Skip to content

Latest commit

 

History

History
170 lines (123 loc) · 7.98 KB

File metadata and controls

170 lines (123 loc) · 7.98 KB

Azure Compute Whitepapers

This directory contains comprehensive, enterprise-grade whitepapers focused on Azure compute services and container platforms. Each whitepaper provides implementation guidance using Terraform for infrastructure-as-code, with embedded security controls, cost optimization strategies, and operational excellence patterns.

Table of Contents

Overview

These whitepapers target experienced Azure engineers operating production workloads where security, performance, cost optimization, and compliance are mandatory. All architectures emphasize:

  • Infrastructure-as-Code: Terraform (AzureRM provider) as the authoritative provisioning mechanism
  • Security by Design: Private clusters, managed identities, Azure Policy enforcement, network isolation
  • Cost Optimization: Right-sizing, autoscaling, spot nodes, reserved capacity
  • Scope: Azure Commercial by default; FedRAMP High patterns documented where compliance drives architecture
  • Implementation Focus: Production-ready configurations, not theoretical concepts

Whitepapers

Author: Randy Bordeaux | Date: January 2026 | Version: 1.0 | Scope: Commercial, FedRAMP High

Migration and modernization guide covering the transition from VM-based IaaS to containerized PaaS:

  • VM operational overhead and compliance audit scope challenges
  • AKS, Azure Container Apps, and App Service for Containers comparison
  • Shared responsibility model and FedRAMP audit scope reduction
  • Cost savings (30-50%) and operational overhead reduction (60%)
  • NIST 800-53 control alignment and Defender for Containers integration

Key Topics: Container PaaS, AKS, Azure Container Apps, App Service for Containers, FedRAMP High, shared responsibility, cost optimization, compliance audit scope

Azure Services: Azure Kubernetes Service, Azure Container Apps, Azure App Service, Azure Container Registry, Azure Monitor, Virtual Machine Scale Sets


Author: Randy Bordeaux | Date: January 2026 | Version: 1.0 | Scope: Commercial

Comprehensive VM optimization guide covering:

  • VM series selection and sizing methodology
  • Availability sets, availability zones, and proximity placement groups
  • Managed disk configuration and caching strategies
  • Network optimization and accelerated networking
  • Backup, disaster recovery, and patch management
  • Cost reduction strategies (20-40% typical savings)

Key Topics: Azure Virtual Machines, VM Scale Sets, managed disks, availability zones, Azure Backup, Azure Monitor, right-sizing

Azure Services: Azure Virtual Machines, Azure Disk Storage, Azure Monitor, Virtual Machine Scale Sets


AKS Architecture Briefs

Concise, decision-oriented architecture briefs for production-grade AKS deployments. These are not full whitepapers — see the architecture brief template.

📖 View AKS Architecture Briefs collection →

# Document Key Topics
1 Cluster Architecture and Node Pool Design System/user pool isolation, cluster topology, scaling boundaries
2 Networking Models: Kubenet vs Azure CNI CNI selection, IP planning, private clusters, traffic flow
3 Identity and RBAC Integration Entra ID integration, workload identity, Kubernetes RBAC
4 Security Hardening and Policy Enforcement Azure Policy add-on, pod security, image supply chain
5 Monitoring, Logging, and Observability Container Insights, diagnostic settings, alerting
6 Cost Optimization Strategies Right-sizing, cluster autoscaler, spot nodes, reserved capacity

Series Scope: Azure Commercial | Document Type: Architecture Brief | Author: Randy Bordeaux


Planned Topics

  1. Azure Virtual Desktop Enterprise Deployment (Planned)
  2. Azure Container Apps Production Patterns (Planned)
  3. Serverless Architecture with Azure Functions (Planned)
  4. Hybrid Compute Solutions (Planned)
  5. Azure Batch for High-Performance Computing (Planned)

Document Standards

All whitepapers in this directory follow these standards:

Metadata Header

**Author:**
**Date:**
**Version:**
**Azure Services:** [List of Azure services covered]
**Scope:** [Commercial | Commercial + FedRAMP High]

Document Structure

  1. Executive Summary — Overview and business context
  2. Introduction — Scope, assumptions, architectural principles
  3. Problem Statement — Challenges and business impact
  4. Solution Overview — High-level solution and success criteria
  5. Technical Architecture — Mermaid diagrams and design patterns
  6. Implementation Guide — Step-by-step Terraform configurations
  7. Best Practices — Proven patterns and recommendations
  8. Security Considerations — Embedded security controls
  9. Cost Optimization — Pricing models and cost reduction strategies
  10. Monitoring and Maintenance — KQL queries, alerts, operational tasks
  11. Conclusion — Summary and key outcomes
  12. References — Official Microsoft documentation links
  13. Appendices — Commands, scripts, additional reference material

Technical Requirements

  • Terraform: Infrastructure defined as code (HCL syntax)
  • Scope: Declare Commercial or regulated scope in metadata
  • Security: Private clusters, managed identities, Azure Policy where applicable
  • Mermaid Diagrams: Architecture visualizations
  • KQL Queries: Log Analytics queries for monitoring (full whitepapers)
  • Azure CLI: Bash commands for operations

Audience

Experienced Azure engineers, platform teams, and cloud architects operating production compute workloads with requirements for:

  • Enterprise-grade security and compliance
  • Cost optimization and governance
  • High availability and disaster recovery
  • Container orchestration and modernization
  • Infrastructure-as-code and GitOps workflows

Contributing

When adding new whitepapers to this directory:

  1. Follow the template structure — All 12 sections required for full whitepapers
  2. Include metadata header — Author, date, version, Azure services, scope
  3. Use Terraform for IaC — AzureRM provider, HCL syntax
  4. Create Mermaid diagrams — Architecture flows and decision trees
  5. Provide KQL queries — Log Analytics monitoring queries
  6. Azure CLI examples — Operational commands
  7. Cost analysis — Pricing models and optimization strategies
  8. Security embedded — Private endpoints, encryption, RBAC throughout
  9. Update this README — Add entry with description and key topics

Quality Checklist

  • Metadata header complete (including scope)
  • Executive summary under 500 words
  • Table of contents with working anchor links
  • 3+ Mermaid diagrams in Technical Architecture
  • Terraform modules with complete configuration
  • Security considerations with managed identities and network isolation
  • Cost optimization with pricing table
  • KQL queries for monitoring
  • Azure CLI commands in appendices
  • References to official Microsoft documentation
  • No marketing language — technical focus only

Last Updated: August 2026 Maintainer: Randy Bordeaux