IBM Cloud Private 3.1.1 EE安装错误

时间:2018-11-30 20:37:58

标签: installation ibm-cloud-private

我正在具有以下组件的实验室环境中全新安装IBM Cloud Private 3.1.1:

  • 1个引导节点
  • 1个主节点
  • 1个代理节点
  • 1个工作人员
  • 1个管理节点
  • 1个VA节点
  • 1个etcd节点

安装在以下任务中失败:“附件:安装日志记录图”。

所有节点都在使用Ubuntu 16,并且安装是使用root用户凭据从引导节点启动的

查看分till日志,我发现:

[tiller] 2018/11/30 12:30:44 executing 7 post-install hooks for logging
[tiller] 2018/11/30 12:30:44 deleting post-install hook logging-elk-elasticsearch-tls-init for release logging due to "before-hook-creation" policy
[kube] 2018/11/30 12:30:44 Starting delete for "logging-elk-elasticsearch-tls-init" Job
[kube] 2018/11/30 12:30:44 Using reaper for deleting "logging-elk-elasticsearch-tls-init"
[kube] 2018/11/30 12:30:44 building resources from manifest
[kube] 2018/11/30 12:30:44 creating 1 resource(s)
[kube] 2018/11/30 12:30:44 Watching for changes to Job logging-elk-elasticsearch-tls-init with timeout of 10m0s
[kube] 2018/11/30 12:30:44 Add/Modify event for logging-elk-elasticsearch-tls-init: ADDED
[kube] 2018/11/30 12:30:44 logging-elk-elasticsearch-tls-init: Jobs active: 0, jobs failed: 0, jobs succeeded: 0
[kube] 2018/11/30 12:30:44 Add/Modify event for logging-elk-elasticsearch-tls-init: MODIFIED
[kube] 2018/11/30 12:30:44 logging-elk-elasticsearch-tls-init: Jobs active: 1, jobs failed: 0, jobs succeeded: 0
[tiller] 2018/11/30 12:38:53 warning: Release logging post-install ibm-icplogging/templates/es-searchguard-init-job.yaml could not complete: watch closed before Until timeout
[tiller] 2018/11/30 12:38:53 warning: Release "logging" failed post-install: watch closed before Until timeout
[storage] 2018/11/30 12:38:53 updating release "logging.v1"
[tiller] 2018/11/30 12:38:53 failed install perform step: watch closed before Until timeout

任何建议都会很好。

1 个答案:

答案 0 :(得分:0)

您是否已遵循系统要求? https://www.ibm.com/support/knowledgecenter/SSBS6K_3.1.1/supported_system_config/hardware_reqs.html

*其他问题: 要解决OOM(OutOfMemory)问题,我们可以尝试将 elasticsearch 的限制和Java选项(ES_JAVA_OPTS)都加倍,您可以运行以下命令:

kubectl edit -n kube-system statefulset logging-elk-data

然后将参数加倍。