runs two identical environments in parallel — live traffic switches to the new version atomically, and the old version is available for instant rollback. Canary routes a small percentage of real traffic to the new version first, validates it under production load, then progressively shifts more traffic over. Blue/green is simpler and gives cleaner rollback. Canary is safer when the change is high-risk and the rollback window is short.
How do you handle database migrations in a CI/CD pipeline?
Database migrations are applied in the pipeline before the application deployment, using a migration tool compatible with your stack (EF Core Migrations, Flyway, or Liquibase). We use backward-compatible migration patterns — adding columns before removing old ones, never renaming in a single step — so the current application version can run against both the old and new schema during the rollout window. Rollback scripts are prepared alongside every forward migration.
Related services
Start here
Tell us what theoperation is costing you.
A first conversation is a conversation, not a pitch. Describe how the work runs today and we will tell you plainly whether software is the right answer — and what it would take.
Or reach us directly at info@theerrv.com