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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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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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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 ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...