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Second article in a series covering disaster recovery for an Azure data platform

Compare Azure data and AI services to corresponding AWS services. Understand key differences in data integration, analytics, machine learning, and AI capabilities.

Learn techniques for using GitOps principles to operate and manage an Azure Kubernetes Services (AKS) cluster. The solutions use Flux v2 and Argo CD.

Learn from a first-hand account about the journey and decisions that made Microsoft Dynamics 365 a successful SaaS product.

View guidance for how to separate data partitions to be managed and accessed separately. Understand horizontal, vertical, and functional partitioning strategies.

Learn about background tasks that run independently of the user interface, such as batch jobs, intensive processing tasks, and long-running processes.

Avoid continually creating new instances of an object that is meant to be created once and then shared.

View guidance on separating data partitions to be managed and accessed separately in different services, such as Azure AI Search, Azure storage queues, and more.

Learn how to track how users use your distributed applications and services, trace resource utilization, and monitor the health and performance.

Learn about good API design in a microservices architecture. APIs should be efficient and have well-defined semantics and versioning schemes.

Learn about the reference architecture for the recommended baseline infrastructure that deploys an Azure Kubernetes Service (AKS) cluster.

Learn how to deploy Azure OpenAI models and work with the features associated with each model when you have a multitenant system.