June 17 - Product Power Hour: Cost Optimization
Product Power Hour: Cost Optimization Date: Tuesday, June 17 at 10 AM CT 🔗 Register Here Join us for June's edition of Product Power Hour, your monthly deep dive into the latest and greatest from our LogicMonitor team! This session will spotlight Cost Optimization—uncovering how LM Envision helps you gain visibility into cloud spend, identify savings opportunities, and drive smarter financial decisions across your infrastructure. Featuring Guest Speakers: Charlie Wolfe, Senior Product Manager Barry Ballard, Principal Product Trainer What You’ll Learn: Smarter Visibility & Governance: See how tag-based monitoring and RBAC controls provide clarity into cloud spend while enabling secure, team-specific access to cost data. Actionable Insights & Dashboards: Discover how LogicMonitor’s built-in recommendations and billing dashboards help you track expenses and identify savings opportunities with ease. Live Use Cases & Demos: See how leading teams are using LogicMonitor to uncover waste, rightsize resources, and better align cloud usage with business goals. Expert Q&A: Bring your questions for a live discussion with our cost optimization experts.Best Practices for Practitioners: Cost Optimization
Overview LogicMonitor’s Cost Optimization suite enables IT and CloudOps teams to manage cloud expenditures across platforms such as AWS, Azure, and GCP with precision. By integrating real-time billing data, AI-driven recommendations, and granular access controls, organizations can enhance financial accountability, streamline resource utilization, and align cloud investments with business objectives. Key Principles Unified Multi-Cloud Visibility: Consolidate AWS and Azure billing data into a single, comprehensive dashboard. AI-Powered Recommendations: Leverage intelligent insights to identify cost-saving opportunities without compromising performance. Tag-Based Cost Attribution: Utilize resource tagging to allocate costs accurately across departments, projects, or applications. Granular Access Control: Implement Role-Based Access Control (RBAC) to ensure secure and appropriate access to billing information. Proactive Monitoring and Alerts: Set thresholds and alerts to detect and address cost anomalies promptly. LogicMonitor Cost Optimization Features and Methods Multi-Cloud Billing Dashboard Comprehensive Cost Overview: Visualize detailed cost data from AWS and Azure in a unified dashboard, enabling easy comparison and analysis. Normalized Tag Filtering: Break down costs by tags such as account, region, resource type, and more to identify spending patterns and anomalies. AI-Powered Recommendations Resource Optimization: Receive suggestions to right-size or terminate underutilized resources, including EC2 instances, EBS volumes, Azure VMs, and disks. Performance-Based Insights: Recommendations are based on performance metrics like CPU utilization, disk activity, and network throughput to ensure efficiency without sacrificing performance. Tag-Based Cost Monitoring Detailed Cost Attribution: Monitor cloud spend by specific tags, allowing for precise allocation of costs to business units, applications, or environments. Automated Tag Discovery: LogicMonitor automatically discovers and applies tags from AWS and Azure resources, facilitating seamless cost tracking. Role-Based Access Control (RBAC) Secure Data Access: Define user roles and permissions to control access to billing information, ensuring that sensitive data is only accessible to authorized personnel. Client-Specific Views: For MSPs, RBAC allows for the creation of client-specific billing views, enhancing transparency and trust. Best Practices Implementing Tag-Based Cost Tracking Standardize Tagging Conventions: Develop and enforce a consistent tagging strategy across all cloud resources to ensure accurate cost attribution. Utilize Cost Allocation Tags: In AWS, enable cost allocation tags to facilitate detailed billing reports. Regular Tag Audits: Periodically review and update tags to maintain relevance and accuracy in cost reporting. Leveraging AI Recommendations Regular Review of Suggestions: Incorporate the review of AI-generated recommendations into routine operations to identify potential savings. Assess Impact Before Implementation: Evaluate the potential impact of recommended changes on performance and operations before applying them. Track Recommendation Outcomes: Monitor the results of implemented recommendations to validate effectiveness and inform future decisions. Configuring