Improving Filebeat memory allocation
Blog post from Elastic
During a recent team offsite, the Engineering team focused on improving Filebeat's performance by analyzing memory allocation using pprof profiles, particularly during specific logging scenarios. The investigation centered on the event hot-path to identify memory inefficiencies, which revealed that a significant amount of memory was allocated during event processing, specifically due to the logp.newLogger function that instantiated a new logger for each log event, consuming 9.2GB of memory. By removing the unnecessary logger, the team successfully reduced memory usage from 109GB to 99GB for their benchmark, demonstrating a notable optimization. This improvement is part of ongoing efforts by Elastic's Platform Ingest team to enhance performance, with more updates expected in the future.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.