- Ivanti announced the release of its software asset management (SAM) tool Data Center Discovery as part of its IT asset management, allowing organizations increased visibility into the data center.
The tool gives organizations a transparent view of virtualization layers and clustering to ensure all IT solutions are working together properly in the data center.
Data Center Discovery provides organizations with information to give them a better understanding of the relationships and dependencies between applications, servers, the network, and storage. The tool automates data center discovery, which reduces the risk of human error that can happen when administrators touch and browse individual servers.
“Ivanti Data Center Discovery provides the data our customers need to gain a deeper understanding of their assets and achieve insight into their relationships and dependencies within the complex data center environment," Ivanti CEO Steve Daly said in a statement. "With this solution, we are extending the capabilities of our ITAM offering and delivering the advanced functionality our customers need, while consolidating the number of partners they work with, to effectively manage their IT estates."
Data Center Discovery provides the data needed to determine what software an organization has and how it’s being used to improve the IT infrastructure. Along with Ivanti Lease Optimizer, the tool allows asset managers to understand complicated data center-based enterprise software and optimize software investments across all vendors, platforms and licensing models.
Data Center Discovery automates the discovery of on-premise hybrid cloud virtualization environments, including VMware, Hyper-V, Oracle VM, and IBM Power Virtualization. It also captures a wide range of data to help IT teams accomplish a focused discovery of software assets.
The tool also clarifies which processes are running on servers versus ports, which can help teams more easily identify where problems are stemming from and reduce fix and recovery times. It also reduces the number of tools required to serve multiple-data use cases and vendors.
Data Center Discovery automates the discovery of license versions, editions, installations, and usage. It reduces performance impact on the data center environment and can be deployed across multi-site data centers.
SAM tools assist organizations by eliminating redundancies and increasing visibility. SAM solutions also help organizations save money by showing entities how to optimize licenses.
Healthcare organizations are building up their health IT infrastructure to embrace new technology to improve patient care, as well as to adhere to value-based care initiatives.
Over the past several years, organizations may have stacked different health IT systems on top of one another and not realized that several solutions could be performing redundant tasks, wasting organization money and resources.
SAM and enterprise resource planning (ERP) tools give organizations the visibility they need to eliminate redundant tools and processes to allow for the most efficient infrastructure possible. The money saved on licenses and tools can go towards improving patient care.
Enterprise resource planning has recently made a resurgence in the healthcare industry because organizations were losing money by not knowing how their infrastructure systems were performing. Entities were challenged by systems that were wasting space or not working fast enough, slowing clinicians down in the treatment process.
A Black Book Market Research report conducted in 2016 found that the healthcare industry is still underinvested in resource and performance management solutions. This underinvestment comes from other infrastructure technology taking priority over management systems, such as cybersecurity, population health, and analytics.
Resources that are not properly managed in the data center can cause organizations to spend more money on storage they don’t need.
Healthcare organizations need to manage performance for value-based incentives as they continue to introduce new technology systems into their IT infrastructure.
Transitioning to value-based care includes knowing which systems are performing and which systems or features are redundant to save on costs. This can also make room for more advanced solutions that will help clinicians treat patients quickly and more accurately.