Episode 27 — Azure Virtual Machines and Scale Sets
This episode explores Azure Virtual Machines, or VMs, one of the most versatile and widely used services in the platform. Learners gain a clear understanding of how VMs replicate the behavior of physical computers while benefiting from cloud flexibility. Azure provides numerous VM families optimized for compute, memory, or storage performance, and the episode discusses how to select the right size and configuration for specific workloads. Listeners also learn how Virtual Machine Scale Sets allow organizations to deploy and manage large numbers of identical VMs efficiently, automatically scaling capacity based on demand. These concepts directly align with the compute domain of the AZ-900 exam.
Through practical context, the episode illustrates common VM scenarios—running custom software, hosting web servers, or supporting testing environments. Learners explore cost considerations, such as using reserved instances for predictable workloads or spot pricing for temporary tasks. It also touches on the operational lifecycle of a VM, including provisioning, updates, and monitoring. Understanding how Scale Sets maintain performance and availability under variable demand reinforces Azure’s scalability advantages. By mastering VM fundamentals, listeners develop a practical foundation for understanding more advanced compute and automation services later in their Azure journey. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
