This Getting Started with Elastic Stack example provides sample files to ingest, analyze & visualize NGINX access logs using the Elastic Stack, i.e. Elasticsearch, Filebeat and Kibana. The sample NGINX access logs in this example use the default NGINX combined log format.
In order to achieve this we use the Filebeat Nginx module per Elastic Stack best practices.
Historically this example used Logstash. This configuration is provided for reference only.
Example has been tested in following versions:
- Elasticsearch 6.0
- Elasticsearch user agent plugin 6.0
- Elasticsearch user geoip plugin 6.0
- Filebeat 6.0
- Kibana 6.0
- nginx_logs - Sample nginx log files
This example includes:
- nginx_logstash.conf - Logstash configuration. REFERENCE ONLY.
- nginx_kibana.json - Custom Kibana dashboard associated with Logstash configuration. REFERENCE ONLY.
- nginx_template.json - Template for Logstash ingestion. REFERENCE ONLY.
-
Follow the Installation & Setup Guide to install and test the Elastic Stack (you can skip this step if you have a working installation of the Elastic Stack)
-
Run Elasticsearch & Kibana
<path_to_elasticsearch_root_dir>/bin/elasticsearch <path_to_kibana_root_dir>/bin/kibana
-
Install the required plugins
<path_to_elasticsearch_root_dir>/bin/elasticsearch-plugin install ingest-user-agent <path_to_elasticsearch_root_dir>/bin/elasticsearch-plugin install ingest-geoip
-
Check that Elasticsearch and Kibana are up and running.
- Open
localhost:9200
in web browser -- should return status code 200 - Open
localhost:5601
in web browser -- should display Kibana UI.
Note: By default, Elasticsearch runs on port 9200, and Kibana run on ports 5601. If you changed the default ports, change the above calls to use appropriate ports.
- Open
-
Download and install Filebeat as described here. Do not start Filebeat
Download the following files in this repo to a local directory:
nginx_logs
- sample data **
Unfortunately, Github does not provide a convenient one-click option to download entire contents of a subfolder in a repo. Use sample code provided below to download the required files to a local directory:
** The NGINX logs used in this example were created with the default combined log_format
entry in the nginx.config
file.
log_format combined '$remote_addr - $remote_user [$time_local] '
'"$request" $status $body_bytes_sent '
'"$http_referer" "$http_user_agent"';
wget https://raw.githubusercontent.com/elastic/examples/master/Common%20Data%20Formats/nginx_logs/nginx_logs
- From the Filebeat installation directory setup the apache2 module and ingest the sample provided. Modify the following command to include the location to the above sample data file.
cd <path_to_filebeat_root_dir>
./filebeat -e --modules=nginx --setup -M "nginx.access.var.paths=[<PATH_TO_NGINX_LOGS_FILE>]"
-
Verify that data is successfully indexed into Elasticsearch
Running
curl http://localhost:9200/filebeat-*/_count
should return a response a"count":51462
Note: The module assumes that you are running Elasticsearch on the same host as Filebeat and have not changed the defaults. Modify the settings my appending the parameter to the -E
switch:
-E output.elasticsearch.hosts=<HOST>:<PORT>
- Access Kibana by going to
http://localhost:5601
in a web browser - You may be asked to select a default index pattern, if this is a clean Kibana/ES install. If so, select the "filebeat-*" index pattern and click the star button in the upper right.
- Open dashboard
- Click on Dashboard tab and open
[Filebeat Nginx] Access and error logs
dashboard
- Click on Dashboard tab and open
- Change the time period
- From the time range selector in the top right, selec the time period
2015-05-16 00:00:00.000
to2015-06-05 23:59:59.999
and clickGo
- From the time range selector in the top right, selec the time period
Voila! You should see the following dashboards. Enjoy!
If you found this example helpful and would like to see more such Getting Started examples for other standard formats, we would love to hear from you. If you would like to contribute examples to this repo, we'd love that too!