In today’s complex, multi-cloud environments with layers of orchestration, abstractions, and custom workflows, observability has become a team sport.
At New Relic, we understand the ecosystem you operate in is fragmented. Our goal is to give you a unified experience by acting as the system of intelligence. How? By treating partnerships not as simple integrations, but as a force multiplier.
While we pioneered APM and process petabytes of runtime-data to surface insights, our focus has expanded across the entire stack—from infrastructure and services all the way to user interactions within browsers and end user devices. We want you to have a single view of “both the trees and the forest.” When we partner to build integrations, we aren't just passing data back and forth. We are collapsing the distance between a problem and its resolution, reducing alert fatigue, and eliminating the constant context-switching between any number of different tools.
We partner with leading cloud service providers like AWS and Azure to build native services and make onboarding fast and seamless. This provides a comprehensive view of your environment by bringing in infrastructure context, mapping workloads as entities, building relationship graphs all within our industry leading APM experience. We also collaborate with platforms like ServiceNow and Atlassian to create the operational connectivity tissue that reduces mean time to resolution (MTTR) by instantly moving data from a dashboard to a ticket.
As the industry shifts towards agentic systems, New Relic’s strategy has evolved into intelligent automation, moving teams beyond simply observing problems to autonomously solving them. New Relic is a context engine for monitoring the current and next generation of applications—agents and AI. Our goal is to collapse workflows, whether you are running AI workloads in your own data centers or as hosted AI like Amazon Bedrock or Microsoft Foundry.
For developers, our recent partnership efforts with GitHub allow New Relic to detect a performance issue, automatically create a GitHub Issue with full context (metrics, stack traces, logs), and then hand it off to GitHub Copilot to draft the fix.
By supporting the Model Context Protocol (MCP) Server, New Relic allows any AI agent like GitHub Copilot, Azure SRE Agent, or the AWS DevOps Agent to exchange telemetry data and insights in real-time. This collaboration brings observability directly into the tools where our users already live.
This is what the New Relic Partner Engineering Blog Series is all about—showcasing the collaborative innovations that reduce your time to value (TTV).
Our upcoming first blog of the series is an essential read for our developer community—our recent AI Impact Report found that our customers have made a 5x increase in the ability to ship new features and updates to production. We will take you inside how our New Relic AI is integrating with the most popular IDEs and clients like Claude Code, Gemini, AWS Kiro, and Jules, bringing real-time context into the development flow. Watch this space as we unpack how these partnerships are reshaping modern observability, one integration at a time.
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The views expressed on this blog are those of the author and do not necessarily reflect the views of New Relic. Any solutions offered by the author are environment-specific and not part of the commercial solutions or support offered by New Relic. Please join us exclusively at the Explorers Hub (discuss.newrelic.com) for questions and support related to this blog post. This blog may contain links to content on third-party sites. By providing such links, New Relic does not adopt, guarantee, approve or endorse the information, views or products available on such sites.
