Centralized Logging Patterns
Most organizations feel the need to centralize their logs — once you have more than a couple of servers or containers, SSH and tail will not serve you well any more. However, the common question or struggle is how to achieve that.
This talk presents multiple approaches and patterns with their advantages and disadvantages, so you can pick the one that fits your organization best:
Each pattern has its own demo with the open source Elastic Stack (previously called ELK Stack), so you can easily try out the different approaches in your environment. Though the general patterns are applicable with any centralized logging system.
|Main language||English Proposal|
|Type of presentation||Slides and code|
Philipp lives to demo interesting technology. Having worked as a web, infrastructure, and database engineer for more than ten years, Philipp is now working as a developer advocate at Elastic — the company behind the open source Elastic Stack consisting of Elasticsearch, Kibana, Beats, and Logstash. Based in Vienna, Austria, he is constantly traveling Europe and beyond to speak and discuss about open source software, search, databases, infrastructure, and security.