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-# Monitor Nginx or Apache web server log files
-
-Parsing web server log files with Netdata, revealing the volume of redirects, requests and other metrics, can give you a better overview of your infrastructure.
-
-Too many bad requests? Maybe a recent deploy missed a few small SVG icons. Too many requests? Time to batten down the hatches—it's a DDoS.
-
-You can use the [LTSV log format](http://ltsv.org/), track TLS and cipher usage, and the whole parser is faster than
-ever. In one test on a system with SSD storage, the collector consistently parsed the logs for 200,000 requests in
-200ms, using ~30% of a single core.
-
-The [web_log](https://github.com/netdata/go.d.plugin/blob/master/modules/weblog/README.md) collector is currently compatible
-with [Nginx](https://nginx.org/en/) and [Apache](https://httpd.apache.org/).
-
-This guide will walk you through using the new Go-based web log collector to turn the logs these web servers
-constantly write to into real-time insights into your infrastructure.
-
-## Set up your web servers
-
-As with all data sources, Netdata can auto-detect Nginx or Apache servers if you installed them using their standard
-installation procedures.
-
-Almost all web server installations will need _no_ configuration to start collecting metrics. As long as your web server
-has readable access log file, you can configure the web log plugin to access and parse it.
-
-## Custom configuration of the web log collector
-
-The web log collector's default configuration comes with a few example jobs that should cover most Linux distributions
-and their default locations for log files:
-
-```yaml
-# [ JOBS ]
-jobs:
-# NGINX
-# debian, arch
- - name: nginx
- path: /var/log/nginx/access.log
-
-# gentoo
- - name: nginx
- path: /var/log/nginx/localhost.access_log
-
-# APACHE
-# debian
- - name: apache
- path: /var/log/apache2/access.log
-
-# gentoo
- - name: apache
- path: /var/log/apache2/access_log
-
-# arch
- - name: apache
- path: /var/log/httpd/access_log
-
-# debian
- - name: apache_vhosts
- path: /var/log/apache2/other_vhosts_access.log
-
-# GUNICORN
- - name: gunicorn
- path: /var/log/gunicorn/access.log
-
- - name: gunicorn
- path: /var/log/gunicorn/gunicorn-access.log
-```
-
-However, if your log files were not auto-detected, it might be because they are in a different location. Try the default
-`web_log.conf` file.
-
-```bash
-./edit-config go.d/web_log.conf
-```
-
-To create a new custom configuration, you need to set the `path` parameter to point to your web server's access log
-file. You can give it a `name` as well, and set the `log_type` to `auto`.
-
-```yaml
-jobs:
- - name: example
- path: /path/to/file.log
- log_type: auto
-```
-
-Restart Netdata with `sudo systemctl restart netdata`, or the [appropriate
-method](https://github.com/netdata/netdata/blob/master/docs/configure/start-stop-restart.md) for your system. Netdata should pick up your web server's access log and
-begin showing real-time charts!
-
-### Custom log formats and fields
-
-The web log collector is capable of parsing custom Nginx and Apache log formats and presenting them as charts, but we'll
-leave that topic for a separate guide.
-
-We do have [extensive
-documentation](https://github.com/netdata/go.d.plugin/blob/master/modules/weblog/README.md#custom-log-format) on how
-to build custom parsing for Nginx and Apache logs.
-
-## Tweak web log collector alerts
-
-Over time, we've created some default alerts for web log monitoring. These alerts are designed to work only when your
-web server is receiving more than 120 requests per minute. Otherwise, there's simply not enough data to make conclusions
-about what is "too few" or "too many."
-
-- [web log alerts](https://raw.githubusercontent.com/netdata/netdata/master/health/health.d/web_log.conf).
-
-You can also edit this file directly with `edit-config`:
-
-```bash
-./edit-config health.d/weblog.conf
-```
-
-For more information about editing the defaults or writing new alert entities, see our
-[health monitoring documentation](https://github.com/netdata/netdata/blob/master/health/README.md).