Systems | Development | Analytics | API | Testing

Software testability measures how simple it is to test both the system as a whole and each individual component. In modern discussions about testing, the focus often shifts solely to the tests themselves, overlooking the socio-technical environment in which the application or project operates. Ensuring your application is testable means making it straightforward and reliable to test, so that when issues arise, we can be confident they are real issues and not artifacts of poor testability.

‍ ‍John McCarthy, an American computer scientist, stated this belief more than 40 years ago. Surely, his commitment to understanding the human mental process led him to ideate one of the most revolutionary ideas in computer science—artificial Intelligence (AI). Since then, AI has helped us develop software, utilize it to streamline our business offerings and maintain another essential aspect of digital ecosystems—quality assurance.

Rails partials have been around for years, but they can be clunky since they're just ERB snippets without a backing object structure. Recently, libraries like ViewComponent and Phlex have tried to improve the view layer by adding more semantic structure to the templates. These are great libraries and I personally reach for ViewComponent on almost every project I work on. That said, I still feel the humble Rails partial still works great for many use cases.

When it comes to making HTTP requests in Node.js, developers are spoiled for choice: from the built-in and browser-familiar Fetch API to third-party libraries like Axios, Got, Superagent, Ky, and others. Navigating this diverse landscape can be a little daunting. This comprehensive guide aims to simplify your decision-making process by comparing the features and nuances of popular options, so you can select the ideal solution for your next project.

Understanding and monitoring the performance and health of applications and systems is critical. This is where observability comes into play. Observability is about gaining a comprehensive understanding of a system's internal state by analyzing the data it generates within the context of real-time events and actions across the infrastructure.

The main fundamental question of every business today: Are you on the right side of AI? Many businesses and investors are facing the big question: will they get AI-fied and die slowly or will they be propelled by AI and grow faster? Kong API tools and the Konnect API platform will bring our customers on to the right side of AI. Every platform shift from mainframes onward has created demand for more APIs.

We're excited to announce the release of Kong Gateway 3.8, a significant update that marks a major milestone in the evolution of our API management platform. This release is packed with enhancements designed to boost performance, fortify security, and provide greater flexibility and ease of use for our customers.

Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

The cloud-based GitLab CI/CD platform allows development teams to streamline their Continuous integration (CI) and Continuous Delivery (CD) pipelines and accelerate their Software Development Lifecycle (SDLC). Adding strict, compliance-based static analysis — as provided by Helix QAC — as new stages to existing GitLab CI/CD pipelines will enhance the SDLC still further, and move your DevOps workflows from Continuous Integration to Continuous Compliance.