We’re thrilled to announce an exciting new release of N|Solid, bringing powerful updates designed to enhance Node.js performance and scalability. This release introduces two major features: These updates mark important advancements for Node.js developers and operations teams. The gRPC transition ensures a solid foundation for scaling and future-proofing your applications, while the AI-powered profiling tools empower you to fine-tune your performance with increased precision.

Optimizing Node.js applications often involves sifting through complex performance data, trying to uncover hidden inefficiencies or bottlenecks. With N|Solid’s AI-powered profiling tools, you gain more than just data—you get actionable recommendations to diagnose and resolve issues with precision and speed. By leveraging predefined prompts and AI-powered analysis, the copilot not only highlights bottlenecks, inefficiencies, or anomalies but also provides clear guidance on how to address them.

You might have noticed that your Java program appears slow when handling several tasks at once. Multithreading can help in this situation! Performing operations in a sequential manner is not only inefficient but also a lost opportunity in the world of multi-core processors and advanced software. With multithreading, Java applications can manage several tasks at once, which improves responsiveness and efficiency.

More than ever, it’s vital for organizations to develop software fast. Businesses are ever seeking ways to speed up their development, launch products sooner, and beat the competition. This is where AI proxies come into play. They're a new technology that helps developers solve tough software development challenges.

AWS Lambda has become a cornerstone of serverless architecture, enabling developers to run code without provisioning or managing servers. However, as applications grow, managing shared code, dependencies, and runtime configuration across multiple Lambda functions becomes challenging. This is where Lambda Layers step in to streamline development and deployment. In this blog we will explore what Lambda Layers are, why they are needed, how they work, and much more.

Earlier this year, we unveiled our vision for Tableflow to feed Apache Kafka streaming data into data lakes, warehouses, or analytical engines with a single click. Since then, many customers have been exploring, experimenting with, and providing valuable feedback on Tableflow Early Access. Our teams have worked tirelessly to incorporate this feedback and are excited to bring Tableflow Open Preview to you in the near future.