Systems | Development | Analytics | API | Testing

Low-code automation testing is changing the way teams build and maintain tests. With less scripting, intuitive visual tools, and reusable components, testers can work faster and collaborate better, no matter their coding background. It’s no longer just for QA engineers. With modular low-code components, visual test logic, and hybrid test creation, developers, testers, and business analysts can all contribute to quality. The process becomes faster, more inclusive, and easier to scale.

Software teams have to move quickly, deliver perfectly, and be able to adapt to changes right away in today’s fast-paced world. The bar is high: regular updates, few bugs, and no downtime. Are you trying to do all of this by hand? That’s a sure way to get burned out and stuck. That’s where automation tools for DevOps come in. These tools don’t want to take our jobs; they want to make us stronger.

This is the second post in our series exploring the architectural innovations that make Confluent Cloud more cost-effective at scale. Building on our previous post about the operational complexities of Apache Kafka and our cloud-native architecture's solutions, we'll now dive into how we solved a core challenge for any data streaming workload: high cloud networking costs.

AUSTIN, TEXAS, July 31, 2025 – Yellowfin, a leading global provider of business intelligence (BI) and analytics solutions, today announced the release of Yellowfin 9.16. This significant update introduces a suite of new AI-powered features designed to empower independent software vendors (ISVs) and enterprise organizations to democratize data access and insight generation for even their most non-technical users.

When we officially launched our Model Context Protocol (MCP) server integration on June 12, 2025, we weren't just adding another feature - we were fundamentally changing how data engineers interact with their tools. One month later, the transformation has exceeded our wildest expectations.