Long-Term Supported Versions

Automatic Deployment

Manual deployment of Kubernetes clusters requires manually deploying various components. This is both time- and labor-consuming, especially during large scale Kubernetes cluster deployment, as low efficiency and errors are likely to surface. To solve the problem, openEuler launched the Kubernetes cluster deployment tool in version 21.09. This highly flexible tool provides functions such as automatic deployment and deployment process tracking of large scale Kubernetes clusters.

The following describes the usage of the Kubernetes cluster automatic deployment tool.

Architecture Overview

The overall architecture of automatic cluster deployment is shown in the figure above. The modules are described as follows:

GitOps: Responsible for cluster configuration management, such as updating, creating, and deleting configurations.The cluster management function is not provided in version 21.09.
InitCluster: The meta cluster, which functions as the central cluster to manage the other service clusters.
eggops: Custom Resource Definitions (CRDs) and controllers used to abstract the Kubernetes clusters.
master: The master node of Kubernetes, which provides the control plane of the cluster.
worker: The load node of Kubernetes , which carries user services.
ClusterA, ClusterB, and ClusterC: service clusters, which carry user services.

If you are interested in the Kubernetes cluster deployment tool provided by openEuler, visit https://gitee.com/openeuler/eggo.

Bug Catching

Buggy Content

Bug Description

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Bug Type

Specifications and Common Mistakes

● Misspellings or punctuation mistakes;

● Incorrect links, empty cells, or wrong formats;

● Chinese characters in English context;

● Minor inconsistencies between the UI and descriptions;

● Low writing fluency that does not affect understanding;

● Incorrect version numbers, including software package names and version numbers on the UI.

Usability

● Incorrect or missing key steps;

● Missing prerequisites or precautions;

● Ambiguous figures, tables, or texts;

● Unclear logic, such as missing classifications, items, and steps.

Correctness

● Technical principles, function descriptions, or specifications inconsistent with those of the software;

● Incorrect schematic or architecture diagrams;

● Incorrect commands or command parameters;

● Incorrect code;

● Commands inconsistent with the functions;

● Wrong screenshots.

Risk Warnings

● Lack of risk warnings for operations that may damage the system or important data.

Content Compliance

● Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions;

● Copyright infringement.

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