December 2025 Summaries

New Relic's foundation is built on six core values known as The Relic Way, which guide decision-making, collaboration, and customer interactions. These values—One Team, Challenger Mindset, Results Driven, Customer Forever, Technical Excellence, and Operational Excellence—were developed collaboratively by the CEO, leadership, and employees to reflect the company's current identity and long-term vision. They prioritize a culture of mutual support, innovation, and accountability, aiming to foster a seamless and efficient work environment that enhances both internal operations and customer relationships. The values are exemplified through initiatives such as the IT Support Team's integration of RelicAssist with Confluence, which enhances internal knowledge access, and Jordan Belcher's rollout of an AI-driven scheduling platform that optimizes hiring processes. By embracing these principles, New Relic seeks to empower its employees to deliver meaningful results and strengthen its position in the industry while offering a supportive community for personal and professional growth.

AWS re:Invent 2025 highlighted the future of cloud computing through agentic workflows and AI-driven operations, emphasizing the need for engineers to stay updated with AI advancements to remain relevant. A significant announcement was the AWS DevOps Agent, designed to enhance operational excellence by acting as an autonomous, always-on-call engineer integrated with New Relic to improve incident response times. Key innovations include the Graviton5 Arm CPU, Trainium3 UltraServers, and S3 Vectors, which offer improved performance and cost efficiency for various cloud workloads. AWS also introduced the Nova 2 Model Family with advanced AI capabilities and IAM Policy Autopilot for security best practices. New features like AWS Lambda Managed Instances and Durable Functions offer new ways to optimize serverless applications, while Amazon EKS Capabilities streamline Kubernetes development. Additionally, the event showcased intelligent observability advancements with New Relic, focusing on AI agents that can autonomously address system issues, promising a future of increased efficiency and productivity in cloud operations.

Modern distributed systems are inherently complex, generating vast amounts of metrics, traces, and logs, which pose a challenge for manual root cause analysis and extend the mean time to detect and resolve incidents. By leveraging Agentic AI, Site Reliability Engineers (SREs) and DevOps teams can automate and enhance the incident resolution process. New Relic has partnered with AWS to integrate its Model Context Protocol (MCP) server with the AWS DevOps Agent, providing automated root cause analysis and actionable recommendations through AI. The AWS DevOps Agent acts like an experienced DevOps engineer, investigating incidents, identifying operational improvements, and correlating telemetry, code, and deployment data to expedite incident resolution. This integration allows for faster issue resolution and proactive incident prevention, significantly reducing Mean Time to Resolution (MTTR) and driving operational excellence. Through a use case involving a retail chain's shopping cart service experiencing high latency, the blog demonstrates how these tools can quickly identify and remediate issues, minimizing technical disruptions and ensuring business continuity.

At the Gartner IT Infrastructure, Operations & Cloud Strategies (IOCS) Conference 2025 in Las Vegas, New Relic will present its unified, intelligent observability platform designed to aid I&O leaders in navigating the dual mandate of maintaining current system stability while driving AI-driven business transformation. New Relic emphasizes the importance of mastering the agentic future of operations, driving efficiency in the AI era, and achieving unbreakable reliability through its strategic pillars: leading with AI, strategic cost optimization, and unbreakable reliability. The platform offers tools like agentic AI monitoring, workflow automation, and cloud cost intelligence to help executives deploy AI confidently, optimize costs, and ensure system resilience. New Relic's industry leadership is validated by its recognition in Gartner’s Magic Quadrants for Observability Platforms and Digital Experience Monitoring, alongside strong customer recommendations. The company invites executives to explore these solutions further at its booth or through scheduled meetings to address specific challenges and maximize ROI.

