What are the common mistakes in Lambda architecture?

What are the common mistakes in Lambda architecture?

Some common mistakes include not properly handling data consistency, overcomplicating the architecture, and neglecting monitoring.

Can you explain how data consistency issues arise?

Data consistency issues often arise when the batch and speed layers are not synchronized, leading to outdated or conflicting data.

What can I do to avoid these mistakes?

To avoid these mistakes, ensure clear communication between layers, implement robust monitoring, and simplify your architecture where possible.

Are there best practices for implementing Lambda architecture?

Yes, best practices include defining clear data flow, using reliable messaging systems, and regularly reviewing your architecture for improvements.