Systems | Development | Analytics | API | Testing

Switching from SOAP to REST APIs can transform enterprise systems, offering faster performance, lower costs, and easier integration. REST's simplicity, lightweight JSON format, and scalability make it the preferred choice for modern applications. Here’s a quick look at five real-world examples of how industries benefit from this migration.

In today's interconnected SaaS landscape, application programming interfaces (APIs) have emerged not just as technical enablers but as strategic assets. For field service businesses managing complex operations—from dispatch and inventory to customer engagement—the Service Fusion API offers a powerful gateway to automation, integration, and operational intelligence.

Building a faster, more reliable, scalable, and efficient API requires the use of an appropriate framework and tools. The communication protocol used to build an API usually has a significant impact on its effectiveness and speed. Jump in with us and learn how to build a gRPC Node.js API.

Today, we're excited to announce the general availability of AI Manager in Kong Konnect, the platform to manage all of your API, AI, and event connectivity across all modern digital applications and AI agents.

OAuth scopes and RBAC (Role-Based Access Control) are two methods for managing access control, but they serve different purposes and operate in distinct ways.

APIs (Application Programming Interfaces) are like bridges that let different software systems talk to each other. Among the many types of APIs, REST APIs are the most popular because they follow a simple and well-defined architecture. In this blog, we’ll explore what REST APIs are, how they work in Python, and how you can build and test them easily.

Agile Testing has become essential in modern software development, where fast-paced changes, rapid delivery cycles, and evolving user needs dominate the landscape. In scenarios where traditional testing slows down release cycles or fails to adapt to shifting requirements, Agile Testing emerges as a proactive solution. Integrating testing throughout development ensures software quality while maintaining speed and responsiveness.

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.