Optimizing Service Delivery with Automation Intelligence
The shift to the cloud has resulted in more complex workloads, more application integrations, and an increased number of tools needed to manage and monitor them. This increased complexity results in more SLA breaches with direct business impact such as decreased customer satisfaction, loss of revenue, and fines. As the move to the cloud continues, enterprise workload automation solutions need to evolve.
Easily gather business insights to improve workload modeling and predictability
Application development and workload teams need automation solutions that deliver intelligent analytics to provide visibility across workloads, regardless of whether they are running on premises, in the cloud, or across a mix of environments.
To manage and enhance service delivery, workload, and application teams require tools that provide capabilities for workload optimization, change simulation, and visualization of the entire automated business process.
