Use Case Descriptions
Requirements and Challenges
Driven by competition, IT managers often look for inefficiencies that can be eliminated to improve service and lower costs. One source of inefficiency that has mostly remained unexplored before now relates to disk failures. Disk failures commonly occur without any warning, and when they do occur, they can result in a significant drop in performance and threaten service-level agreements (SLAs). This performance drop accompanies the rebuilding phase immediately after a faulty disk is replaced. In some occasions, multiple drive failures can lead to risks of data loss.
Federator.ai addresses disk failures by using artificial intelligence (AI) to accurately predict disk failures long before they occur. With weeks of advance warning before a disk’s failure, IT staff can replace the disk before it fails in a way that reduces disruption, minimizing any performance impact. Being able to replace disks before they fail to remove potential threats to performance SLAs, and as an added benefit, it provides an additional buffer of protection against the danger of data loss. Federator.ai also integrates into VMware vSphere environment built on vSAN ReadyNode storage nodes to provide predictive analytics of the full stack from hardware to applications.
Disk failure and degradation prediction
Maintaining Performance SLAs through Disk-Replacement Plans
Predictive Analytics to Forecast Future Performance
Resource Monitoring for VMware vSAN