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High-Availability VM Architecture

PRJ-AZURE-INFRA-065

Resilient compute infrastructure with 99.99% SLA

~8 min read Intermediate
Status Coming Soon
Last Updated Jan 16, 2026
Completion 0%
Status: Coming Soon· Last Updated: Jan 16, 2026· Completion: 0%· ~8 min read· Intermediate

Implementation Guide

Comprehensive step-by-step deployment guide

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Estimated Monthly Cost

~$38/mo on minimal config
VMs $20VNet $0Monitor $8Storage $10
Business ContextUnplanned downtime of critical applications due to single points of failure in t…

The Problem

  • Unplanned downtime of critical applications due to single points of failure in traditional VM deployments, leading to significant operational disruption and revenue loss.
  • Inability to meet stringent service level agreements (SLAs) for application availability, impacting customer trust and regulatory compliance.
  • Manual and time-consuming recovery processes after infrastructure failures, increasing Mean Time To Recovery (MTTR) and operational overhead.

The Solution

  • Deployment of Azure Virtual Machines across multiple Azure Availability Zones to ensure fault isolation and resilience against datacenter-level failures.
  • Implementation of Azure Load Balancer to distribute incoming application traffic across healthy VMs, enhancing application responsiveness and fault tolerance.
  • Utilization of Azure VM Scale Sets for automatic scaling and self-healing capabilities, dynamically adjusting compute capacity based on demand and replacing unhealthy instances.

Business Value

  • Achieves a 99.99% uptime SLA for critical applications, minimizing business interruption and ensuring continuous service delivery.
  • Reduces potential revenue loss from downtime by an estimated 25-30% annually through enhanced infrastructure resilience.
  • Decreases operational costs by automating VM scaling and recovery processes, leading to a 15% reduction in manual intervention.
  • Improves customer satisfaction and trust by providing highly available and consistently performing services.

Risk Mitigation

  • Mitigates the risk of application unavailability due to infrastructure failures by distributing VMs across physically separate Availability Zones.
  • Addresses performance bottlenecks and service degradation during peak loads through automated scaling with VM Scale Sets.
  • Reduces the risk of data path disruption and single points of failure by intelligently routing traffic with Azure Load Balancer.
  • Ensures business continuity and disaster recovery capabilities for critical compute resources.
GRC MappingISO 27001:2022 (A.5.14 Redundancy, A.8.6 Capacity Management)…

Compliance Frameworks

  • ISO 27001:2022 (A.5.14 Redundancy, A.8.6 Capacity Management)
  • NIST SP 800-53 Rev. 5 (CP-2 Contingency Plan, SC-5 Denial of Service Protection)
  • CSA CCM v4 (BCM-01 Business Continuity Planning, IVS-01 Infrastructure Vulnerability Scanning)

Security Controls Implemented

  • Fault Tolerance (Availability Zones): Critical VMs are deployed across distinct Azure Availability Zones, providing physical and logical isolation to prevent single points of failure.
  • Load Balancing (Azure Load Balancer): Traffic is distributed across multiple healthy VM instances, preventing overload and ensuring continuous service delivery even if individual instances fail.
  • Automated Scaling (VM Scale Sets): Automatically adjusts the number of VM instances based on predefined metrics, ensuring optimal performance and availability while preventing resource exhaustion.
  • Health Monitoring & Self-Healing (VM Scale Sets): Integrated health probes detect unhealthy VM instances, which are automatically replaced or repaired to maintain the desired service level.
  • Network Segmentation (Azure Virtual Network): VMs are deployed within a secure Azure Virtual Network, allowing for granular control over network traffic and isolation from public internet.

Audit Evidence

  • Azure Resource Manager (ARM) templates and deployment scripts for infrastructure as code (IaC) configuration.
  • Azure Monitor logs and metrics demonstrating VM uptime, load balancer health probes, and VM Scale Set scaling events.
  • Network security group (NSG) flow logs and Azure Firewall logs detailing traffic patterns and access controls.
  • Architecture diagrams and design documents illustrating the multi-zone deployment and high-availability configuration.

Regulatory Alignment

  • GDPR (Article 32 - Security of processing): Ensures resilience of processing systems and services, and the ability to restore availability in a timely manner in the event of a physical or technical incident.
  • HIPAA (45 CFR § 164.308(a)(7)(ii)(B) - Data Backup and Disaster Recovery): Supports the ability to recover data in the event of system failure, crucial for protected health information (PHI).
  • PCI DSS v4.0 (Requirement 2.2 - Configure all system components securely): Implements secure configurations for all Azure services, including VMs, load balancers, and scale sets, to protect cardholder data.

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Architecture Diagram

PRJ-AZURE-INFRA-065 Architecture

Technology Stack

Availability Zones
Load Balancer
VM Scale Sets
HA

Complete Documentation

Prerequisites

Contributor or Owner role
Azure CLI 2.x configured
Terraform >= 1.5 (optional)
Active Azure subscription
Service Principal with RBAC
1

Clone & Authenticate

Clone the repository and authenticate with Azure CLI using your service principal or interactive login.

az login && az account set --subscription 
2

Review RBAC Assignments

Review the required role assignments and ensure your identity has the correct permissions in the target resource group.

az role assignment list --assignee 
3

Initialize Infrastructure

Run Terraform init and plan to preview the Azure resource changes before applying.

terraform init && terraform plan -out=tfplan
4

Deploy Resources

Apply the Terraform plan to provision all Azure resources in your target subscription.

terraform apply tfplan
5

Verify & Monitor

Verify the deployment in the Azure Portal and check Azure Monitor for any alerts or issues.

az monitor activity-log list --resource-group 

Deployment Guide

Step-by-step instructions to deploy this project

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Architecture Diagram

Visual representation of the system architecture

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Source Code

Complete source code and configuration files

View on GitHub

Video Tutorial

Watch the complete walkthrough video

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