February 2025 Summaries

New Relic's Intelligent Observability Platform has introduced several new features to enhance digital experiences, announced at the New Relic NOW+ conference. Among these innovations are the industry's first full-stack Streaming Video and Ads Intelligence, Engagement Intelligence, and Public Dashboards. Streaming Video and Ads Intelligence aims to unify various analytics into a single platform, reducing context loss and improving troubleshooting for streaming providers. Engagement Intelligence offers automatic data collection and deeper user insights, enabling faster resolution of user experience issues, while Public Dashboards allow organizations to share insights effortlessly with stakeholders without requiring additional licenses. These new tools are designed to provide comprehensive visibility and actionable insights, thereby improving user engagement and satisfaction.

New Relic has introduced over 20 new capabilities to its Intelligent Observability Platform, enhancing business uptime, productivity, and security for enterprises. The platform now features agentic AI integrations with ServiceNow and Gemini, enabling streamlined processes and intelligent decision-making. Additionally, AI-powered Predictions use machine learning to forecast metrics and provide early warnings. Response Intelligence offers real-time issue diagnosis and remediation suggestions. Transaction 360 enables faster root cause analysis for transaction issues, and Database Performance Monitoring provides detailed query-level insights. Queues and Streams offer bi-directional visibility for message queues, while Service Architecture Intelligence improves developer productivity with tools like Scorecards and Catalogs. Cloud Cost Intelligence provides comprehensive cloud cost visibility, and Security RX prioritizes vulnerability remediation. Engagement Intelligence enhances user experience insights, and Streaming Video & Ads Intelligence unifies performance analytics. Public Dashboards ease the sharing of insights, while eAPM simplifies Kubernetes monitoring. Lastly, Agent Control and Fleet Control streamline agent management, and Pipeline Control optimizes data management across the tech stack.

The New Relic Intelligent Observability Platform, unveiled at the New Relic NOW+ conference, offers a suite of AI-driven innovations aimed at maximizing business uptime and operational efficiency. These innovations include Agentic AI Integrations, which automate tasks and enhance observability across third-party platforms; Predictions, which use machine learning to forecast potential issues and enable proactive management; Response Intelligence, providing causal analysis and remediation recommendations; and Transaction 360, which correlates telemetry for faster issue detection and resolution. The platform also includes advanced Database Performance Monitoring and Queues and Streams features to offer end-to-end visibility and root cause analysis for distributed systems and database operations. These tools are designed to reduce downtime, enhance decision-making, and optimize performance, all within a unified, user-friendly interface.

The New Relic Intelligent Observability Platform has introduced new capabilities aimed at enhancing developer productivity, optimizing cloud costs, and securing digital businesses, as announced at their New Relic NOW+ conference. These innovations include Cloud Cost Intelligence for managing multi-cloud spending, Pipeline Control for efficient data ingestion, and Security Rx for vulnerability prioritization. The platform also offers Service Architecture Intelligence, which provides tools like scorecards, catalogs, teams, and maps to streamline developer workflows and improve performance tracking. eAPM simplifies Kubernetes workload monitoring without code changes, while Fleet and Agent Control centralize and automate agent lifecycle management to enhance productivity and security. These features are designed to provide comprehensive visibility and control over digital landscapes, enabling better decision-making and operational efficiency across large development organizations.

The New Relic Intelligent Observability Platform introduces a range of innovations designed to enhance developer productivity, optimize cloud costs, and secure digital businesses. Announced at the New Relic NOW+ conference, these innovations include Service Architecture Intelligence, which consolidates knowledge into catalogs and scorecards to improve productivity and performance monitoring, and Security Rx, which prioritizes and remediates vulnerabilities across infrastructure. Cloud Cost Intelligence offers real-time insights into cloud spending to optimize costs, while Pipeline Control manages telemetry data to maximize its value. Additionally, new tools like eAPM simplify Kubernetes performance monitoring, and Fleet and Agent Control streamline instrumentation management across large-scale environments. These features aim to provide comprehensive observability, facilitate collaboration, and enhance decision-making for engineering and business teams.

