본문으로 건너뛰기
cccskills
무료GitHub에 공개

azure-front-door

Use when working with Azure Front Door — azure Front Door routing rules, WAF policy management, health probe configuration, cache management, and CDN analytics via Azure CLI.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Azure
설치 방법 보기

포함된 파일(1)

  • SKILL.md8.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Azure Front Door Skill

Manage and analyze Azure Front Door using az afd (Standard/Premium) and az network front-door (Classic) commands.

Discovery-First Rule

ALWAYS discover before acting. Never assume profile names, endpoint names, origin group names, or WAF policy names.

# Discover Front Door Standard/Premium profiles
az afd profile list --output json \
  --query "[].{name:name, rg:resourceGroup, sku:sku.name, provisioningState:provisioningState, enabledState:enabledState}"

# Discover Classic Front Doors
az network front-door list --output json \
  --query "[].{name:name, rg:resourceGroup, enabledState:enabledState, frontendEndpoints:frontendEndpoints[].hostName}"

Parallel Execution Requirement

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

for profile in $(echo "$profiles" | jq -c '.[]'); do
  {
    name=$(echo "$profile" | jq -r '.name')
    rg=$(echo "$profile" | jq -r '.rg')
    az afd endpoint list --profile-name "$name" --resource-group "$rg" --output json
  } &
done
wait

Helper Functions

# List endpoints for a profile
list_endpoints() {
  local profile="$1" rg="$2"
  az afd endpoint list --profile-name "$profile" --resource-group "$rg" --output json \
    --query "[].{name:name, hostName:hostName, enabledState:enabledState, provisioningState:provisioningState}"
}

# List origin groups
list_origin_groups() {
  local profile="$1" rg="$2"
  az afd origin-group list --profile-name "$profile" --resource-group "$rg" --output json \
    --query "[].{name:name, healthProbe:healthProbeSettings, loadBalancing:loadBalancingSettings, sessionAffinity:sessionAffinityState}"
}

# List routes
list_routes() {
  local profile="$1" rg="$2" endpoint="$3"
  az afd route list --profile-name "$profile" --resource-group "$rg" --endpoint-name "$endpoint" --output json \
    --query "[].{name:name, patternsToMatch:patternsToMatch, originGroup:originGroup.id, enabledState:enabledState, forwardingProtocol:forwardingProtocol, httpsRedirect:httpsRedirect, cacheConfiguration:cacheConfiguration}"
}

# Get WAF policy
get_waf_policy() {
  local name="$1" rg="$2"
  az network front-door waf-policy show --name "$name" --resource-group "$rg" --output json \
    --query "{name:name, sku:sku.name, policySettings:policySettings, managedRules:managedRules.managedRuleSets[].{type:ruleSetType, version:ruleSetVersion}, customRules:customRules.rules[].{name:name, priority:priority, action:action, matchConditions:matchConditions}}"
}

Common Operations

1. Front Door Overview

profiles=$(az afd profile list --output json --query "[].{name:name, rg:resourceGroup}")
for p in $(echo "$profiles" | jq -c '.[]'); do
  {
    name=$(echo "$p" | jq -r '.name')
    rg=$(echo "$p" | jq -r '.rg')
    echo "=== Profile: $name ==="
    list_endpoints "$name" "$rg"
    list_origin_groups "$name" "$rg"
  } &
done
wait

2. Routing Rules Analysis

endpoints=$(list_endpoints "$PROFILE" "$RG")
for ep in $(echo "$endpoints" | jq -c '.[]'); do
  {
    ep_name=$(echo "$ep" | jq -r '.name')
    list_routes "$PROFILE" "$RG" "$ep_name"
  } &
done
wait

3. WAF Policy Review

# List WAF policies
az network front-door waf-policy list --resource-group "$RG" --output json \
  --query "[].{name:name, policyMode:policySettings.mode, enabledState:policySettings.enabledState, redirectUrl:policySettings.redirectUrl}"

# Get detailed rule configuration
get_waf_policy "$WAF_POLICY" "$RG"

# Check managed rule overrides
az network front-door waf-policy show --name "$WAF_POLICY" --resource-group "$RG" --output json \
  --query "managedRules.managedRuleSets[].ruleGroupOverrides[].{group:ruleGroupName, rules:rules[].{id:ruleId, action:action, enabledState:enabledState}}"

4. Health Probe Configuration

# Check origin group health probes
az afd origin-group list --profile-name "$PROFILE" --resource-group "$RG" --output json \
  --query "[].{name:name, probePath:healthProbeSettings.probePath, probeProtocol:healthProbeSettings.probeProtocol, probeIntervalSec:healthProbeSettings.probeIntervalInSeconds, probeMethod:healthProbeSettings.probeRequestType}"

# List origins with health status
for og in $(az afd origin-group list --profile-name "$PROFILE" --resource-group "$RG" --query "[].name" -o tsv); do
  {
    az afd origin list --profile-name "$PROFILE" --resource-group "$RG" --origin-group-name "$og" --output json \
      --query "[].{name:name, hostName:hostName, httpPort:httpPort, httpsPort:httpsPort, priority:priority, weight:weight, enabledState:enabledState}"
  } &
done
wait

5. Cache Configuration

# Check caching rules per route
endpoints=$(list_endpoints "$PROFILE" "$RG")
for ep in $(echo "$endpoints" | jq -c '.[]'); do
  {
    ep_name=$(echo "$ep" | jq -r '.name')
    az afd route list --profile-name "$PROFILE" --resource-group "$RG" --endpoint-name "$ep_name" --output json \
      --query "[].{route:name, cacheEnabled:cacheConfiguration.isCompressionEnabled, queryStringCaching:cacheConfiguration.queryStringCachingBehavior, cacheDuration:cacheConfiguration.cacheDuration}"
  } &
done
wait

Output Format

Present results as a structured report:

Azure Front Door 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.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

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

  1. Classic vs Standard/Premium: Classic uses az network front-door, Standard/Premium uses az afd. Commands are not interchangeable.
  2. WAF mode: Detection mode logs but does not block. Prevention mode blocks. Check policySettings.mode before assuming protection is active.
  3. Health probe overhead: HEAD probes are more efficient than GET. Frequent probes (every 5s) to slow backends can cause load. Check probe interval.
  4. Custom domains: Custom domains require CNAME validation and certificate binding. Check domain validation state before troubleshooting routing.
  5. Cache purge scope: Purging by URL pattern affects all edge nodes globally. Wildcard purge (/*) clears the entire cache -- use specific paths when possible.

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