跳到正文
cccskills
免费在 GitHub 公开

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.

中文简介正在准备中。当前显示原文说明。

集成工具Azure
查看安装方法

包含的文件(1)

  • SKILL.md8.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

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

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

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

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

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.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

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

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

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

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

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.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

查看 cloudthinker-ai 的全部技能

报告此技能的问题