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Conceptual principles and patterns for managing application state across components, clients and servers.
State management describes concepts and patterns for handling application state across components, clients and servers. It covers local and global state, consistency models, persistence and synchronization. Well-designed state architectures reduce bugs, improve testability and scaling, but require clear boundaries and coordination mechanisms.
Time between state write and visibility to consumers.
Share of operations failing or requiring manual conflict resolution.
Operational effort and costs for storing, replicating and archiving state.
Centralized store architecture to consolidate UI and application state.
Events as the single source of truth, separated read and write models.
Distributed session data in a fast in-memory store for scaling and failover.
Analyze application domains and identify state boundaries
Choose an appropriate state model (local, global, event-sourced)
Define APIs, events and persistence strategies
Implement incrementally with tests and observability
Verify operational readiness: failover, backups, metrics and SLOs