RBAC for Billing Data Define Clear Roles and Permissions: Establish roles with specific access levels to billing data, aligning with organizational responsibilities. Limit Access to Sensitive Information: Restrict access to detailed billing data to necessary personnel to maintain data security. Regularly Review Access Controls: Conduct periodic reviews of user access to ensure compliance with security policies. Implementation Checklist ✅ Integrate AWS and Azure accounts with LogicMonitor for billing data collection. ✅ Establish and enforce a standardized tagging strategy across all cloud resources. ✅ Enable and configure AI-powered recommendations for resource optimization. ✅ Set up RBAC to control access to billing information based on organizational roles. ✅ Create dashboards and alerts to monitor cost trends and anomalies proactively. Conclusion By implementing LogicMonitor’s Cost Optimization features, organizations can achieve greater visibility into cloud expenditures, identify and act on cost-saving opportunities, and ensure that cloud investments align with business goals. Through standardized tagging, intelligent recommendations, and secure access controls, teams can manage cloud costs effectively and efficiently. Additional Resources Role-Based Access Controls for Granular Data Access in Cost Optimization Cloud Billing How to Monitor Cloud Costs More Effectively Using Tags Cost Optimization - Billing Cost Optimization - Recommendations AWS Cost by Tag Monitoring Azure Cost by Tag Monitoring SOLUTION BRIEF Cost OptimizationCost Optimization: June Product Power Hour Recap
Overview In our June Product Power Hour, we took a deep dive into how practitioners can unlock meaningful cost optimization across their cloud environments. With live demos, new feature highlights, and a robust Q&A session, the conversation focused on practical strategies to reduce spend while increasing visibility and control. The session was designed for teams looking to optimize usage and gain clearer insights into their cost drivers. Key Highlights ⭐ Feature deep dive into the new Historical Rightsizing view for understanding previous efficiency opportunities. ⭐ Automated recommendations for turning off idle resources—empowering teams to act quickly and reduce waste. ⭐ Introduced custom labeling for more granular spend tracking by team, service, or environment. ⭐ Shared real-world examples of teams seeing 25–40% monthly savings using the Cost Optimization dashboard. ⭐ Discussed new API endpoints for integrating optimization insights into internal workflows and tooling. Q&A Q: How are idle resources identified? A: The product uses a combination of usage metrics and machine learning to surface underutilized resources based on historical patterns. Q: Can teams set thresholds for automated actions? A: Yes, thresholds can be defined based on CPU, memory, or custom metrics to trigger auto-stop or alerting. Q: What types of resources are supported? A: Optimization is currently focused on compute instances (VMs, containers) and will soon expand to include storage and networking. Q: Is historical rightsizing retroactive? A: Yes, teams can look back up to 90 days to evaluate missed opportunities and adjust policies accordingly. Customer Call-outs ⭐ “We implemented three recommendations within hours and already saw our bill drop.” ⭐ “This makes it easy for engineers to actually care about cost.” What’s Next 📚New Badges and Certifications go LIVE! We’re excited to launch LogicMonitor’s new Badges and Certifications program in LM Academy. Starting June 30, you can earn free, on-demand, digital badges that validate your product knowledge and platform skills. First set of badges: 🛡️Getting Started 🛡️Collectors 🛡️Logs 🪵Logs for Lunch July 9 – Apps and Kubernetes ⚡Product Power Hour July 22 - Monitoring Your AI Workloads with LM Want to check out previous Product Power Hours? Explore the Product Power Hour Hub in LM Community! 👥 User Groups Stay tuned to our LM Community User Group Hub for upcoming virtual sessions. Note: As we finalize our speakers, these dates and times may change, but be sure to register for your respective regions above so we can keep you informed! If you would like to speak at one of the upcoming virtual user groups, email sky.mendes@logicmonitor.com or suzanne.shaw@logicmonitor.com to connect! Review If you missed any part of the session or want to revisit the content, we’ve got you covered: Review the slide deck here Want to see the full session? Watch the recording below ⬇️
