Overview of the course
What is a Virtual Machine?
Creating and Connecting to Azure VMs
Scaling Azure Virtual Machines
Design and Implement VM Storage
Configure Monitoring & Alerts for Azure VMs
Azure Resource Manager Virtual Machines
Virtual Machines are a very foundational and fundamental resource in Cloud Computing. Deploying virtual machines gives you more flexibility and control over your cloud infrastructure and services, however, it also means you have more responsibility to maintain and configure these resources. This course gives you an overview of why use virtual machines as well as how to create, configure, and monitor VMs in Azure Resource Manager.
Azure Resource Manager Virtual Machines: What You'll Learn
|Lesson||What you'll learn|
|Overview||Overview of the course and the Learning Objectives|
|What is a Virtual Machine?||Understand what are Azure Virtual Machines and what workloads are ideal for VMs|
|Creating and Connecting to Azure VMs||Learn to deploy Windows and Linux VMs as well as how to connect to these VMs|
|Scaling Azure Virtual Machines||Understand VM scaling, load-balancing, and Availability Sets in Azure Resource Manager|
|Configuration Management||Understand the basic concepts of Desired State Configuration and the options available to Azure VMs|
|Design and Implement VM Storage||Gain an understanding of the underlying Storage options available to VMs as well as Encryption|
|Configure Monitoring & Alerts for Azure VMs||Learn to monitor VMs in Azure Resource Manager as well as configure alerts.|
|Summary||Course summary and conclusion|
GitHub Code Repository
Diagnostic data is stored in storage accounts. We saw previously that we designate a storage account of our choosing where the VM Diagnostic extension will store data. Let’s head over to our diagnostic storage account. If we scroll down to the “Monitoring” section we can click on “Diagnostics.” Here we can turn diagnostics on or off. When enabled, we can store metrics such as Blob, Table, Queue, and File aggregate metrics as well as individual logs. But a significant option here is the ability to control how long we keep these logs around via a simple slider. We can see that the default Retention period is 7 days. But just as we’ve done before, we can select “Alert rules” and add alerts based on large number of different Metrics.
Chris has over 15 years of experience working with top IT Enterprise businesses. Having worked at Google helping to launch Gmail, YouTube, Maps and more and most recently at Microsoft working directly with Microsoft Azure for both Commercial and Public Sectors, Chris brings a wealth of knowledge and experience to the team in architecting complex solutions and advanced troubleshooting techniques. He holds several Microsoft Certifications including Azure Certifications.
In his spare time, Chris enjoys movies, gaming, outdoor activities, and Brazilian Jiu-Jitsu.