
CA Technologies announced enhancements to its DevOps portfolio that are designed to make the job of IT operations teams easier.
The enhanced monitoring solutions for Agile Operations provide the speed and scale organizations need to rapidly deploy new applications, monitor dynamic environments, and continually optimize application quality to ensure superb customer experiences.
With the new capabilities in CA Application Performance Management (CA APM) and CA Unified Infrastructure Management (CA UIM) organizations can quickly troubleshoot and triage all applications, in any infrastructure and Big Data environment. Quality of service metrics from CA UIM can also be correlated and combined with CA APM performance metrics in a single screen so that DevOps teams have an end-to-end view across applications and infrastructure.
“In today’s application economy, every business is a software business and that has real and immediate implications for the operations teams who help ensure the availability of applications,” said Mike Madden, general manager, DevOps, CA Technologies. “To stay ahead of the competition, cross-team collaboration is essential for faster deployments and constant innovation.”
CA Application Performance Management
Designed to monitor any application infrastructure, CA APM 10 features a redesigned user interface, new analytics and several new patent-pending technologies that enable role and task-based monitoring. The solution’s team center 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. DevOps teams can also more easily 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.
“Today’s multi-channel applications rely on agile infrastructure, creating unique demands for operations teams who must ensure unfaltering service reliability while handling an increasing rate of new deployments,” said Thomas Lee, vice president, Global Support Systems, Elavon. “CA APM helps us ensure that we provide the best possible customer experiences. In addition, the new role and task-relevant views in CA APM 10 further enables the collaboration needed among our DevOps teams to help fuel ongoing innovation.”
CA Unified Infrastructure Management
To remove the complexity and specialization needed to manage Big Data infrastructure, CA UIM 8.3 now provides support for Hadoop®, Cassandra NoSQL and MongoDB environments – all from a single, unified console.
CA UIM’s integration with CA Network Flow Analysis and new analytic capabilities further 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.
Customer can also leverage third party tools and download specialized probes for monitoring unique applications, devices or technologies for CA UIM at Marketplace @ CA.
The Latest
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...