← ClaudeAtlas

cloud-architecture-azurelisted

Azure service-level architecture knowledge — compute (Container Apps/AKS/Functions), data (PostgreSQL Flexible Server/Cosmos DB), messaging (Service Bus/Event Grid/Event Hubs), edge (Front Door/API Management), identity (Entra), storage + secrets (Blob/Key Vault/ACR), and Azure OpenAI. Cost models, service limits, failure modes, and cold-start gotchas. Activate when the active cloud is Azure and the work involves designing, scaling, costing, or diagnosing Azure architecture (Container Apps cold starts, PostgreSQL connection limits, Service Bus quotas, Front Door, NAT egress).
eric-sabe/engsys · ★ 1 · DevOps & Infrastructure · score 67
Install: claude install-skill eric-sabe/engsys
# Azure Architecture Knowledge Service-level detail for an Azure-backed project. Pairs with Melvin's cloud-agnostic diagnostic checklist (traffic pattern, state location, SLAs, blast radius, cost explosion, coordination, limits, observability) — this pack supplies the Azure-specific answers. For concrete topology, cost tiers, and stack context, read the architecture docs named in `CLAUDE.md`. For deep service docs use the `microsoft-docs` skill (Microsoft Learn MCP). ## Compute ### Azure Container Apps (ACA) - Serverless containers on managed Kubernetes (KEDA-based autoscaling). **Scale to zero** is the cost win — and the latency trap: a scaled-to-zero app pays a **cold start** (image pull + container start, seconds) on the next request. For latency- sensitive services set **`minReplicas >= 1`** (a warm replica) — the ACA analogue of provisioned concurrency. - **Revisions:** each config/image change creates a revision; traffic-split between them for blue/green and canary. The phantom "revision nobody recognizes" is usually a stale active revision still taking traffic — check the revision list and traffic split. - **Scaling:** KEDA scale rules on HTTP concurrency, CPU/memory, or queue length (Service Bus, etc.). Per-app and per-environment replica ceilings apply — know them before you bet a spike on autoscale. - **Good for:** microservices, HTTP APIs, queue/event workers. Prefer it over AKS unless you genuinely need Kubernetes primitives. ### AKS - Full