Systems | Development | Analytics | API | Testing

The 3 pillars of observability are breaking. For years, dev teams relied on Logs, Metrics, and Traces to know when something went wrong. But now? AI agents are writing, deploying, and changing code in real-time. When an AI hallucination pushes a bug to production, standard monitoring sees nothing wrong.To survive the AI era, we need a 4th Pillar of Observability. Watch to find out what it is and why the old way of monitoring just became obsolete.

Can AI actually save lives? In this video, see how Cloudera and Mercy Corps have partnered to put people—not just technology—at the heart of humanitarian aid. Through a two-and-a-half-year collaboration, we’ve worked side-by-side with analysts to map real-world workflows and co-create AI solutions that solve their most pressing daily challenges.

Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.

OCBC migrated thousands of microservices, batch jobs, and monolithic applications across multiple regions in just six hours with zero data loss. George Goh shares how six months of planning enabled flawless execution.