Best Server Monitoring Software for Azure DevOps
View:
Compare the Top Server Monitoring Software that integrates with Azure DevOps as of September 2025
Sort By:
This a list of Server Monitoring software that integrates with Azure DevOps. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps. View the products that work with Azure DevOps in the table below.
What is Server Monitoring Software for Azure DevOps?
Server monitoring software helps IT administrators track the performance, health, and availability of servers in real-time. These tools collect and display critical data on server resources such as CPU usage, memory consumption, disk space, and network traffic. By setting alerts for anomalies or performance degradation, server monitoring software helps prevent downtime and ensures servers run optimally. It often includes features like log management, automated reporting, and integration with other IT management tools. These solutions are essential for identifying potential issues early and maintaining the reliability of both on-premises and cloud-based server environments. Compare and read user reviews of the best Server Monitoring software for Azure DevOps currently available using the table below. This list is updated regularly.
-
1
BMC AMI Ops Monitoring (formerly MainView Monitoring) provides centralized control of your z/OS® and z/OS UNIX® environments, taking the guesswork out of optimizing mainframe performance. It reduces monitoring costs, ensures system availability and performance, and minimizes the risk of business services being unavailable. Get a comprehensive view of your entire z/OS environment, including z/OS UNIX, to ensure your mainframe meets the needs of today’s digital business—rapidly, efficiently, intuitively, and at a lower cost. No need to choose—highly efficient resource usage and common data collection lowers costs while ensuring availability. Tight integration with intelligent proactive automation prevents problems before they happen. Guided navigation to the source of a problem lowers MTTR. Dynamic analytics-based thresholds pinpoint potential problems while improving staff efficiency and effectiveness.
- Previous
- You're on page 1
- Next