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New Relic Enhances Kubernetes Observability

New Relic announced a series of product innovations and enhancements to help millions of engineers take a daily, data-driven approach to Kubernetes observability.

New Relic re-architected its Kubernetes integration to reduce the overhead associated with monitoring Kubernetes environments with an improved memory footprint, flexible scraping intervals, and more.

In addition, New Relic announced plugin support for Pixie, an open source observability tool for Kubernetes, to give New Relic users unlimited access to the latest Pixie innovation directly inside the New Relic platform. These innovations are included as an essential part of the all-in-one New Relic observability platform that allows engineers to get 3X+ more value than the competition.

According to industry data from the Cloud Native Computing Foundation (CNCF) and New Relic, container and Kubernetes adoption is mainstream, with 93% of organizations around the world using or planning to use containers in production, and 96% of organizations using or evaluating Kubernetes. As organizations accelerate their adoption of Kubernetes, the right monitoring architecture needs to be in place to minimize the consumption of access resources. Monitoring tools, with non-optimized agents and DaemonSet architectures, consume excessive cluster resources, adding unnecessary overhead and expense. Separately, as companies grow their Kubernetes footprints in many clusters, many choose to use solutions such as Rancher to manage their growing landscape. Without the ability to monitor external control planes, these organizations miss important performance signals. New Relic’s latest innovations — the Kubernetes integration and Pixie plugin — fill this gap by giving every engineer access to Kubernetes observability right from the New Relic UI.

“Kubernetes provides incredibly powerful tooling for running workloads. Its configurability, extensibility, and expressiveness give us more power than ever to structure, optimize, and scale our applications.,” said Zain Asgar, New Relic GVP & Product GM, Pixie Co-founder, and CNCF Governing Board member. “New Relic and Pixie have a joint mission to be developer-first, which means first class support for Kubernetes ...”

Kubernetes integration updates:

- Reduced memory footprint: Avoid data duplication while scraping kube-state-metrics (KSM) and control plane components to reduce memory consumption by 80% in big clusters.

- Support for control planes: Ensure clusters are maintained in accordance with your security, compliance or governance policies by supporting external control planes like Rancher Kubernetes Engine.

- Flexible scraping intervals: Dial up or dial down data ingest to find the right balance between data granularity and managing data ingest costs.

- Improved troubleshooting: Triage bugs and fix issues quicker with enhanced logs and process cycles.

- Easier configuration: Three individually-configurable components are now available, including support for config files that provide more granular settings.

Pixie plugin framework:

By supporting the Pixie plugin framework, New Relic is unlocking access to Pixie’s capabilities directly inside of the New Relic UI. With this new release, the New Relic Pixie integration is optimized to bring a subset of Pixie data off-cluster into New Relic for long term storage and retention, and as new capabilities are deployed they will be available to engineers using New Relic. With New Relic's Pixie plugin, the company is also giving users access to longer data retention and enterprise-grade alerting directly inside Pixie, so users can be alerted immediately when system performance suffers, and they'll be able to go beyond real-time debugging to analyze performance over longer time horizons.

With these releases, New Relic is activating its commitment to make observability a daily, data-driven habit for every engineer by continuing to invest heavily in the global open source and cloud-native communities. Since 2020, New Relic open sourced more than ten years of agents R&D, acquired Pixie Labs and contributed Pixie as an open source project to CNCF, and launched New Relic Instant Observability. These new enhancements are the continuation of this strategy to dramatically reduce the barrier for engineers to adopt Kubernetes observability.

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New Relic Enhances Kubernetes Observability

New Relic announced a series of product innovations and enhancements to help millions of engineers take a daily, data-driven approach to Kubernetes observability.

New Relic re-architected its Kubernetes integration to reduce the overhead associated with monitoring Kubernetes environments with an improved memory footprint, flexible scraping intervals, and more.

In addition, New Relic announced plugin support for Pixie, an open source observability tool for Kubernetes, to give New Relic users unlimited access to the latest Pixie innovation directly inside the New Relic platform. These innovations are included as an essential part of the all-in-one New Relic observability platform that allows engineers to get 3X+ more value than the competition.

According to industry data from the Cloud Native Computing Foundation (CNCF) and New Relic, container and Kubernetes adoption is mainstream, with 93% of organizations around the world using or planning to use containers in production, and 96% of organizations using or evaluating Kubernetes. As organizations accelerate their adoption of Kubernetes, the right monitoring architecture needs to be in place to minimize the consumption of access resources. Monitoring tools, with non-optimized agents and DaemonSet architectures, consume excessive cluster resources, adding unnecessary overhead and expense. Separately, as companies grow their Kubernetes footprints in many clusters, many choose to use solutions such as Rancher to manage their growing landscape. Without the ability to monitor external control planes, these organizations miss important performance signals. New Relic’s latest innovations — the Kubernetes integration and Pixie plugin — fill this gap by giving every engineer access to Kubernetes observability right from the New Relic UI.

“Kubernetes provides incredibly powerful tooling for running workloads. Its configurability, extensibility, and expressiveness give us more power than ever to structure, optimize, and scale our applications.,” said Zain Asgar, New Relic GVP & Product GM, Pixie Co-founder, and CNCF Governing Board member. “New Relic and Pixie have a joint mission to be developer-first, which means first class support for Kubernetes ...”

Kubernetes integration updates:

- Reduced memory footprint: Avoid data duplication while scraping kube-state-metrics (KSM) and control plane components to reduce memory consumption by 80% in big clusters.

- Support for control planes: Ensure clusters are maintained in accordance with your security, compliance or governance policies by supporting external control planes like Rancher Kubernetes Engine.

- Flexible scraping intervals: Dial up or dial down data ingest to find the right balance between data granularity and managing data ingest costs.

- Improved troubleshooting: Triage bugs and fix issues quicker with enhanced logs and process cycles.

- Easier configuration: Three individually-configurable components are now available, including support for config files that provide more granular settings.

Pixie plugin framework:

By supporting the Pixie plugin framework, New Relic is unlocking access to Pixie’s capabilities directly inside of the New Relic UI. With this new release, the New Relic Pixie integration is optimized to bring a subset of Pixie data off-cluster into New Relic for long term storage and retention, and as new capabilities are deployed they will be available to engineers using New Relic. With New Relic's Pixie plugin, the company is also giving users access to longer data retention and enterprise-grade alerting directly inside Pixie, so users can be alerted immediately when system performance suffers, and they'll be able to go beyond real-time debugging to analyze performance over longer time horizons.

With these releases, New Relic is activating its commitment to make observability a daily, data-driven habit for every engineer by continuing to invest heavily in the global open source and cloud-native communities. Since 2020, New Relic open sourced more than ten years of agents R&D, acquired Pixie Labs and contributed Pixie as an open source project to CNCF, and launched New Relic Instant Observability. These new enhancements are the continuation of this strategy to dramatically reduce the barrier for engineers to adopt Kubernetes observability.

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 ...