Technologies / Architecture

Architecting Microsoft Azure Solutions

This course is designed for architects who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have an in-depth knowledge of most services offered on the Azure platform. Students typically work in organizations that have an active solution on the Azure platform and plan to enhance existing solutions or deploy more solutions on the Azure platform. This course is also designed for architects who want to take the Microsoft certification exam, 70-535, Architecting Microsoft Azure Solutions

Why choose this training?

Growing market demands mean that, technical competencies have become a critical asset. This course is designed for architects who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have an in-depth knowledge of most services offered on the Azure platform.

Upon completion, participants will be able to: Describe the components of the Azure platform architecture, including infrastructure, tools and portals., Create and deploy Azure Resource Manager (ARM) templates for various end-to-end solutions., Compare and contrast various infrastructure, serverless, database and communication services; such as App Services, Virtual Machine Scale Sets, Azure Cosmos DB, SQL Database and Container Service in Azure., Incorporate various Azure platform services such as Cognitive Services and Media Servicers into the overall Azure solution.. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: This course is designed for students who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have an in-depth knowledge of most services offered on the Azure platform., For the interactive component, this course offers students the ability to deploy Azure solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags and role-based access control., This course does not require any direct experience in writing application code or configuring server machines. This course focuses on architectural comparisons between services and making the technical decisions necessary to implement well-designed solutions on the Azure platform. This course also prepares students for the 70-535: Architecting Microsoft Azure Solutions certification exam..

What makes our approach unique?

EITT combines theoretical knowledge with intensive practical workshops. Over 5 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

This training is part of the path:

DevOps Engineer IT Architect / Cloud Architect Programmer Systems Administrator FinOps Specialist (Cloud Cost Optimization)Solutions Architect

Benefits

Describe the components of the Azure platform architecture, including infrastructure, tools and portals.
Create and deploy Azure Resource Manager (ARM) templates for various end-to-end solutions.
Compare and contrast various infrastructure, serverless, database and communication services; such as App Services, Virtual Machine Scale Sets, Azure Cosmos DB, SQL Database and Container Service in Azure.
Incorporate various Azure platform services such as Cognitive Services and Media Servicers into the overall Azure solution.
Secure, monitor and backup solutions deployed in Azure.
Create automated DevOps solutions using a combination of ARM templates, configuration management tools, Azure CLI and Cloud Shell.

Who is this training for?

This course is designed for students who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have an in-depth knowledge of most services offered on the Azure platform.

For the interactive component, this course offers students the ability to deploy Azure solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags and role-based access control.

This course does not require any direct experience in writing application code or configuring server machines. This course focuses on architectural comparisons between services and making the technical decisions necessary to implement well-designed solutions on the Azure platform. This course also prepares students for the 70-535: Architecting Microsoft Azure Solutions certification exam.

Candidates included in this training have intermediate experience in designing, implementing and monitoring Azure solutions. Candidates are also proficient in the tools, techniques and approaches used to build solutions on the Azure platform.

Prerequisites

Create resources and resource groups on the Azure platform.
Manage users, groups, and subscriptions in an Azure Active Directory service instance.
Building an Azure platform virtual machine with associated resources.
Manage containers and blob objects stored in an Azure Storage service account.
Create App Service plans and manage the applications associated with the plan.
Configuring Azure platform virtual network and enabling S2S and P2S connectivity.
Protect network application components with network security groups.
Automate daily tasks related to Azure platform resources using the Azure platform command line interface or Azure PowerShell.
Implementing the occurrence of Azure SQL, MySQL, Postgres or Cosmos database.
Monitor existing Azure platform solutions using built-in metrics, Application Insights or Operational Insights service.

Training program

This module introduces and discusses typical Azure service patterns and architectures as recommended by the Microsoft Patterns & Practices team.
Each pattern is grouped into performance, resiliency and scalability categories and described in the context of similar patterns within the category.
Lessons
Pattern resources
Performance patterns
Resilience patterns
Scalability patterns
Data patterns
Upon completion of this module, students will be able to:
Find and refer to documentation of design patterns in the cloud.
Find and refer to the Azure Platform Architecture Center.
Describe the different patterns taken from the cloud design patterns.

