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azure-deploy

Plan and execute Azure deployments safely and repeatably for applications and infrastructure. Use this skill when users ask to deploy, publish, release, or provision workloads in Azure. Covers Infrastructure-as-Code, idempotency, health validation, and rollback strategies.

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Azure Deploy

Deploy workloads to Azure with a clear, low-risk process aligned with the Well-Architected Framework. Emphasis on idempotency, repeatable IaC, comprehensive validation, and reversible rollback paths.

Use This Skill When

  • The user asks to deploy an app or service to Azure
  • The user needs release automation, blue-green, or canary deployments
  • The user wants Infrastructure-as-Code guidance (Bicep, Terraform)
  • The user needs rollback and disaster recovery procedures
  • Deployment fails and needs troubleshooting with validation steps

Context: Deployment Maturity Model

Stage 1: Manual → Portal-only, error-prone, hard to audit
Stage 2: Semi-Automated → Scripts with some IaC, inconsistent across environments
Stage 3: Fully Automated → Declarative IaC, CI/CD, infrastructure versioned ← Target
Stage 4: GitOps → All changes through pull requests, fully auditable, drift detection

Required Inputs

  • Target environment: subscription ID, resource group, region, tenant
  • Environment stage: dev, test, stage, prod (with distinct names)
  • Workload type: web app, function, container app, AKS, VM, hybrid
  • Deployment method: Azure CLI, Bicep, Terraform, ARM template, Azure Developer CLI
  • Artifact readiness: built container image, versioned application package
  • Security context: managed identity vs. connection string, private endpoints, secret rotation
  • Validation criteria: health checks, endpoint tests, smoke tests, performance baselines
  • Rollback tolerance: how many minutes can service be unavailable?

Decision Tree

Is this infrastructure or application code?
├─ Infrastructure → Use Bicep or Terraform (IaC)
└─ Application → Use Azure DevOps or GitHub Actions pipeline

Is this a net-new deployment or an update?
├─ Net-new → Deploy with full validation suite
└─ Update → Blue-green or canary strategy to minimize blast radius

Do you need instant rollback capability?
├─ Yes → Blue-green deployment (dual environments, instant traffic switch)
└─ Acceptable lag → Canary (gradual rollout with monitoring)

Workflow

Phase 1: Pre-Deployment Validation (Shift-left)

  1. Verify prerequisites:

    • Subscription access confirmed (check quota, resource limits, API provider registration)
    • Role assignments correct for service principals or managed identities
    • Naming conventions followed (avoid reserved names, region abbreviations)
    • All secrets exist in Key Vault or secure store (never hardcode)
  2. Review IaC and artifacts:

    • Bicep/Terraform syntax validated with bicep build or terraform plan
    • No hardcoded values (use parameters and variables)
    • Dependencies explicitly declared (dependsOn, references)
    • Tags and metadata complete (owner, environment, cost center)
  3. Validate security posture:

    • Network isolation: private endpoints, NSGs, firewalls
    • Identity: managed identity or service principal with least privilege
    • Data: encryption at rest and in transit
    • Secrets stored in Key Vault with access policy

Phase 2: Artifact Preparation

  1. Build application:

    • Compile, test, and package application code
    • Increment version number (semantic versioning)
    • Tag artifacts with build ID or commit hash for traceability
  2. Build container (if containerized):

    • Push to Azure Container Registry (ACR) with multi-tag (:latest, :v1.2.3, :sha-abcd1234)
    • Scan image for vulnerabilities using Defender for container registries
    • Verify image can be pulled from target deployment context
  3. Archive IaC:

    • Version Bicep or Terraform files in source control
    • Pin module versions (never use latest)
    • Generate parameter files for each environment (dev.bicepparam, prod.bicepparam)

Phase 3: Deployment Execution

Option A: Declarative (Recommended)

az deployment group create \
  --resource-group $RG \
  --template-file main.bicep \
  --parameters main.bicepparam \
  --mode Incremental

