Which JMS tuning setting helps achieve higher throughput?

• A. Disable caching
• B. Configure numberOfConsumers on JMS listener for high throughput
• C. Disable JMS message persistent
• D. Configure ACK mode to meet SLA

Answer: (B)

Increasing throughput in a JMS setup comes from processing more messages in parallel. By configuring the JMS listener to have a higher number of concurrent consumers, you enable multiple threads to pull and process messages from the destination at the same time. This parallelism directly boosts the rate at which messages are handled, making the system capable of handling larger loads without waiting for a single thread to finish before starting the next message.

This approach works well because each consumer runs independently, so while one thread might be waiting on I/O or doing lengthy processing, others keep the pipeline busy. Of course, there are tradeoffs: more consumers can affect message ordering across a destination and increase resource usage on both the JMS client and broker, so you should ensure your processing is able to handle potential reordering and keep an eye on overall resource limits.

Other options can influence performance in different ways but aren’t as direct a path to higher throughput. Disabling caching tends to reduce performance because resource reuse is limited. Disabling message persistence increases speed but sacrifices durability and reliability of delivery. Changing the acknowledgment mode can impact throughput by altering how often messages are acknowledged, but the gains are usually less predictable and depend on the specific delivery guarantees you need.