Systems | Development | Analytics | API | Testing

How to design & test APIs with OpenAPI & Swagger | What's changed in 3.1 & 3.2

Outdated API docs and last-minute bugs cost teams time and trust. Learn how the OpenAPI Specification help you document, govern, and test your APIs from design to deployment – all inside SmartBear Swagger. SmartBear's Yousaf Nabi, Developer Advocate, and Chris Armstrong, Manager of Developer Relations, explain why API documentation drifts out of sync and walk through what's changed between OpenAPI 3.0, 3.1, and 3.2. After covering a brief history of Swagger and the OpenAPI specification, they demo the full API workflow across Swagger.

Cloudera Agent Studio & Iceberg MCP to Monitor Table Health

In this video, Cloudera’s Dipankar demonstrates how to build an AI agent in Cloudera Agent Studio powered by an open-source Apache Iceberg MCP Server. As a real-world use case, the agent monitors Apache Iceberg table health by analyzing metadata for issues such as small files, partition skew, snapshot history, and other operational signals. Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.

NeoLoad 2026.2: Enable scaled performance validation across teams

Performance engineering teams are already stretched. AI-accelerated development means more code, more releases, and more pressure on the people responsible for making sure it all holds up. Tricentis NeoLoad 2026.2 is built around a straightforward premise: performance validation must scale to match the pace of delivery, and that means more than just making specialists faster.

How Enterprise Teams Are Validating AI-Generated Code at Scale | Perforce 2026

Your testing strategy was built for a world before AI wrote code. That world is gone. AI is now generating code, reviewing pull requests, writing tests, and analyzing defects, faster than any team can validate it manually. In this session, Perforce CTO leaders Anjali Arora and Rod Cope sit down with VP of Product Steven Feloney to break down why traditional test automation can't keep pace, and what comes next.

Java debugging: how to debug Java code in IntelliJ, Eclipse, and jdb

An effective Java debugging strategy lets us pause execution, inspect data, and observe real execution rather than relying on vague assumptions. The complexity of the Java Virtual Machine creates unique challenges, but a focused approach will turn this complexity to our advantage. This guide will equip you with the tools to do this, looking at: By the end, you’ll have a practical workflow to debug Java reliably across local and remote environments.

Product Threat Intelligence Providers 2026 Listed

Product threat intelligence tells payment device manufacturers and payment service providers (PSP) about the vulnerabilities and attack techniques that threaten the products they build or rely on to process payments. In 2026, the kind of specialist product threat intelligence provided by firms like PCA Cyber Security is getting much more critical for compliance and cyber resilience.