CQRS (Command Query Responsibility Segregation)
Design a CQRS-based backend that scales read and write workloads independently using a transactional command model and asynchronously updated read models. Covers event/CDC pipelines, projection correctness, caching, and consistency trade-offs at high scale.
ACID Properties
Atomicity, Consistency, Isolation, and Durability in databases
CAP Theorem
Understanding the fundamental trade-offs in distributed systems design and implementation
Conflict Resolution Strategies
Techniques for handling concurrent writes and conflicts in distributed systems
Dynamo
Amazon's distributed key-value storage system designed for high availability and eventual consistency.
Isolation Levels
Read uncommitted, committed, repeatable read, and serializable isolation levels
Multi-Leader Replication
Multiple writable nodes with conflict resolution strategies
PACELC Theorem
Extension of CAP theorem describing trade-offs in distributed systems during both network partitions and normal operation
Quorum Systems
Understanding quorum-based consensus mechanisms for ensuring consistency and availability in distributed systems
Secondary Index Partitioning
Global vs local secondary indexes in distributed systems
Serializability
Ensuring transaction outcomes are equivalent to serial execution
Single-Leader Replication
Master-slave replication with one writable leader