Systems | Development | Analytics | API | Testing

Migrating an entire bank's infrastructure without losing a single transaction sounds impossible. Yet, OCBC successfully modernized their event-driven architecture across Singapore, Malaysia, and Hong Kong with zero data loss. In this episode, George Goh (Executive Director at OCBC) joins Joseph Morais and Sami Amed (Staff Solutions Engineer at Confluent) to pull back the curtain on a massive data streaming migration, how the team executed a flawless migration of thousands of producers and consumers in a single weekend.

Enterprise Kafka DR Without Vendor Lock-In.

Use Real-Time Context Engine and Claude, or any MCP-compatible client, to explore operational data using natural language in real time. That includes everything from simple lookups to multi-step investigative questions like: Confluent’s Real-Time Context Engine gives AI agents live access to operational context as events happen across the business. Instead of relying on stale snapshots, agents can query and reason over continuously updated tables in real time.

Join Tun Shwe and Jeremy Frenay as they stream live from the floor of the Databricks Data + AI Summit! They’ll break down the biggest announcements, key takeaways, and cutting-edge trends shaping the intersection of AI and data streaming. Register to get an insider look at the future of data AI streaming.

Every enterprise has a data monster. And a way to take control. From AI to analytics, Confluent supercharges innovation across every organization with reusable, reliable, real-time data. So don’t let your data monster hold you back. Unlock value and unleash business impact with freeflowing, real-time data on The World’s Data Streaming Platform.

Most AI agents are generalists that struggle with the nuances of streaming data and Kafka infrastructure, often leading you down a rabbit hole with many tokens spent. In this session, live from Current London, we’ll show you how to close the context gap with Skills for Kafka: structured files that are playbooks and level-ups for agents to handle complex multi-step tasks like reviewing schema changes, critiquing DLQ policies and auditing topics for best practice. We will walk through how these skills work, demonstrate the different ways to use them (including with MCP servers) in Cursor and Claude.