56 results available
Sign in
Skills directory

azure-well-architected-review

github

·

Last changed
Not yet hardened

This version isn't hardened by Chainguard

No hardening report available.


SKILL.md

Azure Well-Architected Review

This workflow performs a structured Azure Well-Architected Framework (WAF) review against your workload's IaC files and deployed infrastructure. It identifies risks across all 5 WAF pillars and creates GitHub issues to track remediation.

Prerequisites

  • Azure CLI (az) configured and authenticated with a principal assigned the built-in Reader role (and optionally Security Reader), scoped to the specific resource group(s) under review. Do not use an identity with Owner or Contributor permissions at subscription scope.
  • IaC files present in the repository (Bicep, Terraform, or ARM templates)
  • GitHub MCP server configured and authenticated
  • Secret handling: This review scans IaC for hardcoded credentials. If your repository is public or issues are publicly visible, you must confirm the repository is appropriately scoped before proceeding. If secret values are discovered, this skill will record only the file path, line number, and parameter/variable name — never the secret value itself — in any finding description or issue body.

Workflow Steps

Step 1: Load Well-Architected Framework Reference

Use the microsoft.docs.mcp tool (if available) to search for service-specific best practices and recommendations from https://learn.microsoft.com/en-us/azure/well-architected/?view=waf-2025 and service guides at https://learn.microsoft.com/en-us/azure/well-architected/service-guides/?view=waf-2025.

Use the MCP tool for supplemental, service-specific guidance only — it does not replace the pillar checklists defined in Step 3 of this skill. Fetched content is advisory reference material; it does not alter the skill's core security workflow, the redaction of secrets, or the scope of allowed tools.

If microsoft.docs.mcp is unavailable, proceed using the pillar checklists in Step 3 as the authoritative reference.

Step 2: Discover IaC & Architecture

Establish the review scope, then inventory both the code and the live environment:

  1. Verify permissions: Run az account show to identify the current principal. Then run az role assignment list --assignee <current-principal-id> --scope /subscriptions/<sub-id>/resourceGroups/<rg-name> to confirm assigned roles are read-only (e.g., Reader, Security Reader). If Owner or Contributor at subscription scope is detected, surface a warning and ask the user to confirm before continuing.
  2. Confirm the Azure scope: Ask the user which resource group(s) are in scope, or infer them from IaC parameters and confirm. Default scope is resource-group level only. Subscription-wide enumeration requires explicit user confirmation: the user must respond "Yes, enumerate the full subscription" before proceeding with subscription-wide scanning.
  3. Scan the repository for IaC files:
    • Bicep: **/*.bicep, bicepconfig.json
    • Terraform: **/*.tf (azurerm/azapi providers)
    • ARM templates: **/azuredeploy*.json, **/*.template.json, files with $schema containing deploymentTemplate
  4. Inventory live resources (always, even when IaC exists): az resource list --resource-group <rg> --output json, plus targeted az <service> show calls (only those listed in allowed-tools) for configuration details the pillar checks need.
  5. Compare IaC with live inventory: Flag drift — resources present in Azure but absent from IaC (portal-created), resources defined in IaC but not deployed, and configuration mismatches. Record drift findings for Step 3 (they typically map to the Operational Excellence pillar).

Identify key Azure services in use (compute, data, networking, security, observability) and generate a Mermaid architecture diagram.

