Building Resilient Distributed Java Systems: From Failure to Recovery

In modern Java applications, distributed systems are everywhere, and so are failure modes. But how do you know when your cluster is fragile, or if it’s on the brink of breaking?

This talk dives into practical observability and resiliency techniques for distributed Java environments. We’ll highlight key patterns, failure signals, and metrics that matter, backed by a live demo using Hazelcast, Chaos-mesh, Prometheus, and Grafana.

You’ll learn:

• Core Patterns – Leader election, partitioning, replication
• Metrics That Matter – Backup count, member count, JVM health, Golden Signals
• Failure-Aware Design – Resilience patterns, chaos testing principles
• Live Demo – Deploy a working cluster, simulate node failure, and explore metrics to observe how data integrity holds as the system nears its fault tolerance threshold

Ideal for Java developers, architects, and SREs, this session blends theory, tools, and real-world failure scenarios to help you build distributed systems that stay online—even when things go wrong.

Presented By

Taylan Erden

SRE Manager

Hazelcast

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