| Decision Making | L31-L42 | Guidance on choosing Azure confidential computing options: VMs (AMD/Intel), containers, GPUs, deployment models, capabilities, products, and use cases for secure workloads. |
| Architecture & Design Patterns | L43-L52 | Architectural patterns and design guidance for using Azure confidential VMs, SGX enclaves, AKS, and multi-party analytics to build secure AI and containerized workloads. |
| Limits & Quotas | L53-L58 | Intel SGX capacity, quotas, and sizing for Azure confidential computing: AKS confidential node limits, SGX VM sizing guidance, and FAQ on SGX resource constraints. |
| Security | L59-L74 | Security, attestation, and key/secrets management for Azure confidential workloads: SGX enclaves, CVMs, vTPM, AKS confidential containers, clean rooms, and hardening Linux images. |
| Configuration | L75-L86 | Configuring and deploying Azure confidential VMs and containers (AKS SGX, VMMD blob, CMK rotation, ARM/CLI), plus Secure Key Release policies and Virtual Machine Metablob Disk usage. |
| Integrations & Coding Patterns | L87-L97 | Coding patterns and samples for building, running, and attesting Intel SGX/AMD SEV-SNP confidential apps and containers, including SKR flows, tools, and Fortanix/Key Vault integrations. |
| Deployment | L98-L106 | How to deploy and migrate Azure confidential VMs/VMSS and AKS (SGX and confidential node pools), create custom images, and set up Fortanix CCM using CLI and ARM templates. |