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New Relic Unveils New Product Innovations

New Relic announced a series of new product innovations and community initiatives to help engineers make observability a data-driven approach to how they plan, build, deploy and run software.

New Relic launched its new Kubernetes experience, powered by Auto-Telemetry with Pixie, which integrates with New Relic One to deliver instant Kubernetes observability without requiring users to update code or sample data. Additional highlights include enhancements to New Relic’s error tracking, network monitoring and programmability capabilities, as well as two new community offerings to bring the power of New Relic Full-Stack Observability to more engineers: New Relic for Startups and New Relic Student Edition.

“Now more than ever, the world relies on digital services and their underlying software to connect with family, friends and colleagues remotely, buy groceries for delivery, meet with doctors virtually and access entertainment at home. Our mission is to make observability a daily practice for millions of engineers by putting the power of telemetry data in their hands at every stage of the software lifecycle, so they can deliver great digital experiences to their customers,” said Bill Staples, CEO-elect at New Relic. “Our vision is brought to life in the innovations announced today, and in our FutureStack themes of Open-Build-Run. Our focus remains on engineers and their success, delivering transformative innovation that empowers them to level up their observability skills and create the next generation of software that powers the world.”

Integrating Pixie into New Relic’s Kubernetes solution can remove some of the largest barriers to Kubernetes observability, namely the time and expertise required to manually instrument application code. Auto-Telemetry with Pixie gives engineers visibility into their Kubernetes clusters and workloads instantly without installing language agents. Available throughout the New Relic One platform, Pixie data enables engineers to debug faster than ever before. It also empowers engineers to observe everything on-cluster without sampling, then uses AI/ML models to send the most relevant subset of that data to New Relic’s Telemetry Data Platform for correlation with other services, intelligent alerting, and long term storage.

This follows New Relic’s recent announcement that it is in the process of contributing Pixie Open Source as a project to the Cloud Native Computing Foundation (CNCF) under an Apache 2.0 license, as part of New Relic’s commitment to making observability open for everyone. New Relic also recently announced the expansion of its existing relationship with Amazon Web Services (AWS) to provide its Pixie observability solution on AWS.

Additional New Relic innovations announced include:

- Error Tracking: New Relic Errors Inbox is a single place to view, triage and resolve errors across the full application stack, allowing developers to proactively fix errors before the customer experience is impacted. Unlike error tracking point solutions that only account for a portion of your data, New Relic Errors Inbox has rich, correlated data across the application stack – including APM, RUM, mobile and serverless data. Additionally, New Relic Errors Inbox provides detail down to the stack trace without having to leave the New Relic One platform, making grouping and debugging workflows faster for developers.

- Network Observability: New Relic partnered with network observability leader Kentik to extend its industry-leading observability into the network layer. Extending New Relic One to include network observability from Kentik allows DevOps teams to view network performance data so they can work with network teams to identify and resolve issues quickly, including being able to identify whether the root cause of an issue is related to the network.

- Custom Dashboard Visualizations: With the Custom Visualizations launcher, DevOps teams can use open source or proprietary libraries to create custom charts and other visualizations that provide more visibility into applications running in production, as well as third-party data sources. New Relic is partnering with engineering and design consultancy Formidable to integrate their open source charting library as out-of-the-box visualization templates for developers. New Relic is also launching its Programmability Certification Program, offering the opportunity for developers to validate their expertise in extending New Relic One while highlighting their in-demand observability skillset.

Demonstrating its commitment to the next generation of engineers, New Relic is announcing New Relic for Startups, a new offering that provides exclusive discounts and credits for startups so that they can build the right data-driven engineering practices from the start, without worrying about their tooling costs. New Relic for Startups allows startup founders and engineers to spend less time debugging and troubleshooting, and more time building the next generation of software.

Additionally, New Relic is announcing the launch of New Relic Student Edition, a generous packaged offering available for free to students and teachers. New Relic Student Edition provides access to industry-leading observability tools, empowering teachers to deliver practical, hands-on experience through real-world scenarios. The new package offers up to 500 GB of telemetry data per month and three Full-Stack Observability users. Students can receive automated training and certifications through Gainsight.

