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New Relic One Introduced

New Relic introduced New Relic One, an extension of the New Relic platform that helps DevOps teams with complex environments quickly find, visualize, and understand their data so they can take immediate action, deliver better digital experiences to customers, and drive revenue.

With New Relic One, enterprises now have the ability to connect their teams to the real-time health of their customer experience, so they can accelerate their digital business.

“DevOps teams continue to struggle with a fragmented view of their complex environments due to data about customer experiences residing in multiple systems, dashboards, and organizations. New Relic One is the industry’s first entity-centric observability platform, unifying all of a customer's data across multiple accounts so teams can see a pan-enterprise view of all of the relationships and dependencies,” said Lew Cirne, CEO and founder of New Relic. “New Relic One solves an important set of problems for our customers today, and it’s also our platform for delivering the next decade of innovation to our customers. We’re just getting started on our mission to help companies deliver more perfect software faster with New Relic One.”

New Relic One is purpose-built to transform how DevOps teams manage the performance of their digital systems. New Relic One unifies all of a customer's data across multiple accounts so each team can see a pan-enterprise, shared view of everything they instrument. In addition to seeing all their data in one place, New Relic One also empowers teams to quickly drill down into the services they are responsible for managing.

New Relic One treats everything that needs to be instrumented as an “entity” and indexes entities to track their relationships and dependencies to each other so teams have context in addition to metrics. New Relic defines entities as anything that needs to be instrumented for the success of digital business, including a microservice, mobile app, Kubernetes cluster or Lambda function to name a few. An entity emits data, and that data provides context -- including upstream and downstream dependencies -- about the internal state of the entity. During critical moments, it’s no longer enough for teams to measure metrics. Teams also need to quickly understand the relationships between entities and their interdependencies, so they can pinpoint issues faster and deliver better customer experiences. Unlike the fragmented tools that companies use today, New Relic One and its entity-centric approach to observability provides a clear, connected view of all systems, teams, and technology across a single customer’s environment.

New Relic One delivers:

- A unified, pan-enterprise view of complex environments -- New Relic One introduces new cross-account Service Maps that can automatically visualize up- and down-stream dependencies of entities, making it easy to quickly identify the root cause when troubleshooting an incident.

- A connected search and discovery platform -- New Relic One provides new global search and universal tag filtering, so teams can quickly and easily find entities across their enterprise.

- Easy-to-create, powerful dashboards -- New Relic One introduces new and improved dashboarding capabilities, enabling users to quickly create information-rich, custom dashboards that connect technical efforts and business impact. A brand new feature called chart builder makes it easy to create powerful queries with a point-and-click curated tool, complementing New Relic Query Language (NRQL). Customers’ existing dashboards in New Relic Insights will automatically appear in New Relic One for viewing and editing.

- Programmability for creating business-specific views -- New Relic One introduces the ability to quickly extend the visualizations for business- and domain-specific needs. For example, it is easy to combine store point-of-sale system data with real-time telemetry, all overlaid on a map. Operations teams can see a bird’s-eye view of their store performance across a geographic area, and they can also drill down to see the performance of a specific store that’s giving off an alert. With programmability, New Relic One can be embedded into managing the performance of an enterprise’s business.

- Unified user experience and global home page -- New Relic One delivers a new home page experience, empowering customers to see all of their performance data in one place. New Relic One sits above the existing New Relic platform of products, where users can continue to quickly zero in on problem areas for deeper exploration.

New Relic One is the home for New Relic’s latest innovations, including:

- Monitoring for AWS Lambda -- delivers the ability to monitor, visualize, troubleshoot, and alert on Lambda functions. Pro customers can now monitor Lambda performance in aggregate, or drill down into individual Lambda invocations to see traces, errors, end-to-end traces, and other troubleshooting information.

- Kubernetes cluster explorer -- provides a multi-dimensional representation of a Kubernetes cluster that allows teams to drill down into Kubernetes data and metadata in a high-fidelity, curated UI that simplifies complex environments. This existing feature is now available in the New Relic One interface.

- Distributed tracing global search -- provides a simple yet potent tool for finding traces using custom attributes or tags. As a result, teams can now work faster to solve performance issues in distributed software environments.

New Relic also announced that it plans to deliver log management and AIOps solutions in New Relic One by the end of the fiscal year.

New Relic One will go live on Wednesday, May 15, 2019 to Pro subscribers for no additional cost. Monitoring for AWS Lambda support is now generally available for Pro customers via the New Relic One interface at no charge for a limited time and in accordance with the product documentation. Kubernetes cluster explorer and distributed tracing global search are generally available for Pro customers. Additional solutions, including log management and AIOps and additional programmability features are expected to be delivered by the end of New Relic’s fiscal year.

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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 ...

