https://github.com/douglasmoraisdev/elk_iris

docker-compose para um stack ELK (Elasticsearch, Logstash, Kibana), para monitorar postagens do Twitter baseado em keywords definidos em configuração no Logstash
https://github.com/douglasmoraisdev/elk_iris

docker docker-compose elasticsearch filebeats fluentd kibana logstash twitter twitter-api twitter-bot

Last synced: about 2 months ago
JSON representation

docker-compose para um stack ELK (Elasticsearch, Logstash, Kibana), para monitorar postagens do Twitter baseado em keywords definidos em configuração no Logstash

• Host: GitHub
• URL: https://github.com/douglasmoraisdev/elk_iris
• Owner: douglasmoraisdev
• Created: 2019-08-06T14:03:54.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-23T21:54:43.000Z (almost 5 years ago)
• Last Synced: 2024-05-14T00:31:44.661Z (8 months ago)
• Topics: docker, docker-compose, elasticsearch, filebeats, fluentd, kibana, logstash, twitter, twitter-api, twitter-bot
• Language: Dockerfile
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# elk_iris - A Elasticsearch, Logstash, Kibana stack for Twitter Post Monitoring

## Subindo o stack

>$ docker-compose up

## Kibana Dashboard

> http://localhost:5601/app/kibana

## Configurando o Logstash

Em `logstash/pipeline/twitter.conf`:

```

input {

  twitter {

    id => "twitter_input"

    consumer_key => ""

    consumer_secret => ""

    oauth_token => ""

    oauth_token_secret => ""

    ignore_retweets => true

    keywords => ["some_key_words"]

  }

}

filter {}

output {

  elasticsearch {

    hosts => ["http://elasticsearch:9200"]

    index => "twitter_input"

  }

}

```