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Service 05

DevOps, automation and infrastructure as code

Manual infrastructure and deployment work slows delivery and increases operational risk. We help teams standardise CI/CD, automate common tasks, define infrastructure as code, and adopt delivery practices that improve reliability and speed.

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When this helps

Common signals that this service is needed

Useful for DevOps maturity reviews, CI/CD redesign, IaC starter frameworks, Kubernetes deployment workflow reviews, and automation backlog planning.

Deployments depend on manual steps, tribal knowledge, or fragile approvals
Infrastructure changes are not repeatable, reviewed, or version-controlled
CI/CD exists but differs between teams, environments, or applications
Kubernetes, containers, and cloud deployments lack clear standards
Engineering wants more speed but leadership needs stronger governance

Ideal for

  • Teams still relying on manual deployments or undocumented infrastructure changes
  • Businesses moving from traditional operations to platform engineering
  • Organisations that need repeatable infrastructure, application, or cloud deployments
  • Engineering leaders wanting better governance without slowing teams down

What this covers

Detailed capability areas

We can shape the engagement as advisory, assessment, roadmap, implementation guidance, or retained support depending on business need.

CI/CD pipeline design and improvement across GitLab, GitHub Actions, Azure DevOps, and Jenkins
Infrastructure as Code with Terraform, Ansible, CloudFormation, ARM/Bicep, PowerShell, Python, and Bash
Release governance, environment strategy, approvals, secrets, and deployment controls
Container build, registry, and Kubernetes deployment workflows
Operational automation, self-service workflows, and runbook development
GitOps readiness and platform engineering maturity improvement

Typical engagements

  • DevOps maturity assessment
  • CI/CD pipeline design and implementation advisory
  • Infrastructure as Code starter framework
  • Automation backlog and quick wins workshop
  • Kubernetes deployment workflow review

Deliverables

  • Pipeline architecture and templates
  • IaC module and repository structure recommendations
  • Secrets and release governance model
  • Automation backlog and prioritised roadmap
  • Operational runbooks and handover notes

Technologies and domains

GitLab CI/CDGitHub ActionsAzure DevOpsJenkinsTerraformAnsibleCloudFormationBicepPowerShellPythonBashDockerKubernetesHelmArgoCD

Assessment focus

What we inspect before the recommendation

Our goal is to make the current state visible enough to support confident decisions, practical sequencing, and implementation-ready work.

01 Focus area

Source control, branching, release flow, approvals, secrets, and environment strategy

02 Focus area

CI/CD pipelines, build artifacts, promotion, rollback, and testing gates

03 Focus area

Infrastructure as Code modules, state, drift, policy, and review processes

04 Focus area

Container build, registry, Kubernetes, Helm, GitOps, and deployment patterns

05 Focus area

Observability, incident response, runbooks, ownership, and delivery metrics

Engagement path

A practical route from uncertainty to execution

We keep assessments, roadmaps, and delivery models connected so recommendations can actually be implemented.

01

Inspect

Map the current delivery path from code to production, including approvals and failure points.

02

Standardise

Define repeatable pipeline, IaC, secrets, environment, and release patterns.

03

Automate

Prioritise automation that reduces risk, repetition, and deployment uncertainty.

04

Handover

Create templates, runbooks, governance notes, and support expectations for teams.

Decision support

Questions this engagement should answer

We design the service to create answers leadership can use and technical teams can turn into implementation work.

Where does delivery slow down or fail most often?
Which manual steps should be automated first?
How should environments, secrets, approvals, and rollback be governed?
What should become a reusable platform pattern?
How do we improve delivery without weakening operational control?