When developers build applications, they need to think about how they will connect their products to data sources. Direct database access vs. REST APIs: which should you pick? Both currently stand out as two of the most popular options. Let’s explore the pros and cons of each so you can determine whether API-led connectivity serves your needs.

Imagine you're a postal worker sorting through a mountain of packages. Some packages are ticking suspiciously, while others are leaking mysterious liquids. As a responsible postal worker, you have two choices: deal with these problematic packages yourself (throw) or slap a big "HANDLE WITH CARE" sticker on them and pass them along to the next person in line (throws). Think of throw as actually creating an error in your program. You use it when something goes wrong and you want to stop the program.

DreamFactory specialises in REST API generation for any number of database types however an underrepresented benefit is the ability to mount and manage any third party API via a HTTP service connector. This gives you the ability to generate documentation and secure an existing API as if it were created natively within DreamFactory.

As software systems grow more complex, ensuring reliable performance and delivering a seamless user experience becomes increasingly challenging. Product teams need the ability to track and analyze system behavior in real-time, allowing them to address issues before they affect users. Product observability offers a proactive approach, enabling teams to gather data, monitor system health, and make informed decisions based on a complete view of both infrastructure and user interactions.

Coding assistants are quickly becoming essential tools in the software development process. By 2028, it’s expected that 75% of enterprise software engineers will rely on AI-powered coding assistants, a huge jump from less than 10% in early 2023, according to Gartner. The reason for this sharp increase is clear — AI coding assistants can boost developer productivity by up to 45%. This helps streamline tasks like code generation, review, and documentation, compared to traditional methods.

What exactly comes to your mind when we say ‘Digital Advancements’? What’s the first thing you think of when you hear the word? Is it cloud technology? Digital transformation? Gen-AI? Blockchain? Or everything that caters to Digital Transformation as a whole? We know that the last sentence is the one you’ll prefer. But has it ever come across your mind why digital transformation solutions are taking all the limelight from different industries?

As one of the most widely used libraries in the Python ecosystem, pandas helps developers analyze, load and transform data across data science, data engineering and machine learning. The flexibility and ease of use of the pandas API have driven rapid growth in popularity, with pandas being used by one in every five developers, according to the StackOverflow 2024 Developer Survey.

In Japan’s FANUC robotics factory, rows of automated machines efficiently carry out repetitive tasks that humans once performed. Remarkably, the factory can run autonomously for up to 30 days without human supervision. Hirotec Manufacturing eliminated manual inspection time to 100% by integrating cloud technologies, IoT, and small servers on the factory floor. The Siemens plant in Germany offers online monitoring capabilities for machine tools distributed worldwide.

Efficient and comprehensive testing is crucial in software development, and automated tests play a key role in ensuring product quality. Tools like Selenium Grid are designed to enhance testing efficiency by running tests across multiple browsers and operating systems simultaneously, reducing testing time from hours to minutes.