With its roots in mainframe job scheduling, workload automation is often seen as a relic in today's age of cloud, Big Data, mobile management and DevOps. Do we even still need workload automation as a separate discipline or should we simply roll the management of batch jobs into other automation disciplines, such as IT process automation? Is the market for workload automation software stagnating or is there still potential for growth?
On the Importance of Workload Automation in the Age of Cloud and Big Data
Workload Automation: A Future Outlook
Almost all of today’s business processes are supported and complemented by enterprise IT applications. These applications are often business-critical and therefore tied to strict Service Level Agreements (SLAs). Most enterprises utilize sophisticated monitoring tools to track system health on the application, operating system, hypervisor, hardware, network resources, and storage levels. These health monitoring tools send out alerts to the administrator if any of the warning lights turn yellow or red. When all lights are green, there should be no problem.