mirror of
https://github.com/fleetdm/fleet
synced 2026-04-21 13:37:30 +00:00
Website: Add number metrics to send-aggregated-metrics-to-datadog script (#26031)
Related to: #25869 Changes: - Updated `send-aggregated-metrics-to-datadog` to send aggregated metrics for number metrics reported by Fleet instances.
This commit is contained in:
Eric
GitHub
parent
5c5fc1cf1b
commit
232f1ac4c2
1 changed files with 461 additions and 25 deletions
|
|
@ -73,7 +73,16 @@ module.exports = {
|
|||
return _.startsWith(statistics.fleetVersion, '4.');
|
||||
});
|
||||
let numberOfInstancesToReport = latestStatisticsReportedByReleasedFleetVersions.length;
|
||||
// Build aggregated metrics for JSON attrributes
|
||||
|
||||
|
||||
//
|
||||
// ██╗███████╗ ██████╗ ███╗ ██╗ ███╗ ███╗███████╗████████╗██████╗ ██╗ ██████╗███████╗
|
||||
// ██║██╔════╝██╔═══██╗████╗ ██║ ████╗ ████║██╔════╝╚══██╔══╝██╔══██╗██║██╔════╝██╔════╝
|
||||
// ██║███████╗██║ ██║██╔██╗ ██║ ██╔████╔██║█████╗ ██║ ██████╔╝██║██║ ███████╗
|
||||
// ██ ██║╚════██║██║ ██║██║╚██╗██║ ██║╚██╔╝██║██╔══╝ ██║ ██╔══██╗██║██║ ╚════██║
|
||||
// ╚█████╔╝███████║╚██████╔╝██║ ╚████║ ██║ ╚═╝ ██║███████╗ ██║ ██║ ██║██║╚██████╗███████║
|
||||
// ╚════╝ ╚══════╝ ╚═════╝ ╚═╝ ╚═══╝ ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═════╝╚══════╝
|
||||
//
|
||||
// Create an empty object to store combined host counts.
|
||||
let combinedHostsEnrolledByOperatingSystem = {};
|
||||
// Get an array of the last reported hostsEnrolledByOperatingSystem values.
|
||||
|
|
@ -208,7 +217,21 @@ module.exports = {
|
|||
});
|
||||
}//∞
|
||||
|
||||
|
||||
//
|
||||
// ███████╗████████╗██████╗ ██╗███╗ ██╗ ██████╗
|
||||
// ██╔════╝╚══██╔══╝██╔══██╗██║████╗ ██║██╔════╝
|
||||
// ███████╗ ██║ ██████╔╝██║██╔██╗ ██║██║ ███╗
|
||||
// ╚════██║ ██║ ██╔══██╗██║██║╚██╗██║██║ ██║
|
||||
// ███████║ ██║ ██║ ██║██║██║ ╚████║╚██████╔╝
|
||||
// ╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝╚═╝ ╚═══╝ ╚═════╝
|
||||
//
|
||||
// ███╗ ███╗███████╗████████╗██████╗ ██╗ ██████╗███████╗
|
||||
// ████╗ ████║██╔════╝╚══██╔══╝██╔══██╗██║██╔════╝██╔════╝
|
||||
// ██╔████╔██║█████╗ ██║ ██████╔╝██║██║ ███████╗
|
||||
// ██║╚██╔╝██║██╔══╝ ██║ ██╔══██╗██║██║ ╚════██║
|
||||
// ██║ ╚═╝ ██║███████╗ ██║ ██║ ██║██║╚██████╗███████║
|
||||
// ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═════╝╚══════╝
|
||||
//
|
||||
// Build a metric for each Fleet version reported.
