zhangshenghang opened a new issue, #10927:
URL: https://github.com/apache/seatunnel/issues/10927

   ### Motivation
   
   SeaTunnel users increasingly run workloads on Kubernetes, including managed 
Kubernetes services provided by different cloud vendors. It would be helpful to 
enrich the Kubernetes documentation so users can more easily deploy, configure, 
operate, and troubleshoot SeaTunnel in these environments.
   
   ### Proposed documentation improvements
   
   Add or expand Kubernetes-related documentation covering:
   
   - A clear end-to-end deployment guide for running SeaTunnel on Kubernetes.
   - Recommended configuration patterns for ConfigMap, Secret, ServiceAccount, 
RBAC, resource requests/limits, and environment variables.
   - Connector/plugin management in Kubernetes environments, including how to 
package or mount connector dependencies.
   - Networking and service exposure guidance for common deployment modes.
   - Storage and state-related considerations, such as checkpoint/state paths, 
persistent volumes, and object storage integration where applicable.
   - Observability and troubleshooting guidance, including logs, metrics, 
common startup failures, permission issues, image/plugin loading issues, and 
job submission failures.
   - Production-readiness notes such as image versioning, upgrade strategy, 
high availability, and resource planning.
   
   ### Managed Kubernetes platforms to consider
   
   The documentation could include vendor-specific notes or examples for major 
Kubernetes platforms, for example:
   
   - Amazon EKS
   - Google Kubernetes Engine (GKE)
   - Azure Kubernetes Service (AKS)
   - Alibaba Cloud Container Service for Kubernetes (ACK)
   - Tencent Kubernetes Engine (TKE)
   - Huawei Cloud CCE
   - Volcengine VKE
   - Red Hat OpenShift
   
   The goal does not need to be a full separate guide for every platform at 
first. A cloud-neutral guide plus concise platform-specific differences, 
prerequisites, and known caveats would already be very valuable.
   
   ### Expected benefit
   
   This would lower the adoption barrier for users running SeaTunnel in 
cloud-native environments and reduce repeated deployment/troubleshooting 
questions around Kubernetes.
   


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