Vector is a powerful, flexible Open Source tool for log collection. Here is how it works and how you can deploy it in Kubernetes, together with fascinating cases from our experience of years using it.
This tutorial helps you in setting up metrics collection based on the log file (of PostgreSQL in this specific case) and alerts based on these metrics.
An overview of useful Logstash and Elasticsearch features & configuration options to get a better experience for your ELK installations. A small Elasticsearch API cheat sheet is included.
How our approach to arrange data in Elasticsearch, manage its indexes and make backups has evolved due to real-life challenges.
Aggregating logs for applications hosted in Kubernetes: existing solutions (based on Fluentd, Elasticsearch, ClickHouse, etc.), their drawbacks, and challenges in general.
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