autotune
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Autonomous Performance Tuning for Kubernetes!
As part of the productization we need to have the datasource design doc in place to proceed with it's development
- [ ] #477 - [ ] #478 - [ ] Higher level abstraction of metrics classification based on cpu/mem, JVM, throughput, response time - [ ] #479 - [...
Implement workflow and custom workflow using abstraction Workflow should handle pre validate Deploy post validate Collect metrics Summarize details
Implement a Health Check to ensure that everything in the environment is in working order..
After analysis decide if getting Kube client have to be Singleton.
Implement initialize method for Target Handler abstraction
Remove Kube client from AutotuneDeployment.java so that modules are loosely coupled with java Kube client.
Implement EM Metrics handler to: - Call the metrics abstraction - Call Summarizer ( that computes min, max, % ) & post results to Analyzer
Update createExperimentHandler to handle deployments
Currently UI module talks to autotune via API's and UI call is getting failed due to CORS exception. We need to fix it by allowing particular methods (Http actions) to...