Systems | Development | Analytics | API | Testing

Apigee is a cloud-based API management tool. It integrates data from databases, warehouses, data lakes and SaaS services. It is a no-code tool making it a valuable asset for citizen integrators and developers alike. However, the platform was initially designed to build APIs for monoliths. It was not designed to handle microservices. Given we are in the age of digital transformation where microservices rule, Apigee may not be suitable for a lot of use cases.

API testing is a critical part of the software development lifecycle. If you’re not performance testing your APIs, you’re putting your entire system at risk. API testing is the process of verifying and validating the functionality, reliability, performance, and security of an API to ensure it meets its requirements and behaves as expected. This guide will discuss the importance of testing and how to test APIs.

Why does API architecture matter, and how can you excel at it? It’s an important question to ask as you are trying to improve existing APIs or write new ones. In this article, we will create a high-level roadmap to understanding the foundations of API architecture, from API Gateways and data management to architectural styles like RESTful and GraphQL. We will look at best practices to enhance scalability and security and look closer at tools that support robust API development.

In my previous post, we discussed how to take advantage of VPA to implement automatic vertical scaling for our Konnect Data Planes. In this post, we'll focus on HPA for horizontal Kubernetes Pods autoscaling.

Apple’s App Store has undergone significant changes recently, and savvy iOS developers are working hard to stay ahead of the curve. Together, the recent implementation of the Digital Markets Act (DMA) regulations in the EU and App Store Review Guidelines will reshape the iOS application landscape. While some of these changes pose exciting opportunities, others demand rapid and proactive adaptation.

When building APIs, developers face a crucial challenge: how to ensure they are structured for both ease of use and long-term scalability. API design patterns offer solutions to this challenge, serving as a roadmap for creating efficient, reliable, and adaptable web services. This guide unpacks these patterns, equipping you with the approaches needed to turn your API into an exemplary model of good design.