Better infrastructure.
By design.

From the first architecture review to the next production rollout, we help your team build and run Kubernetes with a clear plan.

Discuss your architecture

01 / Cloud partnerships

Partnered with the clouds you build on.

Google Cloud, AWS, and Microsoft Azure.
Cloud expertise, backed by real partnerships.

Google Cloud Partner

GKE, cloud architecture, and data platforms.

provider: gcp

Select Tier Services Partner

EKS, infrastructure automation, and cloud operations.

provider: aws

Microsoft Azure Partner

AKS, cloud foundations, and deployment workflows.

provider: azure

02 / The blueprint

From a commit to a dependable platform.

A repeatable path into production.
A clear view of what happens there.

Fig. 01 — A production platform, by designREF / CK–001
01VersionCode + infrastructure
02Build & testContinuous integration
03DeliverGitOps + automation
KubernetesGKE / EKS / AKS
WorkloadsYour applications
PoliciesClear boundaries
ServicesConnected systems
Observe & improveMetrics / Logs / Traces

Illustrative architecture / Adapted to your cloud, your workloads, and your team.

03 / Engineering expertise

Good systems take hands-on work.

Start with a project.
Stay for the partnership.

01consulting.yaml

Get the architecture right.

A clear view of your infrastructure, the constraints that matter, and a practical plan for what comes next.

Architecture reviews / Kubernetes migrations / Cloud strategy

02platform.yaml

Give your team a better platform.

Infrastructure as code, repeatable environments, and delivery pipelines built around the way your engineers work.

Platform engineering / Terraform / CI/CD & GitOps

03operations.yaml

Keep production moving.

Monitoring, upgrades, and troubleshooting from engineers who understand the systems behind your product.

Observability / Cluster operations / Reliability

04 / The CloudKite process

Understand first.
Then engineer.

We start by learning how your team actually builds, tests, and ships. Every decision follows from there.

  1. 01

    Discover

    Map your systems, delivery workflows, and the realities of your team.

    discovery.md
  2. 02

    Design

    Agree on the architecture, scope, costs, and milestones together.

    architecture.yaml
  3. 03

    Implement

    Build alongside your engineers, with changes tracked and decisions documented.

    pull-request.diff
  4. 04

    Support

    Monitor, maintain, and improve as your platform and your team evolve.

    runbook.md

05 / Field report

Miami Marlins / Google Cloud / Kubernetes

More engineering.
Less maintenance.

We worked with the Miami Marlins’ R&D team to move from on-prem systems to a cloud and ML foundation built for the way their engineers work.

Read the Marlins case study
50+ML models in production
87%Reduction in maintenance time

Terraform / GKE / Argo CD / Airflow

06 / Your next architecture

Let's look at what
you're building.

Bring your architecture, your questions, or the problem that keeps coming back. We'll work out a practical next step together.

Talk to an engineer