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Techtide azure waf reliability review

Skill TechTideOhio/techtide-harness-kit/skills/azure/techtide-azure-waf-reliability-review

Review Azure workload reliability against the Well-Architected Framework Reliability pillar: availability targets, AZ/region topology, health monitoring, data resilience, deployment safety, and chaos testing.From its SKILL.md

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npx -y skills add TechTideOhio/techtide-harness-kit --skill techtide-azure-waf-reliability-review

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SKILL.md

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Azure WAF Reliability Review

The Azure Well-Architected Framework Reliability pillar covers designing, building, and operating workloads that are resilient to failures, meet availability targets, and recover gracefully from disruptions.

5 Reliability Design Principles

  1. Design for business requirements - translate business requirements into measurable reliability targets; define RTO, RPO, availability SLOs
  2. Design for resilience - ensure the workload survives fault conditions without complete outage; design for partial failure
  3. Design for recovery - assume failures will happen; implement automated recovery; test recovery procedures regularly
  4. Design for operations - build operations into the design; implement health modeling; use automated deployments
  5. Keep it simple - avoid design complexity that introduces reliability risks; use managed services to reduce operational burden

Azure Reliability Service Areas

Availability Zones

  • Zone-redundant services: ZRS Storage, Zone-redundant Azure SQL, AKS across zones
  • Zonal deployments: pin to specific zone for latency-sensitive workloads
  • Regional services: single-zone, not HA - use only for non-critical or dev/test workloads

Fault Tolerance

  • Azure Load Balancer (L4) - regional traffic distribution
  • Azure Application Gateway (L7) - zone-redundant HTTP/S load balancing with WAF
  • Azure Traffic Manager (DNS) - cross-region failover and weighted routing
  • Azure Front Door - global anycast with automatic failover

Scalability

  • VMSS (Virtual Machine Scale Sets) - VM-based horizontal scaling
  • Azure Kubernetes Service (KEDA, HPA) - pod and node autoscaling
  • Azure App Service autoscale - rule-based and metric-based scaling
  • Azure Functions consumption plan - event-driven serverless scaling

Data Resilience

  • Azure SQL Business Critical - 2 readable secondaries, zone-redundant by default
  • Cosmos DB - multi-region writes, configurable consistency (strong/bounded-staleness)
  • Azure Storage GRS/GZRS - geo-redundant and geo-zone-redundant replication
  • Azure Backup - VM, SQL, and file share backup with retention policies
  • Azure Site Recovery (ASR) - VM replication and orchestrated failover

Health Modeling

  • Azure Monitor - metrics, logs, and alerting platform
  • Application Insights - distributed tracing, availability tests, failure analysis
  • Azure Service Health alerts - planned maintenance, outage notifications, advisories
  • Resource Health API - per-resource health signal for automated remediation

Chaos Engineering

  • Azure Chaos Studio - inject faults: VM availability zone failure, AKS pod failure, network latency, dependency unavailability

Deployment Safety

  • App Service deployment slots - blue/green with slot swap and auto-swap
  • Azure Deployment Environments - consistent, governed environment templates
  • Traffic Manager weighted routing - canary deployment with percentage-based traffic split

Azure SLA Key Facts

  • Availability Zones: 99.99% SLA for VMs when using ≥2 VMs across ≥2 AZs
  • Azure SQL Business Critical + zones: 99.995%
  • Cosmos DB multi-region writes: 99.999%
  • Single VM with Premium SSD: 99.9% - NOT suitable for production HA
  • Traffic Manager: 99.99%

Assessment Questions

  • What are the availability and reliability targets for the workload?
  • How do you ensure the workload can operate during a zone or region outage?
  • How do you implement health monitoring and proactive alerting?
  • How do you manage dependencies and limit blast radius of failures?
  • How do you test resilience and validate recovery procedures?
  • How do you design for graceful degradation under load or partial failure?
  • How do you implement safe deployment practices to minimize rollback risk?

Validation Checklist

  • SLOs defined with measurable SLIs monitored via Azure Monitor
  • All stateful services (VMs, databases) deployed across ≥2 Availability Zones
  • Azure Service Health alerts configured for all services in use
  • Autoscaling enabled for stateless compute (VMSS, App Service, AKS node pools)
  • Azure SQL or Cosmos DB multi-region replication configured for mission-critical data
  • Azure Backup or ASR configured for VMs, SQL databases, and critical storage
  • Deployment slots or Traffic Manager canary routing used for production deployments
  • Azure Chaos Studio experiments conducted to validate AZ failure recovery
  • Circuit breaker and retry patterns implemented for external service calls
  • RTO/RPO targets documented and validated via DR drill in the last 12 months

Response Shape

Availability targets review → AZ/region topology → health monitoring → failure tolerance → data resilience → deployment safety → chaos testing status → recommendations → open risks

Official Documentation

Security Notes

Read-only advisory. Do not modify autoscaling policies, backup schedules, or Azure Site Recovery configurations without explicit approval.

What ships with it: 1 file

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