Cloud infrastructure, DevOps, security, and MLOps services.
Eight areas we work in, and three ways to engage — one-off advisory, a scoped project, or ongoing support. See how we work for the process behind every one of them.
Cloud Infrastructure
Design and build secure, well-architected cloud environments on AWS or Azure — networking, identity and access, multi-account setups, and serverless where it makes sense.
DevOps & Automation
Automate infrastructure and deployment so changes are consistent, reviewed, and repeatable — not a manual process someone has to remember correctly.
Kubernetes
Build and operate production-grade Kubernetes clusters on Amazon EKS or Azure AKS, sized and configured for how your team actually works.
Security
Secrets management, identity, and access control built into the pipeline from the start, not bolted on before a review.
Compliance & Audit
Prepare infrastructure, access, and change records for compliance reviews — evidence collected as part of normal operations, not scrambled together the week before an audit.
MLOps / AI Infrastructure
Training pipelines, feature stores, experiment tracking, and production model serving — the same GitOps discipline applied to the ML lifecycle.
Cloud Migration
Move existing infrastructure to a controlled, secure setup, with a written plan, not a risky lift-and-shift over a weekend.
Managed / Ongoing Support
Reserved capacity, priority response, and steady maintenance for teams that need expert help but aren't ready to hire full-time.
Not sure which one you need?
Tell us what's going on and we'll point you at the right starting point — advisory, a scoped project, or ongoing support.