mirror of
https://github.com/prometheus-community/windows_exporter.git
synced 2026-10-17 18:19:04 +02:00
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Jan-Otto Kröpke <mail@jkroepke.de>
814 lines
27 KiB
Jsonnet
814 lines
27 KiB
Jsonnet
local b = import 'builders.libsonnet';
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local hosts = 'windows_os_hostname{job=~"$job", hostname=~"$hostname"}';
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// Counts hosts matching expr, a vector by instance. Falls back to 0 while hosts are selected.
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local countHosts(expr) = 'count((' + expr + ') and on (instance) ' + hosts + ') or (0 * count(' + hosts + '))';
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local cpuBusy = '100 * (1 - avg by (instance) (clamp_max(rate(windows_cpu_time_total{job=~"$job", mode="idle"}[$__rate_interval]), 1)))';
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local memoryUsed = '100 * (1 - windows_memory_physical_free_bytes{job=~"$job"} / windows_memory_physical_total_bytes{job=~"$job"})';
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local volumeFree = '100 * windows_logical_disk_free_bytes{job=~"$job", volume!~"HarddiskVolume.*"} / windows_logical_disk_size_bytes{job=~"$job", volume!~"HarddiskVolume.*"}';
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local attention = [{ color: 'green', value: null }, { color: 'orange', value: 1 }];
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// config supplies the alert thresholds, so a counter turns orange when the matching alert condition holds.
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function(on, config)
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b.tab(
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'Fleet',
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b.rows([
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if on('os') then b.summary([
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250,
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251,
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if on('cpu') then 252,
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if on('memory') then 253,
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if on('logical_disk') then 254,
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if on('service') then 255,
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]),
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if on('os') then b.row('Hosts', b.flow([[2, 24, 10]])),
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if on('os') then b.row('Utilization', b.flow([if on('cpu') then [3, 8, 8], if on('memory') then [4, 8, 8], if on('logical_disk') then [5, 8, 8]])),
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if on('os') then b.row('Network and disk', b.flow([if on('net') then [6, 12, 8], if on('net') then [9, 12, 8], if on('logical_disk') then [7, 12, 8], if on('net') then [8, 12, 8]])),
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]),
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[
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b.stat(250, 'Hosts', 'Hosts that match the Job and Hostname selection and report windows_os_hostname.', 'count(' + hosts + ')'),
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b.stat(251, 'Hosts down', 'Selected hosts whose last scrape failed. Hosts stay selectable for one day after they stop reporting.', 'count((up{job=~"$job"} == 0) and on (instance) last_over_time(' + hosts + '[1d])) or (0 * count(up{job=~"$job"}))', steps=[{ color: 'green', value: null }, { color: 'red', value: 1 }]),
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b.stat(252, 'CPU > %s%%' % config.cpuHighUsageThreshold, 'Hosts whose CPU usage is above the cpuHighUsageThreshold of the WindowsCPUHighUsage alert. The alert also requires 15 minutes above it.', countHosts(cpuBusy + ' > %s' % config.cpuHighUsageThreshold), steps=attention),
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b.stat(253, 'RAM > %s%%' % config.memoryHighUsageThreshold, 'Hosts whose physical memory usage is above the memoryHighUsageThreshold of the WindowsMemoryHighUsage alert. The alert also requires 15 minutes above it.', countHosts('max by (instance) (' + memoryUsed + ') > %s' % config.memoryHighUsageThreshold), steps=attention),
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b.stat(254, 'Low disk', 'Hosts with at least one volume with less than %s%% free space, the diskFreeWarningThreshold' % config.diskFreeWarningThreshold + ' of the WindowsDiskAlmostFull alert. HarddiskVolume* volumes without a drive letter are ignored.', countHosts('min by (instance) (' + volumeFree + ') < %s' % config.diskFreeWarningThreshold), steps=attention),
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b.stat(255, 'Auto stopped', 'Hosts with at least one service with start mode auto that is not running. Delayed-start and trigger-start services can show up here until they start.', countHosts('count by (instance) (windows_service_state{job=~"$job", state="running"} == 0 and on (instance, name) windows_service_start_mode{job=~"$job", start_mode="auto"} == 1)'), steps=attention),
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b.panel.new(2, 'Hosts', 'table')
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+ b.panel.withDescription('One row per scraped host. Click a hostname to open its details. C: used is the usage of the C: volume, usually the system drive; Fullest volume is the most used volume with a drive letter. Services up counts running services; Auto stopped counts services with start mode auto that are not running.')
