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
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 ...
High-business-impact outages are costly, and a fast MTTx (mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR)) is crucial, with 62% of businesses reporting a loss of at least $1 million per hour of downtime ...
Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic ...
Splunk's latest research reveals that companies embracing observability aren't just keeping up, they're pulling ahead. Whether it's unlocking advantages across their digital infrastructure, achieving deeper understanding of their IT environments or uncovering faster insights, organizations are slashing through resolution times like never before ...
A majority of IT workers surveyed (79%) believe the current service desk model will be unrecognizable within three years, with nearly as many (77%) saying new technologies will render it "redundant" by 2027, according to The Death (and Rebirth) of the Service Desk from Nexthink ...
