Compliance-first delivery
Automation that removes toil and release risk
If a release needs a checklist, a specific engineer and a quiet Friday, delivery is the bottleneck. Manual deployments are slow, inconsistent between environments and hard to audit — and every hotfix carries the risk of configuration drift.
We codify the whole path from commit to production: build, test, security scanning, artefact signing and deployment, with infrastructure defined in Terraform and application state reconciled by GitOps tooling such as Argo CD or Flux. Kubernetes clusters are designed for your workload rather than copied from a tutorial, and we keep an eye on the bill using the practices in our Kubernetes cost control guide. Our step-by-step CI/CD pipeline setup guide shows the kind of pipeline we leave behind.
The outcome is a delivery system your team owns: every change version-controlled and peer-reviewed, environments reproducible, and rollbacks a single command. For organisations with several teams, this often grows into a full internal developer platform, backed by SRE and observability so you can see the effect of every deploy.
- CI/CD with automated tests and security gates on every change
- Terraform / Pulumi modules for reproducible environments
- Kubernetes design, upgrades and progressive delivery
- GitOps workflows with a full audit trail of who changed what
- Secrets management and signed, scanned artefacts
What's Included
Everything you need, delivered by a senior, security-first team.
CI/CD Pipelines
GitHub Actions, GitLab CI or Jenkins pipelines that build, test, scan and deploy across environments.
Kubernetes
Cluster design (EKS, AKS, GKE), ingress, autoscaling, upgrades and workload hardening.
Infrastructure as Code
Reusable Terraform modules, remote state, drift detection and policy checks in review.
DevSecOps
SAST, dependency and container scanning, secrets detection and SBOMs wired into the pipeline.
Release Engineering
Blue/green and canary deployments, feature flags and one-step rollbacks.
Runbooks & Handover
Pipeline docs, onboarding guides and pairing sessions so your team can run it without us.
DevOps that makes delivery fast, safe and repeatable
Manual, ticket-driven releases are slow, error-prone and impossible to audit. DevOps automation replaces them with pipelines and infrastructure as code, so every change is built, tested, scanned and deployed the same way every time — and every change can be traced back to a commit and a reviewer.
Signs you need DevOps automation
- Releases need a specific person, a long checklist or a weekend window.
- Staging and production drift apart and “works on my machine” is a regular phrase.
- Infrastructure was created by hand in a console and nobody is sure how to rebuild it.
- Security scanning happens (if at all) just before an audit, not on every change.
- Rollbacks are stressful and slow.
What we build
CI/CD pipelines
Build, unit and integration tests, static analysis, dependency and container scanning, artifact versioning and automated deployment to each environment, using GitHub Actions, GitLab CI, Azure DevOps, Jenkins or your existing tool. Our guide How to Set Up a CI/CD Pipeline That Scales explains the structure we use.
Infrastructure as code
Terraform (or OpenTofu, Pulumi, Bicep or CloudFormation where they fit better) organised into reusable modules, with remote state, plan reviews on pull requests and policy checks before apply.
Containers and Kubernetes
Dockerised workloads on EKS, AKS or GKE, with Helm or Kustomize, autoscaling, resource requests and limits, secrets management and progressive delivery (blue/green or canary). We also tell you honestly when a managed container service or serverless would be simpler — and keep cluster spend sensible, as covered in Kubernetes Without the Runaway Bill.
GitOps
Argo CD or Flux reconcile clusters from Git, so the repository is the source of truth, changes are reviewed, and rollback is a revert.
DevSecOps
SAST, secret detection, software composition analysis, container image scanning and infrastructure-as-code policy checks run inside the pipeline, failing builds on agreed severity thresholds instead of producing reports nobody reads.
Deployment strategies at a glance
| Strategy | How it works | Use when |
|---|---|---|
| Rolling | Replace instances gradually | Stateless services with good health checks |
| Blue/green | Switch traffic between two full environments | Instant rollback is a priority |
| Canary | Send a small share of traffic to the new version first | High-traffic services with good metrics |
| Feature flags | Deploy dark, release by toggle | Decoupling deploy from release |
Common pitfalls
- Automating a broken process instead of simplifying it first.
- One giant pipeline that takes an hour and that everyone learns to ignore.
- Long-lived cloud keys stored in CI — we use OIDC federation and short-lived credentials.
- Terraform state on a laptop, or applied without review.
Deliverables and how it fits together
You receive working pipelines, IaC modules, documentation and runbooks, plus pairing sessions so your engineers own the result. As you grow, these building blocks become the basis of an internal developer platform, and pair naturally with SRE and observability so you can see the effect of every release. If the infrastructure underneath needs work first, start with our cloud infrastructure services.
From Manual Releases to Automated Delivery
Audit
Map the current release path, environments and failure points; agree the target workflow and tooling.
Codify
Move infrastructure to Terraform and build the CI pipeline with tests and security gates.
Automate Deploys
Introduce GitOps, progressive delivery and rollbacks, one service or environment at a time.
Enable
Document, train and pair with your engineers until they own and extend the system.
Frequently Asked Questions
Typically an assessment of your current delivery process, then CI/CD pipelines, infrastructure as code, container or Kubernetes setup where appropriate, security scanning in the pipeline, documentation and hands-on handover to your team.
We work with GitHub Actions, GitLab CI, Azure DevOps and Jenkins for pipelines, and Terraform/OpenTofu, Pulumi, Bicep and CloudFormation for infrastructure as code, plus Argo CD or Flux for GitOps. We usually build on what you already use.
Not always. Kubernetes suits teams running many services that need fine-grained scaling and portability. For a handful of services, managed containers (ECS, Cloud Run, Azure Container Apps) or serverless are often cheaper and simpler. We recommend based on your workload and team.
Pipeline and IaC builds are usually scoped as fixed-price projects after a short assessment. Ongoing improvement or support can be a monthly retainer, and we also embed DevOps engineers with your team through staff augmentation.
Yes. We work incrementally — one service or environment at a time — so delivery keeps running while automation is added.
Book a free consultation. We review how code currently gets to production, then propose a prioritised plan with the quickest, lowest-risk improvements first.
Ready to get started with DevOps & Automation?
Book a free consultation — we'll map a secure, practical path forward.