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+ b.panel.withQueries([
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b.query.new('max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"})', 'A')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance, product, version) (windows_os_info{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'B')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (time() - windows_system_boot_time_timestamp{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'C')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (windows_cpu_logical_processor{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'D')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(100 * (1 - avg by (instance) (clamp_max(rate(windows_cpu_time_total{job=~"$job", mode="idle"}[$__rate_interval]), 1)))) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'E')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (windows_memory_physical_total_bytes{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'F')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (100 * (1 - windows_memory_physical_free_bytes{job=~"$job"} / windows_memory_physical_total_bytes{job=~"$job"}))) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'G')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (100 * windows_memory_committed_bytes{job=~"$job"} / windows_memory_commit_limit{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'H')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (100 * (1 - windows_logical_disk_free_bytes{job=~"$job", volume!~"HarddiskVolume.*"} / windows_logical_disk_size_bytes{job=~"$job", volume!~"HarddiskVolume.*"}))) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'I')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(sum by (instance) (windows_service_state{job=~"$job", state="running"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'J')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(count by (instance) (windows_service_state{job=~"$job", state="running"} == 0 and on (instance, name) windows_service_start_mode{job=~"$job", start_mode="auto"} == 1)) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'K')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (windows_system_processes{job=~"$job"})) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'L')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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b.query.new('(max by (instance) (100 * (1 - windows_logical_disk_free_bytes{job=~"$job", volume="C:"} / windows_logical_disk_size_bytes{job=~"$job", volume="C:"}))) and on (instance) windows_os_hostname{job=~"$job", hostname=~"$hostname"}', 'M')
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+ b.query.withInstant()
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+ b.query.withFormat('table'),
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])
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+ b.panel.withTransformations([
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{
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group: 'joinByField',
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kind: 'Transformation',
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spec: {
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options: {
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byField: 'instance',
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mode: 'outer',
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},
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},
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},
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{
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group: 'organize',
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kind: 'Transformation',
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spec: {
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options: {
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excludeByName: {
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Time: true,
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'Time 1': true,
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'Time 10': true,
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'Time 11': true,
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'Time 12': true,
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'Time 13': true,
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'Time 2': true,
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'Time 3': true,
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'Time 4': true,
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'Time 5': true,
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'Time 6': true,
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'Time 7': true,
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'Time 8': true,
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'Time 9': true,
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'Value #A': true,
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'Value #B': true,
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},
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includeByName: {},
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indexByName: {
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'Value #C': 4,
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'Value #D': 5,
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'Value #E': 6,
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'Value #F': 7,
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'Value #G': 8,
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'Value #H': 9,
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'Value #I': 11,
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'Value #J': 12,
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'Value #K': 13,
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'Value #L': 14,
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'Value #M': 10,
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hostname: 0,
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instance: 1,
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product: 2,
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version: 3,
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},
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renameByName: {
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'Value #C': 'Uptime',
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'Value #D': 'CPUs',
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'Value #E': 'CPU',
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'Value #F': 'Memory',
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'Value #G': 'Memory used',
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'Value #H': 'Commit used',
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'Value #I': 'Fullest volume',
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'Value #J': 'Services up',
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'Value #K': 'Auto stopped',
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'Value #L': 'Processes',
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'Value #M': 'C: used',
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hostname: 'Hostname',
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instance: 'Instance',
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product: 'OS',
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version: 'Version',
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},
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},
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},
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},
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])
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+ b.panel.withOptions({
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footer: {
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fields: [
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'CPUs',
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'Memory',
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'Processes',
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],
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show: true,
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},
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sortBy: [
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{
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desc: false,
