https://github.com/infra-helpers/induction-logging
Induction for logging
https://github.com/infra-helpers/induction-logging
application beats cloud development efk efk-elastic-search--fluentd--kibana elasticsearch elk elk-stack fluentd kibana log logging logstash software software-engineering tools
Last synced: 2 months ago
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Induction for logging
- Host: GitHub
- URL: https://github.com/infra-helpers/induction-logging
- Owner: infra-helpers
- Created: 2019-10-14T08:21:05.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-10-14T15:11:20.000Z (over 5 years ago)
- Last Synced: 2025-02-09T09:25:12.419Z (4 months ago)
- Topics: application, beats, cloud, development, efk, efk-elastic-search--fluentd--kibana, elasticsearch, elk, elk-stack, fluentd, kibana, log, logging, logstash, software, software-engineering, tools
- Size: 0 Bytes
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Induction to Logging
====================
# References
* [OpenTracing](https://opentracing.io)
* [Jaeger Tracing](https://www.jaegertracing.io)
* [ElasticSearch](https://elasitc.co) stacks:
+ [ELK (ElasticSearch, Logstash, Kibana](https://www.elastic.co/start)
+ [EFK (ElasticSearch, Fluentd, Kibana](https://docs.fluentd.org/v/0.12/articles/docker-logging-efk-compose)
+ [Kibana](https://www.elastic.co/products/kibana)
+ [Logstash](https://www.elastic.co/products/logstash)
+ [Fluentd](https://www.fluentd.org/)
* [How to install Python virtual environments with Pyenv and `pipenv`](http://github.com/machine-learning-helpers/induction-python/tree/master/installation/virtual-env)
# Overview
[That repository](https://github.com/infra-helpers/induction-logging) aims
at providing end-to-end examples introducing how to collect, store
and query logs, produced by different frameworks relevant to data science
(_e.g._, Python, Scala), for local as well as cloud-operated applications.