Netuitive Proactively Monitors Applications by Integrating Predictive Analytics with Splunk Enterprise
April 03, 2013
Share this

Netuitive announced a collaboration with Splunk to deliver a powerful, analytics-driven solution for proactive monitoring of critical applications and services.

The solution is a combination of the best-in-class capabilities of both Splunk Enterprise and Netuitive:

• A Netuitive “plug-in” lets users access the massive and disparate streams of machine data collected and aggregated in the Splunk Enterprise platform.

• Netuitive then applies its patented Behavior Learning technology to help users capture and understand normal and abnormal behavior in application environments.

• This integrated predictive analytics solution provides IT Operations staff with the capability to visualize, isolate, and proactively address performance problems in applications before they impact the business.

The Netuitive Plug-in for Splunk Enterprise is listed on SplunkBase and can be accessed here.

The joint solution has already been validated by a production deployment at a major global bank, which considers both Netuitive and Splunk Enterprise as key components of their next-generation APM strategy. The bank is using the solution to proactively monitor the performance of the single-sign-on (SSO) and access management applications – an IT service critical to the bank’s business processes and applications. The “plug-in” will be available to qualified users on Netuitive’s support site.

The solution’s development comes on the heels of a recent Gartner report outlining the growth of IT Operations Analytics (ITOA) while also noting the important role of Behavior Learning technology. The report concludes that ITOA, as part of large scale APM, will continue to grow in importance over the next five years. The report forecasts that by 2015, 60% of Global 2000 enterprises will consider ITOA a higher priority than APM, up from 20% in 2012.1

Netuitive is squarely positioned within Gartner ITOA as advanced IT analytics built upon Behavior Learning technology, making it very complementary in Gartner’s assessment.

“While application-performance-data-specific analytics capabilities have always been considered essential to a comprehensive APM solution, the last 18 months have seen an intensification of interest in cross-domain ITOA platforms,” said Will Cappelli, senior analyst for Gartner.

“The Netuitive-Splunk collaboration was market driven and is indicative of how large enterprises are migrating to next-generation APM solutions,” said Nicola Sanna, CEO of Netuitive. “Together we have created a powerful monitoring and analytics solution able to identify critical anomalies across physical, virtual and cloud computing environments. We already have a number of Netuitive prospects and customers, including large financial institutions, who have inquired about deploying the joint solution.”

“The Netuitive-Splunk integration emphasizes the strength of Splunk Enterprise as a platform for machine data,” said Bill Gaylord, Sr. VP, Business Development, Splunk. “Customers gain the benefits of aggregating and analyzing all their machine data with Splunk Enterprise as well as behavioral learning with Netuitive to automatically detect correlated data sources and find anomalous patterns. This can lead to enormous time savings during troubleshooting or root cause analysis and the proactive prevention of outages.”

Netuitive’s predictive analytics software, powered by its patented Behavior Learning Engine, correlates real-time performance and application data from a multitude of data sources to enable proactive performance management of critical applications such as trading systems, online banking, e-commerce, and retail systems.

Related Links:

The Netuitive Plug-in for Splunk Enterprise is listed on SplunkBase and can be accessed here.

Proactively monitor the performance of the single-sign-on (SSO) and access management applications

Netuitive Behavior Learning Engine

Share this

The Latest

July 24, 2024

In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...

July 23, 2024

The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...

July 22, 2024
A defective software update caused what some experts are calling the largest IT outage in history on Friday, July 19. The impact reverberated through multiple industries around the world ...
July 18, 2024

As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...

July 17, 2024

While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...

July 16, 2024

Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...

July 15, 2024

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...

July 12, 2024

In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...

July 11, 2024

Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...

July 10, 2024

Containers are a common theme of wasted spend among organizations, according to the State of Cloud Costs 2024 report from Datadog. In fact, 83% of container costs were associated with idle resources ...