What are the common latency issues with Kafka Streams API?
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What are the common latency issues with Kafka Streams API?
Common latency issues with Kafka Streams API include network delays, inefficient processing logic, and resource contention.
How can I optimize the performance to reduce latency?
You can optimize performance by tuning the configuration settings, using state stores efficiently, and minimizing data serialization overhead.
What tools can I use to monitor latency in Kafka Streams?
You can use tools like Kafka's built-in metrics, JMX, and third-party monitoring solutions like Prometheus and Grafana.
Are there any best practices for handling high throughput?
Yes, best practices include partitioning your data effectively, using asynchronous processing, and scaling your application horizontally.
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