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New Relic and Grafana Labs Partner to Advance Open Instrumentation

Grafana teams up with New Relic’s Telemetry Data Platform

New Relic and Grafana Labs, a popular open source dashboarding platform, announced an ongoing partnership to drive advanced open instrumentation and visibility for developers and software teams.

The companies delivered new integrations designed to empower engineering teams to solve problems even faster.


Available now, Prometheus users can use the Prometheus remote write capability to send metric data directly to New Relic’s Telemetry Data Platform with a single configuration change. Additionally, Grafana open source users can now add the Telemetry Data Platform as a Grafana data source using Grafana’s native Prometheus data source. This enables teams to enjoy New Relic’s up-to 13 months of retention for their Prometheus metrics while continuing to use their existing Grafana dashboards and alerts. With New Relic’s new PromQL-style syntax, Prometheus users no longer need to learn a new query language.

Additionally, Grafana Enterprise customers using Grafana’s New Relic data source plugin will enjoy updates designed to support New Relic’s latest NRQL capabilities. The plugin enables users to query any data stored in the Telemetry Data Platform using New Relic’s native query language to build dashboards in Grafana Enterprise. As part of the collaboration, paid New Relic customers will enjoy a free trial of Grafana Enterprise for 30 days.

New Relic and Grafana Labs have committed to driving better cross-functionality between the two companies, so joint customers can benefit from using New Relic and Grafana together.

Bill Staples, CPO, New Relic, said: “New Relic is committed to supporting open source software and I am proud to partner with the world’s number one open source visualization leader. Our customers can now visualize their Prometheus metrics stored in New Relic’s Telemetry Data Platform using Grafana’s world-class dashboards with just one simple config change. This partnership further strengthens New Relic’s commitment to advancing open instrumentation and democratizing observability for all.”

Raj Dutt, CEO and co-founder, Grafana Labs, added: “We know that organizations have complex technology and vendor ecosystems and our goal at Grafana Labs is to ensure they can get to that elusive 'single pane of glass', no matter where their data is stored. As the creators of Grafana and one of the top contributors to Prometheus, we are excited to formalize our relationship with New Relic and welcome them into the Prometheus and Grafana ecosystems. Leveraging Telemetry Data Platform for scale, long term retention, and a global view of Prometheus metrics, and then visualizing that data in Grafana dashboards is a huge win, and we know New Relic customers and Grafana users will be excited to get their hands on this new capability. I look forward to continuing to support the New Relic team to drive even better cross-functionality between our platforms for our users.”

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New Relic and Grafana Labs Partner to Advance Open Instrumentation

Grafana teams up with New Relic’s Telemetry Data Platform

New Relic and Grafana Labs, a popular open source dashboarding platform, announced an ongoing partnership to drive advanced open instrumentation and visibility for developers and software teams.

The companies delivered new integrations designed to empower engineering teams to solve problems even faster.


Available now, Prometheus users can use the Prometheus remote write capability to send metric data directly to New Relic’s Telemetry Data Platform with a single configuration change. Additionally, Grafana open source users can now add the Telemetry Data Platform as a Grafana data source using Grafana’s native Prometheus data source. This enables teams to enjoy New Relic’s up-to 13 months of retention for their Prometheus metrics while continuing to use their existing Grafana dashboards and alerts. With New Relic’s new PromQL-style syntax, Prometheus users no longer need to learn a new query language.

Additionally, Grafana Enterprise customers using Grafana’s New Relic data source plugin will enjoy updates designed to support New Relic’s latest NRQL capabilities. The plugin enables users to query any data stored in the Telemetry Data Platform using New Relic’s native query language to build dashboards in Grafana Enterprise. As part of the collaboration, paid New Relic customers will enjoy a free trial of Grafana Enterprise for 30 days.

New Relic and Grafana Labs have committed to driving better cross-functionality between the two companies, so joint customers can benefit from using New Relic and Grafana together.

Bill Staples, CPO, New Relic, said: “New Relic is committed to supporting open source software and I am proud to partner with the world’s number one open source visualization leader. Our customers can now visualize their Prometheus metrics stored in New Relic’s Telemetry Data Platform using Grafana’s world-class dashboards with just one simple config change. This partnership further strengthens New Relic’s commitment to advancing open instrumentation and democratizing observability for all.”

Raj Dutt, CEO and co-founder, Grafana Labs, added: “We know that organizations have complex technology and vendor ecosystems and our goal at Grafana Labs is to ensure they can get to that elusive 'single pane of glass', no matter where their data is stored. As the creators of Grafana and one of the top contributors to Prometheus, we are excited to formalize our relationship with New Relic and welcome them into the Prometheus and Grafana ecosystems. Leveraging Telemetry Data Platform for scale, long term retention, and a global view of Prometheus metrics, and then visualizing that data in Grafana dashboards is a huge win, and we know New Relic customers and Grafana users will be excited to get their hands on this new capability. I look forward to continuing to support the New Relic team to drive even better cross-functionality between our platforms for our users.”

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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