Cut Azure costs with AI-powered recommendations from LogicMonitor Cost Optimization

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Managing Azure costs while ensuring performance and scalability can be a complex, resource-intensive process, especially when cost management tools are pieced together and used separately from monitoring solutions. To address this challenge, LogicMonitor is excited to announce cost-savings recommendations for Microsoft Azure compute and storage resources, simplifying cloud cost management with integrated insights.
This enhancement is part of the LogicMonitor Cost Optimization offering, first introduced in May 2024, which helps ITOps and CloudOps teams to manage hybrid cloud performance with cost efficiency. By showcasing deep multi-cloud billing visibility and AI-powered recommendations, Cost Optimization simplifies cloud investment management and maximizes ROI.
Integrated into LogicMonitor’s Hybrid Observability platform, LM Envision, Cost Optimization pairs continuous telemetry from AWS and Azure environments with proactive insights to intelligently manage performance and costs—ensuring teams stay focused on business value.
For example, when new features are put into production, teams might encounter excess compute from auto-scaling, resulting in potentially massive excess costs depending on the scope of the application. Cost Optimization will show early cost increases for the application, so teams can remediate before bills are generated.
Azure’s scalability makes it a trusted choice for enterprises and MSPs to deploy their mission-critical workloads and applications, but without proactive cost monitoring, cloud spending can quickly spiral out of control. Common issues like over-provisioned virtual machines (VMs), unused storage, and unmanaged resources inflate expenses and divert IT teams like yours from their strategic goals. Manually and reactively researching and changing instances and capacity is time-consuming.
LM Envision addresses these challenges by continuously discovering Azure resources, collecting data and insights, and delivering AI-powered recommendations to optimize Azure compute and storage costs.
Our platform analyzes Azure compute and storage usage patterns using AI-driven algorithms and automation to:
Eliminate waste: Identify idle or underused resources, such as unattached disks or underutilized storage, to help eliminate wasteful spend.
Explore cost optimization role-based access controls in detail.
Cost Optimization integrates FinOps principles directly into the workflows of Platform Engineering and Operations teams without a separate tool. Operations teams are empowered to manage Azure costs and collaborate with financial stakeholders. As a result, customers gain hybrid cloud efficiencies in one observability tool versus deploying multiple tools and piecing together information.
For financial stakeholders, Cost Optimization offers data-driven clarity into cloud expenditures, fostering accountability and strategic decision-making.
Azure cost optimization doesn’t have to be complex. LM Envision’s AI-powered recommendations simplify the process, driving significant savings and improving cloud efficiency. All of this happens while ensuring your Azure investments deliver long-term value.
Ready to see the difference LogicMonitor can make for your Azure environment? Contact us to learn more about transforming your approach to cloud cost management.
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