Systems | Development | Analytics | API | Testing

As the adoption of real-time data processing accelerates, the ability to scale stream processing applications to handle high-volume traffic is paramount. Apache Kafka, the de facto standard for distributed event streaming, provides a powerful and scalable library in Kafka Streams for building such applications. Scaling a Kafka Streams application effectively involves a multi-faceted approach that encompasses architectural design, configuration tuning, and diligent monitoring.

Building distributed systems is a huge undertaking, but the complexity doesn’t end once your application or platform is “production ready.” Keeping these systems online and operational through cloud region outages, a network partition, or just scheduled maintenance is a constant challenge. The bottom line: you don’t want data pipelines for essential business services, customer-facing products, or enterprise data platforms to go dark.

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

With new AI capabilities, Spotter 3 blends structured and unstructured data, reasons like your best analyst, and turns every question into confident action.

Want to secure your OT systems and share data safely? NIST 800-82 and ISA-62443 are two key frameworks that help organizations manage operational technology (OT) security and data governance. Here's what you need to know.

BugSnag now supports applications built with the Vega Developer Tools from Amazon Devices & Services, giving developers immediate visibility into the stability of their TV-first apps. This launch is part of a deeper collaboration between SmartBear and Amazon, extending beyond tooling support into a broader partnership that accelerates software quality across the Amazon ecosystem.

Teams use different tools in their software testing life cycle. The problem? Each tool has its own way of communicating. The MCP (Model Context Protocol) Server is a new approach to integrating these tools. It’s like a universal translator, so your testing tools, scripts, and AI copilots can share context without endless plugins or one-off integrations.

Clicking links is one of the most basic things a user can do on a website. If you're writing test scripts, it’s also one of the most common actions you’ll need to automate. With Selenium WebDriver, you can interact with any hyperlink on the page, no matter if it's visible, hidden, dynamic, or opens in a new tab. All you need is the right locator and a clear understanding of how the browser responds.