Systems | Development | Analytics | API | Testing

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.

Discover how to efficiently mask SQL data at scale. Explore the best practices based on our extensive experience with large enterprises. Almost every enterprise has SQL databases, which means they need SQL data masking. Some SQL databases have built-in masking options, such as Microsoft SQL Server dynamic data masking. But is that the right approach? And what about all of your other databases and data sources?

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.