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New Relic Developer Program Launched

New Relic announced the New Relic developer program, a new initiative that enables the company’s customer and partner ecosystem to accelerate their innovation.

The program is designed to offer resources and tools for customers to do more with their application and infrastructure data, improve their ability to get data in and out of New Relic, and automate New Relic into their workflows.

"As our customers shift to autonomous teams and DevOps, the way they do monitoring needs to change as well. In many cases, they want their New Relic ‘user experience’ to be a command line interface, SDK or API in addition to customization of our curated dashboards and products so they can customize the way they use New Relic alongside other platforms and tools. Our developer program aims to address our community’s needs by providing code, documentation, examples, and tutorials so that engineers can more easily automate the creation of dashboards and alerts, extend New Relic with custom metrics, events and tracing data, and build on New Relic as an open, programmable platform. Ultimately this program will help make their monitoring richer and reduce their toil," said Aaron Johnson, SVP, Product Management, New Relic.

Companies have been incorporating New Relic into their DevOps workflows through a rich set of APIs and SDKs. The New Relic developer program extends the company’s platform to make it even easier to incorporate New Relic as part of customers’ deployment, automation, incident response, and application development work streams. For users becoming familiar with New Relic, the developer program provides a set of use cases to jumpstart their usage of New Relic APIs and SDKs, which will help them get more value out of the platform quicker and do more with their data to drive the performance of their business. To increase the program’s effectiveness and transparency, New Relic will also further the company’s involvement in open source projects and standards.

The New Relic developer program launches with the following forums, tools, and initiatives:

- A definitive guide for discovering New Relic’s APIs, SDKs, repos, and additional resources to support developers so they can easily adapt New Relic to the unique challenges of their software architecture and business needs. With the capabilities launching today — and future tools and programs — the New Relic developer program will provide customers with a consistent and open way to learn and share how to customize and extend New Relic into any workflow.

- New ways to access cloud integration and New Relic Query Language (NRQL) data — leveraging the New Relic GraphQL API — which gives customers a single request method to manage and retrieve data in and out of New Relic. Customers need to be able to easily define what and how granular cloud integration data from Amazon Web Services, Microsoft Azure or Google Cloud Platform services should be fetched in an automated way. Through enhanced NRQL queries customers can more easily explore and gain insights from their custom query data.

- Expanded coverage for customers’ polyglot application environments, with the release of a New Relic APM language agent for Elixir under an open source license. A new, emerging language, Elixir is becoming popular for building scalable, efficient applications. Releasing the Elixir agent as an open source project is intended to empower New Relic’s developer community to ensure the agent is maintained to the latest platform release, tools, and frameworks in addition to customizing the metrics it collects to their unique needs.

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New Relic Developer Program Launched

New Relic announced the New Relic developer program, a new initiative that enables the company’s customer and partner ecosystem to accelerate their innovation.

The program is designed to offer resources and tools for customers to do more with their application and infrastructure data, improve their ability to get data in and out of New Relic, and automate New Relic into their workflows.

"As our customers shift to autonomous teams and DevOps, the way they do monitoring needs to change as well. In many cases, they want their New Relic ‘user experience’ to be a command line interface, SDK or API in addition to customization of our curated dashboards and products so they can customize the way they use New Relic alongside other platforms and tools. Our developer program aims to address our community’s needs by providing code, documentation, examples, and tutorials so that engineers can more easily automate the creation of dashboards and alerts, extend New Relic with custom metrics, events and tracing data, and build on New Relic as an open, programmable platform. Ultimately this program will help make their monitoring richer and reduce their toil," said Aaron Johnson, SVP, Product Management, New Relic.

Companies have been incorporating New Relic into their DevOps workflows through a rich set of APIs and SDKs. The New Relic developer program extends the company’s platform to make it even easier to incorporate New Relic as part of customers’ deployment, automation, incident response, and application development work streams. For users becoming familiar with New Relic, the developer program provides a set of use cases to jumpstart their usage of New Relic APIs and SDKs, which will help them get more value out of the platform quicker and do more with their data to drive the performance of their business. To increase the program’s effectiveness and transparency, New Relic will also further the company’s involvement in open source projects and standards.

The New Relic developer program launches with the following forums, tools, and initiatives:

- A definitive guide for discovering New Relic’s APIs, SDKs, repos, and additional resources to support developers so they can easily adapt New Relic to the unique challenges of their software architecture and business needs. With the capabilities launching today — and future tools and programs — the New Relic developer program will provide customers with a consistent and open way to learn and share how to customize and extend New Relic into any workflow.

- New ways to access cloud integration and New Relic Query Language (NRQL) data — leveraging the New Relic GraphQL API — which gives customers a single request method to manage and retrieve data in and out of New Relic. Customers need to be able to easily define what and how granular cloud integration data from Amazon Web Services, Microsoft Azure or Google Cloud Platform services should be fetched in an automated way. Through enhanced NRQL queries customers can more easily explore and gain insights from their custom query data.

- Expanded coverage for customers’ polyglot application environments, with the release of a New Relic APM language agent for Elixir under an open source license. A new, emerging language, Elixir is becoming popular for building scalable, efficient applications. Releasing the Elixir agent as an open source project is intended to empower New Relic’s developer community to ensure the agent is maintained to the latest platform release, tools, and frameworks in addition to customizing the metrics it collects to their unique needs.

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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 ...