New Relic has introduced over 20 new features to its Intelligent Observability Platform, highlighting innovations from the New Relic Now+ 2025 keynote. The platform now includes enhanced AI integrations with tools like ServiceNow and Gemini, allowing for automation of complex tasks and seamless context switching. AI-powered Predictions and Response Intelligence provide proactive issue detection and causal analysis, while Transaction 360 offers an intelligent monitoring solution to streamline transaction troubleshooting. Database Performance Monitoring has been improved with query-level insights, and the Queues and Streams feature offers end-to-end visibility for message queues. Additionally, Service Architecture Intelligence helps consolidate digital landscapes into catalogs and scorecards, enhancing developer productivity. The platform also features Cloud Cost Intelligence for optimized cloud spending, Security RX for vulnerability management, and Engagement Intelligence for user behavior insights. Streaming Video & Ads Intelligence aims to improve viewer experiences by unifying QoE metrics, and Public Dashboards enable easy sharing of observability insights. Finally, features like eAPM, Agent Control, Fleet Control, and Pipeline Control streamline performance monitoring and data management, providing comprehensive observability solutions for complex tech stacks.

New Relic's Intelligent Observability Platform, introduced at the New Relic NOW+ conference, showcases numerous advancements designed to enhance business uptime through AI-driven solutions. Key innovations include Agentic AI Integrations, which automate and streamline business processes by connecting New Relic with popular third-party platforms like ServiceNow and Gemini Code Assist, and Predictions, which utilize machine learning to analyze historical data for early problem detection. The platform also features Response Intelligence for AI-powered remediation suggestions, Transaction 360 for comprehensive transaction monitoring, and Database Performance Monitoring that offers detailed insights into database and application performance. Additionally, Queues and Streams provide end-to-end visibility for message queues in distributed systems, enhancing root cause identification and proactive issue detection. These innovations aim to optimize IT operations by reducing downtime, improving transaction reliability, and providing a unified view of system performance, all within an open and integrated ecosystem.

The New Relic Intelligent Observability Platform introduces innovative capabilities to enhance digital experiences, announced at the New Relic NOW+ conference. These include Streaming Video & Ads Intelligence, which offers a comprehensive solution for media providers to troubleshoot and improve video quality by unifying various performance metrics, and Engagement Intelligence, which provides end-to-end visibility into user engagement and automates data collection to enhance user experience and reduce customer churn. The platform also features Public Dashboards, allowing organizations to share critical insights seamlessly with stakeholders without requiring them to have a New Relic account, thus promoting smarter decision-making and enhanced visibility. These innovations aim to streamline issue resolution and optimize digital experiences by leveraging a unified platform for superior service mapping and contextual insights.

Digital Experience Management (DEM) technology is increasingly used by executives, CIOs, SREs, and operations teams to enhance digital services by providing critical insights into user experiences, which helps reduce customer churn and maximize conversions. As businesses transform digitally, understanding the customer journey and engagement has become essential for success amidst fierce competition. DEM focuses on the "last mile" of digital services where customers interact, providing end-to-end service visibility and critical data on engagement issues in browsers, mobile devices, or applications. By complementing existing observability metrics and fostering collaboration across technology, e-commerce, and marketing teams, DEM aids in problem identification and resolution, cost optimization, and the establishment of a proactive customer-centric culture. This approach empowers leaders with a unified perspective on service performance, enabling them to deliver optimized, reliable services and outstanding customer experiences. As digital transactions continue to rise, investing in DEM capabilities is crucial for sustaining competitive advantages, with real-time monitoring and actionable insights driving business growth and transformation.

Digital Experience Management (DEM) technology is crucial for businesses aiming to provide high-performing digital services and exceptional customer experiences. As digital transactions continue to rise, particularly with the increasing use of mobile applications, DEM helps executives and cross-functional teams gain insights into customer interactions, reduce churn, and optimize conversions. By focusing on the user experience and collecting relevant data, DEM complements existing observability tools, enhancing service reliability and efficiency through a unified data perspective. It enables leaders to have a comprehensive understanding of the customer journey, supporting proactive problem-solving and collaboration across technology, ecommerce, and marketing teams. This fosters a customer-centric culture and enables rapid decision-making, ultimately leading to sustainable competitive advantages.

New Relic has enhanced its server-side configuration to allow Java developers to enable application performance monitoring (APM) logging directly through the user interface, without needing to alter code or submit pull requests. This one-click APM logging feature supports Java services version 7.6.0 or higher and offers real-time debugging capabilities by providing access to logs with full transaction context, facilitating faster root cause analysis during critical incidents. The update simplifies the process of activating logging, reducing mean time to resolution (MTTR) by allowing immediate visibility into issues without deploying new code. This improvement is part of New Relic's ongoing commitment to enhancing its Intelligent Observability Platform, with plans to expand these capabilities to additional languages and services.

