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CoursepremiumData & Storage
Replication & Consistency Models
Choose the right consistency level — strong, eventual, or causal — for each data type in your mesh-native app.
intermediate 3h$199
About this course
Replication spreads data across mesh nodes. Consistency models define the guarantees about when replicated data converges. This course covers strong, eventual, and causal consistency, and how to choose the right model for each data type in your app.
What you'll build
- Understand strong vs eventual vs causal consistency
- Choose consistency models per data type
- Implement read-repair and anti-entropy
- Handle network partitions during replication
- Measure replication lag
Prerequisites
- Data Modeling for Distributed Systems course
- Premium tier access