|
||||
let statisticsByReportedFleetVersion = _.groupBy(latestStatisticsReportedByReleasedFleetVersions, 'fleetVersion');
|
||||
for(let version in statisticsByReportedFleetVersion){
|
||||
|
|
@ -237,7 +260,23 @@ module.exports = {
|
|||
tags: [`license_tier:${tier}`],
|
||||
});
|
||||
}
|
||||
// Build aggregated metrics for boolean variables:
|
||||
|
||||
|
||||
//
|
||||
// ██████╗ ██████╗ ██████╗ ██╗ ███████╗ █████╗ ███╗ ██╗
|
||||
// ██╔══██╗██╔═══██╗██╔═══██╗██║ ██╔════╝██╔══██╗████╗ ██║
|
||||
// ██████╔╝██║ ██║██║ ██║██║ █████╗ ███████║██╔██╗ ██║
|
||||
// ██╔══██╗██║ ██║██║ ██║██║ ██╔══╝ ██╔══██║██║╚██╗██║
|
||||
// ██████╔╝╚██████╔╝╚██████╔╝███████╗███████╗██║ ██║██║ ╚████║
|
||||
// ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚══════╝╚═╝ ╚═╝╚═╝ ╚═══╝
|
||||
//
|
||||
// ███╗ ███╗███████╗████████╗██████╗ ██╗ ██████╗███████╗
|
||||
// ████╗ ████║██╔════╝╚══██╔══╝██╔══██╗██║██╔════╝██╔════╝
|
||||
// ██╔████╔██║█████╗ ██║ ██████╔╝██║██║ ███████╗
|
||||
// ██║╚██╔╝██║██╔══╝ ██║ ██╔══██╗██║██║ ╚════██║
|
||||
// ██║ ╚═╝ ██║███████╗ ██║ ██║ ██║██║╚██████╗███████║
|
||||
// ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═════╝╚══════╝
|
||||
//
|
||||
// Software Inventory
|
||||
let numberOfInstancesWithSoftwareInventoryEnabled = _.where(latestStatisticsReportedByReleasedFleetVersions, {softwareInventoryEnabled: true}).length;
|
||||
let numberOfInstancesWithSoftwareInventoryDisabled = numberOfInstancesToReport - numberOfInstancesWithSoftwareInventoryEnabled;
|
||||
|
|
@ -470,6 +509,22 @@ module.exports = {
|
|||
tags: [`configured:false`],
|
||||
});
|
||||
|
||||
|
||||
//
|
||||
// ███╗ ██╗██╗ ██╗███╗ ███╗██████╗ ███████╗██████╗
|
||||
// ████╗ ██║██║ ██║████╗ ████║██╔══██╗██╔════╝██╔══██╗
|
||||
// ██╔██╗ ██║██║ ██║██╔████╔██║██████╔╝█████╗ ██████╔╝
|
||||
// ██║╚██╗██║██║ ██║██║╚██╔╝██║██╔══██╗██╔══╝ ██╔══██╗
|
||||
// ██║ ╚████║╚██████╔╝██║ ╚═╝ ██║██████╔╝███████╗██║ ██║
|
||||
// ╚═╝ ╚═══╝ ╚═════╝ ╚═╝ ╚═╝╚═════╝ ╚══════╝╚═╝ ╚═╝
|
||||
//
|
||||
// ███╗ ███╗███████╗████████╗██████╗ ██╗ ██████╗███████╗
|
||||
// ████╗ ████║██╔════╝╚══██╔══╝██╔══██╗██║██╔════╝██╔════╝
|
||||
// ██╔████╔██║█████╗ ██║ ██████╔╝██║██║ ███████╗
|
||||
// ██║╚██╔╝██║██╔══╝ ██║ ██╔══██╗██║██║ ╚════██║
|
||||
// ██║ ╚═╝ ██║███████╗ ██║ ██║ ██║██║╚██████╗███████║
|
||||
// ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═════╝╚══════╝
|
||||
//
|
||||
// Create two metrics to track total number of hosts reported in the last week.
|
||||
let totalNumberOfHostsReportedByPremiumInstancesInTheLastWeek = _.sum(_.pluck(_.filter(latestStatisticsReportedByReleasedFleetVersions, {licenseTier: 'premium'}), 'numHostsEnrolled'));
|
||||
metricsToReport.push({
|
||||
|
|
@ -493,30 +548,411 @@ module.exports = {
|
|||
tags: [`license_tier:free`],
|
||||
});
|
||||
|
||||
// FUTURE: Uncomment the section below to send metrics about reported number of queries to Datadog.
