In the example here, you can see at the top URL’s by response code sent to your Apache HTTP server: You can use Bar Chart, Line Chart or Area Chart visualizations for this:ĭata table visualizations are a great way of breaking up your logs into ordered lists, sorted in the way you want them to be using aggregations. Again, this gives you a good picture of normal behavior and can help you detect a sudden spike in error response codes. automatically geo enriches the IP fields within the Apache access logs so you can use a Coordinate Map visualization to map the requests as shown below:Īnother common visualization used for Apache access logs monitors response codes over time. This helps you monitor regular behavior and identify suspicious traffic. The most frequent uses cases of visualizing Apache logs using Kibana are: 1) Request mapįor Apache access logs and any other type of logs recording traffic, the usual place to start is a map of the different locations submitting requests. With Kibana you can instantly visualize your data with dashboards in many different ways. The query options are actually extremely varied depending on your actually needs, which can be analytics, troubleshooting, security and many more For example, you can search for any Apache error log for the last day using this search query: Just enter your search query in the search field as follows(search word: United States):Īnother option is to conduct field-level searches if you want to be more specific. For example, you can search with free text. Kibana gives you many query options and features like auto-suggest and auto-complete make searching much easier. Now you can query your logs with the help of Kibana. Example log:įinally, check that Apache data is received from your Filebeat How to analyze Apache logs They contain a lot of valuable information about the requests to Apache (which pages people are viewing, the success status of requests, and how long the request took to respond). Additionally, they can be used for resolving security issues. The access logs store all the requests processed by the Apache HTTP server and are used for performance monitoring. The Apache HTTP server provides two log types that can be used for monitoring your installation:īoth logs are located, by default, under /var/log/apache2 on Ubuntu/Debian, and /var/log/httpd/ on MacOS, RHEL, CentOS and Fedora. ELK Stack installed and configured by you.To complete the steps shown in this guide you will need an Apache HTTP server installed and active, and either of the following: The amount of data being generated is vast, and to be able to effectively collect and analyze Apache logs the most effective way is through a log management and analysis platform, like ELK Stack. ![]() If you want to effectively monitor an Apache HTTP Server, you have to access the two main types of metrics data available, the Apache logs and Apache status (you can see the status if you enable mod_status from Apache configuration, and Apache is running in In this article, we will focus on logs. Apart from that, it’s also one of the oldest web servers, with its first release back in 1995. Its popularity is verified by the fact that today powers around 45% of websites globally. Apache is being used by Facebook, LinkedIn, Cisco, eBay, IBM, General Electric, Adobe, and many more. It’s actively maintained by the Apache Software Foundation and its popularity grows from the fact that engineers can extend its core functionalities to suit their per project needs. Then you have to install some plugins.Apache (officially Apache HTTP Server) is the most popular open-source, cross-platform web server today. ![]() Since I am using filebeat to ingest apache logs I will enable the apache2 module.įirst install and start Elasticsearch and Kibana. No messing around in the config files, no need to handle edge cases. Each standard logging format has its own module. So to make life easier filebeat comes with modules. In real world however there are a few industry standard log formats which are very common. HOWįilebeat has been made highly configurable to enable it to handle a large variety of log formats. Filebeats is light weight application where as Logstash is a big heavy application with correspondingly richer feature set. There are two popular ways of getting the logs in Elasticsearch cluster. Sooner or later you will end up with Apache logs which you will want to push into the Elasticsearch cluster. Even Buzz LightYear knew that.Īnd then there is a growing user base of people who are increasingly using ELK stack to handle the logs. I will just show the bare minimum which needs to be done to make the system work.Īpache logs are everywhere. I will not go into minute details since I want to keep this post simple and sweet. This tutorial on using Filebeat to ingest apache logs will show you how to create a working system in a jiffy.
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