Systems | Development | Analytics | API | Testing

In this demonstration, Perforce Delphix expert Jatinder Luthra gives an insightful overview of using the Delphix MCP Server. After highlighting data operations’ latest challenges and MCP basics, Luthra takes you on a demo journey following a QA Lead, Sarah, featuring example scenarios and use cases. Find out how you can use the Delphix MCP Server prompts to bolster your organization’s testing, troubleshooting, and cross-team collaboration — watch the demo now.

AI doesn’t run on prompts alone—it runs on context. Architecture, security, and governance shape how AI makes decisions. Better context leads to safer, smarter outcomes.

AI promises speed and automation — but most teams are still stuck jumping between disconnected tools across development, testing, and operations. In this video, we introduce the Model Context Protocol (MCP) and how it enables AI assistants to securely access tools, systems, and real-time context across the software delivery lifecycle. MCP is the foundation of Perforce Intelligence, allowing AI to: The result: less friction, faster feedback, and AI that works with your existing systems — not around them.

Apache Kafka is mission-critical for many organizations—but where you deploy it matters just as much as how you use it. In this video, two OpenLogic experts discuss why they increasingly encourage customers to move their Kafka clusters to Kubernetes and utilize the Strimzi operator, and what that shift unlocks from an operational, scalability, and resilience standpoint.

Kafka is powerful—but common Kafka mistakes can quietly undermine performance, reliability, and scalability. In this video, two OpenLogic experts break down the most frequent Kafka anti-patterns they see in real customer environments—and how to avoid them. Based on hands-on experience fixing production Kafka clusters, this discussion covers: If you’re running Apache Kafka in production—or planning to—this video will help you spot Kafka mistakes early and apply proven best practices to build a more stable, scalable event streaming platform.