Services
Five engagements covering the platform layer: the cloud estate underneath it, the Kubernetes build, the delivery system on top, the observability to run it, and the day-two work that keeps it current. Each service solves a focused problem on its own. Together they make us your platform team.
Service
Your cloud estate grew faster than the rules around it, and the platform is starting to inherit that mess.
The account model, network, identity, and guardrails your platform inherits. We make the cloud estate predictable before Kubernetes multiplies every weak boundary.
Outputs
Service
You need more than a cluster: teams need a usable platform with the defaults, services, and guardrails already in place.
A production-ready Kubernetes platform with the control plane, core services, guardrails, and Git-owned configuration needed before teams ship into it.
Outputs
Service
Deployments depend on manual steps, fragile pipelines, or release knowledge that only a few people carry.
The path from merge to production: reusable CI, GitOps reconciliation, promotion by pull request, release controls, and rollback that starts in Git.
Outputs
Service
The tools exist, but incidents still involve guesswork, noisy alerts, missing dashboards, or unclear ownership.
Metrics, logs, dashboards, and alerts shaped around incident response. The goal is knowing what is happening and what to do next, which more signals rarely deliver on their own.
Outputs
Service
The platform launched, but upgrades, cost, capacity, support, and ownership now need a routine the team can keep.
The routines that keep a live platform healthy: upgrades, capacity, cost, ownership, runbooks, support rhythm, and the backlog after launch.
Outputs
Operating model
We treat platform work as a product: clear foundations, deliberate rollout, and a feedback loop that keeps the defaults improving after teams start using them.
Phase
Shape the core platform model, team boundaries, runtime assumptions, and the first useful defaults.
Phase
Turn the model into a platform teams can actually adopt with service workflows, delivery guardrails, and observability.
Phase
Refine the platform with the teams using it so the defaults improve and the operating model stays healthy as adoption grows.
Next step
Tell us what you’re trying to improve. We’ll help you spot the opportunities, understand what’s possible, and find the best next step.