Azure Recommendations
Similar to AWS and GCP, Yotascale provides both billing account-level and utilization-level cost optimization recommendations for Azure. Billing account-level recommendations focus on maximizing discounts, while utilization-level recommendations offer granular insights into resource usage within each subscription and across various cloud services.
Reservations and Savings Plans
Azure offers two primary subscription-level cost optimization mechanisms: Savings Plans (SP) and Reserved Instances (RI).
Upon enabling access, Yotascale will automatically aggregate Azure Advisor's daily cost-saving recommendations from all linked billing accounts into a unified view.
Yotascale identifies the recommendation offering the highest potential savings for each unique combination of the following attributes:
Subscription: The Azure subscription.
Region: The geographical region where the resource is deployed.
SKU/VM Size: The type or service and SKU withing the service, like the VM size.
These Azure cost optimizations can be configured with several options:
Term: Choose between 1-year or 3-year commitments.
Look-back Period: Select a look-back period of 7, 30, or 60 days to analyze usage patterns.
Billing Frequency: Opt for either monthly or upfront billing.
Yotascale prioritizes displaying the option with the highest potential savings based on your configuration.
Utilization Recommendations
These recommendations are resource-specific and tailored to each cloud service provider. Because they are calculated based on recent resource utilization, they are highly dynamic and can change daily.
Unlike other recommendations, these offer specific actions, such as shutting down an idle server or rightsizing to a more cost-effective instance type that maintains performance. These actions have a direct and immediate impact on daily costs.
A key advantage is that these recommendations can be directly linked to the business context lenses. By mapping the resource IDs to the corresponding nodes in the business hierarchy, each team can see only the recommendations relevant to their specific workloads, making them more actionable.
To maintain optimal cost control, we strongly recommend that teams review these cost-saving recommendations several times a week, in conjunction with monitoring for potential cost spikes (anomalies).