![]() Note that you can jump straight into delete phase after each phase by clicking the trash icon.Delete Phase: At this phase, you can delete data you no longer need.Cold Phase: Stores the data that you less often search and don’t need to update it.Warm Phase: Stores the data that you are still likely to search it, but infrequently need to update it.Hot Phase: Can be used to store Most recent and most frequently searched data.Enter the name of the policy, for example, demo in our example.Navigate to Kibana > Stack Management > Data > Index Lifecycle Policies > Create Policy.So, for the purposes of demonstration, let’s create a custom ILM policy to apply to our custom index. You can manage the ILM policies on Kibana under Stack Management > Data > Index Lifecycle Policies. This step is optional, but if you want to control the lifecycle tasks of your indices such as creation, deletion, rollover to new phases etc, ILM policies come in very handy. These are the steps to configure Filebeat 8 to write logs to specific index Create Index Lifecycle Management Policy In this case, you can then configure Filebeat 8 to write logs to specific index. Now, as already mentioned, If you frequently update or delete existing time series data, use an index alias with a write index instead of a data stream. You can also learn how to write data to custom data stream.Ĭonfigure Filebeat 8 to Write Logs to Specific Data Stream Configure Filebeat 8 to Write Logs to Specific Index Or login to Kibana, Management > DevTools > Console and execute the command below GET _index_template/ filebeat-8.8.1 u elastic -cacert /etc/elasticsearch/certs/http_ca.crt Update it to match your ELK setup curl -k -XGET filebeat-8.8.1?pretty \ You can get the details about the index template using the command below. You can find index templates under Index Templates section. ![]() ![]() For example, filebeat-8.8.1 index is created by the index template named Filebeat-8.8.1. Index templates define how Elasticsearch has to configure an index when it is created. If you want to see Data stream indices, click Indices under Index Management and toggle the include hidden indices option.Īs already mentioned, data streams are created using index templates. To confirm, see under Stack Management > Data > Index Management > Data Streams Elasticsearch Data StreamsĬonsider the Filebeat we installed on Debian 12 in our previous guide īy default, unless configured otherwise, Filebeat will write any event data collected to the default data stream, filebeat-X.X.X, on Elasticsearch. If you frequently update or delete existing time series data, use an index alias with a write index instead of a data stream. If needed, you can update or delete documents by submitting requests directly to the document’s backing index. Instead, use the update by query and delete by query APIs. You cannot send update or deletion requests for existing documents directly to a data stream. Data stream backing indices are usually hidden by default.ĭata streams are designed for use cases where existing data is rarely, if ever, updated. They are used to store append-only time series data across multiple backing indices. Data stream is a logical groupings of indices, that are created using index templates. So, how can you configure Filebeat 8 to write logs to specific index? Default Filebeat Data Streamsīy default, Filebeat 8 uses a new feature on Elasticsearch 8 called data streams. Other Tutorials Configure Filebeat 8 to Write Logs to Specific Index.Create Index Lifecycle Management Policy.Configure Filebeat 8 to Write Logs to Specific Index.
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