New Relic has introduced a new feature for Java developers that enhances their server-side configuration (SSC) by allowing one-click activation of application performance monitoring (APM) logging directly through the user interface. This feature enables developers to control logging without making code changes or waiting for pull request approvals, thereby expediting the debugging process during critical incidents. Tailored for Java services version 7.6.0 or higher, this functionality offers flexible controls, real-time debugging capabilities, and context-aware logs that integrate application logs with distributed traces and transaction data. The implementation of this logging solution is straightforward, requiring specific prerequisites like account-level logging and local configuration through the newrelic.js file. This enhancement promises to reduce mean time to resolution (MTTR) and improve the efficiency of debugging processes, with New Relic committed to expanding these capabilities to additional languages and services in the future.

Windows Task Scheduler is a built-in tool on Windows systems that automates tasks at specified times, making it useful for routine maintenance and other automated processes. Monitoring Task Scheduler is important for proactively detecting issues, improving system reliability, enhancing security, and optimizing resource utilization. The blog post discusses using New Relic, a cloud-based observability platform, to monitor Task Scheduler by leveraging New Relic Flex to collect custom metrics. Key monitoring aspects include task status, error logs, and resource utilization, enabling the identification and resolution of issues to ensure task efficiency. The post provides a step-by-step guide for integrating New Relic Flex with Task Scheduler, including setting up the necessary infrastructure and configuring alerts for task failures or missed executions. Best practices for maintaining task efficiency and using New Relic's capabilities are also shared to enhance the performance and reliability of automated tasks.

Windows Task Scheduler is a versatile built-in tool for automating tasks on Windows systems, enabling the scheduling of routine maintenance, data backups, and software updates. Monitoring Task Scheduler is important for proactive issue detection, improved system reliability, enhanced security, and optimized resource utilization. New Relic, a cloud-based observability platform, can be integrated with Windows Task Scheduler using New Relic Flex to monitor the health and performance of automated tasks. Key aspects to monitor include task status, error logs, and resource utilization. The integration process involves setting up New Relic Flex with a New Relic account, installing necessary infrastructure agents, and using PowerShell scripts to capture task details. Visualizing Task Scheduler data involves configuring custom dashboards and setting up alerts for task failures and missed executions. By following best practices and utilizing New Relic's capabilities, users can enhance the reliability and performance of their automated tasks, gaining valuable insights to proactively address potential issues.

On February 25, New Relic will host New Relic Now+, an event where new product innovations aimed at enhancing observability capabilities will be unveiled. The event will include company announcements, product showcases, and expert guidance on implementing new features to tackle common business challenges and improve digital experiences. To benefit from these innovations, users are encouraged to update their browser, mobile, and infrastructure agents, manage user permissions, enable distributed tracing, review cloud integrations, and ensure proper tagging of entities. Zack Mutchler, the author of the blog post, is a Senior Manager in Technical Marketing at New Relic with extensive experience in observability and automation. The blog emphasizes that the solutions discussed are specific to certain environments and encourages readers to seek support through New Relic's community for any questions or concerns.

New Relic is set to host New Relic Now+ on February 25, unveiling new product innovations aimed at enhancing observability capabilities. The event will include company announcements, product showcases, and expert guidance on implementing these new features to address common business challenges and improve digital experiences. To prepare, users are advised to update various agents, verify user permissions, enable distributed tracing, review cloud integrations, and ensure proper tagging of entities. Support is available for these preparations, and participants are encouraged to register for the event to stay informed on the latest developments in observability. The blog post is authored by Zack Mutchler, a Senior Manager at New Relic, who has extensive experience in observability and automation, and it includes a note that the views expressed do not necessarily reflect those of New Relic.

Web developers often overlook the complexity involved in loading assets like images, scripts, and stylesheets, which significantly affects user experience. A real-world example highlights an ecommerce platform where inconsistent loading of product images led to customer complaints, revealing the importance of visibility into resource performance. The PerformanceResourceTiming API provides detailed metrics on how resources load, enabling developers to identify and address performance issues. By integrating this API with tools like New Relic, developers can aggregate data across all users and pages to uncover hidden issues, such as redirection delays or network latency. This can lead to actionable insights, enabling improvements in resource optimization, user satisfaction, and business outcomes. Through proactive monitoring and optimization, developers can ensure their applications deliver optimal user experiences across all regions.

