Machine learning to increase resilience

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Nlyte Software has partnered with IBM Watson IoT group to offer its first cognitive DCIM solution – Nlyte Machine Learning 

Nlyte Software is tapping into the analytical and machine-learning power of IBM Watson IoT to unlock hidden patterns from millions of environmental, power, systems, thermal and other operational data-points, to improve the process of placing and managing workloads in the data centre. 

Data centres continue to increase in complexity as they are fragmented into edge computing, containerised deployments, hybrid IT and multi-cloud environments while still being interconnected to deliver applications. 

The level of sophistication needed to optimise these facilities and ensure application performance, requires operators to collect, harness and understand a tremendous amount of data from the facilities and IT stack. The IT industry needs intuitive tools to rapidly collect and analyse information, enabling data centre operators to better understand how to manage workloads and their impact on critical facilities infrastructure.

Nlyte Software chief strategy officer Enzo Greco said: “Regardless of the type of data centre or business model, operators need to leverage analytics to minimise operating costs and understand the infrastructure where workloads are running.” 

Nlyte Machine Learning, powered by IBM Watson IoT, will address the data centre analytics issue by collecting, normalising and creating patterns of facilities and IT data and streaming the information to IBM Watson IoT. IBM Watson IoT then uses its machine-learning capabilities to extract predictive models and send the analysis back to Nlyte for a visual dashboard display of potential vulnerabilities, such as future hot server rows. 

With this information, data centre administrators can proactively identify potential future issues and preemptively move server workloads. The net result is greater control of the infrastructure with more resiliency.

Nlyte Software CEO and president Doug Sabella said: “Workload infrastructure continues to grow in importance and how an organisation manages it directly affects application performance and availability. Nlyte Machine Learning will allow organisations to incorporate critical infrastructure information to make decisions that will help reduce costs and increase performance around their application delivery.”

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