DoiT Cloud Intelligence™DoiT Cloud Intelligence™

Announcement

All multicloud recommendations in one place – now including Azure Advisor

By Craig Lowell

All multicloud recommendations in one place – now including Azure Advisor

Azure Advisor recommendations now appear alongside AWS and Google Cloud insights, giving teams one unified view to prioritize and act on optimization across all three clouds.

All multicloud recommendations in one place – now including Azure Advisor

DoiT Insights now also includes Azure Advisor recommendations, alongside AWS Trusted Advisor, AWS Compute Optimizer, Google Cloud Recommender, and DoiT Cloud Intelligence™ Deep-Waste Insights recommendations, giving teams a single place to manage optimization across every cloud.

Instead of jumping between provider consoles, you can now identify, prioritize, and act on multicloud optimization opportunities from one unified experience.

With this update, Insights brings all recommendations together into a normalized, multicloud view, including:

  • Azure Advisor
  • AWS Trusted Advisor and Compute Optimizer
  • Google Cloud Recommender
  • DoiT Cloud Intelligence™ Deep-Waste Insights

All recommendations are categorized consistently across cost optimization, performance, reliability, security, and operational excellence, making it easier to compare impact and focus on what matters most.

But Insights shouldn’t just stop at recommendations, either. As with all of your existing Insights, Azure Advisor Insights allow you to take immediate steps to investigate and remediate the problem through three potential avenues:

  • Launch an automated flow to automatically take the recommended action
  • Create a Jira ticket to assign the task within your engineering team
  • Raise a support ticket to get help from a DoiT Forward Deployed Engineer

Enabling Azure Advisor Insights

You can enable the Azure Advisor integration in your environment from the ‘Integrate’ tab in the DoiT Cloud Intelligence console. 

To learn more about the process, see our Help documentation, or raise a support ticket to speak to a DoiT expert.

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