Your systems are getting faster. More complex. More distributed. But your tools are still waiting for something to go wrong before they do anything about it. That’s the real limitation of most AIOps platforms. They highlight issues. They suggest next steps. But they stop short of action—leaving your team to connect the dots, chase down […]

A recent AWS fix exposed a long-standing ELB billing bug, causing unexpected cost spikes. Here’s how LogicMonitor customers caught it fast.

Traditional troubleshooting wastes time and buries answers under endless log data. See how LM Logs connects metrics and logs automatically, so you can pinpoint root causes faster and slash MTTR.

This is the twelfth blog in our Azure Monitoring series, focusing on the practical implementation of LogicMonitor Envision. Having a powerful observability platform is just the first step; getting the most out of it means configuring it correctly. We’ll walk you through eight real-world best practices CloudOps teams use to master Azure monitoring, covering everything […]

This is the eleventh blog in our Azure Monitoring series. We’ll show you how LogicMonitor Envision overcomes Azure Monitor’s limitations that leave many CloudOps teams drowning in alerts, blind spots, and constant firefighting. We’ll cover LogicMonitor’s key capabilities and share real customer success stories. Missed our earlier posts? Check them out. CloudOps teams managing Azure environments […]

This is the tenth blog in our Azure Monitoring series, and it’s all about what metrics miss. We’ll break down why teams need more than CPU graphs to troubleshoot effectively and how events, logs, and traces work together to expose what’s really going on behind those “all green” dashboards. Missed our earlier posts? Check out […]

This is the ninth post in our Azure Monitoring series, and it’s all about taking control of your cloud costs without losing visibility. We’ll unpack why Azure bills tend to spiral, where native tools fall short, and what it really takes to cut spend while keeping performance on point. You’ll walk away with practical ways […]

This is the seventh blog in our Azure Monitoring series, which focuses on common pitfalls that CloudOps teams encounter. Even with the right metrics and tools in place, monitoring strategies often fail due to oversight, static configurations, and alert fatigue. We’ll explore the most frequent monitoring mistakes in Azure environments and practical solutions to address […]

This is the sixth blog in our Azure Monitoring series, focusing on correlation strategies. Tracking individual metrics for performance, cost, and security is useful, but the real value comes from connecting them. We’ll explore practical correlation techniques that elevate your Azure monitoring from basic data collection to true observability. Missed our earlier posts? Check out […]