Best IT Infrastructure Monitoring Tools for Azure Virtual Machines

Enhance your enterprise’s IT infrastructure with New Relic’s comprehensive monitoring solution. Access real-time insights into the health, performance, and availability of your entire infrastructure stack, from servers to networks. Built for large-scale operations, New Relic empowers proactive issue detection, efficient troubleshooting, and optimized resource utilization to ensure peak performance and reliability. Anticipate potential disruptions and keep your infrastructure operating seamlessly with New Relic’s enterprise-grade IT Infrastructure Monitoring solution.

IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.