EKS architecture
Cluster layout across accounts and environments, node group strategy and clear ownership boundaries.
Production-grade Kubernetes on AWS, from design to upgrades.
Kubernetes gives you a powerful foundation, and a lot of ways to get it wrong. Clusters drift out of date, upgrades get postponed until they are risky, and workloads run without sensible limits or ownership.
We design, harden and operate cloud-native platforms on Amazon EKS. That includes containerizing workloads, planning cluster upgrades with minimal disruption, and making scaling and failure behavior predictable.
Cluster layout across accounts and environments, node group strategy and clear ownership boundaries.
Control plane and worker node upgrades planned and rehearsed to keep service disruption minimal.
Dockerfiles, Helm charts and build pipelines that turn existing applications into well-behaved containers.
Pod and node scaling tuned to your workloads, with resource requests and limits that reflect reality.
Persistent storage, backups and database operators for stateful services, with tested recovery paths.
Right-sizing and usage analysis to remove waste without hurting reliability.
Everything is handed over in your repositories and documented, so your team can run and extend it independently.
We review your architecture, pipelines, cost, reliability and security posture, then deliver prioritized findings.
We define the target platform, IaC modules and deployment standards, matched to your team and your roadmap.
We implement Terraform, GitOps, CI/CD and agent-assisted workflows, with review gates at every step.
We set up observability, upgrades and runbooks, then hand over knowledge so your team stays in control.
We plan upgrades to minimize disruption, using rolling strategies, capacity headroom and pre-checks for deprecated APIs. We are honest about the risk for stateful workloads and plan around it.
Our depth is on AWS. We also have experience with Azure and Google Cloud and can assess whether we are the right fit.
Yes. We start with the workloads that benefit most and containerize incrementally.
Tell us about your stack and where it hurts. We will reply with how we would approach it.