Queries for the Heartbeat table

Artikel
09/17/2024

For information on using these queries in the Azure portal, see Log Analytics tutorial. For the REST API, see Query.

Count heartbeats

Count all computers heartbeats from the last hour.

// 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

Last heartbeat of each computer

Show the last heartbeat sent by each computer.

// Last heartbeat of each computer 
// Show the last heartbeat sent by each computer. 
Heartbeat
| summarize arg_max(TimeGenerated, *) by Computer

Ingestion latency (end-to-end) spikes - Heartbeat table

Check for latency spikes in the ingestion of Heartbeats in the last 24 hours.

// 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")

Agent latency spikes - Heartbeat table

Check for agent latency spikes in the ingestion of Heartbeats in the last 24 hours.

// 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")

Recently stopped heartbeats - Heartbeat table

Lists resources that stopped sending heartbeats in past 15 minutes.

// 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)

Computers availability today

Chart the number of computers sending logs, each hour.

Heartbeat
| summarize dcount(ComputerIP) by bin(TimeGenerated, 1h)
| render timechart

Unavailable computers

List all known computers that didn't send a heartbeat in the last 5 hours.

Heartbeat
| summarize LastHeartbeat=max(TimeGenerated) by Computer
| where LastHeartbeat < ago(5h)

Availability rate

Calculate the availability rate of each connected 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

Not reporting VMs

VMs that have not reported a heartbeat in the last 5 minutes.

// 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)

Computers list

List of computers with Azure Update Management deployed.

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

Find In Heartbeat

Find in Heartbeat to search for a specific value in the Heartbeat table./nNote that this query requires updating the <SeachValue> parameter to produce results

// 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

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