· It ensure that all nodes in a distributed system have access to the most up-to-date information. · Without consistency, distributed systems risk producing inaccurate or conflicting results.
· Enter Strong Consistency! In this protocol, every read operation returns the most recent write operation's value. · Imagine a banking system where withdrawing money from an account must reflect immediately across all branches.
· Explore Eventual Consistency! Unlike strong consistency, eventual consistency allows for temporary inconsistencies between nodes. · Think of a social media platform where posts may take time to propagate across servers
Delve into Consensus Protocols! Systems like Paxos and Raft enable distributed nodes to reach agreement on shared states despite failures or network partitions.