Explore various strategies for partitioning events in event-driven architectures to enhance scalability and resilience, including key-based, hash-based, and hybrid approaches.
Explore the intricacies of sharding in distributed systems, focusing on techniques, best practices, and real-world applications to enhance scalability and resilience in event-driven architectures.
Explore the principles and strategies for scaling CQRS systems, focusing on independent scalability, load balancing, data optimization, caching, and performance tuning.
Explore effective data partitioning strategies to enhance scalability and performance in microservices architectures, including partition key selection, range-based and hash-based partitioning, and handling data skew.