https://github.com/hellofresh/logreplay

Re-feed logs stored in S3 into an ElasticSearch cluster.
https://github.com/hellofresh/logreplay

wiz-unknown

Last synced: 3 months ago
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Re-feed logs stored in S3 into an ElasticSearch cluster.

• Host: GitHub
• URL: https://github.com/hellofresh/logreplay
• Owner: hellofresh
• License: mit
• Archived: true
• Created: 2016-01-15T13:11:22.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2019-06-20T13:40:25.000Z (almost 7 years ago)
• Last Synced: 2025-12-17T14:51:39.855Z (4 months ago)
• Topics: wiz-unknown
• Language: Go
• Size: 43.9 KB
• Stars: 0
• Watchers: 233
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
logreplay

===========

The overall goal is to re-feed logs stored on S3 into an ElasticSearch (ES) cluster.

The resulting binary is meant to be used as the value for `ENTRYPOINT` in [this Dockerfile](https://github.com/hellofresh/logreplay-docker).

This code handles following tasks:

  - writing template files based on values provided via environment variables,

  - mounting an AWS S3 bucket with the help of [s3fs-fuse](https://github.com/s3fs-fuse/s3fs-fuse),

  - starting the [Filebeat service](https://www.elastic.co/products/beats/filebeat) to feed the logs into an ES cluster.