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Ensuring infrastructure awareness, resilience, and IT optimization

From the compute infrastructure to the devices in a patient’s room, Nlyte monitors, analyzes, and keeps track of all things connected. It is important that the entire data center infrastructure works reliably and cost effectively while integrating effortlessly to other systems. Nlyte ensures energy, space, and personnel are optimized and efficiently reacting to planned and unplanned changes avoiding disruption in patient care, research, and administration. Nlyte monitors and manages the Technology Asset stack to alert of potential issues and unplanned changes and additions reducing risk.

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Some of Nlyte’s Healthcare Customers

Anthem logo
Cerner logo
HCA logo
UnitedHealthcare logo
Blue Cross Blue Shield of Illinois logo
Johns Hopkins logo
HHC logo
Ecolab logo
Sutter Health logo
Blue cross of California logo
Sentara logo
Los Angeles County Health Services logo
Memorial Sloan Kettering Cancer Center
Vidant Health logo

Where Nlyte can help with Healthcare CIO Priorities

Optimizing IT systems: Data center optimization naturally leads to cost reduction. Nlyte helps with reducing energy usage and capacity planning to improve density, machine learning to enable workload optimization, automation of workflow reducing human errors and overlapping personnel, as well as prebuilt connectors tying Nlyte’s Source of Truth asset data base to Facility, IT, Finance, and other BI systems.

Data Governance: GDPR, HIPPA, and other mandated regulations demand accountability for an individual’s personal data. Nlyte provides software solutions that ensure workload infrastructure is accounted for and properly installed, while reporting user access.

Cybersecurity and malware prevention: You can’t protect what you don’t know you have. Nlyte can see all things connected to the network. It can identify if assets are installed correctly and configurations meet security standards. Then it can provide delta reporting of changed and added devices to determine it is an authorized installation.

Artificial Intelligence and Enterprise Analytics: AI and advanced analytics extend into the data center to deliver workload and energy optimization and predictive maintenance. Nlyte’s Machine Learning identifies areas to reduce excessive redundancy of systems and facility infrastructures. Additionally it provides the ability to optimize systems and user experience.

The March to the Cloud: Not all applications should go to the Public Cloud based on performance and user experience requirements. Before selecting what workloads to move you need to know what the existing costs are. Nlyte provides the data to monitor your physical infrastructure costs to help make the appropriate determination for a workload optimization initiative.

Nlyte Solutions for Healthcare

Asset Integrity Monitoring (AIM), ensures the integrity of physical assets by providing a baseline of all assets, power systems and processes in your data center or colocation facilities. It improves management and strengthens the chain-of-custody of all data center assets from procurement through decommissioning.

Data Center Infrastructure and Systems Management (DCIM and DCSM) deliver cross systems communication, workflow automation, risk reduction, and cost optimization. DCIM is a full end to end, doc to decomm solution for the entire physical compute infrastructure including Data Center, colocations, and edge computing. DCSM unifies ITIL process management, ITSM systems, and DCIM together for a unified workflow process improving automation, efficiency of disaggregated teams, and lowering operational costs across the physical compute infrastructure.

Technology Asset Monitoring (TAM) extends classic IT asset management from core compute infrastructure in the data center, to edge compute, and IoT devices. Understand set up, usage, licensing, to ensure compliance, financial tracking, and audit reliability.

Machine Learning addresses scale, complexity, and optimization requirements of modern data centers. With purpose built use cases including workload hybrid cloud optimization, predictive power and thermal, placement optimization, alarm and alert management and multivariate maintenance and failure prediction.