I&O leaders face the dual challenge of maintaining system stability while driving AI-driven business transformation, a theme highlighted at the Gartner IT Infrastructure, Operations & Cloud Strategies (IOCS) Conference 2025, where New Relic will showcase its intelligent observability platform. This platform aims to assist executive decision-makers in navigating operational risks, enhancing team velocity, and maximizing ROI by addressing three core challenges: mastering the agentic future of operations, driving efficiency in the AI era, and achieving unbreakable reliability. New Relic's solutions include observability for agentic AI, AI for observability, and strategic cost optimization, all designed to maximize business value and prevent outages. The company's platform, recognized as a leader in Gartner's Magic Quadrants for Observability Platforms and Digital Experience Monitoring, seeks to empower I&O leaders by turning data into actionable insights, thus enhancing productivity and ensuring end-to-end resilience. New Relic invites attendees to explore its offerings at the Gartner IOCS 2025 conference and engage with their team to discuss specific challenges and solutions.

During peak events like Black Friday or major product launches, businesses face increased scrutiny and demand for quick, actionable insights from data. Observability plays a crucial role in providing this real-time information, but the challenge lies in mining and presenting it effectively to non-technical stakeholders. The text explores strategies for improving data communication by using "business currency" to convey technical metrics in terms that stakeholders understand, adjusting dashboards and alerts to reflect peak contexts, and refining raw data into actionable insights using techniques like the "Information Funnel." It emphasizes the importance of creating focused, impactful dashboards tailored to specific audiences and leveraging existing data creatively to derive business-level insights. By aligning technical data with business priorities and simplifying complex information into actionable wisdom, businesses can better manage peak periods and enhance everyday communication with stakeholders.

New Relic has launched a new platform capability that allows users to query entity and relationship data within the New Relic Database (NRDB) using the New Relic Query Language (NRQL), effectively consolidating entity, relationship, and telemetry data that were previously fragmented across different data stores. This integration simplifies queries by removing the need for complex joins, allowing for improved data correlation and faster insights into system behavior. Users can leverage this feature to create advanced scorecards that enforce tagging compliance, monitor AWS resource reliability, and gauge observability maturity, enhancing their ability to troubleshoot issues and manage compliance. The feature is available as part of New Relic Advanced Compute with usage-based pricing, offering full platform access and built-in cost controls.

The New Relic team undertook a significant rewrite of their Lambda Extension, transitioning the codebase from Go to Rust, which resulted in considerable performance improvements and enhanced reliability. By moving to Rust, they achieved a 40% reduction in billed duration and a 13% decrease in memory usage, thanks to the language's zero-cost abstractions and lack of a garbage collector. Rust's strict ownership system prevents common bugs, making it more reliable, while also enabling the use of asynchronous runtimes and connection pooling for better performance. The architectural overhaul included using non-blocking I/O, concurrent data structures, and a sophisticated telemetry pipeline with retry mechanisms, which contributed to reduced data loss by 95%. The transition to Rust presented challenges such as a steeper learning curve and a smaller ecosystem, but the benefits of increased efficiency and safety justified the effort, providing up to 40% faster performance, reduced costs, and zero customer Lambda failures.

New Relic has announced the general availability of its integration of AWS Lambda monitoring with traditional Application Performance Monitoring (APM), providing developers with a unified view and enhanced capabilities for tracing, debugging, and optimizing workloads across serverless and traditional applications. This update enables true APM-grade observability for serverless architectures, offering features like transaction tracing, dependency mapping, and performance insights, all within a single platform view. By combining serverless and traditional application monitoring, developers can gain complete visibility into their application journey, identify performance issues faster, and optimize resource usage with AI-driven insights, ultimately reducing costs associated with cloud services. The integration process is simplified through the addition of New Relic's serverless agent to AWS Lambda functions, allowing users to seamlessly monitor and analyze function-level performance data.

