May 2025 Summaries

Event-Driven Architecture (EDA) plays a crucial role in asynchronous workloads by facilitating the processing and routing of events in distributed systems, particularly through microservices. EDA is widely used across various sectors, including e-commerce and serverless applications, to ensure real-time processing and flexibility. Key challenges in implementing EDA include the complexity of monitoring, handling telemetry overload, ensuring idempotency, and managing performance metrics. Observability becomes essential in addressing these challenges, with tools like New Relic offering integrations for AWS services such as SQS and SNS to enhance visibility through metrics, logs, events, and traces. These integrations allow for comprehensive monitoring and custom dashboards, providing insights into the performance and efficiency of EDA systems. The blog emphasizes the importance of a robust observability framework using New Relic's integrations to maintain effective monitoring and troubleshooting capabilities in complex architectures.

Event-Driven Architecture (EDA) is a software design pattern widely adopted for its ability to enable real-time responses and maintain loose coupling between microservices, making it popular in various applications such as e-commerce and serverless systems. EDA's reliance on asynchronous event processing poses several observability challenges, including telemetry overload, data inconsistency, and idempotency issues, which can hinder efficient monitoring and troubleshooting of distributed systems. To address these challenges, an observability layer is crucial, utilizing the core pillars of Metrics, Events, Logs, and Traces (MELT) to gain insights into system performance and behavior. New Relic's integrations with AWS services like Amazon SQS and SNS facilitate effective observability by leveraging CloudWatch Metrics and providing comprehensive dashboards to track key performance indicators, enabling developers and architects to manage complexity and ensure system resilience effectively.

New Relic has introduced a groundbreaking integration with the coding agent in GitHub Copilot, aiming to enhance software development through AI-driven automation and intelligent observability. This solution is designed to streamline issue detection, resolution, and validation, allowing developers to concentrate on innovation by reducing manual and error-prone tasks. By linking New Relic’s observability platform with GitHub Copilot, the integration automates the entire lifecycle of software development, from monitoring code performance to generating and resolving GitHub issues autonomously. Developers benefit from faster issue resolution, improved system reliability, and accelerated deployment cycles, as the integration fosters proactive management of performance disruptions and seamless user experiences. This partnership with Microsoft builds on New Relic’s existing tools to create a unified ecosystem that enhances development efficiency and supports continuous improvement, enabling organizations to innovate without compromising quality.

New Relic's integration with GitHub Copilot introduces an AI-driven solution that enhances the software development lifecycle by streamlining issue detection, resolution, and validation through automation. This collaboration allows developers to focus on innovation by removing manual bottlenecks and enabling proactive problem-solving. By continuously monitoring application health and automating GitHub issue generation, New Relic provides deep insights into code performance, automatically generating fixes and verifying them post-merge. The integration not only accelerates issue resolution and boosts developer productivity but also improves system reliability and accelerates deployment cycles, fostering a seamless user experience. By leveraging intelligent observability and automation, New Relic’s solution empowers organizations to maintain a competitive edge in the fast-paced software landscape, driving innovation while ensuring application quality and reliability.

Database monitoring, a specialized form of application performance monitoring (APM), is essential for ensuring that database systems operate optimally, remain secure, and comply with regulations, as they are crucial to the seamless functioning of modern businesses. Effective database monitoring involves tracking critical metrics, analyzing key events, and processing logs and traces to provide insights into query efficiency, resource consumption, and security threats. It utilizes intelligent analytics, alerts, and automation to help IT teams proactively address issues before they impact users. The process also includes performance monitoring, security monitoring, and compliance monitoring to protect data integrity and adhere to regulations, such as GDPR and HIPAA. The challenges of database monitoring include managing the complexity and volume of data, ensuring scalability, and accommodating diverse technologies. Best practices for effective monitoring involve setting baselines, analyzing logs, optimizing queries, and establishing real-time alerts, all of which aid in maximizing database performance and maintaining customer trust and operational efficiency. Additionally, New Relic offers tools like APM 360 for comprehensive database monitoring, providing real-time insights and enhancing performance and security.

New Relic Scorecards offers a strategic solution for maintaining high engineering standards across organizations by providing a platform that assesses, enforces, and improves engineering practices with predefined scorecards focused on critical areas such as production readiness, documentation, DORA metrics, operational readiness, security, and more. These scorecards serve as a foundational framework for both large enterprises and SMEs, promoting consistency and quality in software development. The platform allows for customization to meet specific organizational goals and offers automated reporting with long-term tracking to support continuous improvement. Integrating with GitHub, Scorecards enhances management and visibility for teams, aligning engineering practices with business needs. Available as part of New Relic's Advanced Compute innovations, Scorecards supports usage-based access, optimizing expenditure while eliminating static license fees, thus positioning itself as a vital asset for fostering a culture of engineering excellence.

