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Entry Point The Job controller lives in pkg/controller/job/job_controller.go. NewController() builds the controller instance, and its Run() method starts the sync loops. Higher up, the controller manager wires it like this: cmd/kube-controller-manager/app/batch.go:34 func startJobController(ctx context.Context, controllerContext ControllerCon ...

Kubernetes (K8s) is an open-source container orchestration platform used to automate the deployment, scaling, and management of containerized applications. Installing K8s requires tools to simplify and accelerate the process. This article explains how to install K8s using the most common tool, Kubeadm. K8s Installation Workflow The following is ...

Kubernetes containers are ephemeral by design; any data written to the container's filesystem disappears when the container terminates. While Docker introduced volumes for basic persistence, Kubernetes provides a more sophisticated storage architecture with diverse plugins and explicit lifecycle management tied to Pods rather than individual co ...

This guide walks through deploying a containerized HTTP service on a Kubernetes cluster, covering container images, deployments, services, and ingres configuration. Building and Pushing the Container Image First, build the container image for your HTTP server and push it to a container registry. In this example, the image chengfengsunce/httpser ...

To deploy an application on Kubernetes, developers must first create a container image. The image must then be organized into a format that Kubernetes can interpret, which is achieved by writing configuration files. These files, typically in YAML format, define the application's containers, parameters, and settings. Kubernetes emphasizes this d ...

Customizing the Kubernetes scheduling logic follows a similar pattern to writing MySQL UDFs or Hive custom functions; it requires adhering to specific interfaces and extension points defined by the platform. Background The goal is to implement scheduling capabilities for database services running on Kubernetes. Standard K8s scheduling focuses p ...

The DaemonSet controller guarantees that a specific Pod runs on every node (or selected nodes) within a cluster. When a new node joins the cluster, the controller automatically deploys the Pod to that node. Conversely, when a node is removed, the corresponding Pod is garbage collected. Common Use Cases DaemonSets are typically employed for clus ...

Kubernetes Environment Planning Pod Network (podSubnet): 10.244.0.0/16 Service Network (serviceSubnet): 10.96.0.0/12 Lab Environment Specifications: Operating System: CentOS 7.5 Configuration: 2GB RAM / 4 vCPU / 50GB HDD Initializing the Kubernetes Cluster Environment First, set up the production environment server. Later, node environments can ...

Determine the type of upgrade: patch version (e.g., v1.12.0 → v1.12.7) or minor vertion (e.g., v1.12.7 → v1.13.0). Only upgrades between adjacent minor versions are supported. Configure Kubernetes Package Repositories If repositories are already configured, skip this step. Debian/Ubuntu apt-get update && apt-get install -y apt-transport ...

Batch workloads, often referred to as offline computing tasks, differ fundamentally from long-running services. Unlike deployments that maintain a specific number of replicas indefinitely, batch processes execute a specific task and terminate upon completion. Managing such transient workloads with standard controllers like Deployment leads to u ...