Kubernetes & Containers
Run containers in production with confidence, on a Kubernetes platform built to scale securely.
Overview
Kubernetes and container services help you containerise applications and run them on production-grade orchestration. We design and build secure, scalable clusters (EKS, AKS, GKE or self-managed), set up networking, autoscaling, observability and GitOps deployment, and harden the platform, so you get the agility of containers without the operational pitfalls that bite unprepared teams. Built-in hardening, autoscaling and GitOps automation deliver a resilient, portable platform that scales efficiently across clouds while keeping security and operational overhead under control.
Methodology & Standards
CNCF and Kubernetes best practices, the CIS Kubernetes Benchmark for hardening, GitOps delivery with Argo CD, and managed Kubernetes across AWS (EKS), Azure (AKS) and Google Cloud (GKE). Clusters are continuously validated against CIS hardening, policy and observability baselines, ensuring security, resilience and operational excellence are maintained as workloads scale.
What's Included
What You Receive
Frequently Asked Questions
Not always. Kubernetes shines for teams running many services that need portability, autoscaling and a consistent platform across clouds. For simpler workloads, managed container or serverless options can be cheaper and easier. We give an honest recommendation rather than defaulting to Kubernetes for everything.
We harden against the CIS Kubernetes Benchmark, lock down RBAC, manage secrets properly, apply network policies and pod security standards, scan images in the pipeline, and keep the control plane and nodes patched. Security is built into the platform design, not added after an incident.
We right-size requests and limits, enable cluster and pod autoscaling, and monitor utilisation continuously, so you run workloads efficiently and avoid paying for idle capacity as the platform grows.
Yes. We assess each application for containerisation readiness, build the cluster and deployment workflow, and migrate workloads in stages with testing and rollback, so the move to containers is controlled and low-risk.