Free Webinar Series · 3 sessions
Master Event-Driven Architecture — From Concept to Scale
Jul 16, 2026 • Jul 30, 2026 • Aug 13, 2026 ()
Data moves fast. Your architecture needs to move faster.
This series gives you everything you need to design, build, and scale event-driven systems in the modern enterprise. Across three sessions, you'll go from first principles to production-grade patterns — learning why real-time event streaming is now a strategic imperative, how to apply the most powerful EDA patterns to your toughest integration challenges, and what it takes to keep distributed systems performing when complexity hits.
Whether you're architecting from scratch or untangling a system that's grown beyond its original design, you'll leave with a practical pattern library, a sharper vocabulary, and a clear blueprint for what comes next.
Agenda
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.
