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New Relic Enhances Partner Program

New Relic announced the enhancement of its New Relic Partner Program to fuel business growth for its partner ecosystem. 

The program updates and investments include stronger incentives for partners to enhance profitability, new and simplified certifications and digital tools, expanded dedicated partner resources, enhanced training opportunities, and new specialized program tracks. 

In addition, New Relic’s open partnership ecosystem unlocks agentic AI use cases and brings observability to best of breed solutions across the enterprise.

The New Relic Partner Program empowers solution providers, managed service providers, technology partners, system integrators, and cloud platform providers to find new revenue streams and develop integrated solutions with the New Relic Intelligent Observability Platform. By connecting its platform with best-of-breed solutions from partners, New Relic delivers mission-critical insights and intelligent recommendations to the tools and platforms where customers already work.

“Our open partner ecosystem has been instrumental in fueling innovations and growth of the New Relic Intelligent Observability Platform,” said New Relic CEO Ashan Willy. “As we continue our growth trajectory and fine-tune our platform for today’s IT environment, we know we cannot do it without our partners. That is why we’ve renewed our investment in the people, tools, and systems, making partnering with New Relic even more rewarding. Together with our partners, we look forward to continuing to grow, innovate, and create lasting value for our joint customers.”

New Relic Partner Program enhancements give partners better predictability and profitability, including:

  • Stronger incentives — More financial incentives for partners can amplify revenue opportunities, as well as increase margins for our partners.
  • New and simplified partner certifications — Four new technical certifications and two new sales certifications help partners gain knowledge and skills aligned with today’s market.
  • Expanded partner team resources — Increased the New Relic partner team fourfold to extend more guidance, expertise, and support to partners. This includes appointing Larissa Crandall as Channel Chief, GVP of Partner and Alliances to grow the partner organization, define strategy and enhance the partner program.
  • The company has also invested in new tech platforms, including PRM and CPQ, to streamline processes and help partners sell more efficiently.
  • Expanded training opportunities — Dedicated trainings for sellers and technical teams in key areas, such as AI, observability, and cloud, so partners can be best positioned to help their customers solve critical business problems with these technologies.
  • Specialized partner program tracks — New tracks to align with partners’ unique go-to-market strategies spanning joint marketing, sales enablement, and a tailored approach to industry verticals.

New Relic empowers partners to leverage the opportunities provided by AI, and has expanded AI-focused sales enablement for solution providers. In addition, New Relic offers agentic AI integrations to bring critical observability data and intelligent recommendations directly to IT teams and developers across the business and tech ecosystem. These integrations include:

  • Amazon Q Business: Supports engineers with agentic insights, optimizes agent response and task automation through in-memory analysis of shared retrieval augmented generation (RAG) data, and improves cross-team decisions with autonomous knowledge transfer.
  • GitHub Copilot for Microsoft Azure: Automatically detects issues for DevSecOps, helps developers quickly resolve errors in code changes to boost reliability and release velocity, and empowers teams with intelligent recommendations.
  • Google Gemini: Automatically monitors deployments, receives immediate notifications, and tracks errors effectively to uphold application performance and stability. It also uses recommendations based on data analysis to improve code performance and support decision-making.
  • ServiceNow: Brings observability insights into more work streams (like customer support), resolves tickets faster with intelligent alerts and prioritization, and automates business-impact analysis of changes in systems and services.
  • The company also announced the industry’s only observability integration with DeepSeek to accelerate AI ROI and adoption.

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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New Relic Enhances Partner Program

New Relic announced the enhancement of its New Relic Partner Program to fuel business growth for its partner ecosystem. 

The program updates and investments include stronger incentives for partners to enhance profitability, new and simplified certifications and digital tools, expanded dedicated partner resources, enhanced training opportunities, and new specialized program tracks. 

In addition, New Relic’s open partnership ecosystem unlocks agentic AI use cases and brings observability to best of breed solutions across the enterprise.

The New Relic Partner Program empowers solution providers, managed service providers, technology partners, system integrators, and cloud platform providers to find new revenue streams and develop integrated solutions with the New Relic Intelligent Observability Platform. By connecting its platform with best-of-breed solutions from partners, New Relic delivers mission-critical insights and intelligent recommendations to the tools and platforms where customers already work.

“Our open partner ecosystem has been instrumental in fueling innovations and growth of the New Relic Intelligent Observability Platform,” said New Relic CEO Ashan Willy. “As we continue our growth trajectory and fine-tune our platform for today’s IT environment, we know we cannot do it without our partners. That is why we’ve renewed our investment in the people, tools, and systems, making partnering with New Relic even more rewarding. Together with our partners, we look forward to continuing to grow, innovate, and create lasting value for our joint customers.”

New Relic Partner Program enhancements give partners better predictability and profitability, including:

  • Stronger incentives — More financial incentives for partners can amplify revenue opportunities, as well as increase margins for our partners.
  • New and simplified partner certifications — Four new technical certifications and two new sales certifications help partners gain knowledge and skills aligned with today’s market.
  • Expanded partner team resources — Increased the New Relic partner team fourfold to extend more guidance, expertise, and support to partners. This includes appointing Larissa Crandall as Channel Chief, GVP of Partner and Alliances to grow the partner organization, define strategy and enhance the partner program.
  • The company has also invested in new tech platforms, including PRM and CPQ, to streamline processes and help partners sell more efficiently.
  • Expanded training opportunities — Dedicated trainings for sellers and technical teams in key areas, such as AI, observability, and cloud, so partners can be best positioned to help their customers solve critical business problems with these technologies.
  • Specialized partner program tracks — New tracks to align with partners’ unique go-to-market strategies spanning joint marketing, sales enablement, and a tailored approach to industry verticals.

New Relic empowers partners to leverage the opportunities provided by AI, and has expanded AI-focused sales enablement for solution providers. In addition, New Relic offers agentic AI integrations to bring critical observability data and intelligent recommendations directly to IT teams and developers across the business and tech ecosystem. These integrations include:

  • Amazon Q Business: Supports engineers with agentic insights, optimizes agent response and task automation through in-memory analysis of shared retrieval augmented generation (RAG) data, and improves cross-team decisions with autonomous knowledge transfer.
  • GitHub Copilot for Microsoft Azure: Automatically detects issues for DevSecOps, helps developers quickly resolve errors in code changes to boost reliability and release velocity, and empowers teams with intelligent recommendations.
  • Google Gemini: Automatically monitors deployments, receives immediate notifications, and tracks errors effectively to uphold application performance and stability. It also uses recommendations based on data analysis to improve code performance and support decision-making.
  • ServiceNow: Brings observability insights into more work streams (like customer support), resolves tickets faster with intelligent alerts and prioritization, and automates business-impact analysis of changes in systems and services.
  • The company also announced the industry’s only observability integration with DeepSeek to accelerate AI ROI and adoption.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...