|
||||
// let fleetInstancesThatReportedNumQueries = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
// return statistics.numQueries > 0;
|
||||
// });
|
||||
// numUsers
|
||||
let fleetInstancesThatReportedNumUsers = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numUsers > 0;
|
||||
});
|
||||
|
||||
// let averageNumberOfQueries = Math.foor(_.sum(_.pluck(fleetInstancesThatReportedNumQueries, 'numQueries')) / fleetInstancesThatReportedNumQueries.length);
|
||||
// metricsToReport.push({
|
||||
// metric: 'usage_statistics.avg_num_queries',
|
||||
// type: 3,
|
||||
// points: [{
|
||||
// timestamp: timestampForTheseMetrics,
|
||||
// value: averageNumberOfQueries
|
||||
// }],
|
||||
// });
|
||||
let averageNumberOfUsers = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumUsers, 'numUsers')) / fleetInstancesThatReportedNumUsers.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_users',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfUsers
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfUsers = _.max(_.pluck(fleetInstancesThatReportedNumUsers, 'numUsers'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_users',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfUsers
|
||||
}],
|
||||
});
|
||||
|
||||
// numTeams
|
||||
let fleetInstancesThatReportedNumTeams = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numTeams > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfTeams = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumTeams, 'numTeams')) / fleetInstancesThatReportedNumTeams.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_teams',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfTeams
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfTeams = _.max(_.pluck(fleetInstancesThatReportedNumTeams, 'numTeams'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_teams',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfTeams
|
||||
}],
|
||||
});
|
||||
|
||||
// numPolicies
|
||||
let fleetInstancesThatReportedNumPolicies = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numPolicies > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfPolicies = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumPolicies, 'numPolicies')) / fleetInstancesThatReportedNumPolicies.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_policies',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfPolicies
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfPolicies = _.max(_.pluck(fleetInstancesThatReportedNumPolicies, 'numPolicies'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_policies',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfPolicies
|
||||
}],
|
||||
});
|
||||
|
||||
// numLabels
|
||||
let fleetInstancesThatReportedNumLabels = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numLabels > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfLabels = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumLabels, 'numLabels')) / fleetInstancesThatReportedNumLabels.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_labels',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfLabels
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfLabels = _.max(_.pluck(fleetInstancesThatReportedNumLabels, 'numLabels'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_labels',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfLabels
|
||||
}],
|
||||
});
|
||||
|
||||
// numWeeklyActiveUsers
|
||||
let fleetInstancesThatReportedNumWeeklyActiveUsers = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numWeeklyActiveUsers > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfWeeklyActiveUsers = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumWeeklyActiveUsers, 'numWeeklyActiveUsers')) / fleetInstancesThatReportedNumWeeklyActiveUsers.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_weekly_active_users',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfWeeklyActiveUsers
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfWeeklyActiveUsers = _.max(_.pluck(fleetInstancesThatReportedNumWeeklyActiveUsers, 'numWeeklyActiveUsers'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_weekly_active_users',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfWeeklyActiveUsers
|
||||
}],
|
||||
});
|
||||
|
||||
// numWeeklyPolicyViolationDaysActual
|
||||
let fleetInstancesThatReportedNumWeeklyPolicyViolationDaysActual = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numWeeklyPolicyViolationDaysActual > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfWeeklyPolicyViolationDaysActual = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumWeeklyPolicyViolationDaysActual, 'numWeeklyPolicyViolationDaysActual')) / fleetInstancesThatReportedNumWeeklyPolicyViolationDaysActual.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_weekly_policy_violation_days_actual',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfWeeklyPolicyViolationDaysActual
