Story image

Nlyte Software releases cognitive DCIM solution with IBM Watson IoT

03 May 18

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.

In turn, the level of sophistication needed to optimise these facilities and ensure application performance requires operators to collect and understand a tremendous amount of data from the facilities and IT stack.

Thus, “operators need to leverage analytics to minimise operating costs and understand the infrastructure where workloads are running,” Nlyte Software chief strategy officer Enzo Greco says.

With this in mind, data centre infrastructure management (DCIM) company, Nlyte Software, has partnered with the IBM Watson IoT group to offer its first cognitive DCIM solution.

Aiming to improve the process of placing and managing workloads in the data centre, Nlyte Machine Learning uses the analytical and machine-learning capabilities of IBM Watson IoT to access hidden patterns from environmental, power, systems, thermal and other operational data-points.

Greco argues, “Nlyte has always been the thought leader that brought together facilities and IT operations.”

“The next step in this evolution is applying IBM Watson IoT’s leading machine-learning capabilities to head-off potential power and performance issues while also optimizing workload infrastructure operations and ultimately workload placement.”

Nlyte Machine Learning collects, normalises and creates patterns of IT data and then streams 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 identify potential future issues and preemptively move server workloads. The ultimate result is greater control of the infrastructure with more resiliency and increased reliability.

CEO and president of Nlyte Software Doug Sabella also comments: “Workload infrastructure continues to grow in importance and how an organization manages it directly affects application performance and availability.”

“Nlyte Machine Learning will allow organisations to incorporate critical infrastructure information to make actionable decisions that will help reduce costs and increase performance around their application delivery.”

Dimension Data nabs three Cisco partner awards
Cisco announced the awards, including APJ Partner of the Year, at a global awards reception during its annual partner conference.
WatchGuard’s eight (terrifying) 2019 security predictions
The next evolution of ransomware, escalating nation-state attacks, biometric hacking, Wi-Fi protocol security, and Die Hard fiction becomes reality.
Why the adoption of SAP is growing among SMEs
Small and medium scale enterprises are emerging as lucrative end users for SAP.
Exclusive: How the separation of Amazon and AWS could affect the cloud market
"Amazon Web Services is one of the rare companies that can be a market leader but remain ruthlessly innovative and agile."
HPE extends cloud-based AI tool InfoSight to servers
HPE asserts it is a big deal as the system can drive down operating costs, plug disruptive performance gaps, and free up time to allow IT staff to innovate.
Digital Realty opens new AU data centre – and announces another one
On the day that Digital Realty cut the ribbon for its new Sydney data centre, it revealed that it will soon begin developing another one.
A roadmap to AI project success
Five keys preparation tasks, and eight implementation elements to keep in mind when developing and implementing an AI service.
The future of privacy: What comes after VPNs?
"75% of VPN users said they are seeking a better solution for cloud networks."