Capacity Management in Review: From Basics to Real-Life Use Cases and Best Practices
Welcome back to Syncsort Summer School. Take advantage of this traditionally slower business season to catch up on new technologies or trends to help you perform your job better and justify your next raise! We’re picking up this series of blog posts where we left, starting with everything you need to know about Capacity Management.
If you’re just getting started, we’ve got the perfect primer for you! This article covers the basics of capacity management. You’ll also walk away with a better understanding of how it helps align IT resources with larger business goals.
Capacity Management is Good for Business
In the age of Big Data, you need to consider tools that can improve business efficiency. Capacity management helps business to achieve two main objectives:
- Ensure capacity to keep the organization working. Beyond capacity to store files, you want to make sure your company has enough processing power to meet business requirements. Check out this customer success story for more info.
- Save the company money. See how capacity management goes straight to the bottom line with this look of a real world case study.
Your data center is a key area to consider capacity planning, if you haven’t already. Optimizing capacity utilization is just one of the suggestions we cover in our tips for maximizing data infrastructure ROI.
Capacity management can keep your mainframe cruising and bring you closer to a self-managing mainframe by helping to balance out the loss of mainframe skills as more and more mainframers head off to retirement.
Capacity management delivers a vast amount of information about IT resources and their utilization, including enabling machine learning programs to perform analytics in the background for the reporting of “Time to Live” until a resource is exhausted. The key to the performance of this analysis is the setting of thresholds, whether those thresholds are static or self-learned. (Read more on capacity management’s role in Machine Learning and AI)
Extra credit: Check out our on-demand webcast, “The Changing Landscape of Capacity Management for the Mainframe”
Keeping Your Cloud in Check
One of the benefits of cloud storage is the idea of endless space. Some assume managing capacity is no longer necessary because if you hit your limit, you just add in more capacity from this infinitely elastic cloud. But even with physical limitations removed, you’re likely still facing a financial ceiling.
Cloud capacity management can help you balance your technical and financial needs to ensure you’re getting what you need and not paying more than you should.
Implementing or maturing a capacity management process takes executive buy-in, proper planning and the tools to make it possible – and it helps when you get to enjoy a significant return on investment from the process!
Download our eBook to discover what defines a mature capacity management process and key takeaways to become best in class.
Cross-Platform Capacity Management Software
Capacity management software, such as Elevate Capacity Management, provides automation around key processes and requires little-to-no mainframe expertise to operate in a cost-effective manner.
As a cross-platform solution, Elevate Capacity Management allows organizations to bring data into a centralized Capacity Management Information System (CMIS) from all components that comprise a service and provides a 360° view of those services in a single dashboard. It also has predictive analytics that give organizations insight into how the mainframe is performing today and will perform in the future, even with changes in the hardware or the workload.
The latest release of Elevate Capacity Management provide exciting new features and capabilities to our clients and open those capabilities to organizations everywhere.