k8s-study / logging

Logging in Kubernetes

Logging in Kubernetes

Document to describe how to centrally gather the microservices's log data in k8s-study's Kubernetes cluster.

This is a highly opinionated logging method for Kubernetes cluster.

This method has the following logging pipeline:

• Filebeat
• Logstash
• Elasticsaerch
• Kibana

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Getting Started

To be updated.

$ git clone https://github.com/k8s-study/logging
$ cd logging

Tech Stack

• Filebeat - Easily ship log file data to Logstash and Elasticsearch to centralize your logs.
• Logstash - The central dataflow engine in the Elastic Stack for gathering, enriching, and unifying all of your data regardless of format or schema.
• Elasticsearch - A search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
• Kibana - An analytics and visualization platform designed to work with Elasticsearch.

References

Logging in Docker

• Kubernetes: Logging Architecture
• Logmatic: Docker Logging Guide

ELK Stack

• AWS ELK Best Practices
• Elasticsearch: The definitive guide
• Logstash: Do you grok grok?

Contributing

This project follows the Contributor Covenant Code of Conduct.

Bug Reports & Feature Requests

Please use the issue tracker to report any bugs or ask feature requests.

License

Provided under the terms of the MIT License.

Copyright © 2018, Byungjin Park.