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Python is an extremely popular programming language for building RESTful APIs. Choosing the right framework to create your APIs with is a crucial factor in the initial build phases. In this post, we will explore 5 of the most popular REST API frameworks for building web APIs with Python. These frameworks all leverage Python but have varying levels of complexity and customization. First, let’s dig into some key factors in deciding which framework to begin building with.

We’re excited to announce the general availability of Kong Enterprise 3.1. In Kong Enterprise 3.1, we build on the foundation of our plugin ecosystem by introducing five new plugins and enhancing the functionality of existing ones. These include: We’ll explore the ins and outs of each of these plugins below. But first let’s talk about why plugins are such an important part of Kong’s solutions.

We’re excited to announce new features in Kong Konnect that are designed to increase security and streamline API management. Read on to learn more about what’s new in Kong Konnect.

As 2022 draws to a close, we sat down with our Chief Revenue Officer Devaka Randeniya to talk about how WSO2 performed over the year, key highlights, and what stakeholders can expect in 2023.

As with many engineering problems, there are many ways to build RESTful APIs. Most of the time, when building RESTful APIs, engineers prefer to use frameworks. API frameworks provide an excellent platform for building APIs with most of the components necessary straight out of the box. In this post, we will explore the 10 most popular REST API frameworks for building web APIs. These frameworks span multiple languages and varying levels of complexity and customization.

I’m pleased to share that WSO2 has been recognized by Gartner® in both the Magic Quadrant™ for Full Life Cycle API Management . We view this as validation of the efforts we’ve made to address real-world enterprise demands. We’re sincerely thankful to our many satisfied customers for sharing their feedback on how WSO2 has been instrumental in driving innovation and success.

As an application developer, have you ever had to troubleshoot an issue that only happens in production? Bugs can occur when your application gets released into the wild, and they can be extremely difficult to debug when you cannot reproduce without production data. In this blog, I am going to show you how to safely send your production data to development applications deployed using a service mesh to help you better debug and build production proof releases.

Digital transformation is one of the hottest new business models in the enterprise today. Going through this process places digital technologies front and center in all of a company’s strategic goals. And it’s not an easy undertaking, either. You’ll need to contemplate and analyze core business functions carefully. You’ll also need to involve change management and invest time and resources, but the potential rewards are many.

Organizations are starting to realize that simply writing tests to generate traffic is simply not good enough. Rather, production traffic replication is now necessary, where you record traffic from your production environment and then replay it in your development environment. To match the modern principles of this testing methodology, it makes sense to also utilize modern infrastructure, like Kubernetes.