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfWeeklyPolicyViolationDaysActual = _.max(_.pluck(fleetInstancesThatReportedNumWeeklyPolicyViolationDaysActual, 'numWeeklyPolicyViolationDaysActual'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_weekly_policy_violation_days_actual',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfWeeklyPolicyViolationDaysActual
|
||||
}],
|
||||
});
|
||||
|
||||
|
||||
// numWeeklyPolicyViolationDaysPossible
|
||||
let fleetInstancesThatReportedNumWeeklyPolicyViolationDaysPossible = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numWeeklyPolicyViolationDaysPossible > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfWeeklyPolicyViolationDaysPossible = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumWeeklyPolicyViolationDaysPossible, 'numWeeklyPolicyViolationDaysPossible')) / fleetInstancesThatReportedNumWeeklyPolicyViolationDaysPossible.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_weekly_policy_violation_days_possible',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfWeeklyPolicyViolationDaysPossible
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfWeeklyPolicyViolationDaysPossible = _.max(_.pluck(fleetInstancesThatReportedNumWeeklyPolicyViolationDaysPossible, 'numWeeklyPolicyViolationDaysPossible'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_weekly_policy_violation_days_possible',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfWeeklyPolicyViolationDaysPossible
|
||||
}],
|
||||
});
|
||||
|
||||
// numHostsNotResponding
|
||||
let fleetInstancesThatReportedNumHostsNotResponding = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numHostsNotResponding > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfHostsNotResponding = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumHostsNotResponding, 'numHostsNotResponding')) / fleetInstancesThatReportedNumHostsNotResponding.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_hosts_not_responding',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfHostsNotResponding
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfHostsNotResponding = _.max(_.pluck(fleetInstancesThatReportedNumHostsNotResponding, 'numHostsNotResponding'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_hosts_not_responding',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfHostsNotResponding
|
||||
}],
|
||||
});
|
||||
|
||||
// numSoftwareVersions
|
||||
let fleetInstancesThatReportedNumSoftwareVersions = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numSoftwareVersions > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfSoftwareVersions = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumSoftwareVersions, 'numSoftwareVersions')) / fleetInstancesThatReportedNumSoftwareVersions.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_software_versions',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfSoftwareVersions
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfSoftwareVersions = _.max(_.pluck(fleetInstancesThatReportedNumSoftwareVersions, 'numSoftwareVersions'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_software_versions',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfSoftwareVersions
|
||||
}],
|
||||
});
|
||||
|
||||
// numHostSoftwares
|
||||
let fleetInstancesThatReportedNumHostSoftware = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numHostSoftwares > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfHostSoftware = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumHostSoftware, 'numHostSoftwares')) / fleetInstancesThatReportedNumHostSoftware.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_host_software',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfHostSoftware
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfHostSoftware = _.max(_.pluck(fleetInstancesThatReportedNumHostSoftware, 'numHostSoftwares'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_host_software',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfHostSoftware
|
||||
}],
|
||||
});
|
||||
|
||||
|
||||
// numSoftwareTitles
|
||||
let fleetInstancesThatReportedNumSoftwareTitles = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numSoftwareTitles > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfSoftwareTitles = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumSoftwareTitles, 'numSoftwareTitles')) / fleetInstancesThatReportedNumSoftwareTitles.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_software_titles',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfSoftwareTitles
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfSoftwareTitles = _.max(_.pluck(fleetInstancesThatReportedNumSoftwareTitles, 'numSoftwareTitles'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_software_titles',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfSoftwareTitles
|
||||
}],
|
||||
});
|
||||
|
||||
|
||||
// numHostSoftwareInstalledPaths
|
||||
