Project User Guide
In KubeSphere, project users with necessary permissions are able to perform a series of tasks, such as creating different kinds of workloads, configuring volumes, secrets, and ConfigMaps, setting various release strategies, monitoring app metrics, and creating alerting policies. As KubeSphere features great flexibility and compatibility without any code hacking into native Kubernetes, it is very convenient for users to get started with any feature required for their testing, development and production environments.
Application Workloads
Deployments
Learn basic concepts of Deployments and how to create Deployments in KubeSphere.
StatefulSets
Learn basic concepts of StatefulSets and how to create StatefulSets in KubeSphere.
DaemonSets
Learn basic concepts of DaemonSets and how to create DaemonSets in KubeSphere.
Jobs
Learn basic concepts of Jobs and how to create Jobs in KubeSphere.
CronJobs
Learn basic concepts of CronJobs and how to create CronJobs in KubeSphere.
Services
Learn basic concepts of Services and how to create Services in KubeSphere.
Ingress
Learn basic concepts of Routes (i.e. Ingress) and how to create Routes in KubeSphere.
Container Image Settings
Learn different properties on the dashboard in detail as you set container images for your workload.
Custom Application Monitoring
Introduction
Introduce the KubeSphere custom monitoring feature and metric exposing, including exposing methods and ServiceMonitor CRD.
Get Started
Monitor MySQL
Deploy MySQL and MySQL Exporter and create a dashboard to monitor the app.
Monitor Sample Web
Use a Helm chart to deploy a sample web app and create a dashboard to monitor the app.
Visualization
Overview
Understand the general steps of creating a monitoring dashboard as well as its layout.
Panels
Explore dashboard properties and chart metrics.
Querying
Learn how to specify monitoring metrics.
Alerting
Alerting Policy (Workload Level)
Learn how to set alerting policies for workloads.
Alerting Message (Workload Level)
Learn how to view alerting policies for workloads.