See configure elasticsearch index template loading for more information. In the above example, there are several setup.template settings which will ensure that the default filebeat templates are loaded correctly into the cluster if they do not already exist. "value": "my_custom_pipeline failed to execute set - "
#Stop filebeats send old data to log stash code#
"description": "Put your custom ingest pipeline code here", This is likely undesirable, and may be enhanced by including on_failure error handling into the pipeline code as shown below: PUT _ingest/pipeline/my_custom_pipeline If the ingest pipeline has a failure in it, then the document that triggered the failure is rejected. As we will see in the next section, this can selectively be applied to data from different sources depending on the destination index name. } Step 4 – (Optional) Define a custom ingest pipelineīelow is an example of a very simple ingest pipeline that we can use to modify documents that are ingested into Elasticsearch. For example, the following template can be used to ensure that the source1 data rolls over correctly: PUT _template/filebeat-7.10.2-source1-ilm This can be done by creating a high-order template (that overwrites the lower-order templates) so that each unique data type will have a unique rollover alias. In order for ILM to automate rolling over of indices, we define the rollover alias that will be used. Step 3 – Ensure that ILM will use the correct rollover alias In the next section, I assume that you have created a policy called “filebeat-policy”. You should define the index lifecycle management policy ( see this link for instructions).Ī single policy can be used by multiple indices, or you can define a new policy for each index. In the above alias, by naming the index filebeat-7.10.2-source1, which includes the version number after the word filebeat, we ensure that the default template that is pushed into the cluster by filebeat will be applied to the index. You would want to do the same for other data sources (eg. We can create an alias that will work with the Filebeat configuration that we give later in this blog, as follows: PUT filebeat-7.10.2-source1-000001 Step 1 – Create alias(es)Įach destination “index” that we will specify in Filebeat will actually be an alias so that index lifecycle management (ILM) will work correctly.
For many customers, the default behaviour of driving all filebeat data into a single destination pattern is acceptable and does not require the custom configuration that we outline below. Keep in mind that splitting the filebeat data into different destinations adds complexity to the deployment. As these may have different access/security requirements and/or different retention requirements it may be useful to drive data from different sources into different filebeat indices.
You may have several different types of data that may be collected by filebeat, such as “source1”, “source2”, etc.
Driving different data types into different destinations
#Stop filebeats send old data to log stash how to#
If you are interested in using the newer composable templates and data streams to control your Filebeat data, see the blog How to manage Elasticsearch data across multiple indices with Filebeat, ILM, and data streams. In this post, we’ll use Filebeat to send data from separate sources into multiple indices, and then we’ll use index lifecycle management (ILM), legacy index templates, and a custom ingest pipeline to further control that data. This may not always be desirable since data from different sources may have different access requirements, different retention policies, or different ingest processing requirements. When driving data into Elasticsearch from Filebeat, the default behaviour is for all data to be sent into the same destination index regardless of the source of the data.
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