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Modern smart technologies are at the heart of the fourth industrial revolution, also known as Industry 4.0, and it holds the promise to completely change the supply chain and manufacturing sectors as we know them. Even if you’re not familiar with the term Industry 4.0 yet, you’re probably aware of the components that form the basis of this new methodology. The Internet of Things (IoT), embedded software, and microservice architecture are making all of this possible.

API abuse was once one of the most infrequent vectors for cyber security attacks. It has now moved up the list to be one of the most frequently used techniques. In a time when data is a company’s competitive edge, more and more organizations are embracing APIs to integrate various databases and applications effectively. With the amount of information shared between these APIs, securing the data and user access to that information has become increasingly important.

Kuma is configurable through policies. These enable users to configure their service mesh with retries, timeouts, observability, and more. Policies contain three main pieces of information: Kuma 2.0 introduces a new matching API that’s more understandable and powerful. In this article, we explain why we’re doing this, how to use the new policy matching API, and what’s coming next.

The Java programming language is a high-level, object-oriented language that enables developers to create robust, reusable code. Java is known for its portability and platform independence, which means that Java code can run on any system that supports the Java Runtime Environment (JRE). Java was originally developed by James Gosling at Sun Microsystems in 1995. Since then, the language has undergone several changes and has become one of the most widely used programming languages in the world.

We’re excited to announce the general availability of Kong Insomnia 2022.7. This update brings several new capabilities into the fold with a focus on improving API quality and driving productivity. Read on to learn more about what’s new in Kong Insomnia.

Current data architecture is going through a revolution. Enterprises are starting to shift away from the monolithic data lake towards something less centralized: data mesh. It’s a relatively new concept, first coined in 2019, that addresses potential issues with data warehouses and data lakes that can cause businesses to be slow, unresponsive, or even suffer from data silos. What is a data mesh, and how could it benefit your business?

IBM recently announced the deprecation of its Cloud API Gateway, a service used to create and manage APIs by placing a gateway in front of existing IBM Cloud endpoints. With this move, IBM Cloud Functions and IBM Cloud Foundry are no longer able to use Cloud API Gateway service for rate limiting, splitting, and authentication.

If you’ve worked with load testing before, you know that there are a lot of things to consider. Whether or not you should combine load testing and mocks is one of those considerations. Getting to the answer requires knowledge of your infrastructure and your development procedures, which will all influence what questions you need to ask yourself.