We are constantly instrumenting hundreds of sections in the code, together with higher level metrics, about system performance. Graylog metricsĪnother important technique is to monitor certain internal Graylog metrics. In general, most monitoring tools will have a predefined collector setting to monitor packet receive errors. 0 packet receive errors 201116 packets sentĪs you can see in this case, we’ve had zero packet receive errors, which is good. On Linux systems you can check it like this: $ netstat -us Udp: 781024 packets received 500896 packets to unknown port received. Good news though! An operating system will at least report on discarded messages. In Graylog, this can happen if the system is overloaded and it cannot handle the incoming throughput. For example, this can happen if the kernel UDP receive buffers are filling up because incoming messages are not handled fast enough. In a server system, there is no way to signal a UDP source that a message could not be processed, meaning some UDP messages might silently be lost. If you are using UDP as transport protocol for any log source, you should also monitor for UDP receive errors. Make sure the journal size and data retention settings are supported by enough disk space at all times. You will run into serious trouble if Graylog or Elasticsearch runs out of disk space. Of these five core metrics, we’d like to note the importance of monitoring available disk space. Nothing special to think about for Graylog here. Simply apply the same monitoring methods you use for other systems. These metrics are important to keep in check as they will tell you when it’s time to scale out vertically or horizontally. The core set of metrics below should always be in acceptable parameters and never grow over extended periods without going back to normal levels. It is critical to monitor metrics that are coming directly from the hosts where you are running your Graylog infrastructure.
#MACLOGGERDX GRAY LOG ENTRIES HOW TO#
In this post, we’ll provide a list of both host and Graylog metrics that you should monitor regularly as well as a guide on how to access the data. Graylog already provides various ways to access internal metrics, but we are often asked what to monitor specifically. Once you have Graylog fully up and running, it’s best to implement a plan for monitoring your system to make sure everything is operating correctly.
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