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nodesource

Intelligent Observability: How AI is Transforming Node.js Telemetry into Actionable Optimization

Oct 9, 2025 By Lizz Parody In NodeSource
Performance monitoring for Node.js has always been about two things: collecting the right telemetry and turning that telemetry into fast, confident action. With applications growing more distributed and expectations for reliability and speed rising, traditional dashboards and manual triage are no longer enough. For organizations running Node.js at scale, identifying performance bottlenecks, memory leaks, or CPU spikes can be complex and time-consuming.
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Inside Observe's Series C $156M Funding Round And The Future of Observability

Jul 30, 2025 By Snowflake Inc. In Snowflake
Observe just closed a $156 million Series C funding round, but that's only part of the story. In the last year, the company has tripled its revenue, doubled its enterprise customer base, and achieved an incredible 180% net revenue retention rate. Snowflake's Ryan Green sits down with Observe CEO Jeremy Burton for a deep dive into the strategy, technology, and leadership behind their growth. The conversation goes far beyond the funding announcement to explore the core of what makes Observe a leader in the shift to AI-powered observability.
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alphabin

Test Observability Explained for Engineering Leads

Jul 4, 2025 By Pratik Patel In Alphabin
Last quarter, something remarkable happened that reminded me why I love working in software testing. I was consulting with a major retail client preparing for their Memorial Day sale, traditionally their second-biggest revenue event of the year. We had just implemented test observability across their entire suite of 3,000+ automated tests. And instead of frantic debugging sessions and emergency war rooms, I watched our dashboards reveal insights in real time.
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smartbear

Modern apps broke observability. Here's how we fix it.

Jul 2, 2025 By Gary Wood In SmartBear
This article originally appeared on DevPro Journal. We’re sharing it here for our audience who may have missed it. For years, APM tools were everyone’s go-to solution for understanding how software behaved in production. And for a time, they worked, because architecture was simpler. Developers owned the backend, the frontend, and the data layer. Everything lived inside a monolith. If something went wrong, they could trace it through their codebase and fix it.
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Understanding AI Observability: Improve Efficiency, Security & Costs

Jun 25, 2025 By Kong In Kong
In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.
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nodesource

Real-Time Observability for Node.js - Without Code Changes

Jun 25, 2025 By Lizz Parody In NodeSource
Observability isn’t a luxury, it’s a necessity. But for teams managing large Node.js applications, getting real-time visibility into performance, memory usage, async behavior, and security can be a complex and risky endeavor, especially if it means modifying your production code. That’s where N|Solid by NodeSource changes the game. Imagine getting deep, real-time insights into your Node.js applications without touching a single line of your business logic.
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moesif

Using Moesif for API Observability and Analytics in NGINX One

Jun 18, 2025 By Abu Sakib In Moesif
NGINX One provides a modern solution for enterprises to manage infrastructure at scale across globally distributed systems. The platform has built-in tools for essential performance and uptime metrics, giving DevOps teams visibility into the health of their NGINX instances. But for effective API observability and analytics, you have to go beyond infrastructure metrics.
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moesif

Moesif for API Observability and Analytics in NGINX OpenResty

Apr 30, 2025 By Abu Sakib In Moesif
NGINX with OpenResty offers unmatched performance for serving APIs (application programming interfaces) at scale, with the added benefits of the open-source ecosystem. It’s fast, flexible, and production-proven—an ideal choice for scalable web platforms and high-throughput APIs. But even the most reliable platform can leave teams blind to what matters: real-time API usage, user behavior, and production errors.
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tricentis

Testing with observability in mind: How NeoLoad + Datadog improve every release

Apr 28, 2025 By Bryan Cole In Tricentis
Collaboration across IT is increasingly critical to having a smooth and effective software release cadence. As software complexity grows, it becomes more difficult for individual team members to have a thorough understanding of all the different elements that comprise a successful software application.
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