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See how to implement a GitHub-based DevSecOps pipeline that can validate and deploy infrastructure as code (IaC) to Azure.

Evaluate analytical data store options in Microsoft Fabric based on data volumes, types, compute engine, ingestion, transformation, and query patterns.

Learn about the triage step, in which you examine the health of Azure Kubernetes Service (AKS) worker nodes and pods and resolve problems.

Learn how to modernize mainframe computer systems that run Adabas & Natural and move them to the cloud.

Learn how to build a simple system to generate documents. It combines retrieval, summarization, and generation to support faster document drafting by using AI.

Understand networking options to help securely access the Kubernetes API server, and compare options in Amazon EKS and Azure Kubernetes Service (AKS).

Learn about multiple-region architectures and how you can use them to deploy web apps across multiple regions for disaster recovery and replication.

Reference architecture for a workload that is accessed over a public endpoint without extra dependencies to other company resources – Health modeling.

Networking decisions for the architecture of a mission-critical workload on Azure.

Reference architecture for a workload that is accessed over a public endpoint without extra dependencies to other company resources – Deployment and Testing.

Guidance for operations for the architecture of a mission-critical workload on Azure.

Learn how to use Azure Kubernetes Service to host GPU-based workloads, including machine learning, deep learning, and high-performance computing (HPC) workloads.