Stateful workloads, which retain data consistency across interactions, face unique challenges that require careful management strategies like data replication, sharding, and employing eventual consistency models.
Concurrency issues emerge when multiple entities attempt to modify the same data concurrently, potentially leading to conflicts that impact overall system performance and user experience.
Advanced solutions such as Conflict-Free Replicated Data Types (CRDTs) are gaining traction as they enable concurrent updates without locking, thus improving scalability and reducing contention within stateful workloads.
Consensus protocols like Paxos and Raft are vital in distributed systems to maintain data consistency, allowing multiple nodes to reach an agreement, even amidst network partitions or failures.
Collection
[
|
...
]