autotune
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Autonomous Performance Tuning for Kubernetes!
EM currently is designed to handle the following use cases. Json template with necessary PR will be created here. A/B testing Who: Dev Where: Part of the CI/CD pipeline Trigger:...
Currently the `mvp_demo` branch is returning a sample metric JSON on calling the listTrialStatus API. The sample metrics to be replaced with real metrics data which is collected by the...
Create scheduler to dequeue task Find iteration count Fetch each trail Spawn IterationManager for each iteration
1.1 create Local storage MAP to store experiments and writes some convince method to fetch experiment details ExperimentDetails ConcurrentHashMap - experimentNameMap getAllexperiments() getExperiment(String expName) getExperiment(String expename,int trailNo) getExperimentTrialStatus(String expename,int trailNo)...
Included EM tests to test rolling update deployment
Currently if any tunable is changed in yaml where autotune might not understand how to handle it the pod restart fails, so adding them in a stage by stage fashion...