New Relic has expanded its platform with five new capabilities designed to bridge the gap between observability and actionable business context by providing unified intelligent insights into code health, security posture, and team ownership. Transaction 360 offers a comprehensive view of application performance by integrating various monitoring components, thereby reducing mean time to resolution (MTTR) significantly. Security RX prioritizes vulnerabilities, cutting down on alerts and focusing on critical threats, while Entity and Relationship History supports audit compliance by offering a historical view of infrastructure configurations. Service Architecture Intelligence Teams and Scorecards enhance efficiency by embedding service ownership information directly into the platform, facilitating incident management and automated tracking of engineering standards. These features, controllable via Feature Control Manager and Data Ingest Budgets, are part of the Advanced Compute Bundle, allowing organizations to manage observability costs and adopt capabilities flexibly.

New Relic has announced the general availability of several new features in its Intelligent Observability Platform, including Teams, Scorecards, Catalog, Maps, and Service Architecture Intelligence (SAI) integration with GitHub. These innovations aim to enhance IT team productivity by simplifying digital environments and breaking down knowledge silos. The platform enables faster task completion, automation of critical processes, and improved cross-regional collaboration, ultimately boosting development performance at scale. The integration with GitHub allows for easier setup and onboarding, while the usage-based pricing model ensures cost efficiency. New Relic Teams facilitates collaboration across enterprises by connecting ownership information for interdependent services, while Scorecards help standardize engineering best practices. Catalogs provide a central inventory of digital services, and Maps offer a visual representation of complex software systems to improve troubleshooting and collaboration.

The announcement of Security RX App and Security RX Infra introduces a new approach to managing security alerts by treating them as reliability problems, offering real-time threat insights without the need for code changes. These capabilities prioritize fixing live vulnerabilities using runtime context, reducing time spent on false positives from static analysis and avoiding the traditional "scan and wait" cycle in security management. Integrated with New Relic's observability platform, this solution provides instant security infrastructure insights and real-time validation of patches, ensuring that security is not an afterthought but part of an existing framework. The tools are available through New Relic Advanced Compute, with a usage-based pricing model and features that simplify cost management, allowing users to focus on securing their environments efficiently.

New Relic has announced the general availability of a new integration that combines AWS Lambda monitoring with traditional Application Performance Monitoring (APM) into a single view, enabling developers to trace, debug, and optimize workloads across various environments such as Lambda, APIs, and containers. This integration provides true APM-grade observability for serverless architectures by offering transaction tracing, dependency mapping, and performance insights, allowing for seamless visibility across the entire application journey. Traditionally, serverless and APM tools were separate, complicating cross-system issue tracing, but now all telemetry is unified within New Relic's platform, facilitating faster debugging and AI-driven optimization to reduce costs through smarter resource usage. The integration process is straightforward, involving instrumentation, account configuration, and exploration through New Relic's Serverless Monitoring dashboard, providing comprehensive performance data and full-stack correlations. The announcement is authored by Yoram Mireles and Ben Rivera, who emphasize the innovation's potential to enhance reliability and efficiency in serverless applications, while also noting that the views expressed are personal and not necessarily reflective of New Relic's official stance.

The introduction of "shift left" in security has led to an overwhelming number of alerts, often diminishing their value as they turn into noise rather than meaningful insights. Addressing this, New Relic has launched Security RX App and Security RX Infra, tools designed to contextualize security within runtime environments to reduce false positives and focus on actual threats in production. Security RX App prioritizes vulnerabilities based on runtime context, ensuring engineers address live issues, while Security RX Infra provides real-time infrastructure insights without the need for periodic scans, allowing immediate patch validation. These solutions integrate seamlessly with existing New Relic agents, requiring no code changes, and offer usage-based pricing with built-in cost controls, simplifying the process of adopting enhanced security measures.

