Systems | Development | Analytics | API | Testing

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.

Kong Ingress Controller 3.1 provides brand-new capabilities for keeping your secrets secure. We’ve introduced new KongVault and KongLicense CRDs, and added a way to keep sensitive information in your cluster when using KIC in Konnect. Finally, there’s a quality-of-life improvement that allows you to use a Kubernetes secret to populate a single field in a KongPlugin configuration.

In today's dynamic software development landscape, efficient and scalable test management is crucial for ensuring the quality and reliability of software products. Jira, a popular project management tool, offers a robust solution for test management through its integration with Zephyr Scale. In this blog post, we’ll explore the high-level importance of reusability features in test management and how they contribute to scaling your testing efforts.

REST APIs are emerging as a simple and secure way to access sensitive government data, serving as conduits that enable seamless access and manipulation of data across various government systems. Government agencies face the pressing need to modernize their IT infrastructure to improve service delivery, enhance operational efficiency, and ensure the security of data exchanges.

API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.