Systems | Development | Analytics | API | Testing

Even the smallest code changes can carry hidden risks. A minor bug fix may end up breaking a completely different part of the project. That’s where sanity testing comes in. It provides teams a quick, focused approach to ensure that recent changes didn’t introduce new problems. In this blog, we will outline what sanity testing is, when it is used, how it is accomplished, and why it is important when working in fast-moving development cycles.

Synthetic data pipelines are reshaping how AI models are trained. They generate artificial datasets that mimic real-world patterns, solving challenges like data scarcity, privacy concerns, and bias in training data. These automated systems streamline the entire process, from data creation to integration, offering faster and more scalable solutions compared to traditional methods.

If you’ve spent any time building cloud-native systems, you’ve probably tripped over the tricky beast that is gRPC streaming. It’s powerful, flexible, and feels like magic when it works. But the minute you need to test it? Suddenly, you’re in “hold my coffee, I need a week” territory. One of the most common places we see gRPC streams in the wild is when clients connect to asynchronous message buses like Google Pub/Sub.

APIs are the foundation of modern software ecosystems—connecting applications, services, and databases so information can flow securely and efficiently. But as systems become more complex and businesses demand faster innovation, traditional, manual approaches to API management no longer scale. That’s where AI-powered API gateways come in.

If you’ve ever tracked bugs across half a dozen tools, juggled spreadsheets, or tried to make sense of test results buried in an email thread, you’ve felt the pain of outdated test management. As software development speeds up with agile and CI/CD, the role of test management has changed. What used to be a support function is now central to delivering quality software fast. And if your test management approach hasn’t evolved, it’s holding you back.

Software teams know the drill: deliver faster without sacrificing quality. You’ve heard it before because you live it every day. Testing is often where that pressure hits a breaking point, but it doesn’t have to. At SmartBear, we help developers and testers like you seamlessly integrate automated testing into existing workflows and CI/CD pipelines. That’s why we’ve partnered with AWS CodePipeline to bring powerful, AI-driven test automation to your delivery process.

In today’s digital world, it is essential to be able to deliver high-quality software quickly. Test automation using special tools will automate repetitive test cases, which will give accuracy and speed up delivery. Test automation enables Dev Operationists by assuring continuous testing, which enables earlier bug finding and wider test coverage.

Today, we’re announcing that Kong has acquired OpenMeter, the open source and SaaS leader for real-time usage metering and billing. OpenMeter’s capabilities will be integrated into Kong Konnect, enabling usage-based pricing, entitlements, and invoicing for APIs, events, and AI workloads. This is a huge milestone for Kong, and we’re excited about what this means for our customers and the future of how you build and scale revenue-generating digital products for the agentic AI era.

Most of the times teams spend their time testing that features work correctly under normal conditions. But do you know what happens when the database goes down,the network goes slow or a third party service stops responding? In this case, resilience testing solves this problem by intentionally breaking parts of your system to see how it responds to it. Instead of only testing perfect scenarios, you find real-world failures like server crashes, network issues and service timeouts.