In computing, Puppet is an open-source software configuration management tool. It runs on many Unix-like systems as well as on Microsoft Windows, and includes its own declarative language to describe system configuration. Puppet is produced by Puppet, founded by Luke Kanies in 2005. It is written in Ruby and released as free software under the GNU General Public License (GPL) until version 2.7.0 and the Apache License 2.0 after that. We offer a variety of training options to help you or your team get up and running with Puppet, or take your skills to the next level. Whether you attend one of our training courses classroom or explore a online interactive training option, you’re learning from real Puppet professionals who have been there and want to help you succeed. Agenda of the Puppet Training 1. The Basics Introduction To Configuration Management About The Author Why Puppet? How To Access Your Working Files 2. The Puppet Infrastructure Puppet Agents Puppet...
This is a great quick-read overview of Logstash — breaking down how it fits into the ELK stack and what it does in just a few minutes makes it much easier for beginners to grasp the concept. Understanding the basics of event collection, parsing, and forwarding is key for anyone working with logging and observability pipelines. Thanks for simplifying a powerful tool into a clear and approachable explanation!
ReplyDeleteThanks for this concise and clear walkthrough — I’ve often struggled to wrap my head around how Logstash fits into the ELK/Elastic Stack, but your explanation really made the core concepts click in a way that’s easy to understand. I appreciate how you broke down inputs, filters, and outputs with practical examples rather than just abstract definitions, because seeing how data flows through a simple pipeline helped me visualize what’s actually happening under the hood. The tone struck a nice balance between being beginner-friendly and technically meaningful, which makes this a great reference whether someone is just starting out or brushing up on fundamentals before building more complex pipelines. One suggestion for future posts might be a quick comparison of how Logstash, Beats, and Fluentd differ in similar workflows — that could help readers choose the right component for their use case. Overall, this feels like a really accessible and useful guide — thanks again for sharing!
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