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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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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...