Expertise
Industrialising what is still manual: describing infrastructure as code, automating deployments and making operations readable. On Azure as well as AWS.
Infrastructure described with Terraform: reproducible environments, changes tracked and reviewed, configuration drift eliminated. Including the gradual takeover of an existing estate.
Continuous integration and delivery pipelines, secret management, release and rollback strategies, on-demand test environments.
Audit of the existing estate, a chosen path per application, migration in waves and handover to operations. We do not migrate everything the same way.
Application and infrastructure monitoring, logs you can actually use, alerting that means something, and cost governance so the bill does not drift after the move.
What our teams actually use in this area.
A company running a MuleSoft integration platform
Replacing a proprietary integration platform, whose licence weighs heavily on the budget, with an open solution hosted on the cloud the client already uses.
Construction company
The daily site report, filled in from the field in a few minutes, costed automatically and available at head office the same day — instead of paper sheets.
Cloud & integration4 min read
Recent incidents almost never come from an exotic vulnerability, but from badly calibrated authorisation and unbounded resources. What actually protects you: a design that denies by default, tests that block, and telemetry you can act on.
Cloud & integration3 min read
Describing your infrastructure in code brings reproducibility and traceability. But the foundations have to be laid in the right order: repository, pipeline, state and secret management, before the first resource is migrated.
Cloud & integration3 min read
A successful cloud migration owes less to technology than to method: know what you actually run, choose the right path for each application, migrate in waves, and put cost governance in place.
Let's talk it through — scoping, architecture or delivery.
