Systems | Development | Analytics | API | Testing

We are introducing a new approach for building, deploying, and managing AI applications. This approach features a visual, drag-and-drop model for building AI apps and supports deep integration with enterprise data and application infrastructure.

DreamFactory simplifies API management with powerful logging tools that boost security, track performance, and ensure compliance. Here's what you need to know: With DreamFactory, you can set up production-ready APIs with detailed logging in just 5 minutes, saving time and costs while maintaining robust security and performance.

Efficient management and updating of configuration files is essential in modern software settings, particularly when these files are stored on cloud storage services such as AWS S3. There are a number of issues associated with this process, such as maintaining data integrity, reducing downtime, and maximizing network and storage use.

Federal civilian agencies have a long history with Oracle. For decades, Oracle databases and enterprise applications have been the backbone of government operations, powering financial systems, human resources, case management, and public safety platforms. Oracle is even more intricately woven into the U.S. Department of Defense, with systems supporting logistics, intelligence data, and enterprise resource planning across military branches. But change is here.

Test case prioritization helps you rank test cases based on importance. It ensures you test the most critical features first. This approach saves time, improves software quality, and helps you catch high-risk defects early. Putu Kusumawardhani , Director, Client Impact,

Three years ago, I discovered Playwright Trace Viewer while helping our team debug a complex audio processing application. What started as curiosity became a game-changer that now saves us hours every week. We had this complex flow where users could upload audio files, apply effects, and export them. Screenshots were our go-to debugging tool, until they weren't. One day, a test kept failing in CI. The screenshot showed everything looked perfect.

Software quality today is not the responsibility of just one team-it’s a shared mission across development, QA, product, and operations. As systems grow more complex and software delivery cycles shrink, test automation has moved from being a luxury to an operational necessity. But adopting automation tools isn’t enough.

By 2025, one in four enterprises using Gen AI will have AI agents in place, and that number will double by 2027. As organizations race to integrate these intelligent technologies, the spotlight is on agentic automation, a transformative approach reshaping how businesses operate. Right now, enterprises are at a key turning point.

Organizations are moving beyond simple automation towards a future where systems are intelligent enough to tackle complex tasks with minimal human intervention. Agentic workflows are the driving force behind this shift. According to Gartner, a staggering 33% of enterprise software applications are projected to integrate agentic AI by 2028, enabling them to autonomously make decisions for as much as 15% of routine work.

With data streaming, public sector organizations can better leverage real-time data and modernize applications. Ultimately, that means improving the reliability of services that agencies and citizens depend on, enhancing operational efficiency (therefore cutting costs), and delivering critical insights the moment they’re needed.