How Can You Optimize Azure VMs for Performance and Cost Savings?

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In these modern times, Microsoft administrators must balance keeping costs low while maximizing the performance of workloads. Achieving this delicate balance can often be a significant challenge, but it is crucial for maintaining optimal operations without breaking the bank. Sometimes, a virtual machine (VM) in Azure is the only viable solution to meet a business need. These virtualized workloads can spin up quickly and scale effortlessly, making them ideal for many enterprises. However, as with most cloud resources that operate on a consumption model, keeping costs low is essential. Optimizing Azure VMs involves a series of small, consistent tweaks that bring the most effective results. This guide covers pivotal methods to enhance Azure VM performance while ensuring cost savings.

Reduce VM Resource Consumption in Azure

The most straightforward way to lower costs is to avoid consuming unnecessary VM resources. Deallocating Azure VMs when they aren’t needed can lead to significant savings. For instance, automating the shutdown of development servers at the end of each day, particularly on Fridays, can free up around 64 hours of resources per week. Understanding Azure’s terminology is critical because there’s a difference between deallocating a VM and simply powering it off. A deallocated VM releases computing resources, stopping the associated charges.

Pay Attention to the Azure Advisor Recommendations

One of the often overlooked tools in optimizing Azure VMs is the Azure Advisor. This service evaluates your VMs against specific criteria and provides recommendations to streamline resource use and cut costs. Using Azure Advisor’s insights can lead to more efficient resource utilization and lower expenditures.

Use Azure Spot VMs for Better Cost Savings

Azure Spot VMs, also known as spot instances, offer a cost-effective alternative for non-production environments. These spot instances provide capacity at significantly lower rates compared to standard Azure VMs, sometimes offering discounts of up to 90%. However, they come with the caveat that Microsoft can reclaim the resources with minimal notice. While using Spot VMs for production environments is generally not advisable due to their unpredictability, they are ideal for development and quality assurance servers.

Get Better Azure Disk Performance for Less Money

An often overlooked area for cost savings is the disks attached to Azure VMs. Evaluating what you aim to achieve with a VM—whether it’s storage capacity, performance, or portability—can help determine the most cost-effective disk configuration. Using Windows Storage Spaces or Linux’s Logical Volume Manager (LVM) to create a storage pool of smaller disks can provide higher Input/Output Operations Per Second (IOPS) and better throughput than a single larger disk.

Creating Storage Pools for Better Performance

Carefully setting up a storage pool can also lead to cost savings and improved performance.Smaller disks allow for more incremental scaling, which is more cost-effective than adding large disks. Creating storage pools from multiple smaller disks not only optimizes performance by increasing IOPS and throughput but also ensures that storage costs are kept to a minimum.

Initiate the VM Creation

To begin optimizing a storage pool in an Azure VM, start by configuring the VM with the operating system disk and several smaller disks. For instance, create a VM in Azure with an OS disk and four S15 HDD disks of 256 GB each. Once the VM is set up and running, proceed to the Storage Pools section in Server Manager, where you will combine these disks into a storage pool. This step marks the beginning of creating a high-performance, cost-effective storage solution.

Combining Disks into a Storage Pool

After rescanning the storage, the next step is to combine the disks into a storage pool. Selecting the option for a new storage pool after choosing the disk types ensures that the resources are organized efficiently. Following the wizard, add the disks and leave default settings unchanged. Proceed to the confirmation screen and click Create to finalize the storage pool.

Create the Virtual Disk

After setting up the storage pool, the next task is creating a virtual disk. This setup maximizes performance by utilizing all available disks in a striped configuration, which enhances IOPS and throughput.

Create the New Volume

The final step in optimizing Azure VMs for performance and cost savings involves creating a new volume on the virtual disk. Completing this wizard creates a highly performant storage volume that supports various workloads without incurring high costs. Using Azure Monitor can help verify that the disk performance aligns with workload requirements.

Streamline and Save

In today’s digital landscape, Microsoft administrators face the challenge of keeping operational costs low while maximizing workload performance. Striking this balance is critical, although often difficult, as businesses strive to maintain efficient operations without overspending. For many business needs, deploying a virtual machine (VM) in Azure is often the most effective solution. However, the consumption-based pricing model of most cloud resources means that cost management is vital. To control expenses while optimizing performance, administrators need to implement a series of small but consistent adjustments. These tweaks can lead to significant improvements in both cost and efficiency. By following these methods, administrators can achieve an optimal balance between performance and cost-effectiveness in their Azure environments.

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