The New Relic Lambda Extension underwent a major transformation by migrating its entire codebase from Go to Rust, resulting in a fundamental re-architecture of AWS Lambda function monitoring. This change led to significant improvements, including a 40% reduction in billed duration and a 13% decrease in memory usage, enhancing both cost-effectiveness and performance. The decision to switch to Rust was motivated by its "Zero-Cost Abstractions," lack of a garbage collector, and strong memory safety guarantees, which collectively improved reliability and minimized data loss. The transition involved redesigning architectural components such as the event loop, state management, and telemetry pipeline to leverage Rust's asynchronous capabilities and concurrent structures, eliminating bottlenecks and enhancing the extension's robustness. While the migration posed challenges due to Rust's steep learning curve and smaller ecosystem, the effort was justified by the substantial gains in efficiency and reliability, making Rust a compelling choice for infrastructure where performance and safety are critical.

Modern applications are becoming more complex, featuring interconnected services and components, making it difficult for traditional monitoring tools to provide the necessary unified visibility for swift issue resolution. New Relic's Transaction 360 is introduced as the first transaction-centric observability solution that streamlines troubleshooting for critical business transactions by offering a comprehensive, unified view of all relevant data, including telemetry, alerts, and changes. By combining transaction and distributed tracing, it provides an unsampled, full-stack view that reduces data overload and accelerates issue identification, eliminating the need for switching between multiple dashboards. Additionally, Transaction 360 employs AI-powered anomaly detection and automated alerts for proactive issue prevention, enhancing performance stability and reducing downtime. This solution is now available as part of New Relic Advanced Compute, offering usage-based pricing and full platform access for all users.

New Relic has launched several new features as part of its Intelligent Observability Platform, including New Relic Teams, Scorecards, Catalog, Maps, and Service Architecture Intelligence (SAI) integration with GitHub, aimed at enhancing IT team productivity and performance by simplifying digital environments and reducing knowledge silos. These innovations help teams complete tasks faster, automate processes, facilitate collaboration, and improve development performance at scale by offering tools like dynamic system maps, a central inventory of digital services, and automated best practice enforcement. The integration with GitHub streamlines the setup process, reducing the effort required to onboard users, while the platform's usage-based pricing model ensures cost control. These features are designed to consolidate essential information about services, improve context retrieval for developers, and accelerate collaboration and release velocity across large, distributed organizations.

New Relic's blog homepage covers a wide array of topics related to observability, application performance monitoring (APM), infrastructure monitoring, log management, artificial intelligence, digital experience monitoring (DEM), and security. The platform offers insights into various aspects of modern technology management through articles such as the transition of New Relic’s Lambda Extension from Go to Rust, the importance of full-stack observability during AWS outages, and strategies for monitoring Kubernetes and cloud costs effectively. Additionally, the blog provides resources on integrating and troubleshooting technologies like Azure, Kubernetes, and NGINX, and emphasizes the significance of observability in event-driven architectures. New Relic also promotes its platform’s capabilities, offering tools for free monitoring with full platform access, aiming to help users manage their technological stack efficiently without initial financial commitments.

Peak events like Black Friday or major product launches can strain business systems, making effective data communication essential for rapid decision-making. This article emphasizes the importance of translating technical metrics into "business currency" to improve collaboration and provide actionable insights. It suggests refining raw data into meaningful information through techniques like the "Information Funnel," and highlights the need for clear, focused dashboards tailored to specific stakeholders. Additionally, it encourages leveraging existing data with creativity to derive business-level insights, and underscores the significance of adapting dashboards and alerts to reflect varying contexts, especially during high-load scenarios. By integrating these practices, businesses can not only manage peak periods effectively but also enhance everyday communication and decision-making processes.

New Relic has introduced five new capabilities to enhance its platform, providing a unified intelligent observability that connects software health to business outcomes, security, and engineering team ownership. These features include Transaction 360, which reduces mean time to resolution by up to 5x by offering a comprehensive view of issues; Security RX, which prioritizes vulnerabilities to cut down on unnecessary alerts; Entity and Relationship History, which aids compliance and audit processes; Service Architecture Intelligence Teams, which embeds service ownership to streamline incident management; and Scorecards, which automate the enforcement of engineering standards. Additionally, the Feature Control Manager and Data Ingest Budgets allow users to manage observability costs effectively, ensuring that resources are allocated where they are most needed. These capabilities are part of the Advanced Compute Bundle, designed to improve the efficiency and effectiveness of distributed engineering teams.