This module provides a basic understanding of the Azure Resource Manager service and the basic concepts of deployments, resources, templates, resource groups and tags.
This module discusses in detail the automatic deployment of resources using ARM templates.
Lessons
ARM templates
Role-based access control (RBAC)
Resource principles
Security
Components
Lab: Introduction to the Azure Resource Manager service
Create groups of resources
Implementing an empty template
Implementing a simple template
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Create a resource group.
Add resources to a resource group.
Implement the ARM template in the resource group.
Filter resources using tags.
Create a complex deployment using Azure Building Blocks tools.

This module identifies workloads that are ideally deployed using Infrastructure-as-a-Service on Azure.
The module focuses on virtual machine scaling sets and virtual machine services on the Azure platform and how best to deploy workloads to these services using best practices and features such as availability sets.
Lessons
High availability
Template-based infrastructure
Machines connected to the domain
Lab: Deploying infrastructure workloads on the Azure platform
Deploying a virtual machine using PowerShell DSC
Deploy a virtual machine scaling kit using PowerShell DSC
Cleaning subscription
Upon completion of this module, students will be able to:
Design an availability set for one or more virtual machines
Describe the differences between error and update domains.
Create an ARM virtual machine scaling kit template.
Attach a virtual machine to a domain on the Azure platform or on a hybrid network.

This module describes services that use infrastructure, but manage the infrastructure on behalf of the user, rather than obscuring infrastructure resources.
The module focuses on PaaS options supported by the infrastructure, such as Azure Service Fabric, Container Service and App Service Environments.
The module will explore how to deploy custom workloads to these services, such as an HPC batch processing job.
Lessons
Platform as a Service supported by infrastructure (PaaS)
High performance computing (HPC)
Migration
Lab: deploying managed server workloads on the Azure platform
Create an Azure Container Service cluster
Deploy a Docker image
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Describe the differences between App Service, Service Fabric and Container Service environments.
Use Azure Batch to manage HPC workloads.
Perform a migration to an infrastructure-supported PaaS service from another IaaS or legacy cloud service.

This module describes how solutions can leverage serverless application hosting services in Azure to host web applications, REST APIs, integration workflows and HPC workloads without managing specific server resources.
The module focuses on App Services-related components such as web apps, API apps, mobile apps, logic apps and functions.
Lessons
Azure Web App
Azure Functions
Integration
High performance
Lab: Deploying serverless workloads in Azure service
Developing a web application
Implementing web application code
Implementing feature and code applications
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Choose between hosting application code or containers in an App Service instance.
Describe the differences between API, Mobile and Web applications.
Integrate the API or logic application with the API Management service.
Design an App Service plan or multi-region deployment to achieve high performance and scale.

This module describes how many Azure services use the Azure Storage service as a backup storage for other application solutions on the Azure platform.
This module discusses the critical issues of using Azure Storage as a complementary service for a comprehensive Azure solution.
Lessons
Price list
Blob object storage
Files
StorSimple
Lab: Deploying Azure Storage service to support other workloads on the Azure platform
Create the required resources for the virtual machine
Create a virtual machine with a storage account
Creating a virtual machine with a managed disk
Cleaning subscription
Upon completion of this module, students will be able to:
Determine the ideal pricing option for Azure Storage service based on solution requirements.
Identify performance thresholds for the Azure Storage service.
Specify the type of Storage service blob objects to be used for specific solution components.
Use the Azure Files service for SMB operations.
Identify solutions that could benefit from the use of physical or virtual StorSimple devices.

This module compares the various relational and non-relational storage options available in Azure.
The options are explored as groups, such as relational databases (Azure SQL Database, MySQL and PostgreSQL in Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake).
Lessons
Relational
NoSQL services
Azure Cosmos DB
Data storage
Data analysis
Lab: Deploying database instances in Azure
Implementing an occurrence of the CosmosDB database
REST API validation
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Compare and contrast different database options in Azure.
Identify streaming options for large-scale data acquisition.
Identify options for long-term data storage.

