Best Practices for Workload Automation in the Bimodal Era

by Dan Sullivan


IT operations are crucial elements of business operations. Some operations must be reliable and highly available while others are subject to near continual change in response to new business opportunities. IT departments across industries face a critical skills gap that leave us putting a premium on solutions that can be reused throughout the organization. Workload automation tools and best practices can help address these organizational needs.


Chapter 1: Why Workload Automation?


This chapter will focus on two key areas that are fundamental to understanding how workload automation can help address the evolving IT environment: challenges facing IT executives trying to manage and leverage this evolving landscape and the rise of the bimodal IT department as a response to the disparate needs of those focused on operations and those focused on innovation

Chapter 2: The Anatomy of a Workload Automation Solution


Workload automation has emerged as a solution to a long-standing but constantly evolving need in IT: the ability to perform tasks repeatedly, consistently, and reliably. Batch processing, the simplest workload processing model, is a staple of IT operations and has existed almost as long as IT itself. The applications and tools used to create and run batch jobs in the past are insufficient for today’s workloads, which are driven by dynamically changing business requirements. 

Chapter 3: The Financial Impact of Workload Automation

As the past two chapters have illustrated, workload automation is obviously beneficial for IT professionals. But what may be less obvious is just how important it is to the bottom line. Streamlining IT operations in ways that free up IT staff, improve the consistency and reliability of operations, and reduce barriers to innovation are clear advantages workload automation brings to the IT side of business. These also have direct and indirect beneficial impact on both costs and revenue streams of a business.