본문으로 건너뛰기
cccskills
무료GitHub에 공개

aws-lambda

Use when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구AWS
설치 방법 보기

포함된 파일(1)

  • SKILL.md9.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

AWS Lambda Skill

Analyze AWS Lambda functions with parallel execution and anti-hallucination guardrails.

Relationship to other AWS skills:

  • aws-lambda/ → Lambda-specific analysis (functions, layers, concurrency)
  • aws/ → "How to execute" (parallel patterns, throttling, output format)

CRITICAL: Parallel Execution Requirement

ALL independent operations MUST run in parallel using background jobs (&) and wait.

#!/bin/bash
export AWS_PAGER=""

# CORRECT: Parallel metric fetching
for func in $functions; do
  get_lambda_metrics "$func" &
done
wait

FORBIDDEN: Sequential loops like for func in $functions; do aws lambda get-function "$func"; done

Helper Functions

#!/bin/bash
export AWS_PAGER=""

# List all Lambda functions with key details
list_lambda_functions() {
  aws lambda list-functions \
    --output text \
    --query 'Functions[].[FunctionName,Runtime,MemorySize,Timeout,CodeSize,LastModified]'
}

# Get function configuration and state
get_function_config() {
  local func_name=$1
  aws lambda get-function-configuration \
    --function-name "$func_name" \
    --output text \
    --query '[FunctionName,Runtime,MemorySize,Timeout,State,LastUpdateStatus,Handler,CodeSize,Architectures[0]]'
}

# Get invocation metrics for a function (last N days)
get_invocation_metrics() {
  local func_name=$1 days=${2:-7}
  local end_time start_time
  end_time=$(date -u +"%Y-%m-%dT%H:%M:%S")
  start_time=$(date -u -d "$days days ago" +"%Y-%m-%dT%H:%M:%S" 2>/dev/null || date -u -v-${days}d +"%Y-%m-%dT%H:%M:%S")

  aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name Invocations \
    --dimensions Name=FunctionName,Value="$func_name" \
    --start-time "$start_time" --end-time "$end_time" \
    --period $((days * 86400)) --statistics Sum \
    --output text --query 'Datapoints[0].[Sum]' &

  aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name Errors \
    --dimensions Name=FunctionName,Value="$func_name" \
    --start-time "$start_time" --end-time "$end_time" \
    --period $((days * 86400)) --statistics Sum \
    --output text --query 'Datapoints[0].[Sum]' &

  aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name Duration \
    --dimensions Name=FunctionName,Value="$func_name" \
    --start-time "$start_time" --end-time "$end_time" \
    --period $((days * 86400)) --statistics Average Maximum \
    --output text --query 'Datapoints[0].[Average,Maximum]' &

  aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name Throttles \
    --dimensions Name=FunctionName,Value="$func_name" \
    --start-time "$start_time" --end-time "$end_time" \
    --period $((days * 86400)) --statistics Sum \
    --output text --query 'Datapoints[0].[Sum]' &

  wait
}

# Get concurrent executions
get_concurrency_metrics() {
  local func_name=$1 days=${2:-7}
  local end_time start_time
  end_time=$(date -u +"%Y-%m-%dT%H:%M:%S")
  start_time=$(date -u -d "$days days ago" +"%Y-%m-%dT%H:%M:%S" 2>/dev/null || date -u -v-${days}d +"%Y-%m-%dT%H:%M:%S")

  aws cloudwatch get-metric-statistics \
    --namespace AWS/Lambda \
    --metric-name ConcurrentExecutions \
    --dimensions Name=FunctionName,Value="$func_name" \
    --start-time "$start_time" --end-time "$end_time" \
    --period 3600 --statistics Maximum \
    --output text --query 'Datapoints[*].[Timestamp,Maximum]' \
    | sort -k1 | tail -10
}

# List layers for a function
get_function_layers() {
  local func_name=$1
  aws lambda get-function-configuration \
    --function-name "$func_name" \
    --output text \
    --query 'Layers[].[Arn,CodeSize]'
}

