Maximize Your Azure Savings with Advisor Cost Recommendations

In today's cloud-centric world, managing costs effectively is a top priority for organizations leveraging Azure. Advisor cost recommendations exist to help you identify underutilized resources and optimize your spending. By analyzing resource utilization over the past week, Advisor provides actionable insights that can lead to significant savings.

Advisor employs machine-learning algorithms to sift through utilization data, examining metrics every 30 seconds and aggregating them into 1-minute and 30-minute intervals. It identifies resources that haven’t been used at all over the last seven days, suggesting shutdowns for those that meet specific criteria. For instance, if the 95th percentile of CPU utilization is below 3% and outbound network usage is minimal, you’ll receive a recommendation to shut down those resources. Additionally, it offers resizing suggestions for virtual machines, recommending more cost-effective SKUs based on your current load. You can also explore Burstable SKUs that adapt to variable workloads, providing further savings.

However, be cautious. The savings estimates are based on retail rates and do not consider any discounts or Reserved Instances you may have. Additionally, if you lack the necessary permissions, you won’t see these recommendations in your interface. It’s also important to remember that some scenarios, like preparing for upcoming traffic or maintaining SKU homogeneity, may render these recommendations impractical. Always assess your specific context before acting on these insights.