Systems | Development | Analytics | API | Testing

Viktor Gamov also contributed to this post. In recent decades it’s become common for communication between backend services to employ HTTP APIs with JSON payloads. Many HTTP APIs adhere (or at least aspire) to REST Principles, though many fall into a category we’ll call "REST-like".

Since our last Kong Konnect monthly update, we’ve been hard at work to deliver some more powerful features in Kong Konnect, including consumer groups, dynamic client registration using Curity and Auth0, plugin ordering, and streamlined Docker runtime instance creation. Read on to learn what’s new in Kong Konnect.

We’re excited to announce the release of Kong Mesh and Kuma 2.1! In this release, we’re shipping the full suite of new and improved policies announced (and started) in 2.0. Additionally, we’re launching some more great UX improvements in the UI and a host of smaller fixes. In order to take advantage of the latest and greatest in service mesh, we strongly suggest upgrading to Kong Mesh 2.1. Upgrading is simple through kumactl or Helm.

APIs have become the center of software development, connecting and transferring data across systems and applications. Luckily, testing them can greatly improve the efficiency of your test strategy as a whole, helping you deliver software faster than ever. API testing is an essential part of the software development process, and it’s important to have a team that can work together to create accurate and efficient tests.

Testing Kubernetes Ingress resources can be tricky, and can lead to frustration when bugs pop up in production that weren’t caught during testing. This can happen for a variety of reasons, but with Ingress specifically, it often has to do with a misalignment between the data used in testing and the traffic generated in production. Tools like Postman can be a great way of generating traffic, but they have the drawback of being manually created.

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

The joy (and sometimes woe) of working in technology is that we’re forever learning. The software stack is constantly changing, so innovators come to embrace a lifetime of learning. In this ever-evolving IT landscape, measurable skills have become the global currency for IT professionals. In this post, we’ll talk about the selection of courses offered through Kong Academy and the Kong Certification program, as well the benefits of microcredentials for employers and employees.

Modern business runs on software. This involves storing business data, and moving that data from place to place. In the old days, software stored the data in a siloed fashion. This meant it was only available in one place, cutoff from the rest of the world. Companies struggled to pull data from different locations. Combining it in meaningful ways was difficult. This isolated data only provided a fraction of its potential value. In modern applications, the data wants to be free.

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.