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displayName: 'Hostname',
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},
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],
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})
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+ b.panel.withOverrides([
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{
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matcher: {
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id: 'byName',
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options: 'hostname',
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},
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properties: [
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{
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id: 'links',
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value: [
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{
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title: 'Show details for ${__data.fields.hostname}',
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url: '/d/${__dashboard.uid}?${__url_time_range}&${datasource:queryparam}&${job:queryparam}&var-hostname=$__all&var-instance=${__data.fields.instance}&dtab=Overview',
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},
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],
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},
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{
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id: 'custom.width',
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value: 180,
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},
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{
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id: 'custom.filterable',
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value: true,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #C',
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},
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properties: [
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{
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id: 'unit',
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value: 'dtdurations',
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},
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{
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id: 'custom.width',
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value: 90,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'instance',
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},
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properties: [
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{
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id: 'custom.width',
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value: 140,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'product',
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},
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properties: [
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{
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id: 'custom.width',
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value: 160,
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},
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{
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id: 'custom.filterable',
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value: true,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'version',
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},
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properties: [
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{
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id: 'custom.width',
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value: 100,
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},
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{
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id: 'custom.filterable',
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value: true,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #D',
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},
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properties: [
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{
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id: 'unit',
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value: 'none',
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},
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{
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id: 'custom.width',
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value: 60,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #E',
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},
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properties: [
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{
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id: 'unit',
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value: 'percent',
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},
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{
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id: 'min',
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value: 0,
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},
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{
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id: 'max',
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value: 100,
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},
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{
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id: 'thresholds',
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value: {
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mode: 'absolute',
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steps: [
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{
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color: 'green',
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},
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{
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color: 'orange',
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value: 80,
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},
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{
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color: 'red',
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value: 90,
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},
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],
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},
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},
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{
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id: 'color',
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value: {
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mode: 'continuous-GrYlRd',
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},
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},
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{
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id: 'custom.cellOptions',
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value: {
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mode: 'basic',
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type: 'gauge',
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valueDisplayMode: 'text',
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},
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},
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{
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id: 'decimals',
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value: 1,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #F',
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},
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properties: [
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{
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id: 'unit',
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value: 'bytes',
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},
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{
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id: 'custom.width',
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value: 90,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #G',
