Amazon CloudWatch provides monitoring and observability for AWS resources and applications. It collects metrics, logs, and events, enabling you to monitor, troubleshoot, and optimize your AWS environment.
Table of Contents
- Core Concepts
- Common Patterns
- CLI Reference
- Best Practices
- Troubleshooting
- References
Core Concepts
Metrics
Time-ordered data points published to CloudWatch. Key components:
- Namespace: Container for metrics (e.g.,
AWS/Lambda) - Metric name: Name of the measurement (e.g.,
Invocations) - Dimensions: Name-value pairs for filtering (e.g.,
FunctionName=MyFunc) - Statistics: Aggregations (Sum, Average, Min, Max, SampleCount, pN)
Logs
Log data from AWS services and applications:
- Log groups: Collections of log streams
- Log streams: Sequences of log events from same source
- Log events: Individual log entries with timestamp and message
Alarms
Automated actions based on metric thresholds:
- States: OK, ALARM, INSUFFICIENT_DATA
- Actions: SNS notifications, Lambda functions, Auto Scaling, EC2 actions, Systems Manager OpsItems
- Types: metric (incl. metric math, anomaly detection, Metrics Insights), composite, log (scheduled Logs Insights query evaluated M-out-of-N on query results)
- Mute rules: scheduled windows that mute actions while alarms keep evaluating
Common Patterns
Create a Metric Alarm
AWS CLI:
# CPU utilization alarm for EC2
aws cloudwatch put-metric-alarm \
--alarm-name "HighCPU-i-1234567890abcdef0" \
--metric-name CPUUtilization \
--namespace AWS/EC2 \
--statistic Average \
--period 300 \
--threshold 80 \
--comparison-operator GreaterThanThreshold \
--evaluation-periods 2 \
--dimensions Name=InstanceId,Value=i-1234567890abcdef0 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:alerts \
--ok-actions arn:aws:sns:us-east-1:123456789012:alerts
boto3:
import boto3
cloudwatch = boto3.client('cloudwatch')
cloudwatch.put_metric_alarm(
AlarmName='HighCPU-i-1234567890abcdef0',
MetricName='CPUUtilization',
Namespace='AWS/EC2',
Statistic='Average',
Period=300,
Threshold=80.0,
ComparisonOperator='GreaterThanThreshold',
EvaluationPeriods=2,
Dimensions=[
{'Name': 'InstanceId', 'Value': 'i-1234567890abcdef0'}
],
AlarmActions=['arn:aws:sns:us-east-1:123456789012:alerts'],
OKActions=['arn:aws:sns:us-east-1:123456789012:alerts']
)
Lambda Error Rate Alarm
aws cloudwatch put-metric-alarm \
--alarm-name "LambdaErrorRate-MyFunction" \
--metrics '[
{
"Id": "errors",
"MetricStat": {
"Metric": {
"Namespace": "AWS/Lambda",
"MetricName": "Errors",
"Dimensions": [{"Name": "FunctionName", "Value": "MyFunction"}]
},
"Period": 60,
"Stat": "Sum"
},
"ReturnData": false
},
{
"Id": "invocations",
"MetricStat": {
"Metric": {
"Namespace": "AWS/Lambda",
"MetricName": "Invocations",
"Dimensions": [{"Name": "FunctionName", "Value": "MyFunction"}]
},
"Period": 60,
"Stat": "Sum"
},
"ReturnData": false
},
{
"Id": "errorRate",
"Expression": "errors/invocations*100",
"Label": "Error Rate",
"ReturnData": true
}
]' \
--threshold 5 \
--comparison-operator GreaterThanThreshold \
--evaluation-periods 3 \
--alarm-actions arn:aws:sns:us-east-1:123456789012:alerts
Query Logs with Insights
# Find errors in Lambda logs
aws logs start-query \
--log-group-name /aws/lambda/MyFunction \
--start-time $(date -d '1 hour ago' +%s) \
--end-time $(date +%s) \
--query-string '
fields @timestamp, @message
| filter @message like /ERROR/
| sort @timestamp desc
| limit 50
'
# Get query results
aws logs get-query-results --query-id <query-id>
boto3:
import boto3
import time
logs = boto3.client('logs')
# Start query
response = logs.start_query(
logGroupName='/aws/lambda/MyFunction',
startTime=int(time.time()) - 3600,
endTime=int(time.time()),
queryString='''
fields @timestamp, @message
| filter @message like /ERROR/
| sort @timestamp desc
| limit 50
'''
)
query_id = response['queryId']
# Wait for results
while True:
result = logs.get_query_results(queryId=query_id)
if result['status'] == 'Complete':
break
time.sleep(1)
for row in result['results']:
print(row)
Create Metric Filter
Extract metrics from log patterns:
# Create metric filter for error count
aws logs put-metric-filter \
--log-group-name /aws/lambda/MyFunction \
--filter-name ErrorCount \
--filter-pattern "ERROR" \
--metric-transformations \
metricName=ErrorCount,metricNamespace=MyApp,metricValue=1,defaultValue=0
Create a Log Alarm
Alarm directly on a Logs Insights query (no metric filter needed). CloudWatch creates and manages the underlying scheduled query. The ScheduledQueryRoleARN role must trust logs.amazonaws.com and allow logs:StartQuery and logs:GetQueryResults on the log group ARNs, plus logs:StopQuery and logs:DescribeLogGroups on "Resource": "*" (these two support no resource-level permissions, so a log-group-scoped statement never matches them).
