Cloud & DevOps
Infrastructure that deploys itself and tells you when it hurts
Cloud architecture, infrastructure as code, CI/CD pipelines, and observability - so releasing on a Friday stops being a gamble.
If more than one of these sounds familiar, this is the right service to talk about.
Deploys happen in the evening because that is when it is safe to break things
Staging and production differ in ways nobody can fully explain
Only one engineer can release, and they are on holiday next week
The cloud bill grows every month and nobody owns the number
Outages are reported by customers before monitoring notices them
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.
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.
Every environment defined in Terraform and reviewable in a pull request, so changes are proposed and checked rather than typed into a console at speed.
Build, test, and deploy on merge, with preview environments, a gate before production, and a rollback path that has actually been rehearsed.
Metrics, structured logs, traces, and alerts routed to people who can act on them, each alert tied to a runbook that says what to do.
Least-privilege roles, secrets out of source control, automated dependency and image scanning, and audit logging on the pipeline itself.
Right-sizing, autoscaling policies, schedules for idle environments, and a cost dashboard broken down by service and environment.
A written assessment of what runs where, what is manual, what is single-point-of-failure, and what it costs.
Environments move into Terraform so staging and production stop diverging in ways nobody can explain.
Tests, builds, and deploys run in a pipeline with a rollback that has actually been rehearsed.
Metrics, logs, traces, and alerts routed to the people who can act on them, with runbooks attached.
Deployments measured in minutes, not evenings
Environments reproducible from version control
Incidents detected by monitoring, not by customers
We would rather say so early than take the work and disappoint you later.
Kubernetes for its own sake where a managed runtime would do
Multi-cloud architectures adopted before a single cloud is under control
Certification programmes - we prepare technical evidence, we are not your auditor
Rescue work on a platform you have already decided to replace
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 ServiceTo a codified platform with automated delivery
From merge to production on an ordinary day
Of environments reproducible from version control
In Practice
A team deploying monthly at weekends moved to daily releases during office hours, with rollback measured in minutes rather than in apologies.
Staging rebuilt from the same Terraform modules as production, ending a class of bug that only ever appeared after release.
Alerting, an on-call rotation, and runbooks introduced so the first response to an incident is a procedure rather than a group chat.
Idle non-production environments put on a schedule and oversized instances right-sized, without eating into production headroom.
Related Work
Healthcare
Eleven clinics each ran their own rota spreadsheet. We built a single scheduling platform with the compliance rules encoded, not remembered.
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We design, build, and run the internal systems that move your business - workflow automation, custom software, and the integrations that hold them together.
1048 El Monte Ave Ste C, Mountain View, CA 94040, United States