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Netuitive Joins CA Technologies Technology Partner Program

Predictive Analytics Integration with CA Delivers Big Picture View of IT Performance and Service Assurance

Netuitive, a provider of predictive analytics software for IT, has joined CA Technologies Technology Partner Program and completed an integration with CA Service Operations Insight to provide large enterprises with a big picture view of the performance of their critical applications and IT infrastructure underpinning it.

The integration of Netuitive’s open, predictive IT analytics technology with CA Service Operations Insight provides a powerful analytics platform for business service management (BSM) and application performance monitoring enabling the correlation of large volumes of application data, IT infrastructure and business metrics in physical, virtual and cloud environments.

Netuitive will be exhibiting and showcasing integrations with CA Service Operations Insight, as well as integrations with CA Application Performance Management and CA Infrastructure Management, at CA World in Las Vegas (booth #221), November 13 – 16.

The Netuitive partnership 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.

The intelligence provided by Netuitive’s predictive analytics also complements CA Service Operations Insight ability to provide dynamic service modeling and service quality and risk analysis, one of the solutions newest features.

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 in CA Service Operations Insight, allowing customers to detect application and IT anomalies before they cascade into larger problems and outages.

“Netuitive’s Behavior Learning engine and predictive analytics platform is highly complementary for our mutual enterprise customers focused on optimizing service assurance,” said Mike Sargent, GM, Service Assurance, CA Technologies. “By integrating Netuitive with CA Service Operations Insight, we have the intelligence required for comprehensive business service management and application performance management in large heterogeneous enterprises.”

“We look forward to continuing our partnership with CA Technologies with the mutual goal of optimizing performance of mission-critical applications for the world’s largest companies,” said Nicola Sanna, CEO of Netuitive. “Together, we ensure service level visibility and quality of experience for critical applications to protect revenue opportunities, increase end-user productivity, and customer satisfaction.”

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Netuitive Joins CA Technologies Technology Partner Program

Predictive Analytics Integration with CA Delivers Big Picture View of IT Performance and Service Assurance

Netuitive, a provider of predictive analytics software for IT, has joined CA Technologies Technology Partner Program and completed an integration with CA Service Operations Insight to provide large enterprises with a big picture view of the performance of their critical applications and IT infrastructure underpinning it.

The integration of Netuitive’s open, predictive IT analytics technology with CA Service Operations Insight provides a powerful analytics platform for business service management (BSM) and application performance monitoring enabling the correlation of large volumes of application data, IT infrastructure and business metrics in physical, virtual and cloud environments.

Netuitive will be exhibiting and showcasing integrations with CA Service Operations Insight, as well as integrations with CA Application Performance Management and CA Infrastructure Management, at CA World in Las Vegas (booth #221), November 13 – 16.

The Netuitive partnership 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.

The intelligence provided by Netuitive’s predictive analytics also complements CA Service Operations Insight ability to provide dynamic service modeling and service quality and risk analysis, one of the solutions newest features.

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 in CA Service Operations Insight, allowing customers to detect application and IT anomalies before they cascade into larger problems and outages.

“Netuitive’s Behavior Learning engine and predictive analytics platform is highly complementary for our mutual enterprise customers focused on optimizing service assurance,” said Mike Sargent, GM, Service Assurance, CA Technologies. “By integrating Netuitive with CA Service Operations Insight, we have the intelligence required for comprehensive business service management and application performance management in large heterogeneous enterprises.”

“We look forward to continuing our partnership with CA Technologies with the mutual goal of optimizing performance of mission-critical applications for the world’s largest companies,” said Nicola Sanna, CEO of Netuitive. “Together, we ensure service level visibility and quality of experience for critical applications to protect revenue opportunities, increase end-user productivity, and customer satisfaction.”

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. And while predictive IT analytics has been around for years, allowing enterprises to automate manual and rules based processes for physical environments, it was not until the advent of virtualization where these adaptive, self-learning approaches found their home and are now proving to excel in correlating real-time performance data across large heterogeneous IT environments.

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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 ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul

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