New Relic Catalogs is a tool designed to help engineering teams overcome challenges related to information silos, inefficient onboarding, and incident response by creating a centralized system of record for services and components within a digital environment. The Catalog provides contextual information such as documentation, ownership, performance, and security data, which enhances productivity by reducing the time spent searching for information. It supports various use cases like instant ownership discovery, contextual debugging, accelerated onboarding, change risk assessment, audit readiness, and knowledge sharing. By integrating with other New Relic capabilities, it offers a unified view of system entities, enriched with real-time telemetry data, enabling engineers to make informed decisions, streamline operations, and improve performance. Available as part of New Relic's Advanced Compute innovations, Catalogs are usage-based, optimizing costs and eliminating static license fees, ultimately enhancing productivity and reducing cognitive load for large development organizations.

In the digital era, integrating security into every phase of the Software Development Lifecycle (SDLC) is essential to ensure robust and secure applications. The Secure SDLC (SSDLC) framework embeds security practices from the beginning of the development process, reducing the risk of vulnerabilities and improving compliance with regulations. Key principles include least privilege, data protection, and regular audits, while tools like New Relic's Interactive Application Security Testing (IAST) provide continuous security assessments and feedback. The framework aligns with guidelines from the Open Web Application Security Project (OWASP) and emphasizes early integration of security, continuous testing, and fostering a security-focused culture. Challenges such as resource strain, complex regulations, and balancing speed with security can be mitigated through automation, training, and integrating security into the DevOps process. The goal is to create a seamless, proactive approach to security that evolves alongside software development, turning security from a reactive measure into a strategic advantage.

New Relic Scorecards is a strategic solution designed to enforce and improve engineering standards across diverse teams and projects by providing predefined scorecards focused on essential areas of engineering best practices. These scorecards cover aspects such as production readiness, ownership and documentation, DORA metrics, operational readiness, security, web vitals, AWS reliability, tagging compliance, and APM best practices, serving both large enterprises and SMEs by ensuring consistency and supporting high standards. Customizable scorecards allow organizations to tailor metrics to specific needs, while automated reporting and long-term tracking enable continuous improvement by offering insights into trends and performance over time. The integration with GitHub enhances management and visibility, and the platform is available through New Relic’s Advanced Compute innovations, offering usage-based billing to optimize costs. By positioning itself as more than just a compliance tool, Scorecards aims to foster a culture of engineering excellence and quality software development.

New Relic Catalogs provide a centralized system to manage and access crucial metadata about services and components within an organization's digital environment, addressing engineering pain points such as knowledge silos, slow onboarding, and inefficient incident response. By offering a unified view, real-time telemetry data, and seamless integration with other New Relic capabilities, Catalogs enhance productivity and decision-making, enabling quick discovery of service ownership, dependencies, and documentation. This reduces cognitive load, accelerates debugging and triaging, improves compliance readiness, and facilitates effective change management, ultimately boosting individual and business performance. Available as part of New Relic's Advanced Compute usage model, Catalogs aim to streamline workflows by offering a personalized and comprehensive overview of system architecture, thereby supporting large development organizations in navigating complex service environments.

Database monitoring is an essential aspect of application performance monitoring (APM) tailored specifically for database systems, offering IT teams the necessary insights to optimize performance, ensure stability, and maintain security. It is crucial for maintaining seamless operations across all business sectors, as slowdowns or breaches in database systems can significantly impact both internal and customer-facing processes. Effective database monitoring involves tracking critical metrics, analyzing key events, and processing logs and traces to evaluate query efficiency and provide comprehensive insights. This process relies on intelligent analytics, automation, and visual dashboards to proactively address potential issues, maximize availability, optimize query efficiency, and protect data integrity. Challenges in database monitoring, such as data volume, technology diversity, and compliance, are addressed through strategic planning, selecting appropriate metrics, and leveraging AI-powered tools. Best practices include setting baselines, prioritizing security and compliance monitoring, and utilizing real-time alerts and automation for efficient problem resolution. Solutions like New Relic APM 360 offer integrated tools for real-time monitoring, alerting, and reporting, enhancing database performance and security.

Structured logging involves creating log messages in a machine-readable format, like JSON, to facilitate efficient automated processing and analysis. Unlike unstructured logs that consist of free text, structured logs use predefined fields for data extraction, improving machine readability and simplifying troubleshooting. Python's structlog library enhances structured logging by wrapping the standard logging module to produce key-value pairs in a JSON format, allowing for easier management and configuration of logs. The library includes various processor pipelines, such as TimeStamper and JSONRenderer, to format and route log entries effectively. When implementing structured logging, it's essential to select a consistent log format, identify critical parameters for logging, and collaborate with different teams to ensure meaningful data collection. The integration of structured logging with observability tools, like New Relic, can offer additional benefits, including enhanced search and analysis capabilities, centralized logging, and context-aware insights. By leveraging structured logging, organizations can achieve more standardized and gap-free log data, which is crucial for effective monitoring and analysis across various services and applications.

Monitoring Windows logs is crucial for uncovering insights into server and desktop performance, troubleshooting issues, and maintaining secure systems. Windows logging categorizes events as 'events' stored in various logs such as Application, Security, Setup, System, and Forwarded events, with the Event Viewer serving as the primary tool to view and manage these logs. The article provides guidance on using Event Viewer, including enabling Analytic and Debug logs, filtering and creating custom views, saving and clearing logs, and utilizing event data in external tools. It underscores the importance of integrating Windows event logs into observability platforms, like New Relic, to enhance system insight and problem-solving efficiency. The article is authored by Jon Garside, who brings a background in cybersecurity and intelligence to his role as Principal Product Marketing Manager at New Relic.

