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Service 04

Cloud infrastructure that lets your software ship and stay up

Reliable software needs infrastructure designed for it. We architect, build, and operate cloud environments on AWS, Azure, and Google Cloud — with the deployment automation, observability, and incident readiness that turn releases from events into routine. We also plan and execute migrations for teams moving out of data centers or between providers.

Problems this solves

When to bring this to us

  • Deployments are manual, risky, and scheduled around the one person who knows the process
  • Cloud costs are rising and nobody can say precisely why
  • Outages are discovered by customers before they are discovered by monitoring
  • Environments drift because infrastructure exists only as console configuration
  • A migration to the cloud has been discussed for years and never planned
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Cloud & DevOps — schematic

Capabilities

What the work covers

  • Cloud architecture on AWS, Azure, and Google Cloud
  • CI/CD pipeline design and build
  • Containers and Kubernetes
  • Infrastructure as code
  • Observability, monitoring, and alerting
  • Incident readiness and runbooks
  • Platform reliability engineering
  • Cloud cost review and control
  • Cloud migration planning and execution
  • Managed cloud support

Typical deliverables

What you receive

  1. 01A documented cloud architecture matched to your workloads
  2. 02Version-controlled infrastructure as code
  3. 03Automated build, test, and deployment pipelines
  4. 04Monitoring dashboards and actionable alerting
  5. 05Incident runbooks and escalation procedures
  6. 06A migration plan with rollback points, where relevant

Technical approach

How we think about this work

Everything in code

Environments are defined in version-controlled infrastructure code. Rebuilding an environment is a pipeline run, not an archaeology project, and every change has an author and a review.

Reliability as a budget

We agree explicit availability targets and design to them. That keeps engineering effort proportionate — a back-office tool and a customer-facing platform should not carry the same operational cost.

Boring deployments

The measure of a good pipeline is that releases stop being interesting. Small changes, automated checks, fast rollback — shipped on a Tuesday afternoon without a war room.

Process

Delivery in five phases

Each phase ends with something written down or something working.

  1. 01

    Discovery and technical assessment

  2. 02

    Solution architecture and phased plan

  3. 03

    Build in short, reviewable cycles

  4. 04

    Testing and staged deployment

  5. 05

    Monitoring, support, or handover

Context

Where this service fits

Related industries

Related services

FAQ

Common questions

The one that fits your workloads, your team's experience, and your commercial constraints. We are comfortable on AWS, Azure, and Google Cloud, and we will give you a straight comparison for your specific case rather than a default answer.

Planning cloud & devops work?

Tell us what you are trying to build, improve, or modernize — we will suggest the shortest credible path.

Discuss Your Project