2025 2H Announcement: Next LogicMonitor Innovations Unveiled
This update is packed with enhancements designed to help you troubleshoot faster, scale smarter, and integrate deeper. If you build, fix, or integrate with LogicMonitor every day, you’ll want to dive into these new capabilities. Expanding Best-in-Class Hybrid Observability LogicMonitor already leads the way in hybrid coverage, and we’re taking it further with Oracle Cloud Infrastructure (OCI) monitoring. Now you can view OCI alongside AWS, Azure, and GCP—all within LM Envision. That means: No more custom scripts. No more blind spots. Seamless, side-by-side visibility across your multi-cloud stack. For engineers, this means easier cloud comparisons and correlation. For your business, it reduces tool sprawl and ensures fewer gaps in observability. Accelerating Troubleshooting Troubleshooting gets a boost with new automation and visualization: Automated Diagnostics Diagnostics like traceroutes, interface stats, and top CPU processes now run automatically the moment an alert fires. Topology Edge Status Color-coded topology maps provide instant visibility into network health. These enhancements cut down mean time to resolution (MTTR), reduce escalations, and strengthen SLA performance. Optimizing Insights & Resolution with Edwin AI This release elevates Edwin AI into a true proactive AI Agent by: Executing remediation workflows through orchestration tools. Leveraging your Knowledge Base for customer-specific context. Integrating directly with IT Service Management tools like ServiceNow, Jira, PagerDuty, and BigPanda. Smarter Event Intelligence Powered by anomaly models and topology-based correlation—makes Edwin AI even more effective. The result? Lower MTTR, reduced burnout, and AI that actually helps when things break. Unlocking Dynamic & Interactive Visualizations If dashboards are your daily workspace, this one’s for you: LMQL-powered widget actions Now, you can drill down, filter, and pivot in real time without rebuilding dashboards. Improved reports Cleaner UX, better summaries, and dynamic formatting. This makes ad-hoc investigations faster and surfaces trends without needing external business intelligence tools. Delivering App Visibility for ITOps We’re introducing three key features that bring application-level visibility to ITOps teams: Dynamic Service Insights Define services with rules and filters, getting instant health status without manual setup. LM Uptime Website checks now appear as first-class resources, complete with dashboards and alerts. Log Metricization Convert log events into metrics you can trend, alert on, and report against. Together, these updates move teams from “Is it broken?” to “What’s the customer impact?” in seconds. 🔔 Coming soon: We’re also rolling out a new badge on Service Insights to make service health and dependencies even more visible at a glance. Stay tuned for details in the Community! Resources & Next Steps To dig deeper into the release, we’ve got you covered: 📢 Read the full announcement blog for all the details. 🌐 Explore our new product pages for in-depth looks at these features Dynamic Service Insights Edwin AI LM Uptime Oracle Cloud Infrastructure Monitoring 🎥 Register for the 2H 2025 Release Webinar to see live demos, ask questions, and get a guided walkthrough of what’s new. These updates are built for the engineers, operators, and teams who keep systems optimized and scalable every day. 👉 Log in to your LM Envision portal to explore the new features. 👉 Join the LogicMonitor Community to share your own use cases and learn from peers. Here’s to smarter observability in 2H 2025.Best Practices for Practitioners: Service Insights
Overview Modern IT infrastructure spans cloud and on- & off-premises environments, making traditional instance-based monitoring at times insufficient for understanding proper service health. LM Service Insights addresses this challenge by aggregating performance data across multiple resources and locations to provide meaningful service-level visibility. This approach is particularly valuable in dynamic environments where individual instance health may not reflect overall service status and where historical performance data needs to be preserved despite infrastructure changes. Key Principles Service-level monitoring revolutionizes infrastructure oversight by focusing on collective resource performance rather than individual components. This approach is essential for environments where services span multiple containers, cloud resources, and on and off-premises systems. Key benefits include: Maintained visibility across dynamic infrastructure changes Meaningful aggregation of service-wide performance metrics Preserved historical data independent of instance lifecycle Reduced alert noise while capturing critical issues Better alignment between technical metrics and business service delivery When to Use Service Insights Recommended for: Monitoring ephemeral applications running across multiple containers Tracking performance of cloud-based services Managing complex, distributed infrastructure Maintaining visibility into ephemeral or dynamic environments Not Recommended for: Simple up/down status monitoring Tracking discrete value metrics Environments with consistently defined performance ranges Recommended Implementation Strategies Creating Effective Services Service Composition Group-related resources that contribute to a single service Include instances across multiple devices or cloud resources Ensure comprehensive coverage of your application ecosystem Membership Configuration Choose re-evaluation frequency based on environment dynamics: 5 Minutes: For highly dynamic environments (containerized apps, auto-scaling groups) 30 Minutes: For moderately changing infrastructures 1 Day: For stable, less-frequently changing environments Metric Selection and Aggregation Select metrics that represent unique and true service-level performance Use aggregate data collection methods Include both performance and availability indicators Create complex datapoints for nuanced service health assessment Alert Configuration Alerting Strategies Implement multi-layered alerting: Dynamic thresholds for adaptive, noise-reduced monitoring Static thresholds for critical, well-defined alert conditions Configure alerts at the service level to capture broader performance issues Use service-level alerts to complement existing resource-level monitoring Advanced Techniques Service Groups Create logical groupings of related services Simplify navigation and management of complex infrastructures Enable hierarchical monitoring strategies Optimization Tips and Quick Access Utilize the Favorites tab for frequently monitored services Create custom views that highlight critical services Leverage breadcrumbs and focus features for efficient navigation Pro Tip: Treat Service Insights as a dynamic tool. Continuously learn, adapt, and refine your approach to match your evolving infrastructure needs. Best Practices Checklist ✅ Start with a representative subset of infrastructure ✅ Configure dynamic and static thresholds ✅ Regularly validate service membership ✅ Monitor alert volumes and patterns ✅ Adjust re-evaluation frequency as needed ✅ Leverage service groups for better organization Monitoring and Validation Regularly review service configurations Analyze alert trends and adjust thresholds Compare service-level metrics with individual resource performance Use reports and anomaly filters to refine the monitoring approach Conclusion LM Service Insights represents more than just a monitoring tool – it's a strategic approach to understanding and managing modern IT infrastructures wherever it resides. By shifting focus from individual resource metrics to service-level performance, organizations can better align their monitoring strategies with business objectives and service delivery goals. As IT environments continue to grow in complexity, the value of service-level monitoring becomes increasingly apparent. Service Insights provides the foundation for a more mature, strategic approach to infrastructure monitoring that can adapt and scale with your organization's needs. Remember that implementing Service Insights is a journey rather than a destination. Start with core services, learn from early implementations, and gradually expand coverage as you build confidence and expertise with the platform. Through continuous refinement and adaptation, Service Insights can become a cornerstone of your organization's monitoring strategy, enabling proactive management of service health and performance. Additional Resources Navigating the Service Insights Page Adding a Service Managing A Service Adding a Service Group Managing a Service Group Cloning A Service
