Workload Automation in the Era of Cloud, Big Data, Analytics, DevOps and Mobile Management

Job scheduling is often perceived as a commodity and cost center. This perception is entirely denying the business impact of this critical data center discipline. In today’s age of cloud, big data, DevOps, analytics and mobile management, job scheduling is confronted with a host of new requirements, making it increasingly harder to ensure SLA-compliance with existing scheduling software.

Join EMA Research Director, Torsten Volk, for a 30-minute Webinar that will examine how job scheduling is currently evolving to take its rightful place as a business critical discipline that ties together applications, data and processes.

Attend this Webinar to learn:

  • How big data, DevOps, enterprise mobility, analytics and cloud are changing workload automation requirements
  • How your peers currently benefit from private and public cloud in job scheduling
  • What the key obstacles are for placing workloads into the cloud
  • How analytics can be used to better manage workloads in a SLA compliant manner
  • What the opportunities are of mobile monitoring and management of job workflows
  • How your peers manage workloads throughout the delivery lifecycle
  • What the current role of analytics in workload automation is and how analytics can be used in the future
  • In what ways cloud, enterprise mobility, DevOps and big data require organizations to modernize their workload automation tools
  • To what degree workload automation will converge with IT process automation and why

Please note that this is a sponsored event and EMA shares registrant information with the sponsor.

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Duration: 45 minutes

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