New Relic has introduced a new platform capability that enables users to query entity and relationship data directly within the New Relic Database (NRDB) using the New Relic Query Language (NRQL), integrating it seamlessly with telemetry data for unified access. This advancement addresses the previous challenge of fragmented data across different stores, which complicated queries and insights. With entity and relationship data stored in NRDB for 24 hours, users can now efficiently correlate these with telemetry data, facilitating the creation of advanced scorecards for tasks like enforcing tagging compliance, monitoring AWS reliability, and assessing observability maturity. The feature promises faster insights and improved correlation, exemplified by use cases such as correlating CPU usage with host attributes and tracking entity state changes. This new capability is part of New Relic Advanced Compute, offering a usage-based pricing model with cost controls and full platform access, encouraging customers to leverage these innovations for enhanced data-driven insights.

New Relic has announced its commitment to the EU AI Pact, becoming the sole observability company among over 100 signatories to adhere to the EU AI Act's principles before its full implementation. The EU AI Act, effective from August 2025 with phased provisions until 2026, establishes a comprehensive legal framework for AI deployment, focusing on safety, trust, and transparency through risk-based rules. New Relic aims to implement a robust AI governance strategy, aligning with privacy by design principles and ISO/IEC 42001 certification, which underscores its dedication to ethical AI development and management. The certification signifies adherence to the first global standard for AI management systems, addressing ethical challenges, transparency, and continuous learning. Moreover, New Relic has established processes to ensure responsible AI tool use, emphasizing data privacy and risk management, and continues to evolve its AI strategy to meet customer commitments.

New Relic has joined over 100 companies in signing the EU AI Pact, making it the only observability company among the signatories. By doing so, New Relic commits to the principles of the EU AI Act before its full implementation, focusing on safe, trustworthy, and transparent AI deployment through harmonized risk-based rules. The company emphasizes AI governance, high-risk AI system mapping, and AI literacy promotion among its workforce, aligning with the AI Act's objectives. Additionally, New Relic has achieved ISO/IEC 42001 certification, the first AI management system standard, underscoring its dedication to ethical AI development and deployment. This commitment is complemented by a robust AI governance process, incorporating privacy by design and tailored policies for risk management. New Relic’s approach is backed by cross-functional expertise and is aimed at maintaining compliance and fostering innovation in AI responsibly.

Amid growing concerns about escalating cloud costs, New Relic has adopted a FinOps approach to integrate cost management with observability, drastically reducing their cloud production costs by 60%. By treating cost as an observable metric alongside performance and reliability, they have built a FinOps practice that enables real-time visibility into cost drivers and inefficiencies. This approach involves correlating technical metrics with unit costs to create a financial lens that allows teams to identify and optimize resource utilization proactively. Shifting cost management upstream, New Relic now embeds cost-efficiency into the development lifecycle, employing strategies such as cost impact forecasting and iterative efficiency analysis to ensure financial accountability. This methodology has been encapsulated in their Cloud Cost Intelligence (CCI) platform, which offers continuous cost insights and anomaly alerts, enabling organizations to optimize cloud spending while maintaining performance and reliability. As a result, New Relic has fostered a culture where cost optimization is a standard engineering practice, transforming financial oversight from reactive tracking to proactive design.

