0e8e8f0f31
Allows for a plugin type that can be used to scrape metrics. This is useful because metrics are not neccessarily at a standard location... `--metrics-addr` must be set, and must currently be a TCP socket. Even if metrics are done via a unix socket, there's no guarentee where the socket may be located on the system, making bind-mounting such a socket into a container difficult (and racey, failure-prone on daemon restart). Metrics plugins side-step this issue by always listening on a unix socket and then bind-mounting that into a known path in the plugin container. Note there has been similar work in the past (and ultimately punted at the time) for consistent access to the Docker API from within a container. Why not add metrics to the Docker API and just provide a plugin with access to the Docker API? Certainly this can be useful, but gives a lot of control/access to a plugin that may only need the metrics. We can look at supporting API plugins separately for this reason. Signed-off-by: Brian Goff <cpuguy83@gmail.com>
174 lines
5 KiB
Go
174 lines
5 KiB
Go
package daemon
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import (
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"path/filepath"
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"sync"
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"github.com/Sirupsen/logrus"
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"github.com/docker/docker/pkg/mount"
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"github.com/docker/docker/pkg/plugingetter"
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"github.com/docker/go-metrics"
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"github.com/pkg/errors"
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"github.com/prometheus/client_golang/prometheus"
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)
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const metricsPluginType = "MetricsCollector"
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var (
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containerActions metrics.LabeledTimer
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containerStates metrics.LabeledGauge
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imageActions metrics.LabeledTimer
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networkActions metrics.LabeledTimer
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engineInfo metrics.LabeledGauge
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engineCpus metrics.Gauge
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engineMemory metrics.Gauge
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healthChecksCounter metrics.Counter
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healthChecksFailedCounter metrics.Counter
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stateCtr *stateCounter
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)
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func init() {
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ns := metrics.NewNamespace("engine", "daemon", nil)
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containerActions = ns.NewLabeledTimer("container_actions", "The number of seconds it takes to process each container action", "action")
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for _, a := range []string{
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"start",
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"changes",
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"commit",
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"create",
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"delete",
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} {
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containerActions.WithValues(a).Update(0)
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}
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networkActions = ns.NewLabeledTimer("network_actions", "The number of seconds it takes to process each network action", "action")
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engineInfo = ns.NewLabeledGauge("engine", "The information related to the engine and the OS it is running on", metrics.Unit("info"),
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"version",
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"commit",
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"architecture",
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"graphdriver",
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"kernel", "os",
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"os_type",
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"daemon_id", // ID is a randomly generated unique identifier (e.g. UUID4)
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)
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engineCpus = ns.NewGauge("engine_cpus", "The number of cpus that the host system of the engine has", metrics.Unit("cpus"))
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engineMemory = ns.NewGauge("engine_memory", "The number of bytes of memory that the host system of the engine has", metrics.Bytes)
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healthChecksCounter = ns.NewCounter("health_checks", "The total number of health checks")
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healthChecksFailedCounter = ns.NewCounter("health_checks_failed", "The total number of failed health checks")
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imageActions = ns.NewLabeledTimer("image_actions", "The number of seconds it takes to process each image action", "action")
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stateCtr = newStateCounter(ns.NewDesc("container_states", "The count of containers in various states", metrics.Unit("containers"), "state"))
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ns.Add(stateCtr)
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metrics.Register(ns)
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}
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type stateCounter struct {
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mu sync.Mutex
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states map[string]string
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desc *prometheus.Desc
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}
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func newStateCounter(desc *prometheus.Desc) *stateCounter {
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return &stateCounter{
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states: make(map[string]string),
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desc: desc,
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}
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}
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func (ctr *stateCounter) get() (running int, paused int, stopped int) {
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ctr.mu.Lock()
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defer ctr.mu.Unlock()
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states := map[string]int{
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"running": 0,
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"paused": 0,
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"stopped": 0,
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}
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for _, state := range ctr.states {
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states[state]++
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}
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return states["running"], states["paused"], states["stopped"]
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}
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func (ctr *stateCounter) set(id, label string) {
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ctr.mu.Lock()
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ctr.states[id] = label
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ctr.mu.Unlock()
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}
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func (ctr *stateCounter) del(id string) {
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ctr.mu.Lock()
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delete(ctr.states, id)
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ctr.mu.Unlock()
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}
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func (ctr *stateCounter) Describe(ch chan<- *prometheus.Desc) {
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ch <- ctr.desc
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}
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func (ctr *stateCounter) Collect(ch chan<- prometheus.Metric) {
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running, paused, stopped := ctr.get()
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ch <- prometheus.MustNewConstMetric(ctr.desc, prometheus.GaugeValue, float64(running), "running")
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ch <- prometheus.MustNewConstMetric(ctr.desc, prometheus.GaugeValue, float64(paused), "paused")
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ch <- prometheus.MustNewConstMetric(ctr.desc, prometheus.GaugeValue, float64(stopped), "stopped")
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}
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func (d *Daemon) cleanupMetricsPlugins() {
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ls := d.PluginStore.GetAllManagedPluginsByCap(metricsPluginType)
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var wg sync.WaitGroup
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wg.Add(len(ls))
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for _, p := range ls {
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go func() {
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defer wg.Done()
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pluginStopMetricsCollection(p)
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}()
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}
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wg.Wait()
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if d.metricsPluginListener != nil {
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d.metricsPluginListener.Close()
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}
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}
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type metricsPlugin struct {
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plugingetter.CompatPlugin
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}
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func (p metricsPlugin) sock() string {
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return "metrics.sock"
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}
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func (p metricsPlugin) sockBase() string {
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return filepath.Join(p.BasePath(), "run", "docker")
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}
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func pluginStartMetricsCollection(p plugingetter.CompatPlugin) error {
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type metricsPluginResponse struct {
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Err string
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}
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var res metricsPluginResponse
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if err := p.Client().Call(metricsPluginType+".StartMetrics", nil, &res); err != nil {
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return errors.Wrap(err, "could not start metrics plugin")
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}
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if res.Err != "" {
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return errors.New(res.Err)
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}
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return nil
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}
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func pluginStopMetricsCollection(p plugingetter.CompatPlugin) {
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if err := p.Client().Call(metricsPluginType+".StopMetrics", nil, nil); err != nil {
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logrus.WithError(err).WithField("name", p.Name()).Error("error stopping metrics collector")
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}
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mp := metricsPlugin{p}
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sockPath := filepath.Join(mp.sockBase(), mp.sock())
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if err := mount.Unmount(sockPath); err != nil {
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if mounted, _ := mount.Mounted(sockPath); mounted {
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logrus.WithError(err).WithField("name", p.Name()).WithField("socket", sockPath).Error("error unmounting metrics socket for plugin")
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}
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}
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return
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}
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