AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
Creates and manages AWS CloudWatch metrics, alarms, logs, and dashboards for monitoring.
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alarms-metrics.mdAmazon 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.
Time-ordered data points published to CloudWatch. Key components:
AWS/Lambda)Invocations)FunctionName=MyFunc)Log data from AWS services and applications:
Automated actions based on metric thresholds:
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']
)
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
# 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)
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
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'}
]
}
]
)
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
| 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 |
| Command | Description |
|---|---|
aws cloudwatch put-metric-alarm | Create or update alarm |
aws cloudwatch describe-alarms | List alarms |
aws cloudwatch set-alarm-state | Manually set alarm state |
aws cloudwatch delete-alarms | Delete alarms |
| 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 |
Causes:
Debug:
# List metrics for a namespace
aws cloudwatch list-metrics \
--namespace AWS/Lambda \
--dimensions Name=FunctionName,Value=MyFunction
Causes:
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
Causes:
Debug:
# Check log streams
aws logs describe-log-streams \
--log-group-name /aws/lambda/MyFunction \
--order-by LastEventTime \
--descending \
--limit 5
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
Use when working with Payload CMS projects (payload.config.ts, collections, fields, hooks, access control, Payload API). Use when debugging validation errors, security issues, relationship queries, transactions, or hook behavior.