AWS Cloudwatch Investigation

fields @timestamp, @message, @logStream
| filter @message like /(?i)(error|exception|fatal|critical)/
| stats count(*) as errorCount by bin(5m), @logStream
| sort errorCount desc
| limit 20

fields @timestamp, @duration, operation
| filter ispresent(@duration)
| stats avg(@duration) as avgMs,
        pct(@duration, 50) as p50Ms,
        pct(@duration, 95) as p95Ms,
        pct(@duration, 99) as p99Ms,
        count(*) as invocations
  by operation
| sort p99Ms desc
| limit 15

fields @timestamp, @duration, @initDuration, @memorySize, @maxMemoryUsed
| filter ispresent(@initDuration)
| stats count(*) as coldStarts,
        avg(@initDuration) as avgInitMs,
        max(@initDuration) as maxInitMs,
        avg(@duration) as avgDurationMs
  by bin(5m)
| sort @timestamp desc

fields @timestamp, @message, @logStream, @memorySize, @maxMemoryUsed
| filter @message like /Runtime exited|out of memory|OOMKilled|Cannot allocate memory|MemoryError/
| stats count(*) as oomEvents by @logStream, bin(10m)
| sort oomEvents desc
| limit 10

fields @timestamp, @maxMemoryUsed, @memorySize
| filter ispresent(@maxMemoryUsed)
| stats max(@maxMemoryUsed / @memorySize * 100) as peakMemPct,
        avg(@maxMemoryUsed / @memorySize * 100) as avgMemPct
  by bin(5m)
| sort @timestamp desc

fields @timestamp, @duration, @logStream, @requestId
| filter @message like /Task timed out/ or @duration > 28000
| stats count(*) as timeouts by @logStream, bin(5m)
| sort timeouts desc

# CloudTrail Lake query for deployment events
SELECT eventTime, eventName, userIdentity.arn, requestParameters
FROM <event-data-store-id>
WHERE eventTime > '<alarm_time_minus_30m>'
  AND eventTime < '<alarm_time>'
  AND eventName IN (
    'UpdateFunctionCode', 'UpdateFunctionConfiguration',
    'UpdateService', 'CreateDeployment', 'RegisterTaskDefinition',
    'CreateChangeSet', 'ExecuteChangeSet',
    'StartPipelineExecution', 'PutImage'
  )
ORDER BY eventTime DESC

Deploy Correlation:
  Event: UpdateFunctionCode
  Time: 2024-03-15T14:23:07Z (12 min before alarm)
  Actor: arn:aws:sts::123456789012:assumed-role/github-actions-deploy/session
  Resource: arn:aws:lambda:us-east-1:123456789012:function:payment-processor
  Correlation: STRONG — same resource, CI/CD actor, alarm was OK prior cycle

START
  |
  v
[1] ACCOUNT — Which account(s) show the alarm?
  |  - Check: Are alarms firing in multiple accounts?
  |  - If yes → suspect shared service (SSO, networking, shared deployment pipeline)
  |  - If no → proceed to Region
  v
[2] REGION — Which region(s) are affected?
  |  - Check: Same alarm in other regions?
  |  - If multi-region → suspect global service (IAM, Route53, S3 global)
  |  - If single-region → proceed to Service
  v
[3] SERVICE — Which service namespace shows degradation?
  |  - Check CloudWatch namespace: AWS/Lambda, AWS/ECS, AWS/ApiGateway, etc.
  |  - If multiple services → suspect shared dependency (VPC, NAT, DNS, IAM)
  |  - If single service → proceed to Operation
  v
[4] OPERATION — Which API action or function is failing?
  |  - For Lambda: which function name?
  |  - For ECS: which service/task definition?
  |  - For API GW: which stage/resource/method?
  |  - If all operations → suspect service-level issue (throttling, quota)
  |  - If specific operation → proceed to Resource
  v
[5] RESOURCE — Which specific resource instance?
     - Function ARN, Task ID, DB instance identifier
     - This is your investigation target
     - Proceed to log and trace analysis scoped to this resource