Systems | Development | Analytics | API | Testing

Imagine building a system where you want to validate if the logic implemented would fit in when the entire system is built, but for that, you would have to build the entire architecture (well, a lot of resources are spent). Now imagine a way where you can simulate the versions of real objects or components. This is where Data Mock comes into play!

In the world of software development, testing and debugging are two of the key components. These two key components are dedicated to different purposes. Before you prioritize between these two and know more about testing vs. debugging, you must have an in-depth knowledge of testing individually. Testing and debugging are essential for software development projects. This write-up will break down these two components, and you will receive insight into the comparisons and the factors related to them.

It sounds funny to know, but YAML stands for "YAML Ain’t Markup Language." Well, contrary to its unserious nomenclature, it’s considered a pretty widely used data serialization format known for good human readability and scalability. The theory becomes funnier when we realize that YML is simply a brief alternative to YAML, which has been done for some practical purposes.

NYC, often referred to as Istanbul’s command-line interface (CLI), is a powerful code coverage tool designed specifically for JavaScript testing. It works seamlessly with testing frameworks like Mocha, Jest, and Ava, making it an invaluable resource for developers looking to measure and improve the coverage of their tests. NYC not only tracks how much of your code is covered by your existing test suite but also provides detailed reports that help identify untested parts of your codebase.

Tracing TLS (Transport Layer Security) traffic is crucial for modern observability systems. It helps monitor encrypted communication, diagnose issues, and optimize application performance. However, traditional methods like TLS proxying and packet capturing often come with significant performance overheads and security risks. They are not always the ideal solution, particularly for high-performance or security-sensitive environments.

Chaos testing, also known as chaos engineering, is one of the most-used methodology to test the resilience and reliability of systems by intentionally introducing controlled failures. Simply put, the goal is to identify weaknesses and improve a system’s ability to handle unexpected scenarios. Originating from Netflix’s famous Chaos Monkey tool, chaos testing has become a key practice in building robust distributed systems.

Software Testing is the most important step in the software development process. This process helps in validating and verifying that a software application is Bug-free, and the software is improved in terms of efficiency, accuracy and usability. Black Box Testing and White Box Testing are two most useful testing techniques for Software Testing. In this blog, we will be covering more about their definitions, advantages, disadvantages, their types, limitations and tools used for testing.

Let’s talk about stubbing and verifying – two critical tools that transformed how I approach testing. Early in my career, testing was often frustrating, slow, and full of surprises, most of them bad. I used to think testing meant running my app against real systems and crossing my fingers that everything worked. Spoiler: it rarely did. Here’s the thing: testing doesn’t have to be painful.

Network security professionals and observability applications have been trying to trace data in secure TLS connections since a very long time now. TLS( Transport Layer Security) is an encryption protocol that is used by servers are clients for encrypting the data that they share over a connection. Specifically, it uses symmetric encryption which creates a single shared key that both the server and the client use for encrypting and decrypting the data.

The "Cannot use import statement outside a module" error can be quite confusing, especially for those working with JavaScript or Node.js. This error is generally raised in a context that doesn’t recognize ES6 modules when the import statement is referred to. Therefore, discover the cause and solve it.