Architecting Microsoft Azure Solutions

Request more details:

submit request
Description:
This course - MOC 20535- is intended for architects who have experience building infrastructure and applications on the Microsoft Azure platform. Students should have a thorough understanding of most services offered on the Azure platform. The students typically work for organizations that have an active solution on Azure and are planning to enhance existing solutions or deploy more solutions to the Azure platform. This course also is intended for architects who want to take the Microsoft Certification exam, 70-535, Architecting Microsoft Azure Solutions.
Prerequisites:
Before attending this course, students must have the following technical knowledge:

Create resources and resource group in Azure.

Manage users, groups, and subscriptions in an Azure Active Directory instance.

Build an Azure Virtual Machine with related resources.

Manage containers and blobs stored in an Azure Storage account.

Create App Service Plans and manage apps related to the plan.

Configure an Azure Virtual Network and enable S2S and P2S connectivity.

Protect networked application components using Network Security Groups.

Automate everyday Azure resource tasks using Azure CLI or Azure PowerShell.

Deploy an Azure SQL, MySQL, Postgres or Cosmos database instance.

Monitor existing Azure solutions using built-in metrics, Application Insights, or Operational Insights.

Monitor existing Azure solutions using built-in metrics, Application Insights, or Operational Insights.
At course completion:
After completing this course, students will be able to:

Describe Azure architecture components, including infrastructure, tools, and portals.

Create and deploy Azure Resource Manager (ARM) templates for various all-up 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 an overall Azure solution.

Secure, monitor and backup solutions deployed to Azure.

Create automated DevOps solutions using a combination of ARM templates, configuration management utilities, Azure CLI, and the Cloud Shell.

Create automated DevOps solutions using a combination of ARM templates, configuration management utilities, Azure CLI, and the Cloud Shell.
Application Architecture Patterns in Azure:
This module introduces and reviews common Azure patterns and architectures as prescribed 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
Resiliency Patterns
Scalability Patterns
Data Patterns
Deploying Resources with Azure Resource Manager:
This module establishes a basic understanding of Azure Resource Manager and the core concepts of deployments, resources, templates, resource groups, and tags. The module will dive deeply into the automated deployment of resources using ARM templates.
Lessons:
ARM Templates
Role-Based Access Control (RBAC)
Resource Policies
Security
Building Blocks
Building Azure IaaS-Based Server Applications:
This module identifies workloads that are ideally deployed using Infrastructure-as-a-Service services in Azure. The module focuses on the VM Scale Sets and Virtual Machine services in Azure and how to best deploy workloads to these services using best practices and features such as Availability Sets.
Lessons:
High Availability
Templated Infrastructure
Domain-Connected Machines
Creating Managed Server Applications in Azure:
This module describes services that use infrastructure but manage the infrastructure on behalf of the user instead of obfuscating the infrastructure resources. The module focuses on infrastructure-backed PaaS options 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 task.
Lessons:
Infrastructure-Backed Platform-as-a-Service (PaaS)
High-Performance Compute (HPC)
Migration
Authoring Serverless Applications in Azure:
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 the requirement to manage 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
Backing Azure Solutions with Azure Storage:
This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure. The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution.
Lessons:
Pricing
Blob Storage
Files
StorSimple
Comparing Database Options in Azure:
This module compares the various relational and non-relational data storage options available in Azure. Options are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on 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
Networking Azure Application Components:
This module describes the various networking and connectivity options available for solutions deployed on Azure. 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 concerns related to balancing workloads across multiple compute instances, connecting on-premise infrastructure to the cloud and creating gateways for on-premise data.
Lessons:
VNETs
Load Balancing
External Connectivity
Hybrid Connectivity
Managing Security and Identity for Azure Solutions:
This module discusses both security and identity within the context of Azure. For security, this module reviews the various options for monitoring security, the options available for securing data and the 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
Application Security Azure Active Directory (Azure AD)
Hybrid Identity
Azure AD Application Integration
Integrating SaaS Services Available on the Azure Platform:
This module introduces multiple SaaS services available in Azure that are available for integration into existing Azure solutions. These services include Cognitive Services, Bot Service, Machine Learning and Media Services.
Lessons:
Cognitive Services
Bot Services
Machine Learning
Media Services
Integrating Azure Solution Components using Messaging Services:
This module describes and compares the integration and messaging services available for solutions hosted on the Azure platform. Messaging services described include Azure Storage Queues, Service Bus Queues, Service Bus Relay, IoT Hubs, Event Hubs, and Notification Hubs. Integration services include Azure Functions and Logic Apps.
Lessons:
Event Messaging
Integration
IoT
Monitoring and Automating Azure Solutions:
This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed. The module reviews services that are used to monitor individual applications, the Azure platform, and networked components. This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure.
Lessons:
Application Monitoring
Platform Monitoring
Network Monitoring
Alerting
Backup
Azure Automation
Config Management
Auto-Scale