Cloud engineering

Cloud & DevOps Services

Releases that take an afternoon and a held breath are a business problem, not just an engineering one. We build infrastructure you can deploy to on any weekday morning, and observability that tells you about a problem before your customers do.

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AWS Azure Google Cloud Terraform Docker Kubernetes GitHub Actions GitLab CI

Cloud spending has a habit of growing while confidence in deployment shrinks. Usually the cause is the same: infrastructure that was set up by hand, is understood by one person, and has no automated path from a commit to production.

We codify infrastructure, automate the release path, and instrument what matters. The outcome is measurable: shorter lead time from commit to production, fewer failed releases, faster recovery, and a monthly cloud bill that reflects what you actually use.

Capabilities

What Cloud & DevOps Services covers

Infrastructure that deploys on demand and sleeps through the night.

Cloud migration

On-premise and legacy hosting moved to AWS, Azure or Google Cloud with a phased plan, a rollback path and no unplanned downtime.

CI/CD pipelines

Automated build, test, security scan and deploy pipelines with staged environments, approvals and one-command rollback.

Infrastructure as code

Terraform and CloudFormation definitions so environments are reproducible, reviewable and never again configured by hand.

Containers & Kubernetes

Docker packaging, ECS or EKS orchestration, autoscaling policies and sane resource limits sized to real load patterns.

Observability

Centralised logs, metrics, traces and alerting on user-facing symptoms rather than on noisy machine-level thresholds.

Cloud cost optimisation

Right-sizing, reserved and spot capacity, storage lifecycle policies and idle resource elimination — typically a 25 to 45 percent reduction.

Why it works

What you get that you might not expect.

These are the commitments clients tell us mattered most once the project was underway.

Deploy without ceremony

From a release event that needs a weekend to a routine action any engineer on the team can perform safely.

Recovery you have rehearsed

Documented, tested backup and restore procedures with a stated recovery objective — not an untested assumption.

Security built into the pipeline

Secrets management, least-privilege IAM, dependency and image scanning on every build.

No lock-in to us

Everything is in your cloud account, in your repositories, documented well enough for your own team to run it.

How we deliver

Our cloud & devops process

Every stage produces something you can look at, use or disagree with. Nothing is invisible until the end.

  1. 1

    Assessment

    Current architecture, deployment process, cost breakdown, security posture and the risks ranked by likely impact.

  2. 2

    Target architecture

    A designed end state with a migration sequence, cost projection and a rollback plan for each step.

  3. 3

    Automate

    Infrastructure as code and pipelines built and proven in a staging environment before anything touches production.

  4. 4

    Migrate

    Phased cutover with parallel running and validation at each stage, scheduled around your quiet hours.

  5. 5

    Operate or hand over

    Managed operations with agreed response times, or a documented handover and training for your internal team.

Technologies we use for this

Chosen per project rather than by house policy. We will explain the trade-off in plain terms before anything is decided.

AWS Azure Google Cloud Terraform Docker Kubernetes GitHub Actions GitLab CI Prometheus Grafana Datadog

Questions

Cloud & DevOps Services — your questions

Not covered here?

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AWS has the broadest service range and the deepest talent pool. Azure usually wins where Microsoft licensing, Active Directory or Dynamics are already in place. Google Cloud is strong for data and machine learning workloads. We recommend based on your workload and existing agreements, not on a partnership incentive.

For most applications we achieve a cutover with no downtime using parallel running and DNS switching. Where a brief window is unavoidable — usually a large database cutover — we schedule and rehearse it, and it is typically measured in minutes.

Almost always. Typical first-pass savings are 25 to 45 percent from right-sizing, storage lifecycle policies, removing idle resources and buying appropriate committed capacity. We show the numbers before making changes.

Yes — monthly retainers covering monitoring, patching, releases, incident response and capacity planning, with defined response times and a named engineer.

Often not. Kubernetes is worth its operational overhead at a certain scale and team size; below that, managed container services or plain autoscaled instances are cheaper and calmer. We will say so rather than sell complexity.

Often combined with

Services that pair with Cloud & DevOps

Custom Software Development

Systems built around how your business actually works.

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Maintenance & Support

Someone accountable when it breaks at 3am.

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QA & Software Testing

Find it before your customers do.

Explore

Thinking about cloud & devops services?

Tell us the problem. You will get a rough cost, a rough timeline and an honest view on whether it is worth building — before anyone talks about a contract.

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