Systems | Development | Analytics | API | Testing

Modern innovation demands fast, secure, and flexible access to data. But when organizations deal with scattered databases and strict security policies, manual API development slows everything down. The solution? Automate how APIs are built, secured, and managed—using AI and open-source tools like DreamFactory.

Software is now shipped faster than ever and testing evolved beyond rigid scripts and predefined steps. One approach that has always embraced adaptability, critical thinking, and curiosity is exploratory testing: the process of learning, designing, and executing tests simultaneously — often uncovering issues that traditional testing might miss. As Artificial Intelligence (AI) becomes more embedded in the software development lifecycle, many wonder: will AI replace exploratory testing?

As enterprises scale their DevOps initiatives, DevOps bottlenecks are emerging from an unexpected source: inadequate test data management practices. But what can you do about it? In this blog, we will explore the common drawbacks in traditional test data management practices. Then, let’s dive into how real-life enterprises are overcoming DevOps bottlenecks with proven solutions that accelerate delivery and reduce operational risks.

Microsoft Excel is a powerful tool, and it’s useful for more than numbers. Many people use Excel to manage tasks in their everyday lives beyond financial calculations. Most Excel users aren’t aware of all the intricate tips and tricks that help you get the most out of Excel. There are so many functions and formulas to help you slice and dice numbers or give that data a new look, it’s impossible to recount them all.

Service level agreements (SLAs) are the contractual backbone between customers and technology vendors, outlining expected service availability, performance metrics, and remedies like service credits when service providers fail to meet agreed-upon service levels. This service agreement assures both the technical quality as well as the service quality of the services provided, and underpins the value perspective of the client.

Today, we're going to have a little history lesson for those of you who haven't been around since forever, but for those of you who have been around since forever, hopefully this will be a nostalgia fest. We can enjoy some good memories together. From FTP to Kamal, an oral history of deploying Rails apps. Watch the video for the full story!

APIs are the backbone of modern applications. They connect services, share data, and power almost every feature you see in a web or mobile app. As software becomes more complex, QA teams rely on web service testing tools to make sure APIs work as intended. These tools help you validate functionality, performance, and security while speeding up test creation and execution. With so many API testing tools available today, choosing the right one can feel overwhelming.

Automation testing is now the default for modern QA teams. Instead of spending hours manually clicking buttons, filling out forms, and triple-checking for bugs (only to miss one in production), testers can write a script once, and the machine takes over. It can mimic the user’s actions, flags issues, and gives teams back hours that they can use for more strategic tasks. When done right, automation testing is a game-changer.

How to make your enterprise data accessible, usable, and insightful.

Today, we're thrilled to announce the public preview of Light Sleep. Waking up from Scale-to-Zero is now imperceptible for CPU workloads with sub-200ms cold starts. A few months ago, we announced the first iteration of Scale-to-Zero on the platform to reduce idling costs. With Scale-to-Zero and Autoscaling, apps sleep and wake up automatically on demand based on requests, and scale out horizontally according to your criteria.