Designing Microsoft Azure Infrastructure Solutions

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Related Course
Durations: 5 Days

Level: Expert

Durations: 3 Days

Designing Microsoft Azure Infrastructure Solutions

Course Overview:

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

Course Objectives:

  • Design a governance solution.
  • Design a compute solution.
  • Design an application architecture.
  • Design storage, non-relational and relational.
  • Design data integration solutions.

Who Should Attend?

Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions. Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:

  • Azure compute technologies such as VMs, containers and serverless solutions
  • Azure virtual networking to include load balancers
  • Azure Storage technologies (unstructured and databases)
  • General application design concepts such as messaging and high availability

Course Prerequisites

There are no prerequisites for this course.

Course Content:

Module 1: Design governance

Design for governance.
Design for management groups.
Design for Azure subscriptions.
Design for resource groups.
Design for resource tagging.
Design for Azure policy.
Design for Azure role-based access control.
Design for Azure Blueprints.

Module 2: Design an Azure compute solution

Choose a compute service.
Design for Azure virtual machines solutions.
Design for Azure Batch solutions.
Design for Azure App Services solutions.
Design for Azure Container Instances solutions.
Design for Azure Kubernetes Service solutions.
Design for Azure Function solutions.
Design for Azure Logic App solutions.

Module 3: Design a data storage solution for non-relational data

Design for data storage.
Design for Azure storage accounts.
Design for Azure Blob Storage.
Design for data redundancy.
Design for Azure Files.
Design for Azure managed disks.
Design for storage security.

Module 4: Design a data storage solution for relational data

Design for Azure SQL Database.
Design for Azure SQL Managed Instance.
Design for SQL Server on Azure Virtual Machines.
Recommend a solution for database scalability.
Recommend a solution for database availability.
Design protection for data at rest, data in transmission, and data in use.
Design for Azure SQL Edge.
Design for Azure Cosmos DB.
Design for Azure Table Storage.

Module 5: Design data integration

Design a data integration solution with Azure Data Factory.
Design a data integration solution with Azure Data Lake.
Design a data integration and analytics solution with Azure Databricks.
Design a data integration and analytics solution with Azure Synapse Analytics.
Design a strategy for hot/warm/cold data path.
Design Azure Stream Analytics solution for Data Analysis.

Module 6: Design an application architecture

Describe message and event scenarios.
Design a messaging solution.
Design an Event Hub messaging solution.
Design an event-driven solution.
Design an automated app deployment solution.
Design API integration.
Design an application configuration management solution.
Design a caching solution.

Module 7: Design authentication and authorization solutions

Design for identity and access management.
Design for Azure Active Directory.
Design for Azure Active Directory business-to-business (B2B).
Design for Azure Active Directory B2C (business-to-customer).
Design for conditional access.
Design for identity protection.
Design for access reviews.
Design for managed identities.
Design for service principals for applications.
Design for Azure Key Vault.

Module 8: Design a solution to log and monitor Azure resources

Design for Azure Monitor data sources
Design for Azure Monitor Logs (Log Analytics) workspaces
Design for Azure Workbooks and Azure insights
Design for Azure Data Explorer

Module 9: Design network solutions

Recommend a network architecture solution based on workload requirements
Design for on-premises connectivity to Azure Virtual Networks
Design for Azure network connectivity services
Design for application delivery services
Design for application protection services

Module 10: Design a solution for backup and disaster recovery

Design for backup and recovery.
Design for Azure Backup.
Design for Azure blob backup and recovery.
Design for Azure Files backup and recovery.
Design for Azure virtual machine backup and recovery.
Design for6 Azure SQL backup and recovery.
Design for Azure Site Recovery.

Module 11: Design migrations

Evaluate migration with the Cloud Adoption Framework.
Describe the Azure Migration Framework.
Assess your on-premises workloads.
Select a migration tool.
Migrate your databases.
Select an online storage migration tool.
Migrate offline data.

Module 12: Build great solutions with the Microsoft Azure Well-Introduction to the Microsoft Azure Well-Architected Framework
Microsoft Azure Well-Architected Framework – Cost Optimization
Microsoft Azure Well-Architected Framework – Operational excellence
Microsoft Azure Well-Architected Framework – Performance efficiency
Microsoft Azure Well-Architected Framework – Reliability
Microsoft Azure Well-Architected Framework – Security


Module 13: Accelerate cloud adoption with the Microsoft Cloud Adoption Framework for Azure
Getting started with the Microsoft Cloud Adoption Framework for Azure
Prepare for successful cloud adoption with a well-defined strategy
Prepare for cloud adoption with a data-driven plan
Choose the best Azure landing zone to support your requirements for cloud operations
Migrate to Azure through repeatable processes and common tools
Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure
Ensure stable operations and optimization across all supported workloads deployed to the cloud
Innovate applications by using Azure cloud technologies
Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure

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