Infrastructure your team can run with confidence.

Most migrations run 6 to 16 weeks, from assessment through to the final cutover. The exact timeline depends on how many workloads you have, how much data is involved, and how many stateful dependencies are in the mix. We always begin with a one to two week assessment, so you have a real estimate before you commit to anything.

If you have fewer than ten services and a small ops team, Docker usually wins on simplicity and cost. Kubernetes starts to pay off once you need multi-tenancy, multiple regions, advanced autoscaling, or GPU scheduling. We'll give you a straight answer on which one fits, even when that means recommending the smaller engagement.

Either works. Most clients go with a hand-off model and keep optional retainer support on the side. Some prefer us to run ops fully, which we'll do with clear SLAs and an exit clause so you can bring it in-house whenever you want.

Our default is OpenTelemetry for instrumentation, with Prometheus, Grafana, Loki, and Tempo on the backend. That stack is open source and portable. If you'd rather use Datadog or another vendor, we'll wire it up, but at the instrumentation layer you stay free to switch.

Cloud is rarely cheaper by default, it gets cheaper when it's sized and governed properly. We model total cost of ownership before anything moves, then build in FinOps guardrails: budgets, autoscaling, right-sizing, and spot or reserved capacity where they fit. You get a monthly cost dashboard so spend never surprises you.

Every cutover phase ships with a rollback we have already tested, so we can return to the last known-good state without data loss. We cut over in phases using traffic mirroring, dual-running, or canary patterns, which means only a slice of traffic is exposed at any moment. You sign off on each phase before we move to the next.

You do. Everything we build, including infrastructure as code, pipelines, Helm charts, and runbooks, lives in your repositories and your cloud accounts from day one. There is no proprietary layer you have to license from us, and nothing locks you to keeping us on retainer.

Yes, and this is one of the most common requests we get. We design SLIs, SLOs, and error budgets around your real user journeys, then stand up paging, escalation, and incident command with training for your engineers. The goal is that a 2 a.m. page becomes a calm, ten-minute fix rather than a scramble.

We default to widely adopted, well-supported tools (Terraform, Kubernetes, GitHub Actions or GitLab CI, ArgoCD, Prometheus, Grafana) so your team can hire and Google for help. If you already run a stack your engineers know, we build on it rather than forcing a rewrite. We only recommend replacing a tool when it is actively costing you reliability or money.

We build on open, portable foundations: containers, Terraform, and Kubernetes-native patterns that run on any major cloud or bare metal. We use managed services where they clearly save you time, but we keep the abstractions clean so a future move is an engineering project, not a rewrite. If multi-cloud or an exit is a real requirement for you, we design for it from the start.