Search result for 'Kubernetes'

•Use Case: Regularly backup Kubernetes cluster state, including ConfigMaps, Secrets, and Persistent Volume Claims, to ensure recovery in case of accidental deletion or cluster failure.

•DagKnows can integrate with tools like Velero to automate the backup of Kubernetes cluster resources.

•The platform can schedule regular backups, store them in secure S3 buckets, and automate restor...

•Use Case: Optimize the cost of Kubernetes workloads by automating the scaling of pods and nodes based on demand.

•The platform can ensure that resources are provisioned efficiently to meet demand without overprovisioning, thereby optimizing costs.

• Integrating with Kubernetes HPA for automatic pod scaling based on real-time metrics.

• Man...

•Use Case: Ensure that Kubernetes clusters comply with security standards such as CIS benchmarks.

•DagKnows can automate the execution of compliance checks against Kubernetes clusters using tools like kube-bench.

•It can generate compliance reports and automate the remediation of non-compliant settings in Kubernetes.

Runs checks to see node readyness issues are due to the Kubelet. Some kubelet issues include unresponsive kubelets, dead kubelets or kubelets that have exited soon.

Identifies nodes where the Kubelet is in an inactive or dead state.

Check if a cluster is in a ready state. Task returns a list of nodes that are no in a ready state. If all nodes are in a ready state then an empty list is returned and no further checks in the sub tasks are performed.

Identifies kubelets that are in active but exited state.

Checks for general contraints and errors preventing kubectl itself from being started.

Checks if any of the nodes are constrained on disk space (experiencing DiskPressure)