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Logstash boilerplate

This repository contains a boilerplate for deploying logstash on Scalingo.

You have three different configuration available:

  • logstash.conf: this configuration will listen for http request authenticated by the authentication information passed in the USER and PASSWORD environment variables and send it to and elasticsearch database. This will also parse url defined variables.
  • logstash-json.conf this configuration is based on the previous one but if the content is a valid json it will parse it
  • logstash-kv.conf this configuration is based on logstash.conf but it will also parse the content to search and parse patterns like key=value

By default we are using the logstash.conf configuration, but you can use another one by changing the web process of the Procfile from: web: bin/logstash -f logstash.conf

To:

web: bin/logstash -f logstash-json.conf

To:

web: bin/logstash -f logstash-kv.conf

Configuration

You will need to configure the following environment variables:

  • USER the username that you will use to authenticate against your logstash instance
  • PASSWORD the password that you will use to authenticate against your logstash instance
  • ELASTICSEARCH_URL the URL of your elasticsearch instance. (If you use our Elasticsearch addon, this will be automatically added)

You will also change the change-me index name in the output section of your logstash configuration.

Updating Logstash version

To update your application with a more recent version of version of Logstash, the most straightforward method is to deploy your application. The used buildpack is defining the used version, which can be overrided with the environment variable LOGSTASH_VERSION.

To trigger the new deployment, either use:

  • The Manual Deployment feature of our GitHub or Gitlab
  • git push deployment after adding an empty commit to your project git commit --allow-empty -m "New deployment to update logstash"

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Logstash boilerplate to prepare Scalingo deployment

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