Cloud & DevOps

Cloud & DevOps services

We set up and run the cloud infrastructure and delivery pipelines that let your team ship daily with confidence, and keep the bill under control.

All services
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Terraform
  • Docker
  • Kubernetes

Overview

Cloud & DevOps, explained.

Cloud and DevOps services cover how software is hosted, deployed, monitored and secured. Good DevOps turns releases from stressful events into routine, automated steps, and gives you early warning before customers notice a problem.

We build on AWS, Microsoft Azure and Google Cloud using infrastructure as code, so every environment is reproducible, reviewed and documented. We favour managed and on-demand services that cost little when idle and scale when traffic arrives.

AI workloads add new needs, such as GPU or model-API costs, data pipelines and model deployment, and we design cloud setups that handle them alongside your normal applications.

We also make operations visible to the business: clear dashboards for uptime and spend, documented runbooks for common incidents, and regular reviews that turn each incident into a permanent fix rather than repeated firefighting.

What we deliver

Cloud & DevOps services we deliver.

  • Cloud architecture & migration

    Design new cloud setups or move existing systems to AWS, Azure or Google Cloud with minimal downtime.

  • Infrastructure as code

    Terraform or CloudFormation definitions so environments are versioned, reviewed and repeatable.

  • CI/CD pipelines

    Automated build, test and deployment pipelines with preview environments and safe rollbacks.

  • Monitoring & alerting

    Logs, metrics, uptime checks and alerts that tell you what broke and why, before customers do.

  • Security & compliance

    Least-privilege access, secrets management, backups, patching and security reviews.

  • Cost optimisation

    Right-sizing, serverless where it fits and budget alerts that keep cloud spend predictable.

Use cases

Where it creates real value.

  • SaaS companies

    Zero-downtime deployments, staging environments per feature and automated database migrations.

  • Startups

    A lean, serverless setup that costs almost nothing at launch and scales without re-architecture.

  • AI products

    Model APIs, background workers and data pipelines with usage tracking and spend limits.

  • Established businesses

    Migration of on-premise applications to the cloud with improved backups and disaster recovery.

How we deliver

A clear path from idea to launch.

  1. Assess

    We review your current hosting, deployments, incidents, security posture and cloud bill.

  2. Design the target

    A target architecture and migration plan, prioritised by risk reduction and cost impact.

  3. Automate

    Infrastructure as code, CI/CD and monitoring are rolled out environment by environment.

  4. Operate & improve

    Ongoing operations, on-call support options and monthly reviews of reliability and cost.

What you receive

  • Cloud architecture diagram and migration plan
  • Infrastructure-as-code repository
  • CI/CD pipelines with one-click rollback
  • Dashboards, alerts and incident runbooks
  • Monthly cost and reliability report

Technology

Tools we build with.

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Terraform
  • Docker
  • Kubernetes
  • GitHub Actions
  • Serverless
  • DynamoDB
  • PostgreSQL
  • Monitoring

Least-privilege by default

For Fairly’s share-link backend we designed separate functions by what each is allowed to do: the public reader can only read, and nothing reachable from the internet can delete data. It is built for fully on-demand infrastructure, so an idle month costs nothing.

See our products

Cloud & DevOps FAQ

Common questions.

Answers to what clients ask most about our cloud & devops services.

DevOps services typically include CI/CD pipelines for automated testing and deployment, infrastructure as code, monitoring and alerting, security hardening, backups and incident response, all aimed at shipping changes faster and more safely.

We work with Amazon Web Services, Microsoft Azure and Google Cloud, and choose based on your existing tools, team skills, data residency and cost.

Often, yes. Common savings come from right-sizing servers, moving spiky workloads to serverless or on-demand services, cleaning up unused resources and adding budget alerts.

Yes. We can run your infrastructure on an ongoing basis with monitoring, patching, backups and regular cost and reliability reviews.

Yes. We set up model API access, background workers, vector databases, data pipelines and GPU resources where needed, with usage tracking and spend limits so AI costs stay visible and under control.

We apply least-privilege access, keep secrets in managed vaults, encrypt data in transit and at rest, automate backups and patching, and review access regularly, so security is part of the setup rather than an afterthought.

Related

Related services

Let’s talk

Let’s make your idea bloom.

Tell us what you’re building. We’ll get back to you with clear next steps.