![]() ![]() This is especially true when you have many data pipelines and advanced filtering. However, due to its high workload, it shows low figures in performance tests (see ref.1 below) compared to other, more lightweight options.Īs noted in the blog post by Logz.io, one of the reasons for low performance is that Logstash requires JVM to run, this dependency causes significant memory consumption. It is used to collect, parse, and ship your logs. ![]() ![]() If you know about Logstash, feel free to scroll lower for other options.Īs commonly known, Logstash is part of the famous ELK stack and acts as a workhorse in it. Let’s start with the king of log collectors. If you are looking for open-source alternatives and to choose what’s best for you - this guide is here to help you.įor each log shipper, I also took some of the core criteria, like number of plugins and configuration difficulty, and you can find the full comparison table at the end of this blog post. However, it might not be the right choice for everyone. For those of you who don’t know it yet, Logstash is highly popular among DevOps for the possibility of ingesting data from different sources, dynamic data transformation, and much more. Many of these can be considered as “Logstash alternatives” in different ways. This is a list of the top 5 open-source log shippers to fit your needs. ![]()
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