Thanks for asking. I am planning to write another blog post dedicated fully to the setup of the cluster itself. For now, I will answer here your questions:
- Since the Pi boards are not so powerful (4 cores/1Gb RAM) just the monitoring takes most of the resources. But still I can deploy small Golang/Python apps. Currently I have 3 OrangePi Boards and 1 RaspberryPi as master node. I have still about half of the memory available in each node so ~450Mi free RAM. On the CPU side, only the master node is constantly using more than half of the available CPU cores.
- I actually run into problems due to the amount of logs done by the Kubernetes components. The partition dedicated to log files was constantly getting full. Then after proper configuration of logrotate it started to be health. Another interesting problem I had was Orphaned Pods. I still don't know the reason for that. To fix this, I had to add some `rm` commands cleaning the directories of old Orphan Pods.
- Since the Pi boards are not so powerful (4 cores/1Gb RAM) just the monitoring takes most of the resources. But still I can deploy small Golang/Python apps. Currently I have 3 OrangePi Boards and 1 RaspberryPi as master node. I have still about half of the memory available in each node so ~450Mi free RAM. On the CPU side, only the master node is constantly using more than half of the available CPU cores.
- I actually run into problems due to the amount of logs done by the Kubernetes components. The partition dedicated to log files was constantly getting full. Then after proper configuration of logrotate it started to be health. Another interesting problem I had was Orphaned Pods. I still don't know the reason for that. To fix this, I had to add some `rm` commands cleaning the directories of old Orphan Pods.