How Can I Improve Filebeat Performance?

Symptom

Filebeat is a high-performance file collection tool. By default, one core is allocated to Filebeat, and it writes 1 MB data to Elasticsearch per second. However, in practice, when a large number of service logs are generated, Filebeat cannot promptly collect and write them to Elasticsearch. In this case, you can optimize parameter settings in the filebeat.yml file to improve the Filebeat performance.

Procedure

1. Optimize the parameters involved in input of the filebeat.yml configuration file.

   Increase the value of harvester_buffer_size based on actual requirements. This parameter defines the buffer size used by every harvester.

   harvester_buffer_size: 40,960,000

   Increase the value of filebeat.spool_size based on actual requirements. This parameter defines the number of log records that can be uploaded by the spooler at a time.

   filebeat.spool_size: 250,000

   Adjust the value of filebeat.idle_timeout based on actual requirements. This parameter defines how often the spooler is flushed. After the idle_timeout is reached, the spooler is flushed regardless of whether the spool_size has been reached.

   filebeat.idle_timeout: 1s

2. Optimize the parameters involved in output.elasticsearch in the filebeat.yml configuration file.

   Set the value of worker to the number of Elasticsearch clusters based on actual requirements. This parameter indicates the number of Elasticsearch clusters. The default value is 1.

   worker: 1

   Increase the value of bulk_max_size based on actual requirements. This parameter defines the maximum number of events to bulk in a single Elasticsearch bulk API index request. The default is 50.

   bulk_max_size: 15,000

   Adjust the value of flush_interval based on the actual requirements. This parameter defines the number of seconds to wait for new events between two bulk API index requests. If bulk_max_size is reached before this interval expires, additional bulk index requests are made.

   flush_interval: 1s