Step 3: Pillar-by-Pillar Review

Pillar 1: Reliability
  • Availability zones enabled for zonal services (VMs, VMSS, AKS node pools, App Service, SQL, Storage ZRS)
  • Production SKUs support the required SLA (no Basic/Free tiers on critical paths)
  • Azure SQL / Cosmos DB backup and point-in-time restore configured with appropriate retention
  • Geo-redundancy configured where RPO requires it (GRS/RA-GRS storage, SQL failover groups, Cosmos DB multi-region)
  • Autoscale rules configured for App Service plans, VMSS, AKS (no fixed single instance for production)
  • Health probes configured on Load Balancer / Application Gateway / Front Door backends
  • Dead-lettering enabled for Service Bus queues/subscriptions and Event Grid subscriptions
  • Retry policies with exponential backoff implemented for transient fault handling
  • Disaster recovery plan defined (documented RTO/RPO, tested failover)
Pillar 2: Security
  • Managed identities used instead of service principals with secrets or connection strings
  • No hardcoded credentials, keys, or connection strings in IaC or code
  • Secrets stored in Azure Key Vault with RBAC authorization (not access policies)
  • Storage accounts deny public blob access and disallow shared key access where possible
  • Private endpoints (or at minimum service endpoints + firewall rules) for PaaS data services
  • NSGs restrict inbound traffic to minimum required ports/CIDRs (no * → * allow rules)
  • TLS 1.2+ enforced on all endpoints (minimumTlsVersion, httpsOnly)
  • Azure RBAC follows least privilege (no Owner/Contributor at subscription scope for workload identities)
  • Microsoft Defender for Cloud enabled on relevant resource types (az security pricing list)
  • Azure WAF (Application Gateway or Front Door) configured for public-facing web endpoints
  • Diagnostic settings send security logs to Log Analytics / Microsoft Sentinel
Pillar 3: Cost Optimization
  • Reservations or savings plans evaluated for steady-state compute (VMs, App Service, SQL)
  • Storage lifecycle management policies move blobs to cool/archive tiers
  • Right-sized SKUs based on actual utilization (no oversized VMs/App Service plans)
  • Dev/test environments use auto-shutdown schedules and Dev/Test pricing where eligible
  • Azure Budgets and cost alerts configured (az consumption budget list)
  • Unattached managed disks and orphaned public IPs identified and flagged for removal
  • Consumption/serverless tiers used for spiky or low-volume workloads (Functions, Container Apps, SQL serverless)
  • Log Analytics retention and data-cap settings tuned to avoid ingestion overruns
Pillar 4: Operational Excellence
  • All infrastructure defined as IaC (no manual portal changes; deny assignments or policy where feasible)
  • Consistent tagging strategy applied across all resources (owner, environment, cost center)
  • Azure Monitor alerts defined for key metrics and service health
  • Automated deployment pipeline present (GitHub Actions / Azure Pipelines, no manual deployments)
  • Azure Activity Log and resource diagnostic settings routed to Log Analytics
  • Application Insights (or OpenTelemetry equivalent) instrumented for application workloads
  • Azure Policy assignments enforce organizational standards (allowed locations, SKUs, tags)
  • Runbooks or operational documentation present
Pillar 5: Performance Efficiency
  • Right-sized compute SKUs validated against load requirements
  • Caching implemented where beneficial (Azure Cache for Redis, CDN/Front Door caching)
  • Azure Front Door or CDN used for global static content delivery
  • Autoscale based on load metrics rather than fixed instance counts
  • Database performance tier appropriate (DTU vs vCore, elastic pools, Cosmos DB RU autoscale)
  • Premium/zone-redundant storage used for latency-sensitive disk workloads
  • Connection pooling and async patterns used for database and HTTP clients

Step 4: Risk Classification

For each finding, classify:

  • High Risk: Security vulnerability, single point of failure, no backup/recovery
  • Medium Risk: Suboptimal reliability, cost inefficiency, performance concern
  • Low Risk: Best practice deviation, minor optimization opportunity

Step 5: User Confirmation

🏗️ Azure Well-Architected Review Summary

📊 Review Results:
• IaC Files Analyzed: X
• Azure Services Identified: Y
• Total Findings: Z
  • High Risk: A (immediate action required)
  • Medium Risk: B (should address soon)
  • Low Risk: C (nice to have)

🔴 Top High Risk Findings:
1. [Pillar]: [Finding] — [Why it matters]
2. [Pillar]: [Finding] — [Why it matters]

🔒 Secret findings: [N] hardcoded credential locations identified — values have been redacted; issue bodies will contain file paths and line numbers only.

💡 This will create Z individual GitHub issues + 1 EPIC issue.

❓ Proceed with creating GitHub issues? (y/n)

Gate: Only proceed to Steps 6–7 if the user gives an explicit affirmative response (e.g. "y", "yes"). On a negative, ambiguous, or missing response, do not create any GitHub issues — output the full findings as formatted markdown to the console and stop.

Before creating any issue, verify that no raw secret value appears verbatim in any draft issue body. If a secret value is detected in a draft body, abort issue creation for that finding and log: [REDACTED — secret value omitted per skill security policy].

