Azure Virtual Machines Tutorial: Architecture, Pricing, Use Cases, and Hands-On Guide for Compute

1. Introduction

Azure Virtual Machines is Azure’s primary infrastructure-as-a-service (IaaS) compute offering for running Windows and Linux servers in the cloud. You choose an OS image and a VM size (CPU/RAM), attach disks, connect networking, and manage the guest operating system much like you would in an on‑premises virtualization environment—without owning physical hardware.

In simple terms: Virtual Machines lets you rent a server in Azure. You control the OS, installed software, firewall rules inside the OS, and most configuration within the VM. Azure controls the underlying physical hosts, datacenter facilities, and much of the platform reliability, while giving you building blocks (networking, disks, identity, monitoring) to run production workloads.

Technically, Virtual Machines is a regional compute service that deploys VM instances into an Azure region (and optionally into Availability Zones within that region). Each VM connects to a virtual network (VNet) through a network interface (NIC), uses managed disks for OS and data storage, and is governed through Azure control plane APIs (ARM) with access controlled by Azure RBAC. VMs integrate tightly with services like Azure Virtual Network, Azure Load Balancer, Azure Bastion, Azure Monitor, Azure Backup, and Microsoft Defender for Cloud.

Virtual Machines solves the problem of running workloads that need: – Full OS control (custom packages, kernel modules, legacy services) – Lift-and-shift migration from on-premises virtualization – Predictable compute performance (specific CPU/memory/GPU configurations) – Network control (static private IP, custom routing, NVA appliances) – Compatibility with software not suited to containers or PaaS

Service name status: The official product is commonly referred to as Azure Virtual Machines. The service is active and current. This tutorial uses Virtual Machines as the primary name exactly, while referencing “Azure Virtual Machines” when pointing to official documentation.

2. What is Virtual Machines?

Official purpose

Virtual Machines provides on-demand, scalable compute instances in Azure where you manage the guest OS and applications. It supports both Linux and Windows VMs, a wide range of VM families/sizes, and deep integration with Azure networking, storage, security, and governance.

Official documentation entry point: https://learn.microsoft.com/azure/virtual-machines/

Core capabilities

Create and run Linux/Windows VMs from marketplace or custom images
Select from many VM sizes (general purpose, memory optimized, compute optimized, GPU, HPC)
Attach managed disks (OS disk + data disks), snapshots, and images
Place VMs in Availability Zones or Availability Sets for resiliency
Secure access with SSH keys, RDP, Azure Bastion, Just-In-Time access (via Defender for Cloud), and network controls (NSG)
Extend VMs using VM extensions (custom scripts, agents)
Integrate with Azure Monitor, Backup, Update management (Verify in official docs for current tooling), and security services

Major components

VM resource: The compute instance definition (size, OS profile, availability, boot settings)
Image: Marketplace image (Ubuntu, Windows Server, etc.) or custom image (Managed Image, Shared Image Gallery / Azure Compute Gallery)
Managed disks:
OS disk (required)
Data disks (optional)
Disk types like Standard HDD/SSD, Premium SSD, Premium SSD v2, Ultra Disk (availability varies—verify in official docs)
Networking:
VNet/Subnet
NIC with private IP (and optional public IP)
Network Security Group (NSG) rules
Optional Load Balancer / Application Gateway
Identity & access:
Azure RBAC for control plane
Optional Managed Identity for the VM to access Azure resources without secrets
Management agents:
VM Agent (used by many extensions; typically installed for supported images)
Azure Monitor Agent (for logs/metrics; configuration depends on your monitoring setup)

Service type

Compute (IaaS) service.
You manage: guest OS, patching strategy, runtime configuration, software, and in-VM hardening.
Azure manages: physical hosts, hypervisor, datacenter infrastructure, and core platform control plane.

Scope: regional / zonal

Virtual Machines are regional resources, deployed into a region.
You can optionally pin instances to an Availability Zone (zonal deployment) in regions that support zones.
Many related resources (disks, NICs, public IPs) are regional; some can be zonal (for example, zonal VMs and zonal disks, depending on configuration and region—verify in official docs).

How it fits into the Azure ecosystem

Virtual Machines is a foundational building block for: – Network architectures in Azure Virtual Network – Storage-backed workloads using Azure managed disks – Hybrid migration using tools like Azure Migrate (service separate but commonly used) – Security and governance through Azure Policy, Defender for Cloud, Key Vault, and Entra ID – Observability and operations via Azure Monitor, Log Analytics, and alerts

3. Why use Virtual Machines?

Business reasons

Fast time-to-value: Provision servers in minutes without procuring hardware.
Hybrid modernization: Move existing applications to the cloud first, then modernize incrementally.
License flexibility: Options like Azure Hybrid Benefit can reduce cost for eligible Windows Server/SQL Server licenses (eligibility and rules vary—verify in official docs).
Global reach: Deploy into Azure regions near users and systems of record.

Technical reasons

Full OS control for custom agents, drivers, legacy dependencies, or specialized networking.
Predictable compute shapes (vCPU, RAM, disk performance) with VM families tailored to workload types.
Broad OS support: Linux distributions, Windows Server editions, and marketplace appliances.
Low-level networking: Multiple NICs (on certain sizes), static IPs, custom routes, and NVAs.

Operational reasons

Familiar model for ops teams used to servers and virtualization.
Automation with ARM/Bicep, Terraform, Azure CLI, and VM extensions.
Mature monitoring/alerting with Azure Monitor integration.
Backup and DR patterns using Azure Backup and Azure Site Recovery (separate services).

