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Saved-objects in Kibana have evolved over the years to take on more and more responsibilities. Saved-objects started as a method of allowing Dashboard, Visualizations and Saved Searches to be persisted in Elasticsearch and have evolved to support much more advanced use-cases like Alerting, Fleet and ML. The advanced use-cases are currently hard to model using saved-objects, and generally lead to purpose-built APIs and Clients which make these entities "saved-objects" but also "not saved-objects".'
The following is a list of functionality that saved-objects in their entirety provide:
Summary
Saved-objects in Kibana have evolved over the years to take on more and more responsibilities. Saved-objects started as a method of allowing Dashboard, Visualizations and Saved Searches to be persisted in Elasticsearch and have evolved to support much more advanced use-cases like Alerting, Fleet and ML. The advanced use-cases are currently hard to model using saved-objects, and generally lead to purpose-built APIs and Clients which make these entities "saved-objects" but also "not saved-objects".'
The following is a list of functionality that saved-objects in their entirety provide:
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