01
Karpenter autoscaling
Right-sized nodes provisioned on demand, with spot capacity where the workload tolerates interruption.
Technologies — Cloud, DevOps & AI
Kubernetes (EKS / GKE) orchestration & SRE consulting
We architect, secure, and operate production Kubernetes clusters that scale smoothly, recover automatically, and minimize cloud waste.
Core capabilities
Why we build with Kubernetes
02
GitOps delivery with Argo CD
Automated, declarative cluster synchronization where Git is the single source of truth.
03
Hardened multi-tenant security
Enforcing NetworkPolicies, Pod Security Standards and Kyverno governance policies.
Use cases
Where Kubernetes fits
Multi-service SaaS platforms
Many microservices with automated canary deployments and rollbacks.
GPU workload scheduling for AI
Dynamic GPU node provisioning and bin-packing for machine learning training and inference.
How we staff it
Kubernetes engineers you interview first
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Frequently asked engineering questions
Karpenter evaluates pending pod requirements directly and provisions exact-fit spot instances in seconds, reducing the waste from half-empty nodes.
We back up cluster state and persistent volumes using Velero, testing automated cluster restores across availability zones.
Ecosystem
Related technologies
Planning a Kubernetes project?
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.