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},
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properties: [
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{
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id: 'unit',
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value: 'percent',
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},
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{
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id: 'min',
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value: 0,
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},
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{
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id: 'max',
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value: 100,
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},
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{
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id: 'thresholds',
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value: {
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mode: 'absolute',
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steps: [
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{
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color: 'green',
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},
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{
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color: 'orange',
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value: 80,
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},
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{
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color: 'red',
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value: 90,
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},
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],
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},
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},
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{
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id: 'color',
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value: {
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mode: 'continuous-GrYlRd',
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},
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},
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{
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id: 'custom.cellOptions',
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value: {
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mode: 'basic',
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type: 'gauge',
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valueDisplayMode: 'text',
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},
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},
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{
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id: 'decimals',
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value: 1,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #H',
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},
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properties: [
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{
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id: 'unit',
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value: 'percent',
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},
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{
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id: 'min',
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value: 0,
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},
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{
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id: 'max',
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value: 100,
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},
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|
{
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id: 'thresholds',
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value: {
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|
mode: 'absolute',
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steps: [
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{
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color: 'green',
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},
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{
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color: 'orange',
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value: 80,
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|
},
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{
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color: 'red',
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value: 90,
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},
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],
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},
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},
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{
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id: 'color',
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|
value: {
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|
mode: 'continuous-GrYlRd',
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|
},
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|
},
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|
{
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|
id: 'custom.cellOptions',
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|
value: {
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mode: 'basic',
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|
type: 'gauge',
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|
valueDisplayMode: 'text',
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|
},
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},
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{
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id: 'decimals',
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value: 1,
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},
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],
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},
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{
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matcher: {
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id: 'byName',
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options: 'Value #I',
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},
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properties: [
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{
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|
id: 'unit',
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value: 'percent',
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},
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{
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id: 'min',
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value: 0,
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},
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{
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id: 'max',
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value: 100,
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},
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|
{
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|
id: 'thresholds',
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|
value: {
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mode: 'absolute',
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steps: [
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{
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color: 'green',
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},
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{
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color: 'orange',
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value: 80,
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},
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{
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color: 'red',
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value: 90,
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},
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],
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},
