Logstash consumes events that are received by the input plugins. Logstash was originally developed by Jordan Sissel to handle the streaming of a large amount of log data from multiple sources, and after Sissel joined the Elastic team (then called Elasticsearch), Logstash evolved from a standalone tool to an integral part of the ELK Stack (Elasticsearch, Logstash. Use the right-hand menu to navigate.) What you will. You are trying to make filebeat send logs to logstash. (This article is part of our ElasticSearch Guide. We will discuss use cases for when you would want to use Logstash in another post. But that common practice seems redundant here. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 csv filters. The csv filter of logstash doesn't have these. The file input plugin of logstash has the necessary parameters (sincedbpath and ignoreolder). It is strongly recommended to set this ID in your configuration. Hi, I'm trying to do the same as in this post: except a big difference: the solution in the post above is using only logstash, while my pipeline ships data using filebeat to logstash. This is the main difference, if your logs are on the same machine that you are running logstash, you can use the file input, if you need to collect logs from remote machines, you can use filebeat and send it to logstash if you want to make transformations on your data, or send directly to elasticsearch if you don't need to make transformations on your data.Īnother advantage of using filebeat, even on the logstash machine, is that if your logstash instance is down, you won't lose any logs, filebeat will resend the events, using the file input you can lose events in some cases. Note: you could also add ElasticSearch Logstash to this design, but putting that in between FileBeat and Logstash. If no ID is specified, Logstash will generate one. 1) To use logstash file input you need a logstash instance running on the machine from where you want to collect the logs, if the logs are on the same machine that you are already running logstash this is not a problem, but if the logs are on remote machines, a logstash instance is not always recommended because it needs more resources than filebeat.Ģ and 3) For collecting logs on remote machines filebeat is recommended since it needs less resources than a logstash instance, you would use the logstash output if you want to parse your logs, add or remove fields or make some enrichment on your data, if you don't need to do anything like that you can use the elasticsearch output and send the data directly to elasticsearch.
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