Cloud & DevOps

Infrastructure you don't have to think about.

Deployment, monitoring, and scalable architecture that make releases routine and outages visible.

The problem

When shipping becomes the bottleneck

Teams rarely slow down because the code is hard. They slow down because deploying is risky, environments differ, and nobody is confident about what will happen at 2am. Good infrastructure is mostly about making the routine boring and the exceptional visible.

  • Deployments are manual, nerve-racking, and therefore rare.

  • You find out about downtime from a customer rather than an alert.

  • Cloud spend keeps rising and nobody can explain which service is responsible.

  • The application slows under load and there is no data showing where.

Scope

What we can build

  • Deployment pipelines

    Automated build, test and release, so shipping is a routine action rather than an event requiring a calendar invite.

  • Cloud infrastructure

    Environments provisioned as code, so staging genuinely resembles production and rebuilding is repeatable.

  • Monitoring and alerting

    Uptime, errors, and performance tracked, with alerts that fire on real problems rather than noise.

  • Performance and cost optimisation

    Find what is slow and what is expensive, then fix the causes with measurements to show the difference.

  • Backups and recovery

    Backups that are actually tested, and a restore procedure someone has rehearsed before it is needed.

Capabilities

Key capabilities

  • CI/CD pipeline setup
  • Infrastructure as code
  • Containerisation where it is warranted
  • Zero-downtime and staged deployments
  • Log aggregation and tracing
  • Autoscaling and load handling
  • Secrets management
  • Backup, restore and disaster recovery

Stack

Technology

Platforms

  • Vercel
  • AWS
  • Managed cloud

Pipelines

  • GitHub Actions
  • CI/CD
  • Automated testing

Runtime

  • Docker
  • Serverless
  • Edge

Observability

  • Monitoring
  • Logging
  • Alerting

Process

How we approach infrastructure

  1. Audit what exists

    We review the current setup, deployment process, and spend, then identify the risks that would hurt most if they materialised.

  2. Automate the release path

    Getting deployment automated and reversible comes first, because it makes every subsequent change safer to attempt.

  3. Make the system observable

    Monitoring and alerting go in before optimisation. You cannot improve what you cannot see.

  4. Right-size the infrastructure

    Capacity and services are matched to real traffic, which often reduces cost rather than increasing it.

  5. Document and hand over

    Runbooks and architecture notes are written so your team is not dependent on us to operate the system.

FAQs

Common questions

Deployment causing problems?

Tell us how your application is hosted and released today. We'll identify what's worth fixing first.