Option B: Terraform

terraform init -backend-config=backend.tfvars
terraform plan -var-file=prod.tfvars -out=tfplan
terraform apply tfplan
  1. Monitor deployment progress:
    • Watch Azure portal Activity Log or CLI output for errors
    • Check resource creation order (dependencies respected)
    • Verify DNS, network routes, and storage connectivity as resources come online

Phase 4: Post-Deployment Validation

  1. Smoke test:

    • Application endpoint responds (HTTP 200, health check passes)
    • Database or data store is accessible
    • Logging and monitoring are active
  2. Integration test:

    • Dependent services (API gateways, queues, caches) are reachable
    • Data flows through expected paths
    • Performance is within SLA targets
  3. Security validation:

    • Public exposure is blocked (no public IPs unless required)
    • Managed identity credentials are working
    • Key Vault access is functional
  4. Compliance check:

    • Tags and ownership metadata present
    • Resource names follow naming convention
    • Diagnostic logging configured

Phase 5: Rollback & Recovery

Immediate Rollback (Minutes):

  • Blue-green: Switch traffic back to old deployment (instant)
  • Container/App Service: Revert to previous deployment slot or image version

Longer Rollback (Hours):

  • Re-deploy previous IaC snapshot from version control
  • Point application to previous database snapshot
  • Update DNS or traffic manager to old infrastructure

Full Disaster Recovery:

  • Restore from backup or failover to secondary region
  • Validate data consistency and application state
  • Perform security re-validation before resuming production traffic

Output Contract

Return these sections in order:

  1. Deployment Plan Summary

    • Environment, resource group, region
    • Estimated lead time for quota increases (if needed)
    • High-level resource inventory and costs
  2. Pre-Deployment Checklist

    • Prerequisites validation commands or portal steps
    • Required role assignments and permissions
    • Security and networking decisions
  3. Deployment Commands or IaC

    • Exact CLI/Terraform/Bicep commands with parameter values
    • Suggested order of operations
    • Parallel vs. sequential resource creation notes
  4. Post-Deployment Validation Checklist

    • Smoke test steps (curl commands, portal checks)
    • Integration test scenarios
    • Performance baseline commands (ab, loadtest, etc.)
  5. Rollback Procedure

    • Step-by-step rollback sequence
    • How long rollback takes
    • Data consistency checks post-rollback
  6. Risks and Assumptions

    • Quota headroom assumptions
    • Blast radius if deployment fails mid-stream
    • Dependencies on external systems

Practical Examples

Example 1: Deploy a Container App with Traffic Split (Canary)

1. Deploy new revision to staging slot: 5% traffic
2. Monitor error rate and latency for 10 minutes
3. Shift to 25%, then 50%, then 100% in 10-minute intervals
4. If error spike detected, instant rollback to previous revision

Example 2: Blue-Green Web App Deployment

1. Deploy new version to unused deployment slot (green)
2. Run smoke and integration tests against green slot
3. Swap slots: green becomes production (instant, no downtime)
4. Keep blue slot warm for quick rollback within 1 hour

Example 3: Bicep Deployment with Parameter Overrides

az deployment group create \
  --resource-group myapp-prod \
  --template-file main.bicep \
  --parameters main.bicepparam \
  --parameters location=eastus vmCount=3 \
  --mode Incremental

Guardrails

  • Never hardcode secrets or connection strings in IaC, templates, or environment variables. Use Key Vault with managed identity.
  • Always use --mode Incremental for Bicep/ARM; avoid Complete mode unless you intend to delete unlisted resources.
  • Avoid manual post-deployment configuration (portal UI changes). All config must be in IaC for reproducibility.
  • Call out destructive operations (database migrations, resource deletions, scale-down) before execution.
  • Version everything: application code, container images, IaC modules, parameter files.
  • Never use latest image tag in production; pin to specific versions.
  • Test rollback procedure before going to production; don't assume it works untested.
  • Separate credentials by environment; dev/test/prod each have distinct service principals and Key Vault instances.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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