Start jenkins-get-started-vm na azure.
Login to Jenkins: http://20.121.252.249:8080/
Run mode_train_local_save_azure on Jenkins.
Pass git project as parameter: https://github.com/flavio185/ml-salary-predict.git
Check Logs.
Go to Jobs.
Go to Jenkins.
Create GKE - Google Kubernetes Engine.
Go to GKE to validate.: https://console.cloud.google.com/kubernetes/list/overview?project=mlopscase
#configure kubectl ssh azureuser@20.121.252.249
Criado GKE Cluster.
Criado 3 nodes conforme padrão GKE.
Go to Jenkins
conteinerize-ml-model - Deixa o modelo preparado para deploy onde for necessário.
deloy_to_gke - Envia imagem para gke e faz o deploy
Accesso ao workspace para validação. https://console.cloud.google.com/kubernetes/workload/overview?project=mlopscase
Get service ip for testing.