ipfour
Cloud ServicesDevOps and CI/CDContainer Orchestration
Container Orchestration

Kubernetes at any scale. Managed end to end.

EKS, AKS, and GKE clusters designed, deployed, and operated by our engineers. From containerising your first application to running a production multi-cluster estate, we handle the complexity.

EKS Managed
AKS Managed
GKE Managed
ArgoCD GitOps
K8s
Kubernetes managed clusters
60s
Average scale-out time
40%
Typical infrastructure cost saving
24/7
Cluster monitoring and response
What Is Included

Full Kubernetes management. Every layer covered.

From cluster design and provisioning to application delivery, security, and observability, every aspect of your container platform managed.

Kubernetes Cluster Design

Cluster architecture designed for your workload profile. Node group sizing, availability zone distribution, and autoscaling policies configured from day one. Multi-tenancy via namespaces and RBAC.

Cluster ArchitectureNode GroupsRBAC

EKS, AKS, and GKE Management

Managed Kubernetes on AWS, Azure, and Google Cloud. Control plane upgrades, node pool management, and add-on lifecycle handled by our engineers. No cluster left unpatched.

EKSAKSGKE

Helm Chart Development

Application deployments packaged as Helm charts with environment-specific values files. Chart versioning, rollback capability, and private chart repository management included.

Helm ChartsChart VersioningPrivate Registry

GitOps with ArgoCD

Continuous delivery to Kubernetes via ArgoCD. Application state defined in Git. Drift detection alerts on any out-of-sync resources. Automated sync policies for non-production environments.

ArgoCDGitOpsDrift Detection

Container Security

Image scanning with Trivy in the CI pipeline. Pod security standards enforced. Network policies restricting inter-pod traffic. Secrets managed via Vault or cloud-native secret stores.

Trivy ScanningPod SecurityNetwork Policies

Cluster Observability

Prometheus and Grafana deployed for cluster and application metrics. Loki for log aggregation. Alerting configured for node pressure, pod restarts, and deployment failures.

PrometheusGrafanaLoki
How We Work

From VMs to Kubernetes in six steps.

A structured migration approach that gets your workloads running on Kubernetes without disrupting your users.

01

Workload Assessment

Review of your applications and their containerisation readiness. Stateful vs stateless workloads identified. Resource requirements and scaling patterns documented.

02

Cluster Design

Cluster architecture designed for your scale and availability requirements. Network topology, ingress strategy, and storage classes agreed before provisioning.

03

Cluster Provisioning

Cluster provisioned using infrastructure as code. Add-ons installed and configured. RBAC policies applied. Baseline security hardening completed.

04

Application Migration

Applications containerised and packaged as Helm charts. Deployments migrated to Kubernetes with health checks, resource limits, and horizontal pod autoscalers configured.

05

Observability Setup

Prometheus, Grafana, and Loki deployed. Dashboards created for cluster health and application performance. Alerting configured and routed to your team.

06

Ongoing Operations

Day-to-day cluster management, upgrade planning, and incident response. Monthly cluster health reviews. Capacity planning and cost optimisation included.

Real Results

Container orchestration delivered for UK businesses.

SaaS Platform, London

A SaaS company was running all their services on EC2 instances with no container strategy. Deployments were slow, environments were inconsistent, and scaling required manual intervention.

Full migration to EKS with ArgoCD for GitOps delivery. Deployment time reduced from 45 minutes to 4 minutes. Auto-scaling handles traffic spikes without any manual intervention.

Digital Agency, Edinburgh

A digital agency was managing 30 client applications across separate VMs. Infrastructure costs were high, and managing updates across all environments was a full-time job.

All 30 applications migrated to a shared AKS cluster with namespace isolation. Infrastructure cost reduced by 40 percent. Update process automated via Helm and ArgoCD.

Logistics Company, Birmingham

A logistics company needed their order processing platform to scale from 100 to 10,000 concurrent users during peak periods without pre-provisioning expensive infrastructure.

Kubernetes with KEDA event-driven autoscaling deployed on GKE. Platform scales from 2 to 50 pods in under 60 seconds. Infrastructure cost reduced by 35 percent versus previous VM approach.

Ready to Containerise?

Still running on VMs? Kubernetes is ready for you.

Our free container assessment reviews your applications, identifies containerisation opportunities, and gives you a clear migration roadmap. No obligation.