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CA Technologies Announces New Release of CA Application Performance Management (APM)

CA Technologiesannounced a new release of CA Application Performance Management (APM) to further help organizations proactively manage the user experience of their applications so that every experience can become a loyalty-building interaction.

For quicker time to value, CA APM’s new and enhanced capabilities provide simplified management of application performance, mobile APM, support for modern languages, and product integrations to help customers use CA APM as a catalyst for DevOps.
To make it easier for users to adopt, manage and upgrade their implementation, CA APM’s new APM Command Center serves as a central hub for agent configuration.

The unique user-friendly dashboard enables users to access an inventory of thousands of agents across multiple APM clusters in one view so that they can more quickly generate diagnostic reports and diagnose agent configuration problems.

New Smart Instrumentation functionality in CA APM automatically collects transaction traces so that failures can be proactively corrected without having to recreate issues or change an application’s instrumentation. It also provides diagnostic information about the transaction error to help users better triage problems.

For comprehensive end-to-end business transaction monitoring and mobile-to-mainframe visibility, CA APM integrates mobile app and user data from the recently announced CA Mobile App Analytics (MAA). Together, the solutions provide insight into complex applications from the mobile app, into middleware/infrastructure components, to the backend database or mainframe enabling IT operations teams to easily link a mobile app user’s experience to the performance of their data center.

“More and more of today’s organizations are relying on mobile apps to help secure user loyalty and maximize potential value to customers,” said Julie Craig, Research Director, Enterprise Management Associates. “However, simply monitoring mobile devices isn’t enough to ensure that the diverse services underlying mobile apps are up and running. A comprehensive mobile APM solution tracks the user experience from the application through its supporting backend services. Such solutions are the key to understanding and improving the mobile app user experience across the entire DevOps application lifecycle.”

CA APM can also be used as a catalyst for DevOps to fuel collaboration across the organization by providing a common vocabulary for development and operations teams to analyze performance data across the application lifecycle via its integration with CA MAA. CA APM agents can be deployed through CA Release Automation to enable the collection of application and performance data much earlier in the software development cycle further enhancing an organization’s ability to proactively address issues. Also for a unified view of infrastructure and applications that impact business services, infrastructure management data from CA Unified Infrastructure Management (formerly CA Nimsoft Monitor) can be viewed and correlated within the CA APM dashboard.

“Despite the enormous complexity of today’s application delivery chain, end-users expect a flawless app experience, regardless of how, when, or where they access an app,” said John Smith, GM, Enterprise Management. “This means app issues aren’t IT issues; they’re customer satisfaction and retention issues. CA APM provides organizations with automatic visibility into each transaction across all environments so that they can proactively diagnose an issue before it affects customer experience and ultimately their business.”

In addition to providing support for Java and .Net applications, CA APM now includes support for PHP. CA Technologies is also a MongoDB Partner and has certified CA APM on MongoDB Enterprise. The CA APM MongoDB Collector integrates MongoDB metrics into CA APM for intelligent analytics, alerting and visibility in a single dashboard.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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CA Technologies Announces New Release of CA Application Performance Management (APM)

CA Technologiesannounced a new release of CA Application Performance Management (APM) to further help organizations proactively manage the user experience of their applications so that every experience can become a loyalty-building interaction.

For quicker time to value, CA APM’s new and enhanced capabilities provide simplified management of application performance, mobile APM, support for modern languages, and product integrations to help customers use CA APM as a catalyst for DevOps.
To make it easier for users to adopt, manage and upgrade their implementation, CA APM’s new APM Command Center serves as a central hub for agent configuration.

The unique user-friendly dashboard enables users to access an inventory of thousands of agents across multiple APM clusters in one view so that they can more quickly generate diagnostic reports and diagnose agent configuration problems.

New Smart Instrumentation functionality in CA APM automatically collects transaction traces so that failures can be proactively corrected without having to recreate issues or change an application’s instrumentation. It also provides diagnostic information about the transaction error to help users better triage problems.

For comprehensive end-to-end business transaction monitoring and mobile-to-mainframe visibility, CA APM integrates mobile app and user data from the recently announced CA Mobile App Analytics (MAA). Together, the solutions provide insight into complex applications from the mobile app, into middleware/infrastructure components, to the backend database or mainframe enabling IT operations teams to easily link a mobile app user’s experience to the performance of their data center.

“More and more of today’s organizations are relying on mobile apps to help secure user loyalty and maximize potential value to customers,” said Julie Craig, Research Director, Enterprise Management Associates. “However, simply monitoring mobile devices isn’t enough to ensure that the diverse services underlying mobile apps are up and running. A comprehensive mobile APM solution tracks the user experience from the application through its supporting backend services. Such solutions are the key to understanding and improving the mobile app user experience across the entire DevOps application lifecycle.”

CA APM can also be used as a catalyst for DevOps to fuel collaboration across the organization by providing a common vocabulary for development and operations teams to analyze performance data across the application lifecycle via its integration with CA MAA. CA APM agents can be deployed through CA Release Automation to enable the collection of application and performance data much earlier in the software development cycle further enhancing an organization’s ability to proactively address issues. Also for a unified view of infrastructure and applications that impact business services, infrastructure management data from CA Unified Infrastructure Management (formerly CA Nimsoft Monitor) can be viewed and correlated within the CA APM dashboard.

“Despite the enormous complexity of today’s application delivery chain, end-users expect a flawless app experience, regardless of how, when, or where they access an app,” said John Smith, GM, Enterprise Management. “This means app issues aren’t IT issues; they’re customer satisfaction and retention issues. CA APM provides organizations with automatic visibility into each transaction across all environments so that they can proactively diagnose an issue before it affects customer experience and ultimately their business.”

In addition to providing support for Java and .Net applications, CA APM now includes support for PHP. CA Technologies is also a MongoDB Partner and has certified CA APM on MongoDB Enterprise. The CA APM MongoDB Collector integrates MongoDB metrics into CA APM for intelligent analytics, alerting and visibility in a single dashboard.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.