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Description

Modern applications increasingly rely on stateful distributed systems for databases, messaging, and real-time processing. But managing state in a distributed environment is complex—how do you handle data consistency, scaling, and fault tolerance effectively?

In this episode, we discuss:

✅ The difference between stateless and stateful architectures

✅ How to scale and manage stateful workloads effectively

✅ Best practices for data consistency, replication, and failover

✅Running stateful applications on Kubernetes