Query's voor de Heartbeat-tabel
Zie de zelfstudie over Log Analytics voor meer informatie over het gebruik van deze query's in Azure Portal. Zie Query voor de REST API.
Heartbeats tellen
Tel alle heartbeats van alle computers uit het afgelopen uur.
// Count computers heartbeats in the last hour.
// Normally, agents on VMs generate Heartbeat event every minute.
Heartbeat
| where TimeGenerated > ago(1h)
| summarize count() by Computer
Laatste heartbeat van elke computer
De laatste heartbeat weergeven die door elke computer is verzonden.
// Last heartbeat of each computer
// Show the last heartbeat sent by each computer.
Heartbeat
| summarize arg_max(TimeGenerated, *) by Computer
Pieken in opnamelatentie (end-to-end) - Heartbeat-tabel
Controleer in de afgelopen 24 uur op latentiepieken in de opname van Heartbeats.
// Ingestion latency (end-to-end) spikes - Heartbeat table
// Check for latency spikes in the ingestion of Heartbeats in the last 24 hour.
// This query calculates ingestion duration every 10 minutes, and looks for spikes
let StartTime = ago(24h);
let EndTime = now();
let MinRSquare = 0.9; // Tune the sensitivity of the detection sensor. Higher numbers make the detector more sensitive
Heartbeat
| where TimeGenerated between (StartTime .. EndTime)
// calculate ingestion duration in seconds
| extend IngestionDurationSeconds = (ingestion_time()-TimeGenerated)/1s
// Create a time series
| make-series RatioSeries=avg(IngestionDurationSeconds) default=0 on TimeGenerated in range(StartTime , EndTime,10m)
// Apply a 2-line regression to the time series
| extend (RSquare2, SplitIdx, Variance2, RVariance2, LineFit2) = series_fit_2lines(RatioSeries)
// Find out if our 2-line is trending up or down
|extend (Slope, Interception, RSquare, Variance, RVariance, LineFit) = series_fit_line(LineFit2)
// Check whether the line fit reaches the threshold, and if the spike represents an increase (rather than a decrease)
| project PatternMatch = iff(RSquare2 > MinRSquare and Slope>0, "Spike detected", "No spike")
Pieken in agentlatentie - Heartbeat-tabel
Controleer op pieken in de opname van heartbeats in de afgelopen 24 uur voor agentlatentie.
// Agent latency spikes - Heartbeat table
// Check for agent latency spikes in the ingestion of Heartbeats in the last 24 hour.
// This query calculates ingestion duration every 10 minutes, and looks for spikes
let StartTime = ago(24h);
let EndTime = now();
let MinRSquare = 0.9; // Tune the sensitivity of the detection sensor. Higher numbers make the detector more sensitive
Heartbeat
| where TimeGenerated between (StartTime .. EndTime)
// calculate ingestion duration in seconds
| extend AgentLatencySeconds = (_TimeReceived-TimeGenerated)/1s
// Create a time series
| make-series RatioSeries=avg(AgentLatencySeconds) default=0 on TimeGenerated in range(StartTime , EndTime,10m)
// Apply a 2-line regression to the time series
| extend (RSquare2, SplitIdx, Variance2, RVariance2, LineFit2) = series_fit_2lines(RatioSeries)
// Find out if our 2-line is trending up or down
|extend (Slope, Interception, RSquare, Variance, RVariance, LineFit) = series_fit_line(LineFit2)
// Check whether the line fit reaches the threshold, and if the spike represents an increase (rather than a decrease)
| project PatternMatch = iff(RSquare2 > MinRSquare and Slope>0, "Spike detected", "No spike")
Onlangs gestopte heartbeats - Heartbeat-tabel
Hier vindt u resources die in de afgelopen 15 minuten geen heartbeats meer hebben verzonden.
// Resources, which stopped sending heartbeats in last 15 minutes
Heartbeat
| summarize LastReported=now()-max(TimeGenerated) by ResourceGroup, Resource, ResourceType
// Assuming that heartbeats are sent at least every minute we are looking at 1-15 minute interval
| where LastReported between(1m..15m)
Beschikbaarheid van computers vandaag
Grafiek het aantal computers dat logboeken verzendt, elk uur.
Heartbeat
| summarize dcount(ComputerIP) by bin(TimeGenerated, 1h)
| render timechart
Niet-beschikbare computers
Vermeld alle bekende computers die de afgelopen 5 uur geen heartbeat hebben verzonden.
Heartbeat
| summarize LastHeartbeat=max(TimeGenerated) by Computer
| where LastHeartbeat < ago(5h)
Beschikbaarheidsfrequentie
Bereken de beschikbaarheidsfrequentie van elke verbonden computer.
Heartbeat
// bin_at is used to set the time grain to 1 hour, starting exactly 24 hours ago
| summarize heartbeatPerHour = count() by bin_at(TimeGenerated, 1h, ago(24h)), Computer
| extend availablePerHour = iff(heartbeatPerHour > 0, true, false)
| summarize totalAvailableHours = countif(availablePerHour == true) by Computer
| extend availabilityRate = totalAvailableHours*100.0/24
Vm's rapporteren niet
VM's die in de afgelopen 5 minuten geen heartbeat hebben gerapporteerd.
// To create an alert for this query, click '+ New alert rule'
Heartbeat
| where TimeGenerated > ago(24h)
| summarize LastCall = max(TimeGenerated) by Computer, _ResourceId
| where LastCall < ago(5m)
Lijst met computers
Lijst met computers waarop Azure Updatebeheer is geïmplementeerd.
