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New Relic Announces Integrations with AWS

New Relic announced a suite of integrations with Amazon Web Services (AWS) that deliver New Relic's AI capabilities and observability insights directly to AWS AI services. 

The 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).

New Relic deepens its AWS collaboration by integrating its MCP Server with AWS DevOps Agent and Amazon Quick Suite to reduce manual toil and speed up incident resolution. Additionally, the company is bringing enterprise data from the Amazon Q index into New Relic AI, enabling users to connect technical failures to business impact. 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 New Relic Chief Product Officer Brian Emerson. “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 trouble-shooting and decision making. This fosters business growth and agentic AI in production at scale.”

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 quickly actionable. Thanks to the new integration, when an alert fires, AWS DevOps Agent calls the New Relic MCP Server which generates and delivers intelligent observability insights, including root cause analysis and business context for the alert, to help the solution propose and execute mitigation actions.

The New Relic MCP Server now also integrates with Amazon Quick Suite. The application triggers the New Relic MCP Server when an alert fires, resulting in the same intelligent telemetry insights that help expedite incident management. AWS customers can expect to dramatically reduce manual toil, speeding up incident resolution and maximizing business uptime.  

New Relic AI also integrates with Amazon Q index, a fully managed search service that securely retrieves and consolidates enterprise data through a single API call. The integration enables New Relic AI to access key information from across an enterprise’s data sets to provide deep insights and analysis during an incident. 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 back with relevant information, and the New Relic AI generates 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.

New Relic Monitoring for SAP Solutions is now available in AWS Marketplace. It features a native connector to SAP systems and non-SAP systems, clouds, processes and experiences to provide predictive and complete insights — without deploying agents in SAP. This eliminates business process interruptions related to SAP systems that cost time and money for customers to resolve.

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New Relic Announces Integrations with AWS

New Relic announced a suite of integrations with Amazon Web Services (AWS) that deliver New Relic's AI capabilities and observability insights directly to AWS AI services. 

The 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).

New Relic deepens its AWS collaboration by integrating its MCP Server with AWS DevOps Agent and Amazon Quick Suite to reduce manual toil and speed up incident resolution. Additionally, the company is bringing enterprise data from the Amazon Q index into New Relic AI, enabling users to connect technical failures to business impact. 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 New Relic Chief Product Officer Brian Emerson. “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 trouble-shooting and decision making. This fosters business growth and agentic AI in production at scale.”

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 quickly actionable. Thanks to the new integration, when an alert fires, AWS DevOps Agent calls the New Relic MCP Server which generates and delivers intelligent observability insights, including root cause analysis and business context for the alert, to help the solution propose and execute mitigation actions.

The New Relic MCP Server now also integrates with Amazon Quick Suite. The application triggers the New Relic MCP Server when an alert fires, resulting in the same intelligent telemetry insights that help expedite incident management. AWS customers can expect to dramatically reduce manual toil, speeding up incident resolution and maximizing business uptime.  

New Relic AI also integrates with Amazon Q index, a fully managed search service that securely retrieves and consolidates enterprise data through a single API call. The integration enables New Relic AI to access key information from across an enterprise’s data sets to provide deep insights and analysis during an incident. 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 back with relevant information, and the New Relic AI generates 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.

New Relic Monitoring for SAP Solutions is now available in AWS Marketplace. It features a native connector to SAP systems and non-SAP systems, clouds, processes and experiences to provide predictive and complete insights — without deploying agents in SAP. This eliminates business process interruptions related to SAP systems that cost time and money for customers to resolve.

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Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

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My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

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