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Cloud & DevOps

Ship faster without losing stability

We strengthen CI/CD pipelines and infrastructure with predictive monitoring and AI-assisted incident analysis. Every deployment is gated by human review. We build quality into the development process and use AI-assisted testing to remove release bottlenecks.

Where this usually goes wrong

The patterns we see most often before an engagement begins.

Releases are events

Deployment depends on manual steps and on a small number of people being available.

Reactive operations

Problems are found by users rather than by monitoring.

Environment drift

Production differs from staging in ways nobody documented.

How we deliver

Four stages, each with something you can review before the next one starts.

01

Baseline

We measure the current pipeline: lead time, failure rate, recovery time, and manual steps.

02

Automate

Build, test, and deploy become reproducible, with infrastructure defined as code.

03

Observe

Monitoring and alerting are tuned to predict failure rather than report it.

04

Improve

AI-assisted analysis shortens incident diagnosis, with humans approving every change.

What's included

CI/CD pipeline design and optimization
Infrastructure as Code (IaC)
Predictive monitoring and alerting
AI-assisted incident analysis
Self-healing test automation
Cloud migration and multi-cloud strategy

Outcomes

CI/CD pipelines that make releases routine
Infrastructure as Code across environments
Predictive monitoring and alerting
Cloud migration and multi-cloud strategy

How you can work with us

Three ways to engage, so the shape of the work matches who owns delivery.

Delivery pipeline build

Build, test, and deploy automated end to end, with infrastructure defined as code and environments that are reproducible.

Best fit

Best when releases still depend on specific people.

Reliability and observability review

A measured baseline of lead time, failure rate, and recovery, with the manual steps costing you most fixed first.

Best fit

Best when you need to know where the delay actually is.

Managed platform services

Ongoing platform engineering, cost review, and incident support with agreed response expectations.

Best fit

Best when the platform needs an owner.

Platforms and tools

What we build on

The platforms and frameworks we work with most often. We select on your constraints and existing contracts, not on a preference of ours.

AWSAzureGoogle CloudKubernetesTerraformGitHub ActionsGitLab CIArgo CDPrometheusGrafana

Frequently asked questions

Ready to talk about cloud & devops?

Tell us where you are today and what you need to reach production. We will tell you plainly whether we are the right partner for it.