![]() Name="rvice" or name="systemd-coredump.socket". MetricsĪll metrics have name label, which contains systemd unit name. User needs to access systemd dbus, typically exporter needs to see node's /proc, /sys/fs/cgroup to work. Take a look at examples for daemonset manifests for Kubernetes. busname (only present on systems using kdbus), generated (created via generators), transient (created during systemd-run) have no special support. Of note, there is no customized support for. This feature only works with systemd 235 and above. Systemd Exporter needs access to /proc/X/fd files.Įnables service ip accounting metrics. file-descriptor-sizeĮnables file descriptor size metrics. Try enabling different flags, to see what works on your system.Įnables service restart count metrics. There is varying support for different metrics based on systemd version.įlags that come from newer systemd versions are disabled by default to avoid breaking things for users using older systemd versions. It does also require that you are using systemd as your init system whereas the bottom-up approach works The systemdĪpproach provides much stronger guarantees that no processes/threads are "missing" from your group, but groups are named and then processes are launched in them). This is a bottom-up variant of logical process grouping, while Processes according to the process names. process-exporter has a concept of logically grouping There is overlap between these three exporters, so make sure to read the documents if you use multiple.įor example, if you are using systemd-exporter, then you should not enable these flags in node-exporterĪs we already expose identical metrics by default: -task-metrics -restarts-metrics -start-time-metrics. For that level of detail (and numerous other "very fine grained") metrics, you The rvice, we will only export systemd provided metrics on the service unit, not on the If you've chosen to pack 400 threads and 20 processes inside Said another way, the granularity of systemd-exporter is Metrics for specific processes or threads. This clearly allows more granular monitoring than machine-level metrics. ![]() rvice independently from the resources used by other processes on your system. Specific view of your system, allowing you to determine resource usage of an application such as service, slice, etc)Īnd give you metrics about the health and resource consumption of each unit. Systemd-exporter will read the 11 different types of systemd units (e.g. Systemd groups processes, threads, and other resources (PIDs, memory, etc) into logical containersĬalled units. Metrics per cgroup (systemd uses cgroups)ĬPU usage of each cgroup (e.g. Systemd unit monitoring and resource usage Machine-wide monitoring and usage summaryĬPU usage of entire node (e.g. systemd-exporter aims to fit in the middle, takingĪdvantage of systemd's builtin process and thread grouping to provide application-level metrics. Is focused on deep analysis of specific processes. For example, the node_exporter has a broad node level focus, and the process-exporter Prometheus exporter for systemd units, written in Go. ![]()
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