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New Relic Infinite Tracing Updated

New Relic launched a major update to New Relic Infinite Tracing, its fully managed tracing solution that can analyze 100% of customer tracing data for rapid performance bottleneck isolation.

The launch includes two major innovations that help engineering teams across the globe.

First, front-end and full-stack developers can now analyze distributed traces generated by browser, mobile, and serverless applications along with their back-end services for full-stack visibility.

Second, customers in US, Europe, Asia, and Australia can use in-region trace observers — key in-region edge services that enable Infinite Tracing — to access the capability at low cloud egress costs while meeting region-specific compliance requirements. New Relic customers on Pro and Enterprise plans can get started for no additional charge, as the capabilities are included with the all-in-one New Relic observability platform with simple and predictable usage-based pricing.

New Relic Infinite Tracing delivers a tail-based sampling solution which allows customers to send 100% of their trace data and decide which traces to retain after all spans have been analyzed.

“I am proud that we continue to deliver for our customers with more options and capabilities for Infinite Tracing,” said Alex Kroman, SVP and Product GM, Observability at New Relic. “By expanding the service to new regions and supporting tail-based sampling for browser, mobile, and serverless traces — in addition to application traces — we are helping our customers around the world to quickly and cost-effectively isolate failures and performance issues, enabling them to consistently deliver world-class customer experiences.”

New enhancements and benefits of New Relic Infinite Tracing include:

- EU & APAC Availability: Access to New Relic Infinite Tracing is now available to all customers in the European Union and Asia-Pacific regions. Customers can send all their traces to a regional service to decide what data to send to New Relic. This ensures customers have a low egress cost for tail-based sampling while also addressing regional compliance requirements.

- Browser, Mobile, and Serverless Support: View traces from the entire software stack with support for browser, mobile, and AWS Lambda. Front-end developers and cloud architects can now specify the types of browser, mobile, or serverless traces they care about and never miss a trace again.

- Instant All-in-One Access: All current New Relic customers on Pro or Enterprise plans can set up New Relic Infinite Tracing in minutes with no additional changes to their existing contract. New customers can get started with distributed tracing for free by creating a new account without needing to enter a credit card.

New Relic Infinite Tracing is generally available across all global regions as part of the New Relic platform.

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New Relic Infinite Tracing Updated

New Relic launched a major update to New Relic Infinite Tracing, its fully managed tracing solution that can analyze 100% of customer tracing data for rapid performance bottleneck isolation.

The launch includes two major innovations that help engineering teams across the globe.

First, front-end and full-stack developers can now analyze distributed traces generated by browser, mobile, and serverless applications along with their back-end services for full-stack visibility.

Second, customers in US, Europe, Asia, and Australia can use in-region trace observers — key in-region edge services that enable Infinite Tracing — to access the capability at low cloud egress costs while meeting region-specific compliance requirements. New Relic customers on Pro and Enterprise plans can get started for no additional charge, as the capabilities are included with the all-in-one New Relic observability platform with simple and predictable usage-based pricing.

New Relic Infinite Tracing delivers a tail-based sampling solution which allows customers to send 100% of their trace data and decide which traces to retain after all spans have been analyzed.

“I am proud that we continue to deliver for our customers with more options and capabilities for Infinite Tracing,” said Alex Kroman, SVP and Product GM, Observability at New Relic. “By expanding the service to new regions and supporting tail-based sampling for browser, mobile, and serverless traces — in addition to application traces — we are helping our customers around the world to quickly and cost-effectively isolate failures and performance issues, enabling them to consistently deliver world-class customer experiences.”

New enhancements and benefits of New Relic Infinite Tracing include:

- EU & APAC Availability: Access to New Relic Infinite Tracing is now available to all customers in the European Union and Asia-Pacific regions. Customers can send all their traces to a regional service to decide what data to send to New Relic. This ensures customers have a low egress cost for tail-based sampling while also addressing regional compliance requirements.

- Browser, Mobile, and Serverless Support: View traces from the entire software stack with support for browser, mobile, and AWS Lambda. Front-end developers and cloud architects can now specify the types of browser, mobile, or serverless traces they care about and never miss a trace again.

- Instant All-in-One Access: All current New Relic customers on Pro or Enterprise plans can set up New Relic Infinite Tracing in minutes with no additional changes to their existing contract. New customers can get started with distributed tracing for free by creating a new account without needing to enter a credit card.

New Relic Infinite Tracing is generally available across all global regions as part of the New Relic platform.

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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 ...