Enterprises are facing problems if the infrastructure powers applications. This makes digitalization difficult to manage. Complex hybrid environments often include issues that could lead to lost revenue or damaged customer relationships!
Previously we focused on the AI-driven data center in general and gave a few tips what the enterprises could and should do now. As said before Hewlett Packard Enterprise (HPE) has the most advanced solutions for the AI-driven autonomous data center, including the vendor independent automation layer, the centralized infrastructure management and the machine learning layer.
This time we are going a little deeper into the technologies of the autonomous data center by taking a closer look how HPE Nimble Storage is functioning together with the HPE InfoSight predictive analytics platform. The platform collects data from sensors across all deployed devices and even their surrounding infrastructure, including storage, computing, networking and converged systems. Big data is needed and HPE really has it.
The predictive analytics platform analyses and correlates the data. The self-managing, self-optimizing and self-healing storage system is constantly monitoring for potential indicators of problems and proactively resolves issues. AI and machine learning capabilities learn to detect and predict technology risks as well as performance problems. Level 1 and 2 issues are resolved before customers even realize there was a problem. AI blocks interruptions and machine learning enhances by getting data why applications work slowly.
Too good to be true?
The benefits are significant for enterprises that have hundreds of applications driving true business value. Uptime and reliable performance are critical measures of success. The AI-driven data center advices IT professionals to increase storage capacity exactly when needed. Storage expertise is no longer needed. The storage’s operational reliability and the usability of applications can be improved. The solutions can be updated automatically and be utilized according to best practices.
Huge improvements can be achieved in IT efficiency and storage operational expenses. There are fewer support cases and it becomes faster to resolve complex data center issues as the entire infrastructure can be managed from a single, intelligent platform.
Sounds all very good and it would be understandable if some CIOs and IT professionals may have their doubts as they have struggled with their complex data centers for a long time. The early adapters will get optimized operability, improved storage capacity and efficient data growth management.
With the right partners and technologies availability won’t be an issue anymore!