employee-retention-databricks-kubernetes.pptx

Microsoft Kubernetes Diagram

1. Machine -l earning t eams External t eams Development Deployment External a pplication Platform Azure Kubernetes Service Azure API M anagement Azure Key Vault Azure Monitor Azure Databricks Azure Data Lake Gen2 M achine L earning flow t racking s erver Azure Cost Management Microsoft Entra ID Azure Container Registry Call API Source data Track experiments and register models Collect metrics and logs Containerize model Deploy container Azure Application Gateway Microsoft Defender for Cloud Azure DevOps and GitHub

2. Develop Build Deploy Staging Monitor Production Azure Databricks GitHub repositories GitHub Actions Azure Container Registry GitHub Actions Azure Kubernetes Service GitHub Actions Azure Kubernetes Service Azure Monitor Azure Log Analytics w orkspace Use metrics and logs to determine when model retraining needs to occur . Manual approval check Trigger on push or pull request