You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

SolarWinds Improves Server & Application Monitor

By   /  October 5, 2016  /  No Comments

predictSolarWinds, a leading provider of powerful and affordable IT monitoring software, has announced updates to its award-winning SolarWinds® Server & Application Monitor (SAM) that vastly improve IT professionals’ monitoring, alerting and reporting capabilities for Linux® environments. Now with both agentless and agent-based monitoring capabilities for Linux systems, SolarWinds SAM is ideally suited to help improve the performance and uptime of both Windows®- and Linux-based applications within a single console wherever they are deployed—on-premises, whether physical or virtual, or in the cloud.

“IT is becoming increasingly distributed, being driven in large part by the need for geo-redundant deployments and hybrid IT,” said Gerardo Dada, vice president, product marketing, SolarWinds. “At the same time, IT departments are increasingly responsible for managing heterogeneous environments that include both Windows and Linux systems. Some compromise between effectiveness and efficiency by managing such environments with two or more separate toolsets, often leveraging open source tools for monitoring their Linux-based applications. With this update, SolarWinds SAM now empowers IT professionals with the capability to ensure the performance of both Windows- and Linux-based applications and servers—regardless of where they may be may be—with a single tool.”

With new agent-based monitoring for Linux systems, SolarWinds SAM empowers IT professionals with detailed performance metrics and alerting for their Windows and now Linux-based applications deployed in geographically disperse datacenters, remote offices or in the public cloud, including Amazon® AWS®, Microsoft® Azure®, Google Cloud Platform™ and Rackspace®.

Read more at Channel Partners.

You might also like...

Data Strategy vs. Data Architecture

Read More →