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Netuitive Integrates with CA APM

Netuitive’s Open IT Analytics Platform Features New Java Application Modeling Enhancing Visibility Into Critical Application Performance

Netuitive has completed an updated integration with CA Technologies market-leading Application Performance Management (APM) solution.

Netuitive is already a CA Technologies Technology Partner with additional integrations to CA Service Operations Insight and CA Infrastructure Management. The latest integration with CA APM contains new Java application modeling concepts, further enhancing CA Technologies enterprise customers’ ability to effectively manage performance of critical applications including analysis of complex Java application data.

“Netuitive’s open predictive analytics platform is highly complementary for our mutual enterprise customers focused on optimizing application performance,” said Mike Sargent, GM, Enterprise Management, CA Technologies. “By integrating Netuitive with CA APM, we have solved problems associated with analysis of complex Java application environments that can negatively impact performance of critical applications in large enterprises.”

Netuitive’s multiple integrations with CA Technologies Service Assurance solutions provide a powerful, open analytics platform for application performance monitoring, enabling the analysis and correlation of large volumes of application data, IT infrastructure and business metrics in physical, virtual and cloud environments. This supports CA Technologies goal of automating end-to-end management and visibility, including performance of critical applications, in the context of the business service being delivered to end users.

“We are pleased to further expand our ability to provide CA Technologies customers with IT analytics required for optimizing performance of mission-critical applications,” said Nicola Sanna, CEO of Netuitive. “Netuitive’s open approach combined with the CA APM integration enables monitoring and analysis of complex Java application data that was previously not possible. The result is faster time-to-value resulting from greater service level visibility into the management of critical application performance, and it will also serve as the model for complex analysis of other distributed applications.”

Netuitive’s predictive analytics software, powered by its patented Behavior Learning Engine, analyzes and correlates real-time performance and application data from multiple service assurance data sources, with underlying physical, virtual and cloud infrastructure. This enables the automation of application performance monitoring, analysis, and correlation of millions of performance data metrics consolidating them down to only meaningful alerts allowing customers to detect application and IT anomalies before they cascade into larger problems and outages.

Eight of the world’s 10 largest banks are now in production with self-learning predictive IT analytics software to predict degradations and avoid outages for their most critical applications.

Click here for more information

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Netuitive Integrates with CA APM

Netuitive’s Open IT Analytics Platform Features New Java Application Modeling Enhancing Visibility Into Critical Application Performance

Netuitive has completed an updated integration with CA Technologies market-leading Application Performance Management (APM) solution.

Netuitive is already a CA Technologies Technology Partner with additional integrations to CA Service Operations Insight and CA Infrastructure Management. The latest integration with CA APM contains new Java application modeling concepts, further enhancing CA Technologies enterprise customers’ ability to effectively manage performance of critical applications including analysis of complex Java application data.

“Netuitive’s open predictive analytics platform is highly complementary for our mutual enterprise customers focused on optimizing application performance,” said Mike Sargent, GM, Enterprise Management, CA Technologies. “By integrating Netuitive with CA APM, we have solved problems associated with analysis of complex Java application environments that can negatively impact performance of critical applications in large enterprises.”

Netuitive’s multiple integrations with CA Technologies Service Assurance solutions provide a powerful, open analytics platform for application performance monitoring, enabling the analysis and correlation of large volumes of application data, IT infrastructure and business metrics in physical, virtual and cloud environments. This supports CA Technologies goal of automating end-to-end management and visibility, including performance of critical applications, in the context of the business service being delivered to end users.

“We are pleased to further expand our ability to provide CA Technologies customers with IT analytics required for optimizing performance of mission-critical applications,” said Nicola Sanna, CEO of Netuitive. “Netuitive’s open approach combined with the CA APM integration enables monitoring and analysis of complex Java application data that was previously not possible. The result is faster time-to-value resulting from greater service level visibility into the management of critical application performance, and it will also serve as the model for complex analysis of other distributed applications.”

Netuitive’s predictive analytics software, powered by its patented Behavior Learning Engine, analyzes and correlates real-time performance and application data from multiple service assurance data sources, with underlying physical, virtual and cloud infrastructure. This enables the automation of application performance monitoring, analysis, and correlation of millions of performance data metrics consolidating them down to only meaningful alerts allowing customers to detect application and IT anomalies before they cascade into larger problems and outages.

Eight of the world’s 10 largest banks are now in production with self-learning predictive IT analytics software to predict degradations and avoid outages for their most critical applications.

Click here for more information

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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