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.

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.

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.

‍ ‍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.

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.

Azure Blob Storage is an object storage service that is very similar to AWS S3. ActiveStorage from Rails has built-in support for both ActiveStorage and S3 for file storage, making it easy to integrate and even swap out providers. The Honeybadger Blog has already explored using S3 for file storage in Rails, and in this article, we'll explore using Azure to allow users to upload files in a Rails application. You can find the final code here on Github.

Imagine you are developing a streaming application that consumes data from a topic that has a defined schema. You are finally ready to test the application and realize you need a way to produce a sample schematized message. What do you do?

The financial services industry is in the midst of a significant transformation. As customers demand more seamless, agile, and innovative services, banks and financial institutions must evolve to meet these new expectations. But digital transformation is not just about implementing the latest technology—it’s a comprehensive, multi-dimensional shift that impacts everything from operations to customer experience.

Imagine a world where your software tests run themselves, freeing you from the tedious grind of repetitive tasks, and catching bugs long before they wreak havoc on your code. This is the magic of automated software testing. Deadlines to ship software are tighter than ever. Users expect flawless experiences, and relying solely on manual testing just doesn’t cut it anymore.

Here's a table comparing the two approaches for you to consider.