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Tracing of Node.js for Better Visibility and Performance with N|Solid

Tracing is a critical feature in N|Solid that allows developers to analyze application performance by visualizing the relationships between different processes through spans and traces. Without proper tracing, debugging performance issues becomes significantly more challenging, as developers lack visibility into how requests flow through an application. Tracing helps pinpoint bottlenecks, optimize request execution, and improve overall application efficiency.

A Distributed State of Mind: Event-Driven Multi-Agent Systems

This article was originally published on InfoWorld on Jan. 28, 2025 While large language models (LLMs) are useful, their real power emerges when they can act on insights, automating a broader range of problems. Reasoning agents have a long history in artificial intelligence (AI) research—they refer to a piece of software that can generalize what it has previously seen to apply in situations it hasn’t seen before.

DevOps Maturity Model: Key Stages, Challenges, and Best Practices

Technology is changing very quickly. Businesses that do not update their software delivery processes may lose their competitive edge. Traditional IT models depend on manual processes and separate teams. They struggle to meet market demands. This leads to delayed deployments, frequent failures, and inefficiencies in operations. Meanwhile, organizations that have fully embraced DevOps principles and automation are achieving remarkable efficiency and resilience.

Rethinking AI's Role in Leadership, Governance, and Productivity

AI is reshaping development, but is it meeting expectations? In this episode of Test Case Scenario, Jason Baum and Marcus Merrell explore the evolving role of AI in software development, drawing insights from recent industry reports. They discuss whether AI tools are living up to their promise of reducing burnout and boosting productivity while examining the complexities of debugging, security risks, and governance gaps.

More AI, More Problems?

AI was supposed to be the game-changer for developer productivity, but reality isn’t living up to the hype. GPT-4 took 50x the resources of GPT-3.5, yet the improvement? Barely noticeable. AI-generated code isn’t saving time—it’s creating more debugging, security headaches, and compliance risks. The real issue? It’s not the AI—it’s how we’re using it. AI isn’t freeing up developers for innovation—it’s adding more noise. So, what’s the fix? Catch the full conversation on the latest Test Case Scenario.

How to Handle iFrames and Frames in Selenium WebDriver?

Frames and iFrames (Inline Frames) are regularly used in web pages to embed content from external sources or divide a page into multiple sections. Handling frames and iFrames is a common challenge during test automation for the Selenium WebDriver, as switching between different contexts within the same page is necessary to interact with elements appropriately. Read further to learn about the approach to handling frames and iFrames in Selenium WebDriver.

Feature Spotlight - Power Up with Astera's Custom API Connectors | Astera Data Pipeline Builder

Our new weekly series uncovers Astera Data Pipeline Builder’s most powerful capabilities. First up: Effortless Data Connectivity with Astera! Watch how Astera lets you quickly connect to 100+ data sources. Whether you’re leveraging our powerful pre-built connectors or building custom API connections, integrating your data has never been this easy or flexible. Connect to any platform, anywhere, anytime.