Ensuring that a growing codebase follows best practices and does not deviate from the standards is essential for any project. However, this can typically only be enforced manually by code reviews and other similar processes. As with any other manual task, this can be time-consuming, tedious, and error-prone. That's where architecture testing comes in. Architecture testing allows you to automatically enforce code standards such as naming conventions, method usage, directory structure, and more.

Cypress is a robust end-to-end testing framework built for web applications. It’s designed to make testing straightforward and reliable, allowing developers and QA engineers to test everything from simple interactions to complex user workflows. With Cypress, you can create tests that simulate user actions, verify front-end behaviors, and ensure UI functionality with minimal setup.

Choosing the right data integration tool can be tricky, with many options available today. If you’re not clear on what you need, you might end up making the wrong choice. That’s why it’s crucial to have essential details and information, such as what factors to consider and how to choose the best data integration tools, before making a decision. In this article, I have compiled a list of the top tools to help you choose the correct data integration tool that meets all your requirements.

API (application Programming interface) testing plays a crucial role in software testing. On one hand, it allows validation of the correct business logic and ensures that backend—or backstage—systems meet the specifications and the intended user experience.

Authorization is essential in APIs to ensure secure access to data and services. It validates that the client making a request has the correct permissions to access or manipulate data, providing an added layer of security in web services. Whether you’re managing user credentials, making requests to a cloud service, or handling sensitive data like payments, proper authorization ensures that only verified entities can access the API.

In the evolving landscape of software testing, Behavior-Driven Development (BDD) has emerged as a powerful methodology for improving collaboration between technical and non-technical team members. However, the implementation of BDD tools like Gherkin and Cucumber often falls short of their intended purpose. Let's explore how to effectively use these tools and avoid common pitfalls.

For a time, desktop applications were declared dead. They became too costly to develop and deploy compared to web apps, which allowed businesses to easily onboard new users, release updates instantly and introduce recurring pricing models rather than one-off purchases.

The rise of AI has transformed how businesses operate, creating a surge in demand for AI-driven APIs, particularly those that leverage Large Language Models (LLMs). These APIs are at the heart of many modern applications, driving automation, customer interaction, and sophisticated data analysis. However, with this increased use comes a need for organizations to effectively monitor and manage the costs and consumption of these APIs.

Understanding how your APIs handle and process data drives better decision-making. Different kinds of data flow through APIs and the services that consume them. But the actual information lives inside the HTTP request and response bodies. If you can effectively leverage that data with the contextual API metrics like status codes and routes, you can better understand how your customers consume your services.

Choreo is a powerful internal developer platform (IDP) as a service built for enterprises, offering a comprehensive suite of tools for CI/CD, API management, DevOps, observability, and business insights. It provides an all-in-one solution for building, deploying, governing, and monitoring enterprise applications—eliminating the need for developers to build complex CI/CD workflows or set up custom platforms.