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Cloud & DevOps

Infrastructure that deploys itself and tells you when it hurts

Cloud & DevOps

Cloud architecture, infrastructure as code, CI/CD pipelines, and observability - so releasing on a Friday stops being a gamble.

The Problem

Manual deploys, snowflake servers, and a monitoring setup that consists of someone checking a dashboard occasionally. It works right up until the person who understands it takes a holiday.

Our Approach

We codify the environment, automate the release path, and put enough observability in place that the system tells you what is wrong before a customer does.

How It Runs

01.Infrastructure review

A written assessment of what runs where, what is manual, what is single-point-of-failure, and what it costs.

02.Codify

Environments move into Terraform so staging and production stop diverging in ways nobody can explain.

03.Automate delivery

Tests, builds, and deploys run in a pipeline with a rollback that has actually been rehearsed.

04.Observe

Metrics, logs, traces, and alerts routed to the people who can act on them, with runbooks attached.

Outcomes We Aim For

Deployments measured in minutes, not evenings

Environments reproducible from version control

Incidents detected by monitoring, not by customers

What You Get

Infrastructure as code across all environments

CI/CD pipeline with automated tests and rollback

Monitoring, logging, and alerting baseline

Cost review and right-sizing recommendations


Engagement: Platform project or fractional retainer

Timeline: Baseline platform in 4-6 weeks

Discuss This Service

Typical Stack

AWSTerraformDockerKubernetesGitHub ActionsGrafana

Related Work

Where We Have Done This

Healthcare

A scheduling platform that replaced eleven spreadsheets

Eleven clinics each ran their own rota spreadsheet. We built a single scheduling platform with the compliance rules encoded, not remembered.


Read Case Study

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