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Concepts and patterns for synchronizing data state across systems, services, and stores.
Sync strategies describe principles and patterns for aligning data state across systems, services, or stores. They compare approaches such as push vs. pull, real-time streaming (CDC), and periodic batch replication, including conflict resolution. The goal is reliable consistency, performant transfers, and reduced latency while informing architectural decisions.
Time between a change in the source system and visibility in the target.
Share of synchronizations that require conflict resolution.
Transferred data volume to measure bandwidth and storage needs.
Using Debezium to capture data changes from relational databases and enrich downstream systems in real time.
Client-side delta sync and conflict resolution when mobile devices reconnect.
Scheduled ETL jobs transfer aggregated data from production systems into a central warehouse.
Analyze synchronization requirements (latency, consistency, volume)
Choose strategy (push, pull, CDC, batch) based on requirements
Prototype with relevant technology (e.g., Debezium, Kafka, ETL)
Define monitoring, SLAs and recovery processes
Incremental rollout and validation in production