Configuring Logstash

Mike Hillwig gets us started on Logstash:

Logstash is an incredibly powerful tool. If you can put data into a text file, Logstash can parse it. It works well with a lot of data, but I’m finding myself using it more to use it for event data. When I say event data, if it triggers a log event and it writes to a log, it’s an event. For the purposes of my demos, I’m using data from the Bureau of Transportation Statistics. They track flight performance data, which works perfectly for my uses. It’s a great example dataset without using anything related to my real job.

Logstash configuration files typically have three sections, INPUT, FILTER, and OUTPUT. However, FILTER is optional.

This is the first part in a series, so stay tuned.

Related Posts

Dropping Columns With Logstash

Mike Hillwig shows how to ignore columns with Logstash: Like I said earlier, we have some data that I know I’ll never use. This is flight performance data. The dataset contains diversion information. If a flight gets diverted more than once, it’s tracked here. I don’t care about that, so I’m dropping the diversion information […]

Read More

Using Kafka And Elasticsearch For IoT Data

Angelos Petheriotis talks about building an IoT structure which handles ten billion messages per day: We splitted the pipeline into 2 main units: The aggregator job and the persisting job. The aggregator has one and only one responsibility. To read from the input kafka topic, process the messages and finally emit them to a new […]

Read More


February 2018
« Jan Mar »