Systems | Development | Analytics | API | Testing

Efficient management and updating of configuration files is essential in modern software settings, particularly when these files are stored on cloud storage services such as AWS S3. There are a number of issues associated with this process, such as maintaining data integrity, reducing downtime, and maximizing network and storage use.

DreamFactory simplifies API management with powerful logging tools that boost security, track performance, and ensure compliance. Here's what you need to know: With DreamFactory, you can set up production-ready APIs with detailed logging in just 5 minutes, saving time and costs while maintaining robust security and performance.

We are introducing a new approach for building, deploying, and managing AI applications. This approach features a visual, drag-and-drop model for building AI apps and supports deep integration with enterprise data and application infrastructure.

In the SaaS world, providers must offer tenant isolations for their customers and their data. This is a key requirement when offering services at scale. At Kong, we've invested a lot of time to provide a scalable and seamless approach for developers to avoid introducing breaches in our systems. In this article, we'll explore the challenges of tenant scoping and how we address them effectively.

When you’re gearing up for a big launch—be it a product update, marketing campaign, or just steady growth—you want to know how many people can hammer on your app or website at once before things start to break. That’s where calculating concurrent users comes in. Whether you’re a non‑technical business owner, a student learning the ropes, or a seasoned DevOps engineer, this guide will walk you from the basics to advanced tips in a friendly, jargon‑free way.

In today's digital age, organizations are experiencing an unprecedented increase in data generation. In 2010, the world stored about two zettabytes of data, and this number is expected to hit 175ZB in 2025. This immense growth underscores the importance of data efficiency in modern organizations. Data efficiency ensures that data is stored, processed, optimized for performance, and managed—cost effectively.

AI-powered development is moving faster than ever. Tools like Cursor, Windsurf, and GitHub Copilot, and models like ChatGPT-4, Claude, and Gemini transform how software is built. These tools can generate code, solve problems, and deliver full applications in a single day, far quicker than traditional methods. But with this rapid development comes a major challenge: testing. While code is generated in hours, traditional testing tools and methods lag.