Security/compliance reasons

Network isolation in VNets, NSGs, and private subnets.
Security baselines and posture management with Microsoft Defender for Cloud.
Confidential and secure boot options exist in Azure for some scenarios (e.g., Trusted Launch; Confidential VMs in certain families—verify availability and requirements in official docs).
Auditing via Azure Activity Log (control plane) and guest logs (data plane).

Scalability/performance reasons

Vertical scale by resizing a VM to a larger SKU.
Horizontal scale by deploying multiple VMs behind a load balancer (or by using Virtual Machine Scale Sets as the specialized scaling service).
Specialized SKUs for HPC, GPU, and memory-heavy workloads.

When teams should choose Virtual Machines

Choose Virtual Machines when you need: – Custom OS configuration or system-level control – Lift-and-shift migrations (VMware/Hyper-V style workloads) – Stateful workloads that fit VM patterns (databases, proprietary apps) – Network appliances (firewalls, proxies) from the marketplace – Compliance constraints requiring explicit OS-level controls

When teams should not choose Virtual Machines

Avoid Virtual Machines when: – You can use a PaaS service (less patching/ops burden), such as Azure App Service, Azure SQL, or Azure Functions. – You primarily need container orchestration: consider AKS or Azure Container Apps. – You need massive elastic scale with minimal administration: serverless or managed platforms may be a better fit. – You cannot commit to OS patching, vulnerability management, and backup discipline.

4. Where is Virtual Machines used?

Industries

Financial services (risk models, legacy trading systems, hardened environments)
Healthcare (line-of-business apps needing OS control, compliance-driven segmentation)
Retail and e-commerce (custom apps, seasonal scale behind load balancers)
Manufacturing/industrial (SCADA-related services, gateway appliances, hybrid connectivity)
Media and gaming (GPU rendering, build farms, game backend servers)
Public sector (regulated workloads, custom security baselines)

Team types

Platform engineering teams building shared compute platforms
DevOps/SRE teams operating services needing OS-level control
Security teams deploying network/security appliances
Data science teams using GPU/HPC VM families
Migration teams moving workloads from on-prem to Azure

Workloads

Web/app tiers (Nginx/Apache/IIS, Java/.NET apps)
Batch processing, CI runners, build agents
Databases (when managed DB isn’t possible; requires strong ops practices)
Caching layers, message brokers, proprietary middleware
Domain controllers and identity-related services (plan carefully; consider cloud-native alternatives where possible)
Virtual network appliances (firewalls, WAF, routing)

Architectures

2-tier and 3-tier application architectures
Hub-and-spoke networking with shared services
High availability with Availability Zones + load balancers
Disaster recovery using Azure Site Recovery (separate service)
Hybrid architectures with VPN Gateway/ExpressRoute

Production vs dev/test usage

Dev/test: small VM sizes, short lifetimes, automation, scheduled shutdown (automation) to reduce cost.
Production: multi-zone or availability set design, least privilege access, hardened images, backups, patch orchestration, and continuous monitoring.

5. Top Use Cases and Scenarios

Below are realistic Virtual Machines use cases. Each includes the problem, why Virtual Machines fits, and an example scenario.

1) Lift-and-shift migration of on-prem servers

Problem: On-prem hardware refresh is due; apps cannot be refactored quickly.
Why Virtual Machines fits: Same “server” model with OS control; works well with migration tooling and familiar ops.
Example: Move a Windows Server IIS application with COM components into Azure Virtual Machines while planning a longer-term modernization.

2) Running legacy software requiring OS-level access

Problem: Application requires specific drivers, services, or registry/kernel settings.
Why Virtual Machines fits: Full administrative control over OS and software stack.
Example: Deploy a vendor app requiring a specific Linux kernel module and custom sysctl settings.

3) Highly customized Nginx reverse proxy / ingress

Problem: Need advanced Nginx modules, custom TLS policies, and routing.
Why Virtual Machines fits: Full control of Nginx build, modules, and OS-level tuning.
Example: Run Nginx with custom Lua modules and strict cipher suites as an ingress layer for internal services.

4) Network virtual appliances (firewall, router, proxy)

Problem: Need a third-party appliance image for advanced routing or security inspection.
Why Virtual Machines fits: Azure Marketplace provides many appliance images deployed as VMs.
Example: Deploy a firewall appliance VM in a hub VNet to inspect traffic between spokes.

5) Self-managed database when managed DB is not possible

Problem: App depends on a database version/extension not available in managed services.
Why Virtual Machines fits: Control the database version and configuration.
Example: Run a specific PostgreSQL version with custom extensions on a Linux VM (with backups, monitoring, and HA designed by you).

6) CI/CD runners and ephemeral build agents

Problem: Build jobs need dedicated CPU/RAM, custom tooling, or isolated environments.
Why Virtual Machines fits: Provision VMs on demand; customize toolchains; scale with automation.
Example: Create ephemeral Ubuntu VMs for build pipelines, tearing them down after completion to reduce risk and cost.

7) GPU workloads (rendering, ML inference, VDI graphics)

Problem: Workload needs GPU acceleration and vendor-specific drivers.
Why Virtual Machines fits: GPU VM families support NVIDIA/AMD options; OS-level driver control.
Example: Use GPU VMs to run inference services that require CUDA libraries.

8) High-performance computing (HPC) batch workloads

Problem: Need high core counts, fast interconnect, tuned compute shapes.
Why Virtual Machines fits: Specialized compute SKUs and placement options can support HPC patterns (verify region/SKU availability).
Example: Spin up a short-lived compute cluster to run Monte Carