Welcome | About | OKD 4.14

Cluster installer activities
Other cluster installer activities
Developer activities
Cluster administrator activities

Welcome to the official OKD 4.14 documentation, where you can learn about OKD and start exploring its features.

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Cluster installer activities

Explore the following OKD installation tasks:

OKD installation overview: Depending on the platform, you can install OKD on installer-provisioned or user-provisioned infrastructure. The OKD installation program provides the flexibility to deploy OKD on a range of different platforms.
Install a cluster on Alibaba: On Alibaba Cloud, you can install OKD on installer-provisioned infrastructure. This is currently a Technology Preview feature only.
Install a cluster on AWS: On AWS, you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure.
Install a cluster on Azure: On Microsoft Azure, you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure.
Install a cluster on Azure Stack Hub: On Microsoft Azure Stack Hub, you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure.
Install a cluster on GCP: On Google Cloud Platform (GCP) you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure.
Install a cluster on VMware vSphere: You can install OKD on vSphere by using installer-provisioned infrastructure. Installer-provisioned infrastructure allows the installation program to preconfigure and automate the provisioning of resources required by OKD.
Installing a cluster on VMware vSphere with user-provisioned infrastructure: You can install OKD on vSphere by using user-provisioned infrastructure. User-provisioned infrastructure requires the user to provision all resources required by OKD.
Install a cluster on bare metal: On bare metal, you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure. If none of the available platform and cloud provider deployment options meet your needs, consider using the bare metal user-provisioned infrastructure route.
Install a cluster on OpenStack: On OpenStack, you can install OKD on installer-provisioned infrastructure or user-provisioned infrastructure.
Install a cluster on Nutanix: On Nutanix, you can install a cluster on your OKD on installer-provisioned infrastructure.

Other cluster installer activities

Install a cluster in a restricted network: If your cluster that uses user-provisioned infrastructure on AWS, GCP, or bare metal does not have full access to the internet, then mirror the OKD installation images and install a cluster in a restricted network.
Install a cluster in an existing network: If you use an existing Virtual Private Cloud (VPC) in AWS or GCP or an existing VNet on Microsoft Azure, you can install a cluster. Also consider Installing a cluster on GCP into a shared VPC
Install a private cluster: If your cluster does not require external internet access, you can install a private cluster on AWS, Azure, GCP, or IBM Cloud®. Internet access is still required to access the cloud APIs and installation media.
Check installation logs: Access installation logs to evaluate issues that occur during OKD installation.
Access OKD: Use credentials output at the end of the installation process to log in to the OKD cluster from the command line or web console.
Install Red Hat OpenShift Data Foundation: You can install Red Hat OpenShift Data Foundation as an Operator to provide highly integrated and simplified persistent storage management for containers.
Fedora CoreOS (FCOS) image layering: As a post-installation task, you can add new images on top of the base FCOS image. This layering does not modify the base FCOS image. Instead, the layering creates a custom layered image that includes all FCOS functions and adds additional functions to specific nodes in the cluster.

Developer activities

Develop and deploy containerized applications with OKD. OKD is a platform for developing and deploying containerized applications. Read the following OKD documentation, so that you can better understand OKD functions:

Understand OKD development: Learn the different types of containerized applications, from simple containers to advanced Kubernetes deployments and Operators.
Work with projects: Create projects from the OKD web console or OpenShift CLI (oc) to organize and share the software you develop.
Creating applications using the Developer perspective: Use the Developer perspective in the OKD web console to easily create and deploy applications.
Viewing application composition using the Topology view: Use the Topology view to visually interact with your applications, monitor status, connect and group components, and modify your code base.
Understanding Service Binding Operator: With the Service Binding Operator, an application developer can bind workloads with Operator-managed backing services by automatically collecting and sharing binding data with the workloads. The Service Binding Operator improves the development lifecycle with a consistent and declarative service binding method that prevents discrepancies in cluster environments.
Create CI/CD Pipelines: Pipelines are serverless, cloud-native, continuous integration and continuous deployment systems that run in isolated containers. Pipelines use standard Tekton custom resources to automate deployments and are designed for decentralized teams that work on microservice-based architecture.
Manage your infrastructure and application configurations: GitOps is a declarative way to implement continuous deployment for cloud native applications. GitOps defines infrastructure and application definitions as code. GitOps uses this code to manage multiple workspaces and clusters to simplify the creation of infrastructure and application configurations. GitOps also handles and automates complex deployments at a fast pace, which saves time during deployment and release cycles.
Deploy Helm charts: Helm is a software package manager that simplifies deployment of applications and services to OKD clusters. Helm uses a packaging format called charts. A Helm chart is a collection of files that describes the OKD resources.
Understand image builds: Choose from different build strategies (Docker, S2I, custom, and pipeline) that can include different kinds of source materials, such as Git repositories, local binary inputs, and external artifacts. You can follow examples of build types from basic builds to advanced builds.
Create container images: A container image is the most basic building block in OKD and Kubernetes applications. By defining image streams, you can gather multiple versions of an image in one place as you continue to develop the image stream. With S2I containers, you can insert your source code into a base container. The base container is configured to run code of a particular type, such as Ruby, Node.js, or Python.
Create deployments: Use Deployment objects to exert fine-grained management over applications. Deployments create replica sets according to the rollout strategy, which orchestrates pod lifecycles.
Create templates: Use existing templates or create your own templates that describe how an application is built or deployed. A template can combine images with descriptions, parameters, replicas, exposed ports and other content that defines how an application can be run or built.
Understand Operators: Operators are the preferred method for creating on-cluster applications for OKD 4.14. Learn about the Operator Framework and how to deploy applications by using installed Operators into your projects.
Develop Operators: Operators are the preferred method for creating on-cluster applications for OKD 4.14. Learn the workflow for building, testing, and deploying Operators. You can then create your own Operators based on Ansible or Helm, or configure built-in Prometheus monitoring by using the Operator SDK.
Reference the REST API index: Learn about OKD application programming interface endpoints.