New Relic identified the challenge of managing cloud costs, which often become unpredictable and exceed budgets due to a lack of visibility and control. To address this, they leveraged their expertise in observability to create a FinOps practice, treating cost as an observable metric alongside performance and reliability. By correlating technical metrics with financial data, they achieved a 60% reduction in cloud production costs per gigabyte and sustained these savings over time. The shift involved integrating cost-efficiency into the development lifecycle, enabling real-time cost monitoring, and forecasting financial impacts before deployments. This approach led to the development of Cloud Cost Intelligence (CCI), a tool that automates the correlation of cost data with telemetry, giving teams the ability to make informed decisions about resource utilization and financial impacts. As a result, FinOps has evolved from mere financial reporting to a key component of intelligent engineering, aligning cost management with performance and reliability goals.

New Relic's eAPM, now generally available, offers a no-code solution for monitoring Kubernetes workloads and traditional hosts by leveraging eBPF technology, which simplifies the historically complex process of manual instrumentation and lifecycle management. This new tool utilizes a lightweight node-level agent to automatically discover and monitor workloads within a cluster, providing full visibility through the New Relic One platform without requiring code changes. It features intelligent span sampling for real-time debugging, AI-powered insights for comprehensive observability, and ensures minimal resource consumption, thereby optimizing application performance. Moreover, eAPM allows for a seamless transition to full APM agents when more detailed monitoring is required, ensuring continuous observability and operational continuity. The deployment is straightforward, requiring a simple Helm command or guided installation, and offers users the flexibility to scale observability solutions as business needs evolve.

New Relic's eAPM offers a streamlined solution for monitoring Kubernetes workloads and traditional hosts without the need for complex manual instrumentation or extensive code changes. Utilizing eBPF technology, eAPM deploys a lightweight agent on each Kubernetes node, automatically capturing telemetry data and providing full visibility within the New Relic One platform. This approach significantly reduces deployment complexity, maintenance overhead, and resource consumption while enhancing troubleshooting with features like intelligent span sampling and AI-driven insights. The system supports seamless transitions to full APM for deeper monitoring needs and is designed to optimize resource utilization, allowing applications to maintain optimal performance. Deploying eAPM is simplified through guided installations or Helm commands, and users can explore additional eBPF-powered capabilities for deeper visibility into application behavior.

As organizations increasingly integrate AI and agentic workforces, New Relic has announced new integrations with Amazon Web Services (AWS) at re:Invent 2025 to enhance AI capabilities and observability. These integrations aim to streamline workflows for developers, DevOps engineers, SREs, and incident responders by providing intelligent observability insights directly within AWS AI services, thereby accelerating AI workflows and optimizing operations. By integrating New Relic's AI with AWS tools like the DevOps Agent and Amazon Q index, users gain quicker incident resolution through automated insights and enterprise-level compliance guardrails. Additionally, New Relic's Security RX Cloud offers unified security insights, enabling automated remediation of vulnerabilities directly within AWS environments, while New Relic AWS Autodiscovery helps IT practitioners eliminate observability gaps by providing a comprehensive view of infrastructure changes. These initiatives are designed to support business growth by improving troubleshooting and decision-making capabilities, thereby fostering the adoption of AI at scale within production environments.

New Relic has announced new integrations with Amazon Web Services (AWS) to enhance AI capabilities and observability insights for developers, DevOps engineers, and incident responders, facilitating faster AI workflows and reducing mean time to resolution (MTTR). The collaboration, unveiled at AWS re:Invent 2025, integrates New Relic's AI capabilities with AWS AI services, enabling intelligent observability insights to be delivered directly into AWS solutions. This integration aims to eliminate manual toil, optimize operations, and provide a comprehensive understanding of incidents by accessing enterprise data through the Amazon Q index. Additionally, New Relic introduces Security RX Cloud for unified security insights and automated remediation of Infrastructure-as-Code vulnerabilities, offering a comprehensive view of cloud resources and misconfigurations. The new AWS Autodiscovery feature offers a unified solution for correlating infrastructure changes, telemetry, and configuration data, providing service dependency map views for real-time root cause analysis. New Relic's offerings, including their monitoring solutions for SAP, are available in the AWS Marketplace, with additional incentives for new users.