Today, the demand for high-quality applications has never been greater. Agile methodologies, coupled with the rise of continuous integration and delivery (CI/CD), have significantly increased the frequency of software releases. Companies now deploy updates daily or even multiple times a day, placing immense pressure on QA teams to ensure reliability without slowing down the development pipeline.

APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance, even with an increased focus on authentication mechanisms and data security, it’s never been more critical to figure out the efficiency of your systems. Enter GraphQL and gRPC.

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.

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.

In a time where data is being termed the new oil, businesses need to have a data management system that suits their needs perfectly and positions them to be able to take full advantage of the benefits of being data-driven. Data is being generated at rapid rates and businesses need database systems that can scale up and scale down effortlessly without any extra computational cost.

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.