Cluster administrator activities

Manage machines, provide services to users, and follow monitoring and logging reports. Read the following OKD documentation, so that you can better understand OKD functions:

Understand OKD management: Learn about components of the OKD 4.14 control plane. See how OKD control plane and compute nodes are managed and updated through the Machine API and Operators.
Enable cluster capabilities: As a cluster administrator, you can enable cluster capabilities that were disabled prior to installation.

Manage cluster components

Manage machines: Manage compute and control plane machines in your cluster with machine sets, by deploying health checks, and applying autoscaling.
Manage container registries: Each OKD cluster includes a built-in container registry for storing its images. You can also configure a separate Red Hat Quay registry to use with OKD. The Quay.io website provides a public container registry that stores OKD containers and Operators.
Manage users and groups: Add users and groups with different levels of permissions to use or modify clusters.
Manage authentication: Learn how user, group, and API authentication works in OKD. OKD supports multiple identity providers.
Manage ingress, API server, and service certificates: OKD creates certificates by default for the Ingress Operator, the API server, and for services needed by complex middleware applications that require encryption. You might need to change, add, or rotate these certificates.
Manage networking: The cluster network in OKD is managed by the Cluster Network Operator (CNO). The CNO uses iptables rules in kube-proxy to direct traffic between nodes and pods running on those nodes. The Multus Container Network Interface adds the capability to attach multiple network interfaces to a pod. By using network policy features, you can isolate your pods or permit selected traffic.
Manage storage: With OKD, a cluster administrator can configure persistent storage by using Red Hat OpenShift Data Foundation, AWS Elastic Block Store, NFS, iSCSI, Container Storage Interface (CSI), and more. You can expand persistent volumes, configure dynamic provisioning, and use CSI to configure, clone, and use snapshots of persistent storage.
Manage Operators: Lists of Red Hat, ISV, and community Operators can be reviewed by cluster administrators and installed on their clusters. After you install them, you can run, upgrade, back up, or otherwise manage the Operator on your cluster.
Understanding Windows container workloads. You can use the Red Hat OpenShift support for Windows Containers feature to run Windows compute nodes in an OKD cluster. This is possible by using the Red Hat Windows Machine Config Operator (WMCO) to install and manage Windows nodes.

Change cluster components

Use custom resource definitions (CRDs) to modify the cluster: Cluster features implemented with Operators can be modified with CRDs. Learn to create a CRD and manage resources from CRDs.
Set resource quotas: Choose from CPU, memory, and other system resources to set quotas.
Prune and reclaim resources: Reclaim space by pruning unneeded Operators, groups, deployments, builds, images, registries, and cron jobs.
Scale and tune clusters: Set cluster limits, tune nodes, scale cluster monitoring, and optimize networking, storage, and routes for your environment.
Update a cluster: Use the Cluster Version Operator (CVO) to upgrade your OKD cluster. If an update is available from the OpenShift Update Service (OSUS), you apply that cluster update from the OKD web console or the OpenShift CLI (oc).
Using the OpenShift Update Service in a disconnected environment: Learn about installing and managing a local OpenShift Update Service for recommending OKD updates in disconnected environments.
Improving cluster stability in high latency environments by using worker latency profiles: If your network has latency issues, you can use one of three worker latency profiles to help ensure that your control plane does not accidentally evict pods in case it cannot reach a worker node. You can configure or modify the profile at any time during the life of the cluster.

Monitor the cluster

OpenShift Logging: Learn about logging and configure different logging components, such as log storage, log collectors, and the logging web console plugin.
Red Hat OpenShift distributed tracing platform: Store and visualize large volumes of requests passing through distributed systems, across the whole stack of microservices, and under heavy loads. Use the distributed tracing platform for monitoring distributed transactions, gathering insights into your instrumented services, network profiling, performance and latency optimization, root cause analysis, and troubleshooting the interaction between components in modern cloud-native microservices-based applications.

Red Hat build of OpenTelemetry: Instrument, generate, collect, and export telemetry traces, metrics, and logs to analyze and understand your software’s performance and behavior. Use open source backends like Tempo or Prometheus, or use commercial offerings. Learn a single set of APIs and conventions, and own the data that you generate.
Network Observability: Observe network traffic for OKD clusters by using eBPF technology to create and enrich network flows. You can view dashboards, customize alerts, and analyze network flow information for further insight and troubleshooting.
In-cluster monitoring: Learn to configure the monitoring stack. After configuring monitoring, use the web console to access monitoring dashboards. In addition to infrastructure metrics, you can also scrape and view metrics for your own services.
Remote health monitoring: OKD collects anonymized aggregated information about your cluster. By using Telemetry and the Insights Operator, this data is received by Red Hat and used to improve OKD. You can view the data collected by remote health monitoring.
Power monitoring for Red Hat OpenShift (Technology Preview): You can use power monitoring for Red Hat OpenShift to monitor the power usage and identify power-consuming containers running in an OKD cluster. Power monitoring collects and exports energy-related system statistics from various components, such as CPU and DRAM. Power monitoring provides granular power consumption data for Kubernetes pods, namespaces, and nodes.

OKD 4.14 Documentation