Systems | Development | Analytics | API | Testing

Introducing N|Sentinel: Your AI-Powered Agent for Node.js Performance Optimization

In the fast-paced world of modern software development, performance is no longer just a backend concern—it's a critical driver of user satisfaction, infrastructure cost, and business growth. At NodeSource, we're excited to unveil a new feature in the N|Solid platform that takes Node.js application performance to a new level: N|Sentinel.

Top 9 Sites to Buy YouTube Views, Likes, and Subscribers in 2025 (Safe & Real)

YouTube is still one of the hardest platforms to grow on in 2025. While the quality of your content matters, early engagement can make or break whether a video gets recommended. This is why many creators now use strategic paid engagement to help their videos gain momentum-especially in the first few hours after publishing. Buying YouTube views, likes, and subscribers isn't about faking success. It's about increasing discoverability and giving solid content the push it needs to reach real audiences. But choosing the right provider makes all the difference.

Astera's Vision for Agentic AI: The Why Behind Astera AI Agent Builder

Curious to know what inspired the creation of the Astera AI Agent Builder – the fastest way to build, test and launch autonomous AI agents with your enterprise data? In the first episode of Round Table Series, join our AI Product Strategist Ayesha Amjad, AI Product Specialist Muhammad Hasham Qazi, and Software Architect Humza Khatri as they share the story behind the innovation. They’ll talk about the reasons that sparked the idea, the challenges they tackled, and how they’re shaping the future of AI-powered agents with Astera.

Ep 9 - Bottlenecks to Breakthroughs: How Covetrus Solved Latency with Streaming

For enterprises managing sprawling systems and frequent M&A activity, data latency isn’t just inconvenient—it’s a blocker to business value. In this episode, Joe Pardi, Senior Director of Global Data Engineering at Covetrus, explains how his team replaced fragile data pipelines with a robust real-time data streaming architecture that enables instant decisions across the entire enterprise.

How QA teams can leverage AI assistants

AI has been booming and has become a transformative force in several industries, software testing and QA are no different. With the evolution of technology and complexity of applications, automation and big-volume data analysis require extra assistance, and that’s where AI might come in handy. In QA, AI could help improve the efficiency of test management tasks, reducing manual effort.

AI and the Future of Finance: Decoding Earnings Calls

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.

How to Master AI/LLM Traffic Management with Intelligent Gateways

As businesses increasingly harness the power of artificial intelligence (AI) and large language models (LLMs), a new challenge emerges: managing the deluge of AI requests flooding systems. This exponential growth in AI traffic creates what could be considered a gratifying predicament—high demand for your AI services—but also introduces complex challenges that must be addressed for sustainable operations.