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.