Maximize Your Azure Savings: Advisor Cost Recommendations Explained
In today's cloud-driven world, managing costs effectively is essential for any organization using Azure. Advisor's cost recommendations exist to help you optimize resource utilization and save money. By analyzing your usage patterns, it identifies opportunities to shut down unused resources or resize virtual machines to more cost-effective options. This not only helps in reducing waste but also ensures that your cloud environment remains efficient.
Advisor employs machine-learning algorithms to analyze the last seven days of resource utilization. It looks at metrics sampled every 30 seconds, aggregated to one minute, and then to 30 minutes. If a virtual machine's CPU utilization is consistently low—specifically, if the P95 of maximum CPU utilization across all cores is less than 3%—Advisor will recommend shutting it down. Additionally, it suggests resizing virtual machines when it finds that the current load can be handled by a less expensive SKU. You can also evaluate workloads for eligibility to run on Burstable SKUs, which can save you even more.
In production, understanding the nuances of these recommendations is key. Keep in mind that the savings estimates are based on retail rates and do not account for any discounts you may have. Also, if you lack the necessary permissions, you won't see these recommendations in the interface. Be cautious about adopting recommendations if your VMs are provisioned for anticipated traffic, or if they are part of a disaster recovery plan. Always assess the context of your workloads before making changes based on these insights.
Key takeaways
- →Identify underutilized resources by analyzing the last seven days of usage.
- →Shut down VMs with CPU utilization below 3% to save costs.
- →Consider resizing VMs to more appropriate SKUs based on current load.
- →Evaluate workloads for Burstable SKUs to reduce expenses further.
- →Be aware that savings estimates do not include any existing discounts.
Why it matters
Effective cost management in Azure can lead to significant savings, allowing you to allocate resources more efficiently and invest in other critical areas of your infrastructure.
When NOT to use this
Avoid using Advisor's recommendations if your virtual machines are provisioned for upcoming traffic, are part of a disaster recovery strategy, or if you need to maintain SKU homogeneity for compliance or operational reasons. The official docs don't call out specific anti-patterns here. Use your judgment based on your scale and requirements.
Want the complete reference?
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