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New Relic Achieves AWS Outposts Ready Designation

New Relic One continues to offer full observability across your entire AWS architecture

New Relic achieved the AWS Outposts Ready designation, part of the Amazon Web Services (AWS) Service Ready Program.

This designation recognizes that New Relic One has demonstrated successful integration with AWS Outposts deployments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience.

Achieving the AWS Outposts Ready designation differentiates New Relic as an AWS Partner Network (APN) member with a product fully tested on AWS Outposts. AWS Outposts Ready products are generally available and supported for AWS customers, with clear deployment documentation for AWS Outposts. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity.

Brian Barry,VP Alliances at New Relic: “Many of our customers are managing complex hybrid environments and value the consistency in their AWS and on-premises operational tool-chain.”

“Many companies are modernizing their application performance monitoring systems by leveraging SaaS based solutions,” said Joshua Burgin, GM, AWS Outposts, Amazon Web Services, Inc. “We are delighted to welcome New Relic to the AWS Outposts Ready Program. New Relic One can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”

To support the seamless integration and deployment of AWS Outposts ready solutions, AWS established the AWS Outposts Ready Program to help customers identify products integrated with AWS Outposts and spend less time evaluating new tools, and more time scaling their use of products that are integrated with AWS Outposts deployments.

As companies continue to migrate from on-premises to the cloud, operation teams can promote consistency in their operational tool-chain in order to simplify their stack and reduce complexity in their infrastructure management with New Relic. New Relic One is the most powerful cloud-based observability platform built to help customers create more perfect software. Engineering teams around the world rely on New Relic One to improve uptime and performance, achieve greater scale and efficiency, and accelerate time to market. It includes everything organizations need to achieve observability:

- Telemetry Data Platform to collect, visualize, and alert on all types of application and infrastructure data at petabyte scale. It is designed to be the single source of truth for all operational data.

- Full-Stack Observability to easily analyze and troubleshoot the entire software stack across APM, infrastructure, logs, and digital customer experience in one connected experience.

- Applied Intelligence to detect, understand, and resolve incidents faster.

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New Relic Achieves AWS Outposts Ready Designation

New Relic One continues to offer full observability across your entire AWS architecture

New Relic achieved the AWS Outposts Ready designation, part of the Amazon Web Services (AWS) Service Ready Program.

This designation recognizes that New Relic One has demonstrated successful integration with AWS Outposts deployments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience.

Achieving the AWS Outposts Ready designation differentiates New Relic as an AWS Partner Network (APN) member with a product fully tested on AWS Outposts. AWS Outposts Ready products are generally available and supported for AWS customers, with clear deployment documentation for AWS Outposts. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity.

Brian Barry,VP Alliances at New Relic: “Many of our customers are managing complex hybrid environments and value the consistency in their AWS and on-premises operational tool-chain.”

“Many companies are modernizing their application performance monitoring systems by leveraging SaaS based solutions,” said Joshua Burgin, GM, AWS Outposts, Amazon Web Services, Inc. “We are delighted to welcome New Relic to the AWS Outposts Ready Program. New Relic One can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”

To support the seamless integration and deployment of AWS Outposts ready solutions, AWS established the AWS Outposts Ready Program to help customers identify products integrated with AWS Outposts and spend less time evaluating new tools, and more time scaling their use of products that are integrated with AWS Outposts deployments.

As companies continue to migrate from on-premises to the cloud, operation teams can promote consistency in their operational tool-chain in order to simplify their stack and reduce complexity in their infrastructure management with New Relic. New Relic One is the most powerful cloud-based observability platform built to help customers create more perfect software. Engineering teams around the world rely on New Relic One to improve uptime and performance, achieve greater scale and efficiency, and accelerate time to market. It includes everything organizations need to achieve observability:

- Telemetry Data Platform to collect, visualize, and alert on all types of application and infrastructure data at petabyte scale. It is designed to be the single source of truth for all operational data.

- Full-Stack Observability to easily analyze and troubleshoot the entire software stack across APM, infrastructure, logs, and digital customer experience in one connected experience.

- Applied Intelligence to detect, understand, and resolve incidents faster.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...