This article details how to establish a secure MLOps environment using Azure ML infrastructure. It focuses on setting up robust security measures for researchers, covering aspects from development to deployment. The guide emphasizes best practices for managing sensitive data and models within the Azure ecosystem. AI
IMPACT Guides researchers and DevOps professionals on implementing secure MLOps practices within the Azure ecosystem.
RANK_REASON The article provides a technical guide on setting up infrastructure for MLOps, focusing on a specific cloud platform (Azure ML).
- Azure
- Azure Container Registry
- Azure Key Vault
- Azure Kubernetes Service
- Azure ML
- Azure Monitor
- Azure Policy
- Docker
- Kubernetes
- Microsoft
- Microsoft Entra ID
- Python
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