Run a Well-Architected Framework (WAF) review against Azure resources in scope. Use when asked about best practices, architecture review, WAF assessment, or pillar compliance (Reliability, Security, Cost, Operational Excellence, Performance Efficiency).
Audit Azure environment for compliance and governance posture. Checks Azure Policy, RBAC, tagging, resource locks, naming conventions, and regulatory alignment. Use when asked about compliance, governance, audit readiness, or policy violations.
Assess Azure resource capacity, quota utilization, and growth trends to prevent outages from resource exhaustion. Use when asked about capacity, quotas, scaling readiness, load testing prep, Black Friday readiness, or growth projections.
Comprehensive FinOps analysis combining cost optimization, waste identification, and chargeback reporting. Use when asked about reducing Azure spend, finding unused resources, cost per team, chargeback, showback, cost anomalies, rightsizing, or monthly cost review.
Generate a blameless incident postmortem from the current or recent SRE Agent investigation. Use after an incident is resolved, when asked for a postmortem, RCA report, incident review, or lessons learned document.
Monitor and improve Microsoft Defender for Cloud Secure Score. Tracks score trends, identifies quick wins to improve the score, checks Defender plan coverage, and highlights critical security recommendations. Use when asked about secure score, security posture, Defender status, or security improvements.
Assess Azure governance maturity for Digital Natives and startups. Detects the most common anti-patterns from the "Digital Natives on Azure" series: incomplete Service Health alerts, flat subscription topology without Management Groups, excessive RBAC (everyone is Owner), missing budget alerts, no Managed Identity usage, unprotected web apps without WAF/DDoS, and missing environment separation. Produces a scored maturity report (Foundation → Developing → Established → Optimized). Use when asked about startup readiness, governance maturity, "are we production-ready?", or before a customer security questionnaire.
Assess security, reliability, and cost posture of Azure OpenAI and Microsoft Foundry deployments. Detects critical anti-patterns: API keys instead of Managed Identity, public endpoints without firewall, disabled content filtering, missing diagnostic settings, deprecated model versions, over-provisioned PTU, absence of AI Gateway (APIM) for rate limiting, shared dev/prod deployments, quota exhaustion risk, 429 throttling rates, runaway token consumption, and single-region deployment. Use when asked about AI workload security, OpenAI best practices, Foundry health check, model deployment review, AI cost optimization, quota monitoring, or throttling analysis.