As many of you might know, when you deploy a ELK stack on Amazon Web Services, you only get E and K in the ELK stack, which is Elasticsearch and Kibana. Here we will be dealing with Logstash on EC2.
Logstash
A collection of 4 posts
How to Ingest Nginx Access Logs to Elasticsearch using Filebeat and Logstash
window.dojoRequire(["mojo/signup-forms/Loader"], function(L) { L.start({"baseUrl":"mc.us15.list-manage.com","uuid":"3dfcff447b6ee598231eeb658","lid":"5c36081d06","uniqueMethods":true}) }) In this post we will setup a Pipeline that will use Filebeat to ship our Nginx Web Servers Access Logs
How to Ingest Nginx Access Logs to Elasticsearch using Filebeat and Logstash
In this post we will setup a Pipeline that will use Filebeat to ship our Nginx Web Servers Access Logs into Logstash, which will filter our data according to a defined pattern, which also includes Maxmind's GeoIP, and then will
Setup ELK Stack with Elasticsearch Kibana Logstash
~Note:~ This post is old and is scheduled to be updated. Centralized logging, analytics and visualization with ElasticSearch, Filebeat, Kibana and Logstash. Our ELK Stack will consist of: Elasticsearch: Stores all of the logs Kibana: Web interface for searching and
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