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Filebeat's Harvester uses a persisted offset registry to resume tailing after restarts without duplicates. This post explains the mechanism, shows how to verify it with a minimal test, and covers the flush-interval trade-off and horizontal scaling caveats.
Filebeat's close_older and close_inactive settings bound file handle usage by closing stale or idle log files. This guide explains the difference, shows a production-ready configuration, and covers verification steps plus common pitfalls like incomplete tailing and truncation data loss.
Replace hand-managed daily indices in Beats by enabling setup.ilm. Learn the mechanism, a worked Filebeat config, verification steps, and common mistakes.
Learn how Elastic Beats autodiscover dynamically starts and stops log harvesters in Kubernetes based on pod labels, with a concrete Filebeat nginx example and practical limitations.
A practical diagnostic guide for Beats Connection Refused and publishing timeouts to Elasticsearch. Covers network checks, beats.yml validation, cluster health verification, and safe fixes with escalation criteria.
Learn how to diagnose and fix duplicate log ingestion in Filebeat by troubleshooting the registry state, offset tracking, and the close_inactive configuration.
Filebeat’s Autodiscover can silently drop new logs when templates fail to apply. This guide lists symptoms, a cause‑diagnostic matrix, ordered checks, fixes tied to findings, and escalation criteria to quickly restore log ingestion.
Learn when to use Filebeat with a persistent queue shipping directly to Elasticsearch versus adding a Logstash tier, including trust boundaries and failure modes.
Filebeat Autodiscover lets Beats automatically detect and ship logs from new containers, eliminating manual config. Learn how to set up Docker providers, write matching templates, test, and avoid common pitfalls.
beats
elasticsearch
logstash
docker