What are the main challenges in Kappa architecture?
An example of an AI chatbot conversation about challenges in Kappa architecture.
What are the main challenges in Kappa architecture?
Kappa architecture simplifies data processing but faces challenges like data consistency, scalability, and real-time processing.
Can you elaborate on data consistency issues?
Sure! In Kappa architecture, ensuring data consistency across multiple streams can be difficult, especially during failures.
How does Kappa architecture compare to Lambda architecture?
Kappa architecture is more streamlined than Lambda, as it uses a single processing layer, but it may lack some features of Lambda.
What tools are commonly used in Kappa architecture?
Common tools include Apache Kafka for streaming, Apache Flink for processing, and various storage solutions like Cassandra.
Are there any best practices for implementing Kappa architecture?
Yes, best practices include using a robust messaging system, ensuring fault tolerance, and monitoring performance continuously.
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