September 2025 Summaries

New Relic has been recognized as a Leader in the IDC MarketScape: Asia/Pacific AIOps Software Platforms 2025 Vendor Assessment, highlighting its commitment to innovation in artificial intelligence and dedication to the Asia-Pacific market. Their AIOps solution, part of an intelligent observability platform, aims to shift IT operations from reactive firefighting to proactive incident management by reducing noise, providing comprehensive incident context, and forecasting potential issues using historical data. New Relic’s platform integrates seamlessly with existing tools like ServiceNow and GitHub Copilot, offering a domain-agnostic approach that empowers IT and engineering organizations to optimize business and IT operations while controlling observability and cloud resource costs. The platform's pricing model aligns costs with usage, allowing customers to access all functionalities without complex licensing. New Relic is celebrated by its customers for its scalable, user-friendly telemetry insights and proactive AIOps solutions, and encourages further exploration of their offerings through free trials and community engagement.

New Relic has been recognized as a Leader in the IDC MarketScape: Asia/Pacific AIOps Software Platforms 2025 Vendor Assessment, highlighting its commitment to innovation and the Asia Pacific region. The company's AIOps solution, part of their intelligent observability platform, aims to shift IT operations from reactive to proactive incident management by reducing alert noise, speeding up detection and resolution times, and providing comprehensive context for incidents. New Relic's platform integrates seamlessly with existing tools like ServiceNow and GitHub Copilot, helping IT Ops, SRE, and engineering teams to act on insights in their native environments. The company emphasizes a domain-agnostic approach and offers a platform-based pricing model that aligns costs with value, enhancing cost optimization functionalities. New Relic is proud of its customer recommendations for providing a user-friendly and scalable observability-driven solution, driven by AI-powered alerts and clear correlation logic. They credit their success to their innovative teams, partners, and customers, and invite users to explore their AIOps solution further.

The fifth annual Observability Forecast, based on a survey of 1,700 engineering and IT leaders worldwide, highlights the shift towards Intelligent Observability driven by AI integration, calling for a transition from traditional monitoring to advanced, AI-powered observability platforms. The report notes a significant increase in AI monitoring adoption, which rose from 42% in 2024 to 54% in 2025, emphasizing the need for real-time insights into complex systems to prevent failures. Organizations are recognizing the business value of observability, with the report indicating substantial returns on investment, such as reduced downtime and improved operational efficiency, while also noting challenges in achieving full-stack observability due to complex tech stacks and tool fragmentation. Industry-specific insights reveal varied adoption and ROI trends across sectors like retail, media, and telecommunications, each facing unique challenges and opportunities. The report stresses strategic imperatives for IT and data leaders, urging the adoption of unified platforms, fostering an observability-driven culture, and leveraging AI for proactive operations to enhance system resilience and predictive capabilities in the forthcoming era of technology.

The fifth annual Observability Forecast, based on a survey of 1,700 engineering and IT leaders worldwide, highlights the growing importance of intelligent observability driven by AI adoption. The report underscores a shift from basic monitoring to AI-powered observability platforms that offer deeper insights into complex, distributed systems, mitigating hidden failures and enhancing incident response through features like AI-assisted troubleshooting and predictive analytics. Observability is shown to deliver tangible business value, reducing downtime costs significantly, with many organizations reporting a high return on investment. However, challenges remain in achieving full-stack observability due to complex technology stacks and tool proliferation, prompting a trend towards tool consolidation and unified platforms. Industry-specific insights reveal that sectors like retail, media, and telecommunications are increasingly relying on AI to drive observability adoption, with varying degrees of success and impact. The report calls for strategic imperatives, such as unified platforms and an observability-driven culture, to prepare for a future where AI and resilience are central to business operations.

The holiday shopping season poses significant challenges for retailers, with potential glitches during peak times causing substantial financial losses and reputational damage. A study by New Relic highlights that the cost of high-impact outages for retailers can exceed $1 million per hour, emphasizing the need for effective monitoring and observability solutions. Retailers are increasingly adopting AI monitoring and predictive analytics to anticipate and prevent system issues, with 54% already using AI tools and another 24% planning to do so within the next year. These technologies not only enhance incident resolution speeds by up to 50% but also support security and compliance, cost management, and customer experience management. Intelligent observability, offering AI-assisted troubleshooting, root cause analysis, and automated remediation, is becoming essential in ensuring seamless operations and safeguarding revenue during critical periods. With the growing complexity of retail systems, AI observability acts as a predictive safety net, reducing the risk of downtime and maintaining customer loyalty.

The holiday shopping season, often likened to the Super Bowl of retail, underscores the critical importance of seamless digital operations as glitches can lead to significant financial and reputational damage, with high-impact outages costing retailers over $1 million per hour. As online holiday spending is projected to exceed $300 billion, retailers face the dual challenges of tight margins due to tariffs and high consumer expectations for personalized experiences. To prevent costly downtime, many retailers are increasingly adopting AI monitoring and observability technologies, which enable faster detection and resolution of system issues. New Relic's intelligent observability platform, for instance, utilizes AI to analyze performance data, aiding in the identification and remediation of potential disruptions before they affect customers. With nearly half of retailers experiencing at least one high-impact outage monthly, observability is proving vital in reducing downtime and preserving revenue and customer loyalty. The integration of AI not only assists in troubleshooting and root cause analysis but also automates remediation actions, enhancing the resilience of retail systems during peak shopping periods.