Managed Services
Managed Cloud Kubernetes
Operate cloud Kubernetes across workloads, nodes, policy, delivery, observability, cost, upgrades, and recovery.
Managed Kubernetes services still require ownership of workloads, node pools, policies, networking, storage, delivery, and cost. We keep the platform ready for application teams.
When this service is needed
- Cloud clusters run production workloads.
- Upgrades, autoscaling, policy, and capacity lack clear ownership.
- Application teams struggle to respond to Kubernetes alerts and incidents.
- Node, storage, and egress costs need control.
Scope
- Cluster, node-pool, add-on, ingress, DNS, certificate, and storage health.
- Workload status, requests and limits, autoscaling, disruption, and scheduling.
- RBAC, policy, secrets, images, auditing, and security posture.
- GitOps or deployment workflows and configuration drift.
- Metrics, logs, traces, alerts, SLOs, incidents, and capacity review.
- Upgrade planning, backup, recovery, cost, and lifecycle.
Operating model
- Onboard: establish inventory, baselines, access, dependencies, and ownership.
- Observe: monitor service, capacity, security, backup, and cost indicators.
- Operate: handle incidents, requests, changes, patches, and routine work.
- Improve: review recurring problems, risks, technical debt, and optimisation.
- Report: communicate activity, findings, trends, and next priorities.
Service controls
- Responsibility matrix and escalation paths.
- Change records, approval, and rollback for material changes.
- Runbooks and evidence for recurring work.
- Recurring review of capacity, lifecycle, risk, and cost.
Intended outcomes
Application teams gain a stable, secure, observable Kubernetes platform with controlled lifecycle and cost.