Netuitive announced details about its upcoming major release, Netuitive 6.0, which features the industry’s first open API to a predictive analytics platform.
The innovations in this release improve usability and eliminate vendor lock-in by enabling extensible data integration and correlation capabilities required to achieve end-to-end application performance management (APM).
One of the biggest challenges for APM is how to quickly correlate and extract value from the vast and unmanageable amounts of data (e.g., business activity, customer experience, applications, and infrastructure) collected from a plethora of specialized monitoring tools.
“The APM market is confronted with a big data problem. As our customers have progressed in the deployment of more agents to monitor their real-time performance at the business, application and infrastructure levels, they have been confronted with a deluge of data that is humanly impossible to correlate and interpret with traditional monitoring tools,” said Nicola Sanna, CEO of Netuitive. “Netuitive 6.0 provides a leap in extensibility by providing the tools and analytics necessary to turn data from new data sources into actionable insight.”
Netuitive 6.0 delivers rapid extension capabilities to integrate with and correlate any third party data source, allowing power users and partners to meet their unique data analysis needs at their own pace.
Netuitive 6.0 provides meaningful visibility into the health of applications, automatically isolates problems across silos and domains, and delivers proactive notifications of impending performance issues.
Orbitz is a Netuitive customer who has tested Integration Studio. “Our company is rapidly growing our big data collections. With new types of data arriving weekly, the new Studio feature in the 6.0 release will let us adapt quicker, easier and better,” said Brian Devlin, Operations Engineer for Orbitz.
Netuitive 6.0 innovates in three key areas:
- Integration Studio for Unlimited Extensibility
- Most Complete View into Java Application Ecosystem
- Improved User Interface and New Algorithms for Optimized APM Diagnostics
Integration Studio
Netuitive has developed an SDK empowering users to:
- Integrate and correlate data streams from any monitoring source
- Edit the settings via UI-based configuration wizards
- Create best practices templates for integrations with new and custom data sources
On this new analytics platform, data is collected and normalized in Netuitive’s Performance Management Database (PMDB), analyzed by Netuitive’s Behavior Learning technology, with actionable outputs delivered based on the analysis.
Central to this capability are APIs enabling integration with configuration management databases, incident management, and programmatic administration of users security and policies.
Integration Studio complements Netuitive’s Open approach and broad portfolio of standard integrations with leading monitoring tools from more than 30 companies including leaders such as CA, BMC, HP, IBM, VMware, Microsoft, Compuware, EMC, NetApp, Oracle, and many others. These standard integrations embed best practices for a rapid implementation and immediate time to value.
Most Complete View Into Java Application Ecosystem
Netuitive has developed new models for complex, distributed Java applications. By introducing new managed elements types such as JVM and Web Application clusters, and then applying Behavior Learning technology to application performance, Netuitive 6.0 provides much greater visibility into Java applications running in large distributed environments while preserving relationships that power diagnostics.
The software also correlates application and infrastructure performance data together, facilitating performance troubleshooting across enterprise silos. This new modeling capability is available in the standard product with built-in best practices to deliver a rapid time to value.
Improved User Interface and New Algorithms Optimized for APM Diagnostics
Netuitive’s innovative APM graphical user interface provides real time, multi-tier visibility into application performance management across silos and domains. It takes a problem-oriented event-management approach, leveraging critical knowledge bases, to automate and categorize problems.
It then provides prescriptive advice making Netuitive’s composite alerting and health index more actionable and intuitive to understand. New algorithms have been developed to make Netuitive’s unique Trusted Alarms and health index more intuitive and easy to interpret at a glance.
Ultimately, the new features simplify troubleshooting workflow and the detection of anomalies that can lead to service degradation and outages. The combination is a game-changing leap forward in the way that analytics delivers value to IT operations.
“A major challenge of large-scale multi-vendor APM implementations is the analytics - whether integrated or provided by independent vendors. Feeding the analytics tools with relevant business and IT data sources is required to automatically build relationships, key performance indicators and service models,” said Jonah Kowall, Research Director for Gartner.
“Solutions that leverage behavior learning engines can help automate the correlation of these disparate data sources. When tooling is provided customers may extend the product to almost any data source, which helps the analytics solution to become engrained across an entire organization.”
Eight of the world’s 10 largest banks and several global service providers have deployed Netuitive’s self-learning predictive analytics software that sits on top of their traditional monitoring tools, providing a holistic view of performance across business, application, and infrastructure silos.
Hot Topic
The Latest
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 ...
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 ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...