Monitoring Windows logs is crucial for IT teams to troubleshoot issues, optimize system performance, and maintain security, as they provide a centralized repository for data logged by the operating system and various applications. Windows logs categorize events into several types, including application, security, setup, system, and forwarded events, each offering insights into different aspects of system activity. The main tool for accessing these logs is the Event Viewer, which allows users to view, filter, and analyze logs, and offers the ability to create custom views for specific events or conditions. Additionally, logs can be exported for further analysis with external tools, enhancing problem-solving capabilities. Integrating these logs with observability platforms like New Relic enables deeper insights into system operations and accelerates troubleshooting processes through advanced AIOps technologies.

New Relic has been recognized as a leader in the European observability market by the IDC MarketScape: European Observability Market 2025 Vendor Assessment, highlighting its commitment to empowering digital businesses across Europe through a unified and programmable observability platform. This recognition underscores New Relic's ability to address the complexities of the digital landscape, including regulatory challenges, hybrid cloud environments, and skills shortages, by offering a platform with extensibility that allows customization to meet specific business needs. The platform's features include full-stack visibility, AI-powered intelligent observability, and digital experience monitoring, enabling organizations to achieve digital resilience, improve user experience, optimize IT efficiency, and enhance cybersecurity. Additionally, New Relic's AI Monitoring (AIM) platform provides comprehensive monitoring and optimization for AI applications, ensuring compliance with the EU AI Act. The report emphasizes New Relic's strategic place in the European market, its focus on continuous innovation, and its ability to deliver significant business outcomes such as reducing unplanned downtime by 88%. Manesh Tailor, EMEA Field CTO at New Relic, highlights the collaboration with large EMEA customers and the platform's flexibility in building custom observability applications as crucial for maximizing returns on observability investments.

New Relic has been recognized as a Leader in the European Observability Market by the IDC MarketScape: European Observability Market 2025 Vendor Assessment, highlighting the company's commitment to supporting digital businesses across Europe with its unified and programmable observability platform. The platform is designed to address the complex challenges faced by enterprises in the digital landscape, including regulatory compliance, hybrid cloud environments, and the need for digital resilience and uptime. New Relic's platform stands out for its extensibility, allowing customers to tailor observability solutions to their specific business needs, and its AI-powered capabilities that enhance digital user experiences and optimize AI applications. The company's focus on innovation and strategic collaboration with customers in the EMEA region has resulted in significant business outcomes, such as an 88% reduction in unplanned downtime. Through its Intelligent Observability Platform, New Relic aims to empower organizations to improve IT efficiency, strengthen cybersecurity, and accelerate innovation while navigating the European regulatory landscape, thereby positioning itself as a trusted partner for achieving strategic business objectives in the digital era.

In the past four decades, three groundbreaking technologies—the World Wide Web, the iPhone, and ChatGPT—have emerged, each characterized by limitless innovation and substantial value creation. These technologies have revolutionized industries by compelling businesses to adopt new customer interaction models, and AI technologies are following suit by necessitating rapid development of AI strategies. AI observability, crucial for monitoring AI systems, is gaining importance as AI becomes more integrated into various sectors. It enhances performance monitoring, issue detection, robustness, and compliance, while also posing challenges such as data complexity and bias. Generative AI (GenAI) is set to transform the observability industry by quickly analyzing data to deliver insights and streamline processes, making observability more accessible. As AI-driven solutions become vital for modern business strategies, companies must embrace AI observability to stay competitive, and New Relic is positioned to lead this evolution by integrating AI capabilities into its observability platform.

As modern applications increasingly rely on distributed systems and real-time data processing, monitoring tools like New Relic play a vital role in maintaining system health and performance. New Relic provides advanced monitoring capabilities for message queues, streaming data, and event-driven architectures, with features such as real-time dashboards, custom alerts, and detailed analytics to optimize stream processing. The platform supports various messaging and streaming technologies, integrating seamlessly with New Relic One to enhance data-driven decision-making processes. For organizations using Kafka, New Relic offers specific tools to monitor Kafka node metrics, enabling in-depth visibility and optimization of broker health and performance. By leveraging New Relic's comprehensive suite, organizations can ensure the reliability and efficiency of their real-time applications and distributed architectures.

Modern applications increasingly rely on distributed systems and real-time data processing, making monitoring essential for maintaining system health and performance. New Relic offers advanced monitoring tools that enhance observability, especially for message queues, streaming data, and event-driven architectures. Its user interface simplifies navigation and provides real-time dashboards, custom alerts, and analytics for troubleshooting and optimizing streams. The platform supports various messaging and streaming technologies, integrating seamlessly with New Relic One to enhance data-driven decision-making. For organizations using Kafka, New Relic's Java Agent enables in-depth visibility into Kafka node metrics, enhancing broker health and performance monitoring. By employing these tools, organizations can optimize their operations and ensure the reliability of their real-time applications, benefiting from New Relic's comprehensive observability solutions.