Web developers often overlook the complexity of how assets like images and scripts load, which can impact user experiences, as illustrated by an e-commerce platform facing image loading issues that were inconsistent across users. The PerformanceResourceTiming API can offer critical insights into resource loading by providing detailed metrics, such as start time, fetch start, and duration, which help in diagnosing issues like slow or failed image loading due to redirection delays or network latency. By aggregating this data across all users and pages with tools like New Relic, developers can visualize performance metrics and identify hidden issues, ultimately allowing them to optimize resource delivery, improve user satisfaction, and drive better business outcomes. For instance, using such insights, a development team resolved image redirection delays and mitigated network latency issues by working with a CDN provider to enable a closer edge node for users in Southeast Asia, showcasing the importance of proactive resource performance monitoring in delivering reliable applications.

Session replay is a tool that enables businesses to capture and analyze user interactions on their websites by reconstructing user activities in a real-time simulation, providing insights into user experience without recording actual video footage. It captures the Document Object Model (DOM) and Cascading Style Sheets (CSS) to give a comprehensive view of user navigation, allowing teams to identify and address issues, optimize user experience, and improve website performance. The tool is particularly beneficial for DevOps, UX, and marketing teams as it helps in debugging, enhancing customer support, and boosting conversion rates by offering a detailed understanding of user behavior and site functionality. While session replay provides valuable data, it also ensures user privacy by encrypting data and masking sensitive information according to regulations like GDPR. It integrates with other digital experience monitoring tools for a holistic analysis of user interactions, although the implementation may require careful management to avoid tool overload and ensure consistent data analysis across evolving web designs.

Advancements in AI models, such as DeepSeek-R1 and DeepSeek-V3, are democratizing AI development by providing cost-effective, high-performing solutions accessible to developers globally. These models, distinguished by innovative architectures like the mixture-of-experts (MoE), offer efficient performance in tasks like reasoning while minimizing computational costs. New Relic's AI monitoring now supports DeepSeek models, enhancing developers' ability to track performance, quality, and costs in real-time, thus facilitating informed transitions between models. The integration with New Relic allows for comprehensive visibility into application performance, offering tools for real-time monitoring, deep tracing, and model comparison to aid in selecting the most suitable AI model for specific needs. The open-source nature of DeepSeek models and their compatibility with tools like Ollama for local deployment further bolster their attractiveness, providing scalable solutions without significant expenses.

Session replay is a tool that captures and reconstructs user interactions on websites, enabling businesses to analyze user experiences in detail without recording actual video footage. It provides insights into site navigation, identifying areas where users encounter issues and aspects that function smoothly, benefiting DevOps, User Experience, and marketing teams. Operating by recording changes to the Document Object Model (DOM) and integrating with application performance monitoring (APM) data, session replay offers a video-like playback that helps diagnose and resolve problems effectively. Ensuring privacy and compliance with regulations like GDPR, the tool encrypts data and allows masking of sensitive information. By offering detailed user behavior insights, session replay aids developers, customer support, and product managers in optimizing web experiences, enhancing customer satisfaction, and boosting conversion rates. New Relic’s session replay platform exemplifies a compliant and secure solution, providing rich, AI-driven insights to improve digital experience monitoring while integrating seamlessly with other observability tools.

The AI landscape is rapidly advancing with the introduction of models like DeepSeek-R1, Deepseek-V3, Kimi K-1.5, and Qwen-2.5-max, which are democratizing AI development by making advanced technologies more accessible and affordable. This evolution raises questions about the suitability and impact of different models for specific applications, necessitating robust monitoring tools to provide actionable insights into performance, quality, and cost. New Relic has expanded its AI monitoring capabilities to include DeepSeek models, offering developers the ability to leverage these open-source models' efficiency and innovative architecture while maintaining comprehensive application visibility. DeepSeek models, particularly the DeepSeek-R1, are noted for outperforming leading AI models in reasoning tasks at a lower cost due to their mixture-of-experts architecture, which activates only relevant submodels for specific tasks. The article guides users through setting up DeepSeek models locally and integrating them with New Relic AI monitoring, enabling real-time performance evaluation and model comparison to optimize AI application functionality. Additionally, it highlights the security benefits of locally hosted models and explains how New Relic's monitoring can exclude sensitive data, further enhancing privacy and security for AI applications.