# ALARM when >100 errors in 3 of the last 5 query runs
aws cloudwatch put-log-alarm \
--alarm-name "HighErrorCount" \
--comparison-operator GreaterThanThreshold \
--threshold 100 \
--query-results-to-evaluate 5 \
--query-results-to-alarm 3 \
--treat-missing-data notBreaching \
--alarm-actions arn:aws:sns:us-east-1:123456789012:alerts \
--scheduled-query-configuration '{
"QueryString": "fields @timestamp, @message | filter @message like /ERROR/",
"LogGroupIdentifiers": ["/aws/lambda/MyFunction"],
"ScheduledQueryRoleARN": "arn:aws:iam::123456789012:role/ScheduledQueryRole",
"AggregationExpression": "count(*)",
"ScheduleConfiguration": {
"ScheduleExpression": "rate(10 minutes)",
"StartTimeOffset": 600
}
}'
# Log alarms are omitted from describe-alarms unless requested
aws cloudwatch describe-alarms --alarm-types LogAlarm
Publish Custom Metrics
import boto3
cloudwatch = boto3.client('cloudwatch')
cloudwatch.put_metric_data(
Namespace='MyApp',
MetricData=[
{
'MetricName': 'OrdersProcessed',
'Value': 1,
'Unit': 'Count',
'Dimensions': [
{'Name': 'Environment', 'Value': 'Production'},
{'Name': 'OrderType', 'Value': 'Standard'}
]
}
]
)
Create Dashboard
cat > dashboard.json << 'EOF'
{
"widgets": [
{
"type": "metric",
"x": 0, "y": 0, "width": 12, "height": 6,
"properties": {
"title": "Lambda Invocations",
"metrics": [
["AWS/Lambda", "Invocations", "FunctionName", "MyFunction"]
],
"period": 60,
"stat": "Sum",
"region": "us-east-1"
}
},
{
"type": "log",
"x": 12, "y": 0, "width": 12, "height": 6,
"properties": {
"title": "Recent Errors",
"query": "SOURCE '/aws/lambda/MyFunction' | filter @message like /ERROR/ | limit 20",
"region": "us-east-1"
}
}
]
}
EOF
aws cloudwatch put-dashboard \
--dashboard-name MyAppDashboard \
--dashboard-body file://dashboard.json
CLI Reference
Metrics Commands
| Command | Description |
|---|---|
aws cloudwatch put-metric-data |
Publish custom metrics |
aws cloudwatch get-metric-data |
Retrieve metric values |
aws cloudwatch get-metric-statistics |
Get aggregated statistics |
aws cloudwatch list-metrics |
List available metrics |
Alarms Commands
| Command | Description |
|---|---|
aws cloudwatch put-metric-alarm |
Create or update alarm |
aws cloudwatch put-log-alarm |
Create or update log query alarm |
aws cloudwatch describe-alarms |
List alarms (--alarm-types LogAlarm for log alarms) |
aws cloudwatch describe-alarm-contributors |
Show breaching contributors of a multi-contributor alarm |
aws cloudwatch put-alarm-mute-rule |
Create or update scheduled mute window |
aws cloudwatch list-alarm-mute-rules |
List mute rules (--statuses SCHEDULED ACTIVE EXPIRED) |
aws cloudwatch delete-alarm-mute-rule |
Delete mute rule (unmutes immediately) |
aws cloudwatch set-alarm-state |
Manually set alarm state |
aws cloudwatch delete-alarms |
Delete alarms |
Logs Commands
| Command | Description |
|---|---|
aws logs create-log-group |
Create log group |
aws logs put-log-events |
Write log events |
aws logs filter-log-events |
Search log events |
aws logs start-query |
Start Insights query |
aws logs put-metric-filter |
Create metric filter |
aws logs put-retention-policy |
Set log retention |
Best Practices
Metrics
- Use dimensions wisely — too many creates metric explosion
- Aggregate before publishing — batch custom metrics