This module describes the various networking and connectivity options available for solutions deployed on the Azure platform.
The module explores connectivity options ranging from ad-hoc connections to long-term hybrid connectivity scenarios.
The module also discusses some of the performance and security issues related to load balancing across multiple compute instances, connecting local infrastructure to the cloud, and creating gateways for local data.
Lessons
Virtual networks
Load balancing
External connectivity
Hybrid connectivity
Lab: Implementing network components for use in Azure platform solutions
Creating an ARM template for a Linux virtual machine
Duplication of virtual machine resources
Create a load balancing module resource
Cleaning subscription
Upon completion of this module, students will be able to:
Describe DNS and IP strategies for virtual networks on the Azure platform.
Compare connectivity options for ad-hoc and hybrid connectivity.
Distribute network traffic to multiple loads using load balancing modules.
Design a hybrid connectivity scenario between cloud and location.

This module discusses both security and identity in the context of the Azure platform.
For security, this module discusses the various security monitoring options, available options for securing data and options for securing application secrets.
For identity, this module focuses specifically on Azure Active Directory (Azure AD) and the various features available, such as multi-factor authentication (MFA), Managed Service Identity, Azure AD Connect, ADFS and Azure AD B2B/B2C.
Lessons
Security monitoring
Data security
Azure Active Directory (Azure AD) application security
Hybrid identity
Azure AD application integration
Lab: Deploying services to secure secrets in the Azure service
Implementing Key Vault using the ARM template
Deploying a virtual machine using Key Vault Secret
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Integrate existing solutions with third-party identity providers using Azure AD B2B or B2C.
Design a hybrid identity solution.
Determine when to use advanced Azure AD service features such as Managed Service Identity, MFA and Privileged Identity Management.
Secure application secrets with Key Vault.
Secure application data with SQL Database and Azure Storage features.

This module introduces the many SaaS services available on the Azure platform that can be integrated into existing Azure platform solutions.
These services include Cognitive Services, Bot Service, Machine Learning and Media Services.
Lessons
Cognitive Services
Bot Services
Machine Learning
Media Services
Lab: Implementing service instances as components of general Azure platform solutions
Implementing the Cognitive Service function and service application using the ARM template
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Determine when Cognitive Services, Bot Service or Machine Learning are appropriate for their solution.
Compare the various functions available in Media Services and determine the appropriate functions for their solution.

This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform.
The messaging services described include Azure Storage service queues, Service Bus service queues, Service Bus relay, IoT centers, event centers and notification centers.
Integration services include Azure functions and application logic.
Lessons
Event communication
Integration
IoT
Lab: implementing messaging components to facilitate communication between Azure platform resources
Implementing the Service Bus namespace
Implementing logic applications
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Compare Storage service queues with Service Bus service queues.
Determine when to use Azure service features or application logic to integrate components into the solution.
Describe the differences between IoT centers, event centers and time series analysis.

This module covers the monitoring and automation solutions available once an Azure solution is designed, developed and possibly deployed.
The module discusses the services used to monitor individual applications, the Azure platform and network components.
This module also covers automation and backup options to enable business continuity scenarios for solutions hosted on the Azure platform.
Lessons
Application monitoring
Monitoring the platform
Network monitoring
Alerts
Backup
Azure Automation
Configuration management
Automatic scaling
Lab: deploying configuration management solutions on the Azure platform
Deploying Chef Management Server using ARM
Configuring the Management Server
Deploy virtual machine scaling set using virtual machines configured by Chef
Cleaning up subscriptions
Upon completion of this module, students will be able to:
Compare and contrast monitoring services for applications, Azure platform and networks.
Design an alert scheme for a solution hosted on the Azure platform.
Select the appropriate backup option for infrastructure and data hosted in Azure.
Automate deployment of future resources for backup recovery or scaling.

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Architecting Microsoft Azure Solutions we recommend: Create resources and resource groups on the Azure platform.; Manage users, groups, and subscriptions in an Azure Active Directory service instance.; Building an Azure platform virtual machine with associated resources..

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: This course is designed for students who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have an in-depth knowledge of most services offered on the Azure platform.; For the interactive component, this course offers students the ability to deploy Azure solutions using built-in DevOps tools such as Azure Resource Manager templates, deployments, resource groups, tags and role-based access control.; This course does not require any direct experience in writing application code or configuring server machines. This course focuses on architectural comparisons between services and making the technical decisions necessary to implement well-designed solutions on the Azure platform. This course also prepares students for the 70-535: Architecting Microsoft Azure Solutions certification exam..