This is the fifth blog in our Azure Monitoring series, and we’re focusing on what’s most critical: keeping your environment secure and always available. Performance and cost mean nothing if your services go offline or your data is compromised. In this post, we’ll highlight the Azure metrics that help CloudOps teams detect threats early, build […]

This is the third post in our Azure Monitoring series, and this time, we’re focused on performance. As your Azure environment scales, uptime alone doesn’t cut it. You need to know which metrics actually reflect user experience, service health, and business impact. In this blog, we’ll break down the Azure metrics that matter most, so […]

This is the second post in our Azure Monitoring series. This time, we’re tackling what breaks when Azure scales and why traditional monitoring can’t keep up. From alert storms to ballooning data costs, we’ll show you what to watch for, where visibility falls apart, and how service-aware observability keeps your team ahead of the chaos. Read […]

This is the first blog in our Azure Monitoring series. We’re kicking things off by breaking down the real difference between monitoring and observability—why it matters, where Azure Monitor falls short, and how CloudOps teams can close the gap to move faster, troubleshoot smarter, and stay ahead of issues at scale. Want more? Check out […]

Learn which Azure metrics help you cut waste, optimize performance, and keep budgets on track.

Find out how consolidating your monitoring approach can reduce alert fatigue, speed up troubleshooting, and lower costs across Azure and beyond.

Modern ITOps leaders face rising pressure to resolve incidents faster, reduce manual toil, and meet ever-tighter SLAs. But too often, ITOps leaders are juggling numerous disconnected tools, each providing only a narrow slice of the operational picture. LogicMonitor and ServiceNow are tackling this challenge with a unified view of observability and workflows. Together, we bring AI […]

A practical look at how to manage sensitive data like PII and PHI in LM Logs, with clear best practices for log sanitization, access control, and retention.

Agentic AIOps is redefining IT operations. Discover why modular, agent-driven architectures like Edwin AI are the future of ITOps.