Kibana Lens: When Drag-and-Drop Beats Writing Queries by Hand
Kibana Lens turns most everyday chart-building into a drag-and-drop task. Here's how it works, a concrete error-rate example, and where it falls short.
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Kibana Lens turns most everyday chart-building into a drag-and-drop task. Here's how it works, a concrete error-rate example, and where it falls short.
Keep Elasticsearch reads fast and writes simple by using aliases and the rollover API. This guide walks through the minimal design, implementation steps, operational checks, and when to adjust the strategy.
Deep pagination with from/size in Elasticsearch hurts performance. Search‑After lets you page linearly by passing the last hit’s sort values as a cursor. Learn how to set it up, test it, and understand its limits.
Learn how to automate Elasticsearch index rollover and shrink for time‑series data using ILM, with a concrete configuration example and verification steps.
Learn how to identify why a Lens visualization shows blank or 'No data to display' and follow ordered checks to resolve index pattern, permission, or saved object issues.
A minimal ILM policy with rollover and hot/warm/cold tiers automates index lifecycle management. This note covers the smallest design that works, where data and trust boundaries sit, and what breaks it.
Runtime fields let you compute derived values in Kibana without reindexing. This blog walks through adding a status‑class field, testing its performance, and deciding when to promote it to a mapped field.
Enable the Filebeat Nginx module to automatically parse and ship Nginx access logs to Elasticsearch using the built‑in nginx-access-log ingest pipeline.
Elasticsearch ILM automates index rollover shrink and delete policies. This blog walks through a concrete configuration verification steps and trade-offs to balance cost performance and retention.