DevOps and
infrastructure
The machinery between a merged pull request and a working production system — pipelines, environments, monitoring and the cost of running it all.
What we set up
Right-sized to your team. A cluster nobody needs is a tax paid monthly in attention.
CI/CD pipelines
Automated build, test and deploy, so releasing is a routine event rather than a manual ritual performed by one person.
Infrastructure as code
Environments defined in version control and recreated by running the code, instead of assembled by clicking through a console.
Monitoring and alerts
Logs, metrics and traces tied together, with alerts on error rate and latency rather than on graphs nobody acts on.
Cloud cost
Where the bill actually comes from, and what to resize. Cloud spend grows quietly until somebody reads the invoice line by line.
How we approach it
Simplest setup that fits the load and the team that has to run it after we leave.
Assess
Current deploy path, environments and failure history. We find what actually hurts — usually it is manual steps and missing rollback, not the orchestrator.
Automate
Pipelines, infrastructure code and secrets handling, with staging that genuinely predicts production rather than drifting away from it.
Hand over
Runbooks, alert ownership and a rehearsed restore, so your team can operate it without us on the phone.
Tools
Managed services where they fit, self-hosted only when there is a reason.
AWSDeploys still
manual?
Tell us how you release today. We will map the shortest path to a pipeline your team can actually own.
