This course will give you a basic understanding of Azure virtual machines (VMs) and how you can use them in your Azure environments.
The course begins by introducing you to Azure VMs and what resources are necessary to deploy them, before moving onto pricing and the different virtual machine options available. Next, the course explores availability sets and availability zones and gives a demonstration that shows you how to create an availability set using the Azure portal.
The course shows how to deploy both Windows and Linux virtual machines, and you'll get a demonstration of how to deploy and connect to each. Rounding off the course is a section on basic management tasks; you’ll learn how to start, stop, restart, redeploy, and resize virtual machines.
This course is packed full of real-world demonstrations from within the Azure portal to give you first-hand experience of how to get the most from Azure Virtual Machines.
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- Gain a foundational understanding of Azure virtual machines, their features, and their pricing
- Learn how to set up availability sets
- Learn how to create and connect to both Windows and Linux virtual machines with Azure
- Learn how to manage your Azure VMs including starting, stopping, restarting, redeploying, and resizing VMs
This course is intended for anyone who is interested in learning about the basics of Azure virtual machines.
To get the most from this course you should have a basic understanding of Microsoft Azure and of the Azure portal.
Azure virtual machines come in several flavors. General-purpose virtual machines offer a balanced CPU to memory ratio. These machines are perfect for development and testing environments, small databases, and low traffic Web servers.
Compute-optimized virtual machines offer high CPU to memory ratios. These virtual machines are ideal for medium traffic Web servers and network appliances. They are also good for batch processing and can function as application servers.
Memory-optimized virtual machines offer high memory to core ratios. Organizations typically use memory-optimized virtual machines for relational database servers, large caches, and for performing in-memory analytics.
Storage optimized virtual machines offer high disk throughput and IO. They are perfect for big data, SQL, and NoSQL databases.
GPU virtual machines are specialized for heavy graphic rendering and video editing. These VMs come with single GPUs and multiple GPUs.
High performance compute virtual machines are the fastest and most powerful CPU virtual machines available. These virtual machines are designed to handle high performance compute workloads, including things like molecular modeling, genomic research, and financial risk modeling. Some high-performance compute virtual machines come with optional high throughput network interfaces.
The type of virtual machine that you deploy will be largely dependent on the workload you plan to host on the VM.
Tom is a 25+ year veteran of the IT industry, having worked in environments as large as 40k seats and as small as 50 seats. Throughout the course of a long an interesting career, he has built an in-depth skillset that spans numerous IT disciplines. Tom has designed and architected small, large, and global IT solutions.
In addition to the Cloud Platform and Infrastructure MCSE certification, Tom also carries several other Microsoft certifications. His ability to see things from a strategic perspective allows Tom to architect solutions that closely align with business needs.
In his spare time, Tom enjoys camping, fishing, and playing poker.