CA Technologies' new release of CA Capacity Management integrates with CA Application Performance Management (CA APM) to help enterprises and service providers ensure an exceptional end-user experience without over-provisioning IT infrastructure.

By leveraging real production data to improve capacity planning models, the integrated solution enables IT to deliver a right-sized infrastructure to support business-critical application delivery.

“Today’s IT organizations are tasked with managing increasingly complex infrastructures comprised of physical, virtual, cloud and mainframe systems, all of which need to be optimized to deliver business-critical applications,” said Mike Sargent, GM, Service Assurance, CA Technologies.

“The predictive reliability capabilities of CA Capacity Management and CA APM help customers maintain delivery of a superior and differentiated end-user experience by allowing them to predict how applications will perform when substantial changes in the business or IT environment, such as seasonal spikes in demand, plans for growth, mergers and acquisitions, or a hardware refresh, are projected.”

CA Capacity Management helps customers run efficient and cost-effective data centers and deliver on service level agreements by reliably predicting the infrastructure needed to support business-critical systems today and into the future. When used in combination with CA APM, customers can build more accurate models and run an unlimited number of “what-if” scenarios to understand how applications will perform under different conditions.

By using capacity planning models based on real application performance data, IT can find the right combination of hardware, virtualization and cloud services to meet the needs of the business while limiting the impact to the bottom line. This helps mitigate risk because IT can reliably predict that load increases – whether seasonal or otherwise – will function properly in their environment.

The latest release of CA Capacity Management helps customers to more reliably predict and manage application performance by cloning existing workloads in order to create and reserve capacity for future projected workloads via hypothetical templates, while still optimizing capacity for current production loads.

In addition, the solution now includes the ability to understand the impacts of workload changes and the optimal infrastructure configuration to support the application environment based on those changes.

“To keep up with the increasing demand for IT services, and deliver an exceptional end-user experience while keeping within budget constraints, IT organizations must be able to proactively identify, diagnose and resolve performance problems by monitoring all transactions. IT also must be able to assess current capacity requirements while reliably predicting future growth, without having to overbuild its infrastructure and spend needlessly for hardware and cloud services that may go unused,” said Torsten Volk, senior analyst, Enterprise Management Associates. “Technologies, such as application performance management and capacity management, can help IT organizations reduce risk and keep a close eye on business-critical application performance while ensuring that capacity needs are right-sized for today’s needs and future growth.”