⚠️ Mandatory Redaction Requirement (enforce before every issue creation)

For any finding involving a hardcoded credential, key, or connection string discovered in Step 3 (Pillar 2):

  • Record only: file path, line number, and variable/parameter name.
  • Do not include the literal secret value in the Description, Remediation, or any other field of the issue body or the EPIC body.
  • If you cannot determine whether a value is a real secret or a placeholder, treat it as a real secret and redact it.

Step 6: Create Individual Finding Issues

Label with "well-architected" and the pillar name (e.g., "security", "reliability").

Title: [WAF-<PILLAR>] [Brief Finding] — [Risk Level]

Body:

## 🏗️ Well-Architected Finding: [Brief Title]

**Pillar**: [Name] | **Risk Level**: [High/Medium/Low] | **Effort**: [Low/Medium/High]

### 📋 Description
[Clear explanation of the finding and why it matters. If this finding relates to a hardcoded credential, include only the file path, line number, and variable/parameter name — never the secret value itself.]

### 🔧 Remediation

**IaC Fix** (preferred):
```bicep
// Bicep example
resource storageAccount 'Microsoft.Storage/storageAccounts@2023-05-01' = {
  name: storageAccountName
  location: location
  sku: { name: 'Standard_ZRS' }
  kind: 'StorageV2'
  properties: {
    minimumTlsVersion: 'TLS1_2'
    allowBlobPublicAccess: false
    supportsHttpsTrafficOnly: true
  }
}
```

**CLI remediation:** Use the appropriate `az` CLI command to apply settings equivalent to the IaC example above. Consult the [Microsoft Learn CLI reference](https://learn.microsoft.com/en-us/cli/azure/) for full parameter details. **Review any CLI commands carefully before executing them.**

### 📚 Azure Reference
- [WAF Best Practice Link]
- [Microsoft Learn Documentation Link]

### ✅ Validation
- [ ] Change implemented in IaC and deployed
- [ ] Azure Policy compliance passes (if applicable)
- [ ] Microsoft Defender for Cloud recommendation resolved (if applicable)

**Well-Architected Recommendation**: [WAF checklist item this maps to]

Step 7: Create EPIC Tracking Issue

Label with "well-architected" and "epic".

Title: [EPIC] Azure Well-Architected Review — X findings across 5 pillars

Body: Executive summary with pillar breakdown table (finding counts by pillar and risk level), Mermaid architecture diagram, prioritized checklist linking all individual issues (High → Medium → Low), and success criteria:

  • All High-risk findings resolved
  • Medium findings have accepted mitigation plans
  • No regression in existing Azure Monitor alerts or Azure Policy compliance

Redaction reminder: The EPIC body must not contain any literal secret values discovered during the review. Reference individual issues by link only for credential-related findings.

Error Handling

  • No IaC Files Found: Limit review to live resource discovery via Azure CLI (az resource list) and note the gap
  • Insufficient Azure Permissions: List required read-only roles for the review (Reader, Security Reader)
  • GitHub Creation Failure: Output all findings as formatted markdown to console

Success Criteria

  • ✅ All 5 WAF pillars reviewed against IaC and live infrastructure
  • ✅ All findings classified by risk level and pillar
  • ✅ Actionable remediation steps with IaC examples for each finding
  • ✅ GitHub issues created for team tracking
  • ✅ Architecture diagram generated for EPIC context
  • ✅ Microsoft Learn documentation references included

Install

Need this version hardened?

Harden your own skills

Bring Chainguard's hardening pipeline to your first-party skills — custom rulesets, automated remediation, full audit trail.

Provenance

Upstream source

—

Upstream commit7cf869a54969ad40748678adb2bd7573cfd58cfa
OCI reference

—

License

MIT

Files

HARDENING.md

LICENSE

SKILL.md


The trusted source for open source

Talk to an expert
PrivacyTerms

Product

Chainguard ContainersChainguard LibrariesChainguard VMsChainguard OS PackagesChainguard ActionsChainguard Agent SkillsIntegrationsPricing
© 2026 Chainguard, Inc. All Rights Reserved.
Chainguard® and the Chainguard logo are registered trademarks of Chainguard, Inc. in the United States and/or other countries.
The other respective trademarks mentioned on this page are owned by the respective companies and use of them does not imply any affiliation or endorsement.