let fleetInstancesThatReportedNumHostSoftwareInstalledPaths = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numHostSoftwareInstalledPaths > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfSoftwareInstalledPaths = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumHostSoftwareInstalledPaths, 'numHostSoftwareInstalledPaths')) / fleetInstancesThatReportedNumHostSoftwareInstalledPaths.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_software_installed_paths',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfSoftwareInstalledPaths
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfSoftwareInstalledPaths = _.max(_.pluck(fleetInstancesThatReportedNumHostSoftwareInstalledPaths, 'numHostSoftwareInstalledPaths'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_software_installed_paths',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfSoftwareInstalledPaths
|
||||
}],
|
||||
});
|
||||
|
||||
// numSoftwareCPEs
|
||||
let fleetInstancesThatReportedNumSoftwareCPEs = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numSoftwareCPEs > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfSoftwareCPEs = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumSoftwareCPEs, 'numSoftwareCPEs')) / fleetInstancesThatReportedNumSoftwareCPEs.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_software_cpes',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfSoftwareCPEs
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfSoftwareCPEs = _.max(_.pluck(fleetInstancesThatReportedNumSoftwareCPEs, 'numSoftwareCPEs'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_software_cpes',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfSoftwareCPEs
|
||||
}],
|
||||
});
|
||||
|
||||
|
||||
// numSoftwareCVEs
|
||||
let fleetInstancesThatReportedNumSoftwareCVEs = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numSoftwareCVEs > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfSoftwareCVEs = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumSoftwareCVEs, 'numSoftwareCVEs')) / fleetInstancesThatReportedNumSoftwareCVEs.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_software_cves',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfSoftwareCVEs
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfSoftwareCVEs = _.max(_.pluck(fleetInstancesThatReportedNumSoftwareCVEs, 'numSoftwareCVEs'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_software_cves',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfSoftwareCVEs
|
||||
}],
|
||||
});
|
||||
|
||||
|
||||
// numHostsFleetDesktopEnabled
|
||||
let fleetInstancesThatReportedNumHostsFleetDesktopEnabled = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numHostsFleetDesktopEnabled > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfHostsFleetDesktopEnabled = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumHostsFleetDesktopEnabled, 'numHostsFleetDesktopEnabled')) / fleetInstancesThatReportedNumHostsFleetDesktopEnabled.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_hosts_fleet_desktop_enabled',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfHostsFleetDesktopEnabled
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfHostsFleetDesktopEnabled = _.max(_.pluck(fleetInstancesThatReportedNumHostsFleetDesktopEnabled, 'numHostsFleetDesktopEnabled'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_hosts_fleet_desktop_enabled',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfHostsFleetDesktopEnabled
|
||||
}],
|
||||
});
|
||||
|
||||
// numQueries
|
||||
let fleetInstancesThatReportedNumQueries = _.filter(latestStatisticsReportedByReleasedFleetVersions, (statistics)=>{
|
||||
return statistics.numQueries > 0;
|
||||
});
|
||||
|
||||
let averageNumberOfQueries = Math.floor(_.sum(_.pluck(fleetInstancesThatReportedNumQueries, 'numQueries')) / fleetInstancesThatReportedNumQueries.length);
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.avg_num_queries',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: averageNumberOfQueries
|
||||
}],
|
||||
});
|
||||
|
||||
let highestNumberOfQueries = _.max(_.pluck(fleetInstancesThatReportedNumQueries, 'numQueries'));
|
||||
metricsToReport.push({
|
||||
metric: 'usage_statistics.max_num_queries',
|
||||
type: 1,
|
||||
points: [{
|
||||
timestamp: timestampForTheseMetrics,
|
||||
value: highestNumberOfQueries
|
||||
}],
|
||||
});
|
||||
|
||||
// let highestNumberOfQueries = _.max(_.pluck(fleetInstancesThatReportedNumQueries, 'numQueries'));
|
||||
// metricsToReport.push({
|
||||
// metric: 'usage_statistics.max_num_queries',
|
||||
// type: 3,
|
||||
// points: [{
|
||||
// timestamp: timestampForTheseMetrics,
|
||||
// value: highestNumberOfQueries
|
||||
// }],
|
||||
// });
|
||||
|
||||
// Break the metrics into smaller arrays to ensure we don't exceed Datadog's 512 kb request body limit.
|
||||
let chunkedMetrics = _.chunk(metricsToReport, 500);// Note: 500 stringified JSON metrics is ~410 kb.
|
||||
|
|
|
|||
Loading…
Reference in a new issue