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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 ...

New Relic One Introduced

New Relic introduced New Relic One, an extension of the New Relic platform that helps DevOps teams with complex environments quickly find, visualize, and understand their data so they can take immediate action, deliver better digital experiences to customers, and drive revenue.

With New Relic One, enterprises now have the ability to connect their teams to the real-time health of their customer experience, so they can accelerate their digital business.

“DevOps teams continue to struggle with a fragmented view of their complex environments due to data about customer experiences residing in multiple systems, dashboards, and organizations. New Relic One is the industry’s first entity-centric observability platform, unifying all of a customer's data across multiple accounts so teams can see a pan-enterprise view of all of the relationships and dependencies,” said Lew Cirne, CEO and founder of New Relic. “New Relic One solves an important set of problems for our customers today, and it’s also our platform for delivering the next decade of innovation to our customers. We’re just getting started on our mission to help companies deliver more perfect software faster with New Relic One.”

New Relic One is purpose-built to transform how DevOps teams manage the performance of their digital systems. New Relic One unifies all of a customer's data across multiple accounts so each team can see a pan-enterprise, shared view of everything they instrument. In addition to seeing all their data in one place, New Relic One also empowers teams to quickly drill down into the services they are responsible for managing.

New Relic One treats everything that needs to be instrumented as an “entity” and indexes entities to track their relationships and dependencies to each other so teams have context in addition to metrics. New Relic defines entities as anything that needs to be instrumented for the success of digital business, including a microservice, mobile app, Kubernetes cluster or Lambda function to name a few. An entity emits data, and that data provides context -- including upstream and downstream dependencies -- about the internal state of the entity. During critical moments, it’s no longer enough for teams to measure metrics. Teams also need to quickly understand the relationships between entities and their interdependencies, so they can pinpoint issues faster and deliver better customer experiences. Unlike the fragmented tools that companies use today, New Relic One and its entity-centric approach to observability provides a clear, connected view of all systems, teams, and technology across a single customer’s environment.

New Relic One delivers:

- A unified, pan-enterprise view of complex environments -- New Relic One introduces new cross-account Service Maps that can automatically visualize up- and down-stream dependencies of entities, making it easy to quickly identify the root cause when troubleshooting an incident.

- A connected search and discovery platform -- New Relic One provides new global search and universal tag filtering, so teams can quickly and easily find entities across their enterprise.

- Easy-to-create, powerful dashboards -- New Relic One introduces new and improved dashboarding capabilities, enabling users to quickly create information-rich, custom dashboards that connect technical efforts and business impact. A brand new feature called chart builder makes it easy to create powerful queries with a point-and-click curated tool, complementing New Relic Query Language (NRQL). Customers’ existing dashboards in New Relic Insights will automatically appear in New Relic One for viewing and editing.

- Programmability for creating business-specific views -- New Relic One introduces the ability to quickly extend the visualizations for business- and domain-specific needs. For example, it is easy to combine store point-of-sale system data with real-time telemetry, all overlaid on a map. Operations teams can see a bird’s-eye view of their store performance across a geographic area, and they can also drill down to see the performance of a specific store that’s giving off an alert. With programmability, New Relic One can be embedded into managing the performance of an enterprise’s business.

- Unified user experience and global home page -- New Relic One delivers a new home page experience, empowering customers to see all of their performance data in one place. New Relic One sits above the existing New Relic platform of products, where users can continue to quickly zero in on problem areas for deeper exploration.

New Relic One is the home for New Relic’s latest innovations, including:

- Monitoring for AWS Lambda -- delivers the ability to monitor, visualize, troubleshoot, and alert on Lambda functions. Pro customers can now monitor Lambda performance in aggregate, or drill down into individual Lambda invocations to see traces, errors, end-to-end traces, and other troubleshooting information.

- Kubernetes cluster explorer -- provides a multi-dimensional representation of a Kubernetes cluster that allows teams to drill down into Kubernetes data and metadata in a high-fidelity, curated UI that simplifies complex environments. This existing feature is now available in the New Relic One interface.

- Distributed tracing global search -- provides a simple yet potent tool for finding traces using custom attributes or tags. As a result, teams can now work faster to solve performance issues in distributed software environments.

New Relic also announced that it plans to deliver log management and AIOps solutions in New Relic One by the end of the fiscal year.

New Relic One will go live on Wednesday, May 15, 2019 to Pro subscribers for no additional cost. Monitoring for AWS Lambda support is now generally available for Pro customers via the New Relic One interface at no charge for a limited time and in accordance with the product documentation. Kubernetes cluster explorer and distributed tracing global search are generally available for Pro customers. Additional solutions, including log management and AIOps and additional programmability features are expected to be delivered by the end of New Relic’s fiscal year.

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 ...