![]() ![]() Step 4: Enable relevant Metricbeat modulesīy default only system level metrics are collected: Step 3: Change directories cd metricbeat-7.1.0-darwin-x86_64īy default our configuration file (metricbeat.yml) will be looking for an Elasticsearch cluster running at localhost:9200, which is what we configured earlier. Step 2: Extract the archive tar -xvf metricbeat-7.1.0-darwin-x86_64.tar.gz Now we'll configure Beats to start collecting and shipping our data. Given the variety of ways NGINX can be set up and configured, this article doesn't make too many assumptions and will show host configuration as well as Autodiscover (Docker, in this case) examples. Beats has an Autodiscover feature that can listen to container API events to track our server containers as they spin up or are removed. There are many ways we can run NGINX - standalone on the host, via a Docker container, within a Kubernetes setup, etc. elasticsearchīy default, your cluster will be running at localhost:9200. Step 3: Change to the bin directory cd elasticsearch-7.1.0/bin Step 2: Extract the archive tar -xvf elasticsearch-7.1.0-darwin-x86_64.tar.gz Step 1: Download Elasticsearch curl -L -O Since we're not exposing Elasticsearch externally, we won't spend time configuring security. We'll set up a simple Elasticsearch cluster locally. Metricbeat and Filebeat (in fact, all Beats) need an Elasticsearch cluster to store data. Distributions for other platforms can be acquired from the downloads page. I'm using a Mac and will therefore be using the Mac distributions of Elasticsearch, Metricbeat, Filebeat, and Kibana. The core focus of this article is the monitoring functionality, so things like Elasticsearch setup will be brief. A sudden spike in client requests may point to something malicious (like a DDoS attack).Access logs can show when a services peak times are (and therefore when it might be best to perform things like maintenance).A spike in error logs for a certain resource may mean we have deleted a resource that is still needed.Mileage will vary between different setups, but for the most part we can use this information to deduce certain things, for example: Filebeat will gather data related to access and error logs. Metricbeat will collect data related to connections (active, handled, accepted, etc.) and the total number of client requests. Finally, we'll view that data with Kibana. This data will be shipped off to and stored within Elasticsearch. We'll use Metricbeat and Filebeat to collect data. In this article, we'll be looking at how we can monitor NGINX using the various components of the Elastic Stack. ![]()
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