Kubernetes & Container Services
Containerization, EKS deployment, cluster operations, and container security.
What we do
We containerise your workloads and run them on Kubernetes with the resource limits, policies and observability that make the platform predictable in production.
Containerization
Dockerfiles, image builds and registry practices producing small, reproducible and quickly scannable images.
Cluster Deployment
EKS and self-managed clusters with hardening and sensible defaults applied from the start.
Observability
Prometheus, Grafana, logging and alerting that show what the platform is actually doing.
Workload Design
Requests, limits, probes, autoscaling and disruption budgets tuned for reliability rather than defaults.
Networking and Storage
Ingress, network policy, service discovery and persistent storage designed deliberately.
Lifecycle Operations
Upgrades, policy enforcement and safe change across running clusters.
Common challenges
Kubernetes adds capability and operational cost in equal measure. It is worth it when the scale justifies both.
- Clusters with no resource limits, where one workload can starve everything else
- Manual, error-prone deployments to production
- Networking and storage issues discovered only after an incident
- Kubernetes adopted without a clear model for who operates the platform
Our approach
We design the cluster around the workloads it must run, including resource limits and policy from the start, rather than deploying a default configuration and adjusting after problems appear.
Changes roll out gradually with monitoring in place before each step, so mistakes surface at small scale rather than across the whole platform.
Technology
Kubernetes, EKS, Docker, Terraform, Prometheus and Grafana.
FAQ
Should we use a managed cluster or self-manage?
For most teams a managed cluster such as EKS is the better default, because someone else carries the control plane. Self-management is justified when you need specific version control or policy behaviour that outweighs the operational cost.
Is Kubernetes worth it for a small application?
Often not. For a single small service, a managed container service or platform-as-a-service is usually simpler and cheaper. Kubernetes earns its overhead as workload count and team count grow.
Do you help with cluster version upgrades?
Yes, including planning the upgrade path, testing it against your workloads and reducing the risk of a surprise incompatibility.
Can you take over an existing cluster?
Yes. We audit the current state first — resource limits, policies, storage and observability — and prioritise the changes that reduce production risk first.
Related services
These services often overlap with this work.
Talk to a Kubernetes engineer
Get help designing or operating your container platform.