Heartbeat
| where TimeGenerated>ago(12h) and OSType=="Linux" and notempty(Computer)
| summarize arg_max(TimeGenerated, Solutions, Computer, ResourceId, ComputerEnvironment, VMUUID) by SourceComputerId
| where Solutions has "updates"
| extend vmuuId=VMUUID, azureResourceId=ResourceId, osType=1, environment=iff(ComputerEnvironment=~"Azure", 1, 2), scopedToUpdatesSolution=true, lastUpdateAgentSeenTime=""
| join kind=leftouter
(
Update
| where TimeGenerated>ago(5h) and OSType=="Linux" and SourceComputerId in ((Heartbeat
| where TimeGenerated>ago(12h) and OSType=="Linux" and notempty(Computer)
| summarize arg_max(TimeGenerated, Solutions) by SourceComputerId
| where Solutions has "updates"
| distinct SourceComputerId))
| summarize hint.strategy=partitioned arg_max(TimeGenerated, UpdateState, Classification, Product, Computer, ComputerEnvironment) by SourceComputerId, Product, ProductArch
| summarize Computer=any(Computer), ComputerEnvironment=any(ComputerEnvironment), missingCriticalUpdatesCount=countif(Classification has "Critical" and UpdateState=~"Needed"), missingSecurityUpdatesCount=countif(Classification has "Security" and UpdateState=~"Needed"), missingOtherUpdatesCount=countif(Classification !has "Critical" and Classification !has "Security" and UpdateState=~"Needed"), lastAssessedTime=max(TimeGenerated), lastUpdateAgentSeenTime="" by SourceComputerId
| extend compliance=iff(missingCriticalUpdatesCount > 0 or missingSecurityUpdatesCount > 0, 2, 1)
| extend ComplianceOrder=iff(missingCriticalUpdatesCount > 0 or missingSecurityUpdatesCount > 0 or missingOtherUpdatesCount > 0, 1, 3)
)
on SourceComputerId
| project id=SourceComputerId, displayName=Computer, sourceComputerId=SourceComputerId, scopedToUpdatesSolution=true, missingCriticalUpdatesCount=coalesce(missingCriticalUpdatesCount, -1), missingSecurityUpdatesCount=coalesce(missingSecurityUpdatesCount, -1), missingOtherUpdatesCount=coalesce(missingOtherUpdatesCount, -1), compliance=coalesce(compliance, 4), lastAssessedTime, lastUpdateAgentSeenTime, osType=1, environment=iff(ComputerEnvironment=~"Azure", 1, 2), ComplianceOrder=coalesce(ComplianceOrder, 2)
| union(Heartbeat
| where TimeGenerated>ago(12h) and OSType=~"Windows" and notempty(Computer)
| summarize arg_max(TimeGenerated, Solutions, Computer, ResourceId, ComputerEnvironment, VMUUID) by SourceComputerId
| where Solutions has "updates"
| extend vmuuId=VMUUID, azureResourceId=ResourceId, osType=2, environment=iff(ComputerEnvironment=~"Azure", 1, 2), scopedToUpdatesSolution=true, lastUpdateAgentSeenTime=""
| join kind=leftouter
(
Update
| where TimeGenerated>ago(14h) and OSType!="Linux" and SourceComputerId in ((Heartbeat
| where TimeGenerated>ago(12h) and OSType=~"Windows" and notempty(Computer)
| summarize arg_max(TimeGenerated, Solutions) by SourceComputerId
| where Solutions has "updates"
| distinct SourceComputerId))
| summarize hint.strategy=partitioned arg_max(TimeGenerated, UpdateState, Classification, Title, Optional, Approved, Computer, ComputerEnvironment) by Computer, SourceComputerId, UpdateID
| summarize Computer=any(Computer), ComputerEnvironment=any(ComputerEnvironment), missingCriticalUpdatesCount=countif(Classification has "Critical" and UpdateState=~"Needed" and Approved!=false), missingSecurityUpdatesCount=countif(Classification has "Security" and UpdateState=~"Needed" and Approved!=false), missingOtherUpdatesCount=countif(Classification !has "Critical" and Classification !has "Security" and UpdateState=~"Needed" and Optional==false and Approved!=false), lastAssessedTime=max(TimeGenerated), lastUpdateAgentSeenTime="" by SourceComputerId
| extend compliance=iff(missingCriticalUpdatesCount > 0 or missingSecurityUpdatesCount > 0, 2, 1)
| extend ComplianceOrder=iff(missingCriticalUpdatesCount > 0 or missingSecurityUpdatesCount > 0 or missingOtherUpdatesCount > 0, 1, 3)
)
on SourceComputerId
| project id=SourceComputerId, displayName=Computer, sourceComputerId=SourceComputerId, scopedToUpdatesSolution=true, missingCriticalUpdatesCount=coalesce(missingCriticalUpdatesCount, -1), missingSecurityUpdatesCount=coalesce(missingSecurityUpdatesCount, -1), missingOtherUpdatesCount=coalesce(missingOtherUpdatesCount, -1), compliance=coalesce(compliance, 4), lastAssessedTime, lastUpdateAgentSeenTime, osType=2, environment=iff(ComputerEnvironment=~"Azure", 1, 2), ComplianceOrder=coalesce(ComplianceOrder, 2))
| order by ComplianceOrder asc, missingCriticalUpdatesCount desc, missingSecurityUpdatesCount desc, missingOtherUpdatesCount desc, displayName asc
| project-away ComplianceOrder
Zoeken in heartbeat
Zoek in Heartbeat om te zoeken naar een specifieke waarde in de Heartbeat-tabel./nNote dat voor deze query de <SeachValue-parameter> moet worden bijgewerkt om resultaten te produceren
// This query requires a parameter to run. Enter value in SearchValue to find in table.
let SearchValue = "<SearchValue>";//Please update term you would like to find in the table.
Heartbeat
| where * contains tostring(SearchValue)
| take 1000