Systems | Development | Analytics | API | Testing

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.

When your application crashes during peak traffic or returns cryptic error messages to frustrated users, the culprit is often hiding in plain sight: untested APIs. According to recent industry data, APIs now account for 71% of all internet traffic, yet many businesses still treat API testing as an afterthought.

Fivetran is recognized as a Leader in Data Integration & Modeling in Snowflake’s Modern Marketing Data Stack 2026 report.

Imagine that you need to know the exact location of the train that you’re about to catch. Trains can be equipped with IoT sensors that can publish location coordinates via Kafka streams in real time. You will be using a mobile application to view a train’s location. Mobile applications and web applications are compatible with WebSocket, a web-friendly protocol, but the location data is received via a Kafka stream. How do we convert the real-time Kafka feed into a real-time WebSocket feed?