DevOps & Cloud

DevOps & Cloud Engineering That Lets You Ship With Confidence

Slow, manual releases and fragile infrastructure cost your team time every week. We automate how your software is built, tested and deployed, and set up cloud infrastructure that scales with your traffic instead of your on-call stress.

Book a Discovery CallRequest an infrastructure audit
main · deploy #4822m 14s
  1. Commitfeature/payouts → main
  2. BuildDocker image · 48s
  3. Test214 passed · 0 failed
  4. DeployRolling update · 0 downtime
  5. ObserveAlerts armed · dashboards live
Before and after

Where teams usually are, and where we get them

Before
After
Releases happen by SSH-ing into a server on a Friday evening.
Every merge to main deploys itself, with a one-click rollback.
One environment. Testing means testing in production.
Separate staging and production with their own data and DNS.
Infrastructure lives in someone's memory and the AWS console.
Everything defined in Terraform or CDK, reviewed in pull requests.
You find out about outages from customers.
Alerts reach you before users notice; dashboards show what changed.
The cloud bill grows every month and nobody knows why.
Right-sized resources, reserved capacity, idle services cleaned up.
What we do

Four things every production system needs

01

Pipelines

  • CI on every commit
  • Automated tests as a gate
  • Zero-downtime deploys
  • Preview environments
  • One-click rollbacks
02

Infrastructure

  • Terraform or AWS CDK
  • Staging and production parity
  • Secrets management
  • DNS, TLS and load balancing
  • Container platforms
03

Reliability

  • Logging and metrics
  • Alerting that reaches a person
  • Autoscaling
  • Backups and restore drills
  • Runbooks your team can follow
04

Cost

  • Right-sizing audit
  • Reserved and spot capacity
  • Idle resource cleanup
  • Managed services where cheaper
  • Monthly cost visibility
Detailed services

From a single pipeline to a full platform

  1. CI/CD pipelines

    Automated build, test and deploy pipelines so every change ships the same reliable way, with zero-downtime releases and easy rollbacks.

  2. Containers & Kubernetes

    Containerizing applications with Docker and running them on Kubernetes or managed container services, sized for your real workload.

  3. Infrastructure as code

    Your cloud defined in Terraform or AWS CDK, versioned and reviewable, so environments are reproducible and nothing depends on one person's memory.

  4. Cloud setup & migration

    New AWS, Google Cloud or Azure environments built to best practice, or migrations from shared hosting and on-premise servers with minimal downtime.

  5. Monitoring & reliability

    Logging, metrics, alerting and autoscaling so you hear about problems before your users do.

  6. Cloud cost optimization

    Right-sizing, reserved capacity and cleanup of idle resources to bring an inflated cloud bill back in line.

Proof

DevOps & Cloud work we've shipped

All case studies
Climate techAustralia

A serverless commute-emissions platform with rideshare, audit-grade exports, a portal and a mobile app, taken from first milestone to production-ready

AWS CDK across 18 DynamoDB tables and two Cognito pools, COPPA-grade consent for school programmes, QR-verified rideshare with scheduled settlement, fail-closed audit exports, and a React portal plus React Native app, hardened for a live pilot.

  • 18DynamoDB tables, all retained and protected
  • 16CloudWatch alarms routed to the client
  • AWS CDK
  • Lambda (Python 3.13)
  • API Gateway
  • DynamoDB
MarketplaceFrance

A beauty booking marketplace rebuilt as a serverless platform: bookings, deposits, payouts and a 66-story roadmap

AWS CDK backend for clients and beauty professionals: an 8-state appointment lifecycle, deposits and auto-confirm flows, hourly Stripe Connect payouts in Paris time, reminders over push, SMS and WhatsApp, and a data model built so an AI assistant can drive it safely.

  • 8appointment states, enforced server-side
  • 5roles with server-derived permissions
  • AWS CDK
  • Lambda
  • API Gateway
  • EventBridge
FAQ

DevOps & Cloud questions, answered

Do we need Kubernetes?

Not always. Kubernetes pays off when you run many services or need fine-grained scaling. For a single application, a managed platform like AWS ECS, Cloud Run or Azure App Service is often cheaper and simpler. We recommend what fits, not what's fashionable.

Can you work with our existing cloud account?

Yes. We usually start with an audit of your current setup, then improve it step by step so production stays stable throughout.

Will our team be able to maintain it?

That's the goal. Everything is defined as code and documented, and we walk your team through it before handover.

Which cloud provider should we choose?

AWS has the broadest service catalogue, Google Cloud is strong for data and Kubernetes, and Azure suits teams already invested in Microsoft. Existing credits or accounts often decide it, and we'll give you a straight recommendation either way.

Have a project in mind?

Tell us what you're building. You'll get a straight answer on scope, timeline and cost, usually within one business day.

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