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Technology / AI and automation

CA announce Predictive Analytics in CA Capacity Management

CA Technologies, which beat its predicted profits last month, has announced a new release of CA Capacity Management.

The company said it can enables enterprises and service providers to provide more reliable business services by better predicting the optimal resources needed to support applications that reside in mainframe, distributed, virtual and/or hybrid cloud environments.

The solution’s new analytical capabilities are also claimed to provide data that can help organizations reduce data centre costs and risk, and improve business agility.

According to ‘IT Optimisation through Predictive Capacity Management’, an Enterprise Management Associates white paper commissioned by CA Technologies, "real-time configuration, performance, and utilisation data constitutes the baseline for any accurate capacity calculation…When analysing [this] data, it is essential to not only take a look at peak and average activity, but also include mid and long-term resource usage patterns. This information helps the IT department understand how workloads are currently growing and how they might contend for resources in the future. To ensure accuracy, capacity management software must include algorithms to validate the quality and completeness of the imported data."

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CA Capacity Management provides "advanced scalability and capacity analysis for the cross-platform enterprise to provide customers with the prescriptive insight needed to make informed business decisions to enhance quality of service and quality of experience."

"Virtualisation and cloud computing have raised a variety of challenges for companies in managing the performance of business services. They need to anticipate how their applications will perform in new environments; if they have adequate infrastructure capacity to deliver on their SLAs; when they will need to bring additional infrastructure on-line to support demand; and whether these services are being delivered as efficiently as possible," said Rick Fitz, senior VP, Product Management, Service Assurance, CA Technologies.

"The new predictive analytics capabilities in CA Capacity Management provide the insight that help IT organisations ensure the delivery of high quality, reliable services while optimising their investment in supporting infrastructure and freeing up investment for other innovative projects."

Customers can use the operational intelligence of CA Capacity Management to determine the impact on performance, capacity and response time as a result of changing workloads, configurations and platforms. These platforms include public cloud vendors, such as Amazon, Microsoft, Rackspace, Savvis and VerizonTerremark; virtualization platforms, such as VMware; and hardware/OS environments, including Windows, Linux on either Intel or AMD, and z/OS on the mainframe.

"Cost analysis is very important to customers in their cloud migration initiatives and it is very cool to be able to see utilisation and costlevels when comparing cloud vendor platforms for migration efforts in the new release of CA Capacity Management," said Torsten Volk, research director, Systems Management, Enterprise Management Associates.

"The new enhancements in the latest release of CA Capacity Management are in-line with what my current field research is producing. It is essential for organisations to take advantage of a capacity planning and analysis tool such as CA Capacity Management, especially when deploying cloud solutions."
This article is from the CBROnline archive: some formatting and images may not be present.