CA Technologies updates DevOps tools to help boost system performance

New monitoring tools will help DevOps teams troubleshoot apps fasters, company says.
Written by Colin Barker, Contributor

CA Technologies has upgraded its DevOps portfolio, adding new capabilities to its CA Application Performance Management (CAAPM) and CA Unified Infrastructure Management (CA UIM) packages to allow organisations to quickly troubleshoot applications.

According to CA the latest version of the APM - 10 - tool is designed to integrate with any application infrastructure and is a completely redesigned upgrade for previous versions. APM 10 features a redesigned user interface, new analytics and patent-pending role-based technology, the company said.

The solution's team centre views enable users to filter complex topology maps into easily understood role and task-based views using attributes such as location, application type, business service or owner name.

Now DevOps teams can also more determine if an update impacts service quality through the visual charts that show changes to application topology, status or other attributes alongside historical performance metrics.

CA UIM aims to remove the complexity and specialisation needed to manage Big Data infrastructure, the company said. This latest version - CA UIM 8.3 - now provides support for Hadoop, Cassandra NoSQL and MongoDB environments, all from a single, unified console.

CA UIM is also an integration with CA Network Flow Analysis which is a new analytic capability to help customers "reduce mean time to repair by providing insights into application consumption and identifying high priority infrastructure performance issues before user experience is impacted", the company said.

Commenting on the development, Mike Maddon, general manager for DevOps at CA said: "To stay ahead of the competition, cross-team collaboration is essential for faster deployments and constant innovation."

Further Reading:

DevOps: How to get started and how to make it work

What is DevOps and why does it matter?

Jut takes the wraps off its DevOps data analytics hub

Editorial standards