
New Relic unveiled the New Relic Intelligent Observability Platform, transforming observability from ensuring uptime and reliability into a key driver of business growth and developer velocity for enterprises worldwide.
The platform is strengthened by the New Relic AI Engine to predict and prevent issues, and streamline business and IT operations with automation. With new innovations like the New Relic AI integration with GitHub Copilot, New Relic Pathpoint Plus, and New Relic Retail Solution, New Relic Intelligent Observability bridges the gap between observability best practices and tangible business outcomes.
“New Relic Intelligent Observability marks the third wave of observability—dynamic, agentic, and impactive,” said New Relic CEO Ashan Willy. “With macro trends of data explosion, AI, and a need for business and developer velocity, current observability platforms fall short. Observability must evolve to dynamically understand ever-changing environments, agentically automate operations, and show how system performance drives business impact. Intelligent Observability is the future of digital business and we’re taking the first step toward this future for our customers."
New Relic Intelligent Observability is strengthened by a sophisticated AI engine that predicts potential issues before they arise, assesses impacts, and makes intelligent recommendations to help prevent problems. The AI Engine combines two leading approaches: compound AI and agentic AI. The compound AI system uses multiple AI models, agents, and tools to tackle many types of complicated tasks. Meanwhile, agentic AI reduces the toil on developers by completing tasks and automating workflows, even with external tools. And through the natively integrated New Relic AI assistant experience, anyone—from seasoned developers to business analysts—can simply ask questions in plain language and get instant insights.
To help deliver software at scale with greater confidence, the new integration between New Relic AI and GitHub Copilot dynamically evaluates changes across the digital ecosystem. The two AI agents work together to detect issues from code changes and address them directly in the integrated development environment (IDE). This real-time response eliminates time-consuming manual processes and reduces the risk of code changes. As a result, organizations can boost developer productivity and improve software quality for the millions of organizations who rely on GitHub for software delivery.
New Relic Pathpoint Plus connects digital estate insights with business KPIs, making observability accessible to roles beyond technical teams—from customer support to business and financial leaders. New features include:
- No-code user journey modeling: For example, a media streaming company can build a custom user journey model without coding, which tracks user engagement from content discovery to playback, allowing personalized content recommendations and improved service quality.
- Playback mode: New playback for understanding historical performance and supporting root cause analysis.
- ML-enhanced business insights: New Relic alerting and anomaly detection provides an at-a-glance perspective on incidents and drill-down capability for rapid recovery.
New Relic Pathpoint Plus is also a key component for the New Relic Retail Solution that combines relevant platform capabilities such as Session Replay, Synthetics, Mobile Monitoring, User Journeys, and New Relic AI. The New Relic Retail Solution connects all retail touchpoints, whether on-site or online, to ensure retail leaders get a complete view of their hybrid business.
New Relic Intelligent Observability Platform, New Relic Pathpoint Plus and New Relic Retail Solution are available now.
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 ...