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New Relic Digital Intelligence Platform Introduced

New Relic unveiled the New Relic Digital Intelligence Platform, a unified cloud platform providing full-stack visibility and analytics that deliver actionable insights about digital business, designed to scale with business.

The New Relic Digital Intelligence Platform enables teams to act together to resolve issues quickly, create better customer experiences, and drive better results because everyone in your business has the same end-to-end visibility into your applications and the supporting infrastructure.

“To be a successful digital business today, you need to optimize for change and effectively manage complexity. Teams must have a single source of truth to be aligned, quickly fix things when they break, and strategically understand their digital business,” said Jim Gochee, Chief Product Officer, New Relic. “The New Relic Digital Intelligence Platform is the unified source for everyone in the business to have full-stack visibility, draw actionable, real-time insights from their digital business, and scale as their business grows.”

The New Relic Digital Intelligence Platform delivers full-stack visibility from the host, through the application and end-user experience via a unified dashboard.

Delivering actionable insights to developers, operations, and product teams, the platform is designed to provide:

- Easy-to-use, powerful analytics: New Relic Insights allow anyone within the digital business to get answers quickly and understand the impact on the bottom line. New Relic’s new Unified Dashboards enable anyone to easily explore and chart all the data in the platform within New Relic Insights, and pull the out-of-the-box charts from any New Relic product with a few clicks.

- Empowering amazing customer experiences: Deeply understand customer experiences with New Relic Mobile, New Relic Browser and New Relic Synthetics. New Mobile Crash Analysis helps teams reduce the time it takes to fix app crashes by enabling developers to quickly understand the common context across their crashes, including the app screen associated with the most crashes. Teams can now prioritize which crashes to fix through advanced filtering of the out-of-the-box data processed by New Relic, such as geography, device type, app version, and filename, as well as any custom attribute. Additionally, by clicking on any crash chart to add it to New Relic Insights, product leaders can evaluate the impact of crashes alongside other key performance and product metrics.

- Performance monitoring: Quickly understand the health of your application from the code to the infrastructure underpinning it. In combination with New Relic APM, New Relic Infrastructure, announced today, provides IT operations teams unprecedented visibility into the performance of their dynamic cloud and hybrid infrastructure and the ability to effectively manage the increased rates of change being made to it to keep their digital business running optimally.

- Powerful, scalable cloud platform: Delivered via a scalable, multi-tenant cloud platform with alerting, security, administration, and a plug-ins ecosystem to connect to the rest of the enterprise. Baseline Alerting in New Relic Alerts allows for faster configuration of alerts for unknown or new applications based on historical performance. This is critical for IT operations teams to create alerts with confidence, reducing alert noise, fatigue and false positive alerts, while enabling quicker understanding of application behavior. Customers can also now create alerts based on NRQL queries, the query language for New Relic Insights. With NRQL Alerting, teams can create highly customized alerts leveraging data and analytics functions from New Relic Insights. This enables customers to customize their monitoring and alert on almost any metric or KPI providing proactive full-stack visibility across their digital business.

New Relic Infrastructure, Unified Dashboards, and Mobile Crash Analysis will be available to customers beginning November 16, 2016, in conjunction with the company’s FutureStack conference. Rollout of the new Baseline Alerting and NRQL Alerting capabilities will begin to customers on November 16, 2016.

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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 ...

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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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New Relic Digital Intelligence Platform Introduced

New Relic unveiled the New Relic Digital Intelligence Platform, a unified cloud platform providing full-stack visibility and analytics that deliver actionable insights about digital business, designed to scale with business.

The New Relic Digital Intelligence Platform enables teams to act together to resolve issues quickly, create better customer experiences, and drive better results because everyone in your business has the same end-to-end visibility into your applications and the supporting infrastructure.

“To be a successful digital business today, you need to optimize for change and effectively manage complexity. Teams must have a single source of truth to be aligned, quickly fix things when they break, and strategically understand their digital business,” said Jim Gochee, Chief Product Officer, New Relic. “The New Relic Digital Intelligence Platform is the unified source for everyone in the business to have full-stack visibility, draw actionable, real-time insights from their digital business, and scale as their business grows.”

The New Relic Digital Intelligence Platform delivers full-stack visibility from the host, through the application and end-user experience via a unified dashboard.

Delivering actionable insights to developers, operations, and product teams, the platform is designed to provide:

- Easy-to-use, powerful analytics: New Relic Insights allow anyone within the digital business to get answers quickly and understand the impact on the bottom line. New Relic’s new Unified Dashboards enable anyone to easily explore and chart all the data in the platform within New Relic Insights, and pull the out-of-the-box charts from any New Relic product with a few clicks.

- Empowering amazing customer experiences: Deeply understand customer experiences with New Relic Mobile, New Relic Browser and New Relic Synthetics. New Mobile Crash Analysis helps teams reduce the time it takes to fix app crashes by enabling developers to quickly understand the common context across their crashes, including the app screen associated with the most crashes. Teams can now prioritize which crashes to fix through advanced filtering of the out-of-the-box data processed by New Relic, such as geography, device type, app version, and filename, as well as any custom attribute. Additionally, by clicking on any crash chart to add it to New Relic Insights, product leaders can evaluate the impact of crashes alongside other key performance and product metrics.

- Performance monitoring: Quickly understand the health of your application from the code to the infrastructure underpinning it. In combination with New Relic APM, New Relic Infrastructure, announced today, provides IT operations teams unprecedented visibility into the performance of their dynamic cloud and hybrid infrastructure and the ability to effectively manage the increased rates of change being made to it to keep their digital business running optimally.

- Powerful, scalable cloud platform: Delivered via a scalable, multi-tenant cloud platform with alerting, security, administration, and a plug-ins ecosystem to connect to the rest of the enterprise. Baseline Alerting in New Relic Alerts allows for faster configuration of alerts for unknown or new applications based on historical performance. This is critical for IT operations teams to create alerts with confidence, reducing alert noise, fatigue and false positive alerts, while enabling quicker understanding of application behavior. Customers can also now create alerts based on NRQL queries, the query language for New Relic Insights. With NRQL Alerting, teams can create highly customized alerts leveraging data and analytics functions from New Relic Insights. This enables customers to customize their monitoring and alert on almost any metric or KPI providing proactive full-stack visibility across their digital business.

New Relic Infrastructure, Unified Dashboards, and Mobile Crash Analysis will be available to customers beginning November 16, 2016, in conjunction with the company’s FutureStack conference. Rollout of the new Baseline Alerting and NRQL Alerting capabilities will begin to customers on November 16, 2016.

The Latest

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 ...

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.