Question 1

How to tune Fluency buffer settings for high throughput logging?

Accepted Answer

Increase initial chunk buffer size and retention size, as shown in the README's high latency examples. Adjust flush intervals and max buffer size based on your data volume to balance performance and memory usage.

Question 2

Fluency vs fluent-logger-java: which should I use?

Accepted Answer

Fluency is better for high-performance, reliable logging with features like failover and backup, but it requires more configuration. fluent-logger-java is simpler for basic use cases but lacks Fluency's advanced optimizations.

Question 3

How to handle buffer full exceptions in Java with Fluency?

Accepted Answer

Catch BufferFullException and either log and ignore or retry with delays, as detailed in the README. Ensure max buffer size is set appropriately and monitor allocated buffer size to prevent issues.

Question 4

Does Fluency support logging directly to Elasticsearch?

Accepted Answer

No, Fluency primarily supports Fluentd, AWS S3, and Treasure Data. For Elasticsearch, you'd need to use Fluentd as an intermediary or consider a different library like Logstash or direct Elasticsearch clients.

Question 5

How to set up TLS/SSL encryption with Fluency for Fluentd?

Accepted Answer

Enable SSL in the FluencyBuilderForFluentd and configure truststores using JVM properties like -Djavax.net.ssl.trustStore, as described in the README's SSL/TLS section for secure communication.

Question 6

What are the best practices for using Fluency in a microservices architecture?

Accepted Answer

Configure failover with multiple Fluentd instances for resilience, use local backup to prevent data loss, and tune buffer settings per service load. Ensure proper shutdown hooks to flush buffers on application termination.

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