package install

import "istio.io/istio/pkg/monitoring"

var (
	resultLabel                   = monitoring.CreateLabel("result")
	resultSuccess                 = "SUCCESS"
	resultCopyBinariesFailure     = "COPY_BINARIES_FAILURE"
	resultCreateKubeConfigFailure = "CREATE_KUBECONFIG_FAILURE"
	resultCreateCNIConfigFailure  = "CREATE_CNI_CONFIG_FAILURE"

	cniInstalls = monitoring.NewSum(
		"istio_cni_installs_total",

// See the License for the specific language governing permissions and
// limitations under the License.

package monitoring

import (
	"fmt"
	"net"
	"net/http"

	"istio.io/istio/pkg/log"
	"istio.io/istio/pkg/monitoring"
	"istio.io/istio/pkg/network"
)

func SetupMonitoring(port int, path string, stop <-chan struct{}) {
	if port <= 0 {
		return
	}

package repair

import (
	"istio.io/istio/pkg/monitoring"
)

var (
	typeLabel  = monitoring.CreateLabel("type")
	deleteType = "delete"
	repairType = "repair"
	labelType  = "label"

	resultLabel   = monitoring.CreateLabel("result")
	resultSuccess = "success"
	resultSkip    = "skip"
	resultFail    = "fail"

	podsRepaired = monitoring.NewSum(
		"istio_cni_repair_pods_repaired_total",

# MinIO Monitoring Guide

MinIO server exposes monitoring data over endpoints. Monitoring tools can pick the data from these endpoints. This document lists the monitoring endpoints and relevant documentation.

## Healthcheck Probe

MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.

#include "tensorflow/c/eager/c_api.h"

#ifdef __cplusplus
extern "C" {
#endif

// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");

      - {{ .Release.Namespace | quote }}
  selector:
    matchLabels:
      app: {{ include "minio.name" . }}
      release: {{ .Release.Name }}
      monitoring: "true"
{{- end }}
{{- if .Values.metrics.serviceMonitor.enabled }}
---
apiVersion: monitoring.coreos.com/v1
kind: Probe
metadata:
  name: {{ template "minio.fullname" . }}-cluster
  {{- if .Values.metrics.serviceMonitor.namespace }}

# How to monitor MinIO server with Prometheus? [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

# do not use in production
loki:
  useTestSchema: true
  auth_enabled: false
  commonConfig:
    replication_factor: 1
  storage:
    type: 'filesystem'
test:
  enabled: false
lokiCanary:
  enabled: false
monitoring:
  dashboards:
    enabled: false
  rules:
    enabled: false
    alerting: false
  serviceMonitor:
    enabled: false
    metricsInstance:
      enabled: false
  selfMonitoring:
    enabled: false

metadata:
  name: {{ template "minio.fullname" . }}
  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
    monitoring: "true"
  {{- if .Values.service.annotations }}
  annotations: {{- toYaml .Values.service.annotations | nindent 4 }}
  {{- end }}
spec:
  type: {{ .Values.service.type }}

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.