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New Relic Unveils New Product Innovations

New Relic announced a series of new product innovations and community initiatives to help engineers make observability a data-driven approach to how they plan, build, deploy and run software.

New Relic launched its new Kubernetes experience, powered by Auto-Telemetry with Pixie, which integrates with New Relic One to deliver instant Kubernetes observability without requiring users to update code or sample data. Additional highlights include enhancements to New Relic’s error tracking, network monitoring and programmability capabilities, as well as two new community offerings to bring the power of New Relic Full-Stack Observability to more engineers: New Relic for Startups and New Relic Student Edition.

“Now more than ever, the world relies on digital services and their underlying software to connect with family, friends and colleagues remotely, buy groceries for delivery, meet with doctors virtually and access entertainment at home. Our mission is to make observability a daily practice for millions of engineers by putting the power of telemetry data in their hands at every stage of the software lifecycle, so they can deliver great digital experiences to their customers,” said Bill Staples, CEO-elect at New Relic. “Our vision is brought to life in the innovations announced today, and in our FutureStack themes of Open-Build-Run. Our focus remains on engineers and their success, delivering transformative innovation that empowers them to level up their observability skills and create the next generation of software that powers the world.”

Integrating Pixie into New Relic’s Kubernetes solution can remove some of the largest barriers to Kubernetes observability, namely the time and expertise required to manually instrument application code. Auto-Telemetry with Pixie gives engineers visibility into their Kubernetes clusters and workloads instantly without installing language agents. Available throughout the New Relic One platform, Pixie data enables engineers to debug faster than ever before. It also empowers engineers to observe everything on-cluster without sampling, then uses AI/ML models to send the most relevant subset of that data to New Relic’s Telemetry Data Platform for correlation with other services, intelligent alerting, and long term storage.

This follows New Relic’s recent announcement that it is in the process of contributing Pixie Open Source as a project to the Cloud Native Computing Foundation (CNCF) under an Apache 2.0 license, as part of New Relic’s commitment to making observability open for everyone. New Relic also recently announced the expansion of its existing relationship with Amazon Web Services (AWS) to provide its Pixie observability solution on AWS.

Additional New Relic innovations announced include:

- Error Tracking: New Relic Errors Inbox is a single place to view, triage and resolve errors across the full application stack, allowing developers to proactively fix errors before the customer experience is impacted. Unlike error tracking point solutions that only account for a portion of your data, New Relic Errors Inbox has rich, correlated data across the application stack – including APM, RUM, mobile and serverless data. Additionally, New Relic Errors Inbox provides detail down to the stack trace without having to leave the New Relic One platform, making grouping and debugging workflows faster for developers.

- Network Observability: New Relic partnered with network observability leader Kentik to extend its industry-leading observability into the network layer. Extending New Relic One to include network observability from Kentik allows DevOps teams to view network performance data so they can work with network teams to identify and resolve issues quickly, including being able to identify whether the root cause of an issue is related to the network.

- Custom Dashboard Visualizations: With the Custom Visualizations launcher, DevOps teams can use open source or proprietary libraries to create custom charts and other visualizations that provide more visibility into applications running in production, as well as third-party data sources. New Relic is partnering with engineering and design consultancy Formidable to integrate their open source charting library as out-of-the-box visualization templates for developers. New Relic is also launching its Programmability Certification Program, offering the opportunity for developers to validate their expertise in extending New Relic One while highlighting their in-demand observability skillset.

Demonstrating its commitment to the next generation of engineers, New Relic is announcing New Relic for Startups, a new offering that provides exclusive discounts and credits for startups so that they can build the right data-driven engineering practices from the start, without worrying about their tooling costs. New Relic for Startups allows startup founders and engineers to spend less time debugging and troubleshooting, and more time building the next generation of software.

Additionally, New Relic is announcing the launch of New Relic Student Edition, a generous packaged offering available for free to students and teachers. New Relic Student Edition provides access to industry-leading observability tools, empowering teachers to deliver practical, hands-on experience through real-world scenarios. The new package offers up to 500 GB of telemetry data per month and three Full-Stack Observability users. Students can receive automated training and certifications through Gainsight.

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 ...