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Kubernetes cronjob
MESHERY4483
KUBERNETES CRONJOB
What this pattern does
This design contains a single Kubernetes Cronjob.
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This design is for learning purposes and may be freely copied and distributed.
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Kubernetes Metrics Server Configuration
MESHERY4892
KUBERNETES METRICS SERVER CONFIGURATION
What this pattern does
This design configures the Kubernetes Metrics Server for monitoring cluster-wide resource metrics. It defines a Kubernetes Deployment, Role-Based Access Control (RBAC) rules, and other resources for the Metrics Server's deployment and operation.
...read moreCaveats and Considerations
This design configures the Kubernetes Metrics Server for resource monitoring. Ensure that RBAC and ServiceAccount configurations are secure to prevent unauthorized access. Adjust Metrics Server settings for specific metrics and monitor resource usage regularly to prevent resource overuse. Implement probes for reliability and maintain correct API service settings. Plan for scalability and choose the appropriate namespace. Set up monitoring for issue detection and establish data backup and recovery plans. Regularly update components for improved security and performance.
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MySQL Deployment
MESHERY492d
MYSQL DEPLOYMENT
What this pattern does
This is a simple SQL deployment that would install a k8s deployment, volume and a service.
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No caveats. Ensure the ports are exposed accurately.
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ZooKeeper Cluster
MESHERY4f53
ZOOKEEPER CLUSTER
What this pattern does
This StatefulSet will create three Pods, each running a ZooKeeper server container. The Pods will be named my-zookeeper-cluster-0, my-zookeeper-cluster-1, and my-zookeeper-cluster-2. The volumeMounts section of the spec tells the Pods to mount the PersistentVolumeClaim my-zookeeper-cluster-pvc to the /zookeeper/data directory. This will ensure that the ZooKeeper data is persistent and stored across restarts.
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1. The storage for a given Pod must either be provisioned by a PersistentVolume Provisioner based on the requested storage class, or pre-provisioned by an admin. 2. Deleting and/or scaling a StatefulSet down will not delete the volumes associated with the StatefulSet. This is done to ensure data safety, which is generally more valuable than an automatic purge of all related StatefulSet resources. 3. StatefulSets currently require a Headless Service to be responsible for the network identity of the Pods. You are responsible for creating this Service. 4. StatefulSets do not provide any guarantees on the termination of pods when a StatefulSet is deleted. To achieve ordered and graceful termination of the pods in the StatefulSet, it is possible to scale the StatefulSet down to 0 prior to deletion. 5. When using Rolling Updates with the default Pod Management Policy (OrderedReady), it's possible to get into a broken state that requires manual intervention to repair.
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