Free Webinar Series · 3 sessions
Master Event-Driven Architecture — From Concept to Scale
Design, build, and scale EDA systems that move as fast as your data — from first principles to production-grade patterns.
Who should attend
Built for engineers and architects who deal with data at scale
🏗️ Software & Solution Architects
Designing or rethinking integration layers, modernizing monoliths, or evaluating whether EDA fits your stack.
⚙️ Backend & Platform Engineers
Building or maintaining distributed systems and looking for practical patterns to tackle consumer lag, topic sprawl, and scaling failures.
📊 Data & Integration Engineers
Working with real-time pipelines, CDC, or multi-region replication and wanting a sharper architectural vocabulary.
What you'll learn
A practical pattern library you can apply immediately
✅️ Why request-response and batch pipelines can't keep up — and why streaming events is now a strategic imperative in the agentic AI era
✅️ How event-carried state transfer eliminates unnecessary round-trips and decouples services at scale
✅️ CQRS, fan-out, and choreography patterns illustrated with real enterprise architectures you can map to your own domain
✅️ How change data capture (CDC) unlocks real-time integration without re-architecting your database layer
✅️ Topic hierarchy design — a practical framework for structuring events so 50 teams can share a backbone without chaos
✅️ How to survive partition rebalancing, consumer lag cascades, and fan-out amplification as your system grows
✅️ When to use persistent vs. direct messaging, and why broker architecture matters once you cross regions and clouds
✅️ A clear blueprint for what comes next — whether you're starting fresh or untangling a system that's grown beyond its original design
Session Breakdown
The case for real-time
Thursday Jul 16 | 5pm to 6pm
Modern enterprises generate data faster than any pipeline built on request-response or nightly batch processing can consume it. To unlock the full value of your data in the agentic AI era, you need to act on it in real time — and that starts with streaming data as real-time events.
Patterns that solve real problems
Thursday Jul 30 | 5pm to 6pm
The largest challenges facing today's enterprises aren't just technical — they're architectural. In this session, we examine how common event-driven architecture patterns directly address the problems that slow organizations down at scale.
We cover five essential patterns — event-carried state transfer, command-query separation, fan-out, choreography, and change data capture — illustrated through real customer architectures. You'll walk away with a named pattern library you can map directly onto your own domain, plus a practical framework for topic hierarchy design.
Scaling without breaking
Thursday Aug 13 | 5pm to 6pm
Event-driven systems are elegantly simple at small scale and remarkably powerful at large scale — if you have a plan to harness their full potential.
In this session, we walk through the failure modes engineers actually encounter when scaling EDA: topic sprawl, partition rebalancing storms, consumer lag cascades, fan-out amplification, slow consumers blocking fast ones, multi-region replication lag, and the organizational entropy that sets in when fifty teams are publishing to a shared backbone.
More importantly, we cover the design choices that let you survive them — hierarchical topic design, dynamic routing, back-pressure, persistent versus direct messaging, and why broker architecture matters once you cross regions and clouds.
