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v1v
Published by: Kubernetes2Updated

Kubernetes v1 Workload resources are fundamental API objects that manage and orchestrate containerized applications within a cluster. These resources define how applications run, scale, and recover from failures. Key workload resources include Pods, Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs, each designed to handle different workload patterns, ensuring reliability, scalability, and maintainability in Kubernetes environments.

v1
workload
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  • Pod

    Under development

    The Pod template is designed to define the specifications for creating and running containers within a Kubernetes cluster. It uses a combination of facets and variables to allow for different configurations.

  • Deployment

    Under development

    The Deployment template is designed to define the specifications for managing and scaling application instances within a Kubernetes cluster. It leverages facets and variables to support different configurations and automated rollouts.

  • StatefulSet

    Under development

    The StatefulSet template is designed to define the specifications for managing stateful applications in a Kubernetes cluster. It uses facets and variables to ensure stable network identities, persistent storage, and ordered deployments.

  • DaemonSet

    Under development

    The DaemonSet template is designed to define the specifications for ensuring that a specific pod runs on every node in a Kubernetes cluster. It leverages facets and variables to maintain consistent deployment across nodes.

  • Job

    Under development

    The Job template is designed to define the specifications for running batch processes to completion in a Kubernetes cluster. It utilizes facets and variables to handle one-time or parallel execution of tasks.

  • CronJob

    Under development

    The CronJob template is designed to define the specifications for scheduling recurring jobs in a Kubernetes cluster. It uses facets and variables to automate periodic task execution based on time-based schedules.