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},
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{
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|
id: 'color',
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|
value: {
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|
mode: 'continuous-GrYlRd',
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|
},
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|
},
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|
{
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|
id: 'custom.cellOptions',
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value: {
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|
mode: 'basic',
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type: 'gauge',
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valueDisplayMode: 'text',
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},
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|
},
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{
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id: 'decimals',
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value: 1,
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|
},
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|
],
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|
},
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|
{
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|
matcher: {
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|
id: 'byName',
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|
options: 'Value #M',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'unit',
|
|
value: 'percent',
|
|
},
|
|
{
|
|
id: 'min',
|
|
value: 0,
|
|
},
|
|
{
|
|
id: 'max',
|
|
value: 100,
|
|
},
|
|
{
|
|
id: 'thresholds',
|
|
value: {
|
|
mode: 'absolute',
|
|
steps: [
|
|
{
|
|
color: 'green',
|
|
},
|
|
{
|
|
color: 'orange',
|
|
value: 80,
|
|
},
|
|
{
|
|
color: 'red',
|
|
value: 90,
|
|
},
|
|
],
|
|
},
|
|
},
|
|
{
|
|
id: 'color',
|
|
value: {
|
|
mode: 'continuous-GrYlRd',
|
|
},
|
|
},
|
|
{
|
|
id: 'custom.cellOptions',
|
|
value: {
|
|
mode: 'basic',
|
|
type: 'gauge',
|
|
valueDisplayMode: 'text',
|
|
},
|
|
},
|
|
{
|
|
id: 'decimals',
|
|
value: 1,
|
|
},
|
|
],
|
|
},
|
|
{
|
|
matcher: {
|
|
id: 'byName',
|
|
options: 'Value #J',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'unit',
|
|
value: 'none',
|
|
},
|
|
],
|
|
},
|
|
{
|
|
matcher: {
|
|
id: 'byName',
|
|
options: 'Value #K',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'unit',
|
|
value: 'none',
|
|
},
|
|
{
|
|
id: 'thresholds',
|
|
value: {
|
|
mode: 'absolute',
|
|
steps: [
|
|
{
|
|
color: 'green',
|
|
},
|
|
{
|
|
color: 'orange',
|
|
value: 1,
|
|
},
|
|
],
|
|
},
|
|
},
|
|
{
|
|
id: 'custom.cellOptions',
|
|
value: {
|
|
type: 'color-text',
|
|
},
|
|
},
|
|
{
|
|
id: 'noValue',
|
|
value: '0',
|
|
},
|
|
],
|
|
},
|
|
{
|
|
matcher: {
|
|
id: 'byName',
|
|
options: 'Value #L',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'unit',
|
|
value: 'none',
|
|
},
|
|
{
|
|
id: 'custom.width',
|
|
value: 90,
|
|
},
|
|
],
|
|
},
|
|
]),
|
|
|
|
b.panel.new(3, 'CPU utilization', 'timeseries')
|
|
+ b.panel.withDescription('Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (100 * (1 - avg by (instance) (clamp_max(rate(windows_cpu_time_total{job=~"$job", mode="idle"}[$__rate_interval]), 1)))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}}'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
max: 100,
|
|
min: 0,
|
|
unit: 'percent',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
}),
|
|
|
|
b.panel.new(4, 'Memory utilization', 'timeseries')
|
|
+ b.panel.withDescription('Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (max by (instance) (100 * (1 - windows_memory_physical_free_bytes{job=~"$job"} / windows_memory_physical_total_bytes{job=~"$job"}))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}}'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
max: 100,
|
|
min: 0,
|
|
unit: 'percent',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
}),
|
|
|
|
b.panel.new(5, 'Fullest volume', 'timeseries')
|
|
+ b.panel.withDescription('Usage of the fullest volume per host. Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (max by (instance) (100 * (1 - windows_logical_disk_free_bytes{job=~"$job", volume!~"HarddiskVolume.*"} / windows_logical_disk_size_bytes{job=~"$job", volume!~"HarddiskVolume.*"}))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}}'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
custom: {
|
|
thresholdsStyle: {
|
|
mode: 'dashed',
|
|
},
|
|
},
|
|
max: 100,
|
|
min: 0,
|
|
thresholds: {
|
|
steps: [
|
|
{
|
|
color: 'green',
|
|
value: null,
|
|
},
|
|
{
|
|
color: 'orange',
|
|
value: 80,
|
|
},
|
|
{
|
|
color: 'red',
|
|
value: 90,
|
|
},
|
|
],
|
|
},
|
|
unit: 'percent',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
}),
|
|
|
|
b.panel.new(6, 'Network throughput', 'timeseries')
|
|
+ b.panel.withDescription('Sum over all interfaces. Received is drawn below the axis. Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (sum by (instance) (rate(windows_net_bytes_sent_total{job=~"$job"}[$__rate_interval]) * 8)) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}} sent'),
|
|
b.query.new('topk(25, (sum by (instance) (rate(windows_net_bytes_received_total{job=~"$job"}[$__rate_interval]) * 8)) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'B')
|
|
+ b.query.withLegendFormat('{{hostname}} received'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
unit: 'bps',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
})
|
|
+ b.panel.withOverrides([
|
|
{
|
|
matcher: {
|
|
id: 'byRegexp',
|
|
options: '.* received$',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'custom.transform',
|
|
value: 'negative-Y',
|
|
},
|
|
],
|
|
},
|
|
]),
|
|
|
|
b.panel.new(9, 'Busiest interface', 'timeseries')
|
|
+ b.panel.withDescription('Utilization of the busiest interface of each host: bytes sent and received per second against its current bandwidth. Unlike the throughput sum, it shows a single saturated interface on a host with several. Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, max by (instance) (rate(windows_net_bytes_total{job=~"$job"}[$__rate_interval]) / (windows_net_current_bandwidth_bytes{job=~"$job"} > 0)) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}}'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
custom: { thresholdsStyle: { mode: 'dashed' } },
|
|
max: 1,
|
|
min: 0,
|
|
thresholds: { steps: b.levels(0.8, 0.9) },
|
|
unit: 'percentunit',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
}),
|
|
|
|
b.panel.new(7, 'Disk throughput', 'timeseries')
|
|
+ b.panel.withDescription('Sum over all volumes. Read is drawn below the axis. Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (sum by (instance) (rate(windows_logical_disk_write_bytes_total{job=~"$job", volume!~"HarddiskVolume.*"}[$__rate_interval]))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}} write'),
|
|
b.query.new('topk(25, (sum by (instance) (rate(windows_logical_disk_read_bytes_total{job=~"$job", volume!~"HarddiskVolume.*"}[$__rate_interval]))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'B')
|
|
+ b.query.withLegendFormat('{{hostname}} read'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
unit: 'Bps',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
})
|
|
+ b.panel.withOverrides([
|
|
{
|
|
matcher: {
|
|
id: 'byRegexp',
|
|
options: '.* read$',
|
|
},
|
|
properties: [
|
|
{
|
|
id: 'custom.transform',
|
|
value: 'negative-Y',
|
|
},
|
|
],
|
|
},
|
|
]),
|
|
|
|
b.panel.new(8, 'Network errors and discards', 'timeseries')
|
|
+ b.panel.withDescription('Sum over all interfaces of received and outbound errors and discards. Shows the 25 highest hosts at each point in time.')
|
|
+ b.panel.withQueries([
|
|
b.query.new('topk(25, (sum by (instance) (rate(windows_net_packets_received_errors_total{job=~"$job"}[$__rate_interval]) + rate(windows_net_packets_received_discarded_total{job=~"$job"}[$__rate_interval]) + rate(windows_net_packets_outbound_errors_total{job=~"$job"}[$__rate_interval]) + rate(windows_net_packets_outbound_discarded_total{job=~"$job"}[$__rate_interval]))) * on (instance) group_left (hostname) max by (instance, hostname) (windows_os_hostname{job=~"$job", hostname=~"$hostname"}))', 'A')
|
|
+ b.query.withLegendFormat('{{hostname}}'),
|
|
])
|
|
+ b.panel.withDefaults({
|
|
min: 0,
|
|
unit: 'pps',
|
|
})
|
|
+ b.panel.withOptions({
|
|
legend: {
|
|
calcs: [],
|
|
displayMode: 'list',
|
|
},
|
|
}),
|
|
]
|
|
)
|