Systems | Development | Analytics | API | Testing

In today’s interconnected and dynamic world of microservices, ensuring optimal traffic management and protection against malicious attacks are critical. Rate limiting, a popular mechanism for controlling request flow, gets more effortless with the introduction of Global Rate Limiting in Kong Mesh. In this blog post, we’ll explore this exciting new feature and its benefits in detail.

We are thrilled to announce that we have reached a significant milestone in our journey to provide the best possible developer experience to our Kong user community. We have added a host of new functionality to decK, our declarative management tool for Kong Gateway. These new functions enhance API lifecycle automation (APIOps) capabilities and provide a smoother path to federated API management. These features are now available to everyone and can be found in decK 1.24.0.

API-first startups must prioritize the development and utilization of their Application Programming Interfaces (APIs) as the foundation of their growth model. API-based organizations heavily rely on management and analytics to ensure the smooth functioning, monitoring, and optimization of their APIs. However, the decision to build or buy an API management tool becomes crucial as it directly impacts the SaaS provider’s resource allocation, time-to-market, and overall business strategy.

In today’s digital landscape, APIs (Application Programming Interfaces) play a crucial role in enabling seamless integration and communication between software applications and platforms. With API technology being front and center in digital transformation, there has been a significant rise in the demand for API-first solutions that offer a wide array of services for software developers.

Our thing is to let you deploy your apps globally in less than 5 minutes with high-end performance. Not only does this require us to be meticulous about everything composing our infrastructure layer, but also we have to support high-level protocols like WebSockets, HTTP/2, and gRPC. There are two major things in the infrastructure impacting performance: hardware and network. On the hardware side, we deploy all apps inside microVMs on top of high-end bare metal servers around the world.

Test automation has become an essential part of the software development process. Rather than spending hours conducting manual tests, you can write a script once and execute it with each release. This helps to maximize test coverage and save time, resulting in lower testing costs and a better customer experience. But which test automation tool should you use? What’s the difference?