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Create and manage Kibana Index Patterns (Data Views) to link Elasticsearch indices, set a time field, add scripted fields, and verify in Discover. Follow a step‑by‑step guide with API and UI instructions.
Runtime fields let you reshape Elasticsearch data at query time in Kibana, but they trade indexing cost for query latency and CPU. Here is how to decide when that trade-off is worth it.
Learn how to use Kibana Runtime Fields to transform data on-the-fly using Painless scripting, avoiding the need for costly re-indexing operations.
Learn how to implement Kibana Data Views to bridge the gap between Elasticsearch indices and visualizations, including the use of wildcards and runtime fields.
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.
Learn how Kibana’s Data Views replace legacy index patterns, simplify dynamic index selection, and keep dashboards consistent across large Elasticsearch clusters. Includes a step‑by‑step example and trade‑off analysis.
Learn how to configure Kibana Data Views using wildcards and proper time-field mapping to ensure your time-series dashboards remain performant and accurate.
kibana
elasticsearch