What is kubernetes management with DevOpsArk?
Kubernetes management with DevOpsArk means operating every cluster you run (across providers, regions and environments) from a single inventory, with one delivery path, one security baseline and one cost model.
What this solution addresses
- Three providers means three consoles and three partial answers.
- Cluster inventory, versions and ownership are not written down anywhere current.
- Upgrades are deferred because the impact is unknown until the upgrade starts.
- Resource requests are copied between services and never revisited.
- Security posture is checked when someone remembers to check it.
EKS, AKS, GKE, OpenShift and self-managed clusters in the same index.
Deprecated-API impact lists are produced from workloads actually running.
Including each namespace share of idle node capacity.
Stage by stage, with the modules that deliver each one
Every stage links to the modules that implement it, so the path from outcome to capability is explicit.
Connect
Attach clusters through the Kubernetes API with scoped, revocable credentials. No agent required.
Inventory
Clusters, nodes, namespaces, workloads and ownership indexed continuously and kept current from live state.
Deliver
One deployment path across every cluster, with per-cluster strategy, configuration and approvals.
Observe
Cluster and workload metrics, logs and events with retained history and baseline-relative alerting.
Secure and optimise
Continuous posture against the cluster baseline, plus cost attribution and right-sizing per namespace.
Everything involved in this solution
Kubernetes
Multi-cluster Kubernetes management
Agentless Kubernetes
Manage clusters without installing anything
DMK8S
DevOpsArk managed Kubernetes
ArkCD
Continuous delivery and progressive rollout
Monitoring
Infrastructure and application monitoring
Cost Management
Cloud and Kubernetes cost attribution
Kubernetes management: frequently asked questions
Kubernetes management is the operation of clusters and the workloads on them: inventory, deployment, scaling, upgrades, access control, monitoring, cost and security posture. It becomes a distinct discipline once you run more than one or two clusters.
No. DevOpsArk connects through the Kubernetes API using scoped credentials, so a cluster can be onboarded in minutes without a privileged in-cluster workload.
Yes. They appear in one inventory with a shared deployment path, security baseline and cost model, which is the point: the alternative is three consoles that do not reconcile.
Before an upgrade you get the list of workloads in each cluster using APIs the target version removes, with the manifest location to change. Afterwards you get verification that node pools, add-ons and workloads reconciled.
Yes, including clusters with no inbound connectivity, which connect through an outbound-only relay.
Background on this topic
Multi-cluster Kubernetes management: patterns that hold up
Why organisations end up with many Kubernetes clusters, what actually gets hard at that point, and the operational patterns that survive contact with a growing fleet.
Kubernetes monitoring: what to measure and why
A practical guide to Kubernetes monitoring: the cluster, node and workload signals that predict failure, the ones that only look useful, and how to alert on them without drowning.
Kubernetes cost optimization: where the money actually goes
Why Kubernetes clusters cost more than they should, how to attribute spend to teams, and the specific changes that produce the largest savings.
Kubernetes architecture explained: the parts that matter operationally
What each Kubernetes component actually does, which ones you will meet during an incident, and the mental model that makes cluster behaviour predictable.
Talk through kubernetes management for your estate
A 30-minute conversation with a platform engineer about what you have and what would actually change.