New Relic, the Intelligent Observability Platform, is announcing an integration between New Relic AI—New Relic’s in-platform generative AI (GenAI) assistant—and Amazon Q Business, AWS’ GenAI-powered assistant for finding information, gaining insight, and taking action at work. Propelled by the goal of affording enterprises both visibility and actionable, intelligent insights on their operational infrastructures, New Relic and AWS’ integration drives fast, intelligent, cost-effective business operations amid increasingly complex data environments.
This collaboration emphasizes the resolution of two key pain points: highly siloed, manual workflows and complex issue resolution. Due to the proliferation of data, tools, and teams, maintaining proper control over enterprise operations is a difficult feat.
“Everybody moved into this mode of being the place where all of your data comes together. [But] it's a bunch of dashboards,” explained Nic Benders, GVP and chief architect at New Relic. “We dreamed of creating a database big enough to put all of your telemetry in; and, what now? I have too much data. I can't understand it, not for a lack of data, but because there's too much. There's no amount of dashboard widgets or alerts that I can configure…[that’s] going to cover every use case of my technology and my business, the way these things intersect.”
This intersectionality of business—between tools and knowledge sources—can lead to missed service level agreements (SLAs), slow incident mitigation, and general confusion, impacting operational efficiency, according to New Relic.
To address this challenge, New Relic and Amazon Q Business’ integration analyzes complex data and centralizes these insights into a single Amazon Q Business interface, serving to break down team siloes, streamline workflows, accelerate time-to-resolution, and automate incident response. Powered by AI, New Relic delivers real-time production information—such as errors, logs, traces, security vulnerabilities, and alerts—directly into Amazon Q Business, where users are given actionable recommendations based on current performance data and historical trends and best practices while eliminating burdensome context-switching.
According to Manav Khurana, chief product officer at New Relic, “switching tools and context is one of the most painful problems enterprises face in modern incident response. Data and knowledge can end up in silos, making it hard to understand what your tools are telling you and when to escalate problems.”
“Together, New Relic and AWS are helping enterprises improve their business workflows and outcomes with AI. Bringing observability directly into the business application workflow is a game changer for gaining fast insights and intelligent recommendations on complex data so you can troubleshoot in real-time,” Khurana continued.
“New Relic is not only offering you visibility into the system, the data from your system, and other things coming together, but actually offering you insights and intelligence as to…what's going on [and] here's what you should do about it by connecting it into these other systems,” added Benders.
Increasing the fluidity of observability while enhancing enterprise productivity is fundamental to this collaboration. With natural language, users can access information, generate summaries, and complete tasks regardless of skill level, in a secure manner. Coordination between Amazon Q Business and New Relic AI automates research and incident response tasks, reducing the level of manual labor and human error associated with operational processes, according to the companies.
Incident response is further enhanced with alert intelligence reporting, where enterprises can package advanced insights and intelligent recommendations into the core of the application, serving to mitigate negative business impacts caused by incidents.
To learn more about New Relic’s latest collaboration with AWS, please visit https://newrelic.com/.