New Relic ushered in its next chapter of software analytics with notable product enhancements and by announcing plans to open up its software analytics cloud platform so customers can build their own “Data Apps”.
Collectively, these announcements represent a significant step forward in New Relic’s mission to make software analytics data accessible within organizations – from developers, to IT operations and beyond – to help understand and improve customer experience and drive the digital transformation in their business.
As an open software analytics data cloud, this new platform intends to give application developers the ability to create and publish custom Data Apps – applications that access and visualize key data from inside their software in real time, tailored for their needs – without having to build their own internal analytics infrastructure. Rather than cobbling together a myriad of different analytics solutions, large and small organizations will have customized access to potentially billions of data points they choose to collect, store and analyze from their organization’s software via New Relic.
“We’ve spent the better part of the past decade in pursuit of our mission to help organizations of all sizes glean actionable insights from the data they can get from their software – especially around the specific experiences of their customers. We know that when it comes to customer experience, moments matter,” said Lew Cirne, founder and CEO of New Relic. “Today, I am thrilled to be able to help businesses unlock answers to their most important questions, no matter who in the organization is asking. With New Relic’s Data Apps and the additional updates to our software analytics suite, data-driven businesses can turn to New Relic for an integrated software analytics solution. We want to make it easy for everyone to be a data nerd.”
New Relic announced it is expanding its software analytics suite to include synthetic monitoring, plus deeper stand-alone application performance management (APM) capabilities for browsers, mobile apps, as well as new real-time analytics enhancements. With these key product updates, New Relic offers a more comprehensive, full-stack software analytics platform with the ease and speed that comes from a cloud-based SaaS offering.
At FutureStack14, New Relic announced:
- New Relic Insights – General availability of new features geared for business users around cohorts and funnels, providing analysis and new visualizations for advanced segmentation of customer behavior.
- New Relic Synthetics – Later this quarter, New Relic will deliver a new automated testing solution that will help identify and prevent performance problems before they happen by simulating real-user experiences of companies’ applications.
- New Relic Browser – General availability of a new, stand-alone product giving front-end developers code-level visibility into browser-based JavaScript applications, providing for the first time performance and error diagnostics throughout the entire end user experience, even after the page loads.
- Crash Reporting for New Relic Mobile – A new capability available today that resolves the bugs that cause mobile applications to crash on users’ devices. With the addition of crash reporting, New Relic Mobile is an end-to-end mobile solution providing code-level visibility from the mobile device -- including crashes and insight into user behavior -- across the network and to the backend services powering the app.
The ability for customers to create their own Data Apps is targeted for 2015.
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...
