Cloud and Platform

Kubernetes and Microservices EKS, AKS and GKE platforms that scale on demand

Microservice architecture and Kubernetes platforms on EKS, AKS or GKE. Helm, service mesh, ingress, autoscaling with HPA and KEDA, and the guardrails that keep dozens of services healthy in production.

EKS

AKS and GKE, plus self managed clusters

HPA

KEDA and Karpenter for pod and node autoscaling

0

Downtime deploys with rolling and canary rollouts

99.95%

Availability target for production platforms

Overview

What is Kubernetes and Microservices?

Kubernetes is the standard way to run many services reliably, but a cluster on its own is not a platform. We design the whole thing: cluster topology on EKS, AKS or GKE, node pools, networking and ingress, secrets, observability, and the developer workflow that gets a service from a git push to production.

Microservices only pay off when the boundaries are right. We help you split a monolith along real business seams, define contracts between services, choose synchronous versus event driven communication, and avoid the distributed monolith trap. Sometimes the answer is fewer services, and we will say so.

Scaling is designed in: Horizontal Pod Autoscalers on CPU, memory or custom metrics, KEDA for queue and event based scaling, Karpenter or cluster autoscaler for nodes, pod disruption budgets, resource requests and limits that reflect real usage, and load tests to prove it works before launch day.

Platform tooling is chosen to fit your team: Helm or Kustomize, ArgoCD for GitOps, an ingress controller or Gateway API, a service mesh such as Istio or Linkerd when mutual TLS and traffic shaping matter, plus Prometheus, Grafana and OpenTelemetry for visibility.

Key benefits

Why businesses choose this

Elastic Scaling

Pods and nodes scale with traffic, queues and custom metrics.

Right Sized Services

Service boundaries driven by your domain, not by fashion.

Zero Downtime Releases

Rolling, blue green and canary deployments as standard.

Observable

Metrics, logs and traces wired in for every service.

How it works

Our delivery process

  1. 01

    Map

    We map services, dependencies, traffic patterns and the team that owns each.

  2. 02

    Design

    Cluster topology, scaling policies, networking and the deployment workflow.

  3. 03

    Build

    Clusters as code, Helm charts, pipelines and observability, then load tested.

  4. 04

    Run

    Handover, on call runbooks and optional ongoing platform support.

Use cases

Real world applications

  • New EKS, AKS or GKE platforms with GitOps
  • Monolith to microservices migrations
  • Autoscaling for seasonal or campaign driven traffic
  • Service mesh, mutual TLS and traffic shaping
  • Cluster upgrades, hardening and cost optimisation
Let us build it

Ready to start with Kubernetes and Microservices?

Let us have a free 30 minute call to explore what is possible for your business. No commitment required.

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