Automate CPU/memory recommendations and optimize your applications
Magalix can automate the resources allocation to optimize your Kubernetes. Resources Magalix Advisor scans on a daily basis your resources and provide recommendations to adjust allocated resources. You can apply those recommendations from the Magalix console.
Step 1 - Select Recommendations
Select changes that you would like to apply at the automation page under your clusters.
- Recommendations execution is idempotent. You can apply recommendations as many times as you want.
- You can execute only the latest generated recommendations. You cannot apply an old recommendation once a new one is generated.
Step 2 - Confirm Changes
Confirm your selection to start applying your changes.
Step 3 - Monitor Execution Status
You will automatically get directed to the execution log page to see the progress of changes you selected to apply.
- Recommendations are executed in serial. The Magalix agent won't start an execution of a change unless the previous one is applied and the target pod is back to running state.
- You can stop execution of recommendations that are not executed yet, i.e. in queue state.
Magalix does not have an undo or revert back feature yet of any executed recommendation.