Capability Level 5 - AutoPilot

[jsenko]

Auto-scaling

• Operator can scale the operand up/out
• Operator can scale the operand down/in

Auto-Healing

• Operator can automatically heal an unhealthy operand

Auto-tuning

• Operator is able to tune the operand for ideal performance

Workload optimization

• Operator dynamically shift workloads onto the best suited nodes

Abnormality detection

• Operator is able to learn the normal performance patterns of operand
• Operator is able to detect abnormalities outside of normal patterns

Tasks

• [ ] Can your operator read metrics such as requests per second or other relevant metrics and auto-scale horizontally or vertically, i.e., increasing the number of pods or resources used by pods?
• [ ] Based on question number 1 can it scale down or decrease the number of pods or the total amount of resources used by pods?
• [ ] Based on the deep insights built upon level 4 capabilities can your operator determine when an operand became unhealthy and take action such as redeploying, changing configurations, restoring backups etc.?
• [ ] Again considering that with level 4 deep insights the operator has information to learn the performance baseline dynamically and can learn the best configurations for peak performance can it adjust the configurations to do so?
• [ ] Can it move the workloads to better nodes to do so?
• [ ] Can it detect and alert when anything is working below the learned performance baseline that can’t be corrected automatically?

[jsenko]

Includes #21