Your platform engineering partner.
The internal platform your product teams ship through. Golden paths, self-service environments and a paved road off Kubernetes, so shipping stops being a ticket to another team.
- Ship on their own schedule
- No ticket to another team
- One way to do each thing
- Golden paths per workload type
- Self-service environments
- Templates and scaffolding
- Preview environments per pull request
- Policy and guardrails in the path
- Developer portal and docs
- Kubernetes
- Crossplane
- Argo CD
- Terraform
- GitHub Actions
Why choose us to build your platform.
A platform that nobody uses is worse than no platform at all. We build it with the teams who have to ship through it, and we measure whether they actually do.
Built as a product, not a project
Your engineers are the users. We talk to them before we build, ship the first golden path for one real team, and widen it only once that team is genuinely faster.
Adoption is the success metric
Not cluster count, not a diagram. Build and deploy lead times per team, and a named list of who is on the paved road and who is still working around it.
Guardrails replace review
Policy enforced in the path means the compliant way to ship is the fast way, so security stops being a gate at the end and starts being the default at the start.
Handed over, not held hostage
The platform is a repository your team can read, change and extend. Standard projects, documented decisions, and the training to run it without us.
What we do.
Pick the one that matches what is blocking you. Most engagements start with a single line on this list.
Internal developer platform
One paved road from a new repository to running production traffic, built as a product with your engineers as its users. Templates, pipelines, environments and policy in a single path that a team can follow without knowing how any of it works underneath, and without opening a ticket.
- Golden path per workload type
- Self-service, no platform ticket
- Guardrails in the path, not in review
- Adoption measured, not assumed
Kubernetes platform build-out
Clusters, namespaces, tenancy and networking designed as a shared platform rather than as one team's environment, with the upgrade path planned before the first workload lands on it.
Golden paths and service templates
A scaffolded starting point per workload type, wired to CI, secrets, observability and deployment on the first commit, so the tenth service costs a fraction of the first.
Self-service environments
Developers provision what they need through the platform, including a preview environment per pull request that is torn down on merge, instead of queueing for a shared staging slot.
Developer portal and service catalogue
One place that answers who owns this service, what it depends on, where its runbook is and how to deploy it, kept current by the platform rather than by a wiki gardener.
Policy, guardrails and paved-road compliance
Admission policy, image provenance and resource limits enforced by the platform, so the compliant way to ship is also the easy way and review stops being the control.
Developer experience and platform adoption
Build, deploy and lead times measured per team, with the friction that shows up in the numbers fixed, and a straight answer on which parts of the platform nobody is using.
Platform engineering goes wrong in one of two directions. Either nothing is built and every team invents its own deploy path, or a platform team builds something elaborate that the product teams route around. Both end in the same place: shipping depends on which engineer is available.
We treat the platform as a product with internal users. That means starting from what a product team actually does today to get code into production, picking the one workload type that hurts most, and shipping a golden path for it that a real team adopts before anything else gets built. Templates, CI, environments, secrets and observability arrive wired together on the first commit rather than as six separate integrations.
Guardrails belong in the path. Admission policy, resource limits and image provenance enforced by the platform mean the compliant way to ship is also the quickest way, which is the only version of that trade that survives a deadline.
The clusters underneath this are cloud and infrastructure work, and keeping what runs on the platform inside an SLO is site reliability engineering. Same team, same repository, so the seams between the three are ours to deal with rather than yours.
- Golden path per workload type, documented and used by a real team
- Self-service environment provisioning, no ticket in the loop
- Service templates that scaffold a new service in minutes
- Preview environment per pull request, torn down on merge
- Policy and guardrails enforced in the path, not in review
- Developer portal with the catalogue and the runbooks behind it
- Platform adoption measured, with the teams actually using it named
Standard parts, assembled into one path.
Nothing here is bespoke. The platform is well-supported projects wired together deliberately, so your team can hire for it and we are not the only people who can operate it.
AWS
EKS as the platform substrate, with account structure and guardrails your teams inherit rather than re-implement.
Microsoft Azure
AKS with Azure-native identity and policy wired into the same golden paths as everything else.
Google Cloud
GKE with workload identity, so a service template ships with credentials handled rather than pasted.
Bare metal and colocation
Your own hardware carrying the same platform contract as a managed cloud, not a second way of working.
Need help with platform engineering?
Thirty minutes with our experts, the people who would do the work. We tell you on that call whether we are the right fit.
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