Virtualization Featured Article


OpsRamp Enhances SaaS Solution


September 11, 2018

OpsRamp today unleashed a new release of its software-as-a-service platform. This solution now features comprehensive cloud database monitoring, enhanced Service Maps, and something called Topology Explorer.

“The OpsRamp platform continues to drive innovation that helps digital operations teams embrace the role of a shared services provider to their business units,” said Mahesh Ramachandran, vice president of product Management at OpsRamp, which will speak at the upcoming AIOps Expo. “Our Fall 2018 release expands on real-time service dependency mapping and multicloud infrastructure monitoring capabilities so that modern IT teams can better maintain digital services and deliver more compelling user experiences.”

Digital operations teams use OpsRamp’s solutions to discover, manage, and optimize their hybrid IT infrastructures. Bio-Rad, Dolby, Epsilon, KAR Auction Services, and and managed service providers including GreenPages, NetEnrich, and NTT Data rely on OpsRamp technology to automate their repeatable processes; better understand their applications, infrastructures, and resources; and ensure service availability.

Many organizations today use cloud services from various providers. With the Fall 2018 release of the OpsRamp solution, such businesses can monitor database performance on relationship databases on AWS, Azure, and Google. The OpsRamp also delivers alert insights and cloud cost reporting for hybrid and multicloud environments

The Service Maps enhancement allows OpsRamp helps  prioritize the most important alerts so IT teams understand what issues are impacting service availability. And the Topology Explorer maps applications and network elements and their dependencies. It allows for visualization, and it expedites application stack discovery and troubleshooting.


OpsRamp with this latest release also has improved Alert Management. As a result, users can now pause alerts during maintenance windows to prevent alert floods, and create policies that provide notification of alert state changes. The company also has brought text-based search to its alert filters. When combined with the company’s AIOps-powered Inference Engine, that enables faster incident identification and restoration.
 


 




Edited by Maurice Nagle








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