- Use high-resolution metrics (1-second) only when needed
- Set meaningful units for custom metrics
Alarms
- Use composite alarms for complex conditions
- Set appropriate evaluation periods to avoid flapping
- Include OK actions to track recovery
- Use anomaly detection for dynamic thresholds
- Use log alarms instead of metric filter + metric alarm for query-based conditions; set
--treat-missing-data notBreachingfor sparse errors,breachingto detect logs that stop arriving - Stagger log alarm schedules — concurrent scheduled query executions per account are capped at 100
- Set
--warm-up-configurationon alarms created alongside new resources (1-2880 min) to avoid noise before metrics publish - Use
--evaluation-window WallClockWindow={Timezone=...}for daily/weekly batch or backup alarms; keep the default sliding window for Auto Scaling - Use mute rules for maintenance, not
disable-alarm-actions;enable-alarm-actionsdoes not unmute an active mute rule
Logs
- Set retention policies — don't keep logs forever
- Use structured logging (JSON) for better querying
- Create metric filters for key events
- Use Contributor Insights for top-N analysis
Cost Optimization
- Delete unused dashboards
- Reduce log retention for non-critical logs
- Avoid high-resolution metrics unless necessary
- Use log subscription filters instead of polling
Troubleshooting
Missing Metrics
Causes:
- Service not publishing yet (wait 1-5 minutes)
- Wrong namespace/dimensions
- Detailed monitoring not enabled (EC2)
Debug:
# List metrics for a namespace
aws cloudwatch list-metrics \
--namespace AWS/Lambda \
--dimensions Name=FunctionName,Value=MyFunction
Alarm Stuck in INSUFFICIENT_DATA
Causes:
- Metric not being published
- Dimensions mismatch
- Evaluation period too short
- Warm-up period still active (ends early once data fills the window unless
OnlyStartEvaluatingAfterWarmUpPeriodEnds=true) - Log alarm: just created/updated (query, schedule, or log group changes reset state), scheduled query role lacks permissions (
EvaluationState=EVALUATION_ERROR, seeStateReason), or ingestion lag (shift window back withEndTimeOffset)
Debug:
# Check if metric has data
aws cloudwatch get-metric-statistics \
--namespace AWS/Lambda \
--metric-name Invocations \
--dimensions Name=FunctionName,Value=MyFunction \
--start-time $(date -d '1 hour ago' -u +%Y-%m-%dT%H:%M:%SZ) \
--end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
--period 60 \
--statistics Sum
# Log alarm: check evaluation state and reason
aws cloudwatch describe-alarms --alarm-types LogAlarm --alarm-names HighErrorCount \
--query 'LogAlarms[].[StateValue,EvaluationState,StateReason]'
Log Events Not Appearing
Causes:
- IAM permissions missing
- CloudWatch Logs agent not running
- Log group doesn't exist
Debug:
# Check log streams
aws logs describe-log-streams \
--log-group-name /aws/lambda/MyFunction \
--order-by LastEventTime \
--descending \
--limit 5
High CloudWatch Costs
Check usage:
# Get PutLogEvents usage
aws cloudwatch get-metric-statistics \
--namespace AWS/Logs \
--metric-name IncomingBytes \
--dimensions Name=LogGroupName,Value=/aws/lambda/MyFunction \
--start-time $(date -d '7 days ago' -u +%Y-%m-%dT%H:%M:%SZ) \
--end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
--period 86400 \
--statistics Sum