Microservices architectures promise speed and flexibility - until scale introduces new challenges. Databases become bottlenecks. Cache invalidation grows fragile. Latency compounds with every service call. Distributed state becomes harder to manage as systems evolve.

In this live webinar, we’ll explore the real-world problems that surface when microservices move from design to production. We’ll examine practical patterns for managing state, reducing latency, handling event streams, and keeping distributed systems performant - without increasing architectural complexity. Because solving distributed state at scale requires more than basic caching.

You’ll see how developers and architects can apply these approaches using Java native tooling such as Hazelcast to simplify data access, stream processing, and coordination across microservices, with concrete examples and live demonstrations drawn from production-style environments.

What You’ll Learn:

• Why does state management and latency become issues as microservices scale
• Common performance bottlenecks in event driven architectures and distributed systems
• Practical patterns for handling distributed state and data access
• How modern distributed tooling can reduce complexity without sacrificing performance, data consistency, and resiliency

Register to learn how to solve state and latency challenges in microservices - without adding more complexity to your architecture.

Can’t attend live? Register anyway - we’ll share the recording with everyone who signs up.