Systems | Development | Analytics | API | Testing

This post was originally published in June 2023 and has been updated for comprehensiveness. Steve Jobs famously remarked that the way to boost programmer productivity is to create apps with less code. The market has finally caught up with his vision.

Access control, also known as authorization, is a critical aspect of application security that ensures users can access only the resources they are permitted to use. And a failure in access control,- can lead to unauthorized data exposure, privilege escalation, or system compromise. Imagine, What if the keys to your house were lying in plain sight, allowing anyone to walk in? That’s exactly what broken access control feels like for hackers.

The world of business intelligence (BI) and analytics has evolved from descriptive to predictive, and now, to generative. Generative AI, a cutting-edge technology, is making its mark in embedded analytics solutions. These powerful AI analytics tools are assisting business users in analyzing their data sources more quickly and easily, generating new data sets for deeper insights, and helping make the embedded BI experience more accessible for more people.

APIs might not always be in the spotlight, but they’re the unsung heroes of just about every modern software project. APIs make it possible for different apps, services, and platforms to talk to each other seamlessly. When an API falters, so does the entire system. That’s where REST API testing comes in. It’s not just a box to check off—it’s the key to making sure your services are dependable, secure, and prepared to handle the unexpected.

Traditional system documentation methods fail to keep up with modern software complexity. Auto-documentation transforms engineering teams by saving time, improving accuracy, and enabling seamless collaboration.

If you are trying to find answers about Agile requirements gathering, this page may be one attempt of many. The truth is: doing requirements gathering the Agile way is not always straightforward. Why isn’t it simple? Mainly because: So where does that leave us? You’re probably not in a pure Agile environment, so you know the deal. The key is to get ideas for how to make this work, and apply what fits for your team.

Databases are the backbone of modern applications, enabling efficient storage and retrieval of data. But have you ever wondered why databases like PostgreSQL don’t simply use HTTP for communication? The answer lies in the specialized nature of database protocols. The PostgreSQL wire protocol is specifically designed to handle complex database tasks such as transactions, secure authentication, and efficient data transfer.

When building or maintaining software, one thing is certain: data is everywhere. Whether you’re running an e-commerce platform, a banking system, or a social media network, your application is handling, storing, and processing a ton of data. This is where Volume Testing comes into play. Think of it as testing your application’s ability to stay calm and composed when it’s hit with an ocean of data – thousands of records, large files, and long lists of entries.

Artificial intelligence (AI) is changing the software development landscape, particularly in the quality assurance (QA) domain. According to a market study, the AI market is projected to reach US$826.7 billion by 2030, driven by a CAGR of 28.46% and widely adopted across industries globally. Speed in today’s market cannot be overemphasized because the market demands faster and much better quality software.

Did you know 88% of users don’t return to sites with poor experiences, even if they offer excellent services and content? It’s time to recognize that a seamless user interface (UI) and user experience (UX) are essential to a product or company’s success, not mere luxuries. This is where Continuous UI Testing steps in. Ditching the conventional testing approaches, continuous UI testing integrates itself into almost every step of development & deployment.