New Relic has announced a suite of integrations with Amazon Web Services (AWS). Known for its platform approach to system observability, New Relic’s monitoring and debugging tools span metric, logs, events and traces (MELT)-level analysis of applications and infrastructure.
Although there are core observability capabilities in AWS DevOps Agent (an autonomous frontier agent) and a degree of these functions in Amazon Quick Suite (a business user task automation service), New Relic is integrating with both specific services to provide pathways to incident root causes so they can be fixed faster.
The rationale for the work here seeks to provide users at different levels with the observability services they need in the right place, i.e., directly within their workflows.
Delivering Deeper DevOps
As such, the companies jointly state that integrations meet AWS developers, DevOps engineers, SREs and tier 1 and tier 2 incident responders where they work so businesses can securely accelerate AI and agentic workflows, optimize operations and reduce mean time to resolution (MTTR).
To forge this expanded union of technologies, New Relic is integrating its MCP Server with the two AWS-branded services noted and, additionally, the company is bringing enterprise data from the Amazon Q index into New Relic AI, so that teams can connect technical failures to business impact. As a side order, New Relic also unveiled Security RX Cloud to unify customers’ security and posture management.
“As organizations increasingly adopt AI and agentic workforces, leaders realize that observability isn’t optional – it’s a prerequisite for running AI in production,” said Brian Emerson, chief product officer at New Relic. “Our integrations with AWS harness the power of agentic AI to predict issues so businesses can go beyond the black box with full-stack AI observability to speed up troubleshooting and decision making. This fosters business growth and agentic AI in production at scale.”
Fragmented Workflows Without Context
As AI spending continues to mushroom, New Relic argues that software engineering teams face fragmented workflows and lack context. This may be down to the growth of unsanctioned shadow AI, it may be down to poor architectural planning at the AI project inception stage, or it may simply be as a result of these still-nascent tools not being fully stress-tested inside working enterprise data systems.
New Relic suggests that it sees these shortfalls and has thus extended its unified Intelligent Observability Platform and its MCP Server to help address these challenges for AWS customers.
The New Relic MCP Server allows popular AI assistants and agents to access detailed observability insights directly, embedding them into engineers’ workflows and making them more quickly actionable. When an alert fires, AWS DevOps Agent calls the New Relic MCP Server, which generates and delivers observability, including root cause analysis and business context for the alert, to help the solution propose and execute mitigation actions.
Because the New Relic MCP Server integrates with Amazon Quick Suite, an application triggers the New Relic MCP Server when an alert fires, resulting in the same telemetry information that helps expedite incident management. AWS customers can expect to reduce manual toil and speed up incident resolution.
Slowed Down By Silos
According to Emerson and team, “DevOps engineers, SREs, or tier 1 and tier 2 incident responders dealing with an incident often struggle to gather context from several different siloed systems, delaying resolution times as they manually search resources for deployment notes or playbooks. Agentic AI tools also lack the organization-specific context to provide enterprise-level compliance guardrails. To solve these challenges, New Relic AI now integrates with Amazon Q index.”
When an engineer asks a natural language question in New Relic AI, it invokes the Amazon Q index, which contains the organization’s enterprise data. The index responds with relevant information and the New Relic AI generates what it says is a “coherent answer” based on the initial query. This gives SREs a complete picture of an incident’s technical and business impact in one place, so they can resolve it faster.
Given the huge number of software tools that exist inside a typical enterprise, bringing security posture services inside individual developers’ workflows would appear to be a sensible move, as long as the action itself doesn’t create further disconnects. The fact that New Relic and AWS have worked to ensure the result is a managed search service that securely retrieves and consolidates enterprise data through a single API call could be the central part of this unification story that makes the difference.
