Step 1 - Install Filebeat
A sample NGINX access log entry: Transforming and sending Nginx log data to Elasticsearch using Filebeat and Logstash - Part 2 Daniel Romić on 23 Feb 2018 In our previous post blog post we’ve covered basics of Beats family as well as Logstash and Grok filter and patterns and started with configuration files, covering only Filebeat configuration in full. One of the most-common things that need to be done first is to access NGINX logs and apply some filtering and enhancements with Logstash. directory /nginx/dataand then send the access and error logs to Logstash. With logstash you can do all of that. You have Filebeat configured, on each application server, to send syslog/auth.log to your Logstash server (as in the Set Up Filebeat section of the prerequisite tutorial) If your setup differs, simply adjust this guide to match your environment. Ship logs from NGINX to logstash Configure Filebeat to ship logs from a NGINX web server to Logstash and Elasticsearch.
The answer it Beats will convert the logs to JSON, the format required by ElasticSearch, but it will not parse GET or POST message field to the web server to pull out the URL, operation, location, etc. Here is an example of an NGINX log line and the Logstash configuration that we at Logz.io use to parse such logs in our own environment.
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 be pushed to Elasticsearch. To be able to find the Logstashcontainer we use Dockers builtin resolver, so we can … There can be a single or multiple client servers for which you wish to ship logs to Elasticsearch.
In addition to our Elasticsearch server, we will require a separate logstash server to process incoming nginx logs from client servers and ship them to Elasticsearch. So in this example: Beats is configured to watch for new log entries written to /var/logs/nginx*.logs.