What are the common mistakes in CQRS?
An example of an AI chatbot conversation about common mistakes in CQRS.
What are the common mistakes in CQRS?
Some common mistakes in CQRS include not separating read and write models properly, overcomplicating the architecture, and neglecting eventual consistency.
Can you explain why separating read and write models is important?
Separating read and write models allows for optimized performance and scalability, as each can be tailored to specific needs.
What is eventual consistency and why should I care?
Eventual consistency is a model where updates to a system will propagate and become consistent over time, which is crucial for distributed systems.
How can I avoid overcomplicating my CQRS implementation?
To avoid overcomplication, start with a simple design, focus on your core requirements, and iterate as needed.
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