AzureFeeds

Learn about how to manage both new model versions and retired model versions in your generative AI application infrastructure.

Learn how the digital transformation architecture extends mainframe applications to Azure without disruptions or modifications to existing applications.

Learn about online analytical processing solutions to organize large databases and support complex analysis without affecting transactional systems.

Learn how to migrate stateless and stateful workloads from Amazon Elastic Kubernetes Service (EKS) to Azure Kubernetes Service (AKS).

Understand Kubernetes cluster and workload costs, learn how to optimize and govern costs, and compare AKS and Amazon EKS options.

Learn how to implement advanced monitoring scenarios for Azure OpenAI, like chargeback and auditing, through accessing the Azure OpenAI Service through a gateway.

Use SMA Technologies OpCon in a Kubernetes configuration to automate Azure and on-premises workloads that run on various servers across an enterprise.

Learn how to incrementally migrate a legacy system by gradually replacing specific pieces of functionality with new applications and services.

Learn about the considerations and recommendations for improved security that you should consider when you design a multitenant RAG inferencing solution.

Learn how to combine the existing investment of small and medium businesses in Azure Databricks with Microsoft Fabric.

Use the Saga design pattern to ensure data consistency on distributed transactions in microservices architectures.

Learn how embeddings work, how to choose an embedding model, and how your embedding model can affect your vector search results.