Common Operations

1. Function Inventory with Runtime Distribution

#!/bin/bash
export AWS_PAGER=""
aws lambda list-functions \
  --output text \
  --query 'Functions[].[Runtime]' \
  | sort | uniq -c | sort -rn

2. Cold Start Analysis (Init Duration)

#!/bin/bash
export AWS_PAGER=""
# Query CloudWatch Logs Insights for init durations
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
  aws logs filter-log-events \
    --log-group-name "/aws/lambda/$func" \
    --filter-pattern "REPORT" \
    --start-time $(($(date +%s) - 86400))000 \
    --max-items 50 \
    --output text \
    --query 'events[].message' \
    | grep -o 'Init Duration: [0-9.]*' | head -5 &
done
wait

3. Error Rate Analysis

#!/bin/bash
export AWS_PAGER=""
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
  {
    invocations=$(aws cloudwatch get-metric-statistics \
      --namespace AWS/Lambda --metric-name Invocations \
      --dimensions Name=FunctionName,Value="$func" \
      --start-time "$(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S 2>/dev/null || date -u -v-7d +%Y-%m-%dT%H:%M:%S)" \
      --end-time "$(date -u +%Y-%m-%dT%H:%M:%S)" \
      --period 604800 --statistics Sum \
      --output text --query 'Datapoints[0].Sum')
    errors=$(aws cloudwatch get-metric-statistics \
      --namespace AWS/Lambda --metric-name Errors \
      --dimensions Name=FunctionName,Value="$func" \
      --start-time "$(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S 2>/dev/null || date -u -v-7d +%Y-%m-%dT%H:%M:%S)" \
      --end-time "$(date -u +%Y-%m-%dT%H:%M:%S)" \
      --period 604800 --statistics Sum \
      --output text --query 'Datapoints[0].Sum')
    printf "%s\t%s\t%s\n" "$func" "${invocations:-0}" "${errors:-0}"
  } &
done
wait

4. Layer Inventory

#!/bin/bash
export AWS_PAGER=""
aws lambda list-layers --output text \
  --query 'Layers[].[LayerName,LatestMatchingVersion.Version,LatestMatchingVersion.CompatibleRuntimes[0]]'

5. Provisioned Concurrency Status

#!/bin/bash
export AWS_PAGER=""
FUNCTIONS=$(aws lambda list-functions --output text --query 'Functions[].FunctionName')
for func in $FUNCTIONS; do
  aws lambda list-provisioned-concurrency-configs \
    --function-name "$func" \
    --output text \
    --query "ProvisionedConcurrencyConfigs[].[\"$func\",RequestedProvisionedConcurrentExecutions,AvailableProvisionedConcurrentExecutions,AllocatedProvisionedConcurrentExecutions,Status]" 2>/dev/null &
done
wait

Anti-Hallucination Rules

  1. Never guess runtimes - Always query list-functions to get actual runtime values. Valid runtimes change over time.
  2. Duration != Cold Start - Duration metric is execution time only. Cold start is Init Duration from REPORT logs. Do not conflate them.
  3. Memory != Allocated Memory - MemorySize is configured max. Actual usage requires CloudWatch max_memory_used from REPORT logs.
  4. Throttles != Errors - Throttled invocations are NOT counted as errors. They are separate metrics.
  5. CodeSize is compressed - The CodeSize field is the deployment package size (zip), not uncompressed code size.

Output Format

Present results as a structured report:

Aws Lambda Report
═════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  • CloudWatch statistics syntax: Use spaces not commas: --statistics Average Maximum (NOT Average,Maximum)
  • Log group naming: Lambda log groups follow /aws/lambda/{function-name} convention. Do not guess other patterns.
  • Concurrent execution limits: Account default is 1000. Check with aws lambda get-account-settings.
  • Qualifier matters: When checking aliases/versions, always specify --qualifier. Unqualified calls go to $LATEST.
  • ARM vs x86: Check Architectures field. arm64 functions have different pricing. Do not assume x86_64.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

cloudthinker-ai/CloudSkills62026년 4월 5일 업데이트

cloudthinker-ai의 스킬 모두 보기

이 스킬의 문제 신고