Oh, how data processing has evolved, growing in complexity and sophistication, it now spans across multiple software stacks and disparate systems. With the introduction of virtualization platforms, processes can now be run on virtualized environments as well as a physical one. As we know, virtualization allows you to use physical hardware more efficiently. That’s because often times an application is sitting “idle” and doesn’t really need all the allocated computing resources, and virtualization lets idle computing resources be re-assigned to other tasks. Virtualization technology and the advancements of Cloud Computing afford businesses significant benefits in terms of cost reduction and efficiencies resulting from consolidation and standardization.
Virtualization products allow IT departments to allocate computing resources dynamically and so they can better utilize the physical hardware and investments. But, what is also commonly known is that new IT infrastructure approach can come hand in hand with complexity and risk that traditional approaches used in IT operations are not designed to manage.
As users couple virtual machines with enterprise scheduling software and take advantage of virtual infrastructure to share computing resources on a global basis, one of the key benefits of virtual machines is that they dramatically simplify the process of migrating workloads across a network. Because virtual machines isolate applications from the details about the servers on which they are hosted, it becomes possible to move virtualized workloads from one machine to another with a minimum of disruption.
Now, most people believe enterprise schedulers are only used for business process automation, but in reality, over 50% of our customers actually do some “IT” operational tasks via their enterprise scheduler. Incorporating virtual machine management into their automated process will allow customers to dynamically instantiate computing resources when needed to support the execution of a job and de-allocate it upon completion. This approach allows a fully automated means to achieve a just-in-time computing strategy such that resources are only allocated and consumed when needed.
Consider that spinning up and spinning down a virtual machine can be done today before or after a job is run. Cool, but isn’t this way too labor intensive? When it’s incorporated as part of the process flow, it becomes a hands-off activity. Does this sound like something you need?
So as your business demands grow, and IT infrastructures transform and technology trends accelerate, your quest for expedient process optimization and your organization, system, application, virtualization and even cloud enterprise scheduling requirements become increasingly difficult to understand, analyze and communicate. Therefore, what you need is an enterprise batch job scheduling software solution that addresses these issues effectively, helping you to realize your workflow automation goals with the least amount of fuss. Check out Cisco Tidal Enterprise Scheduler because combining an enterprise job scheduler with virtualization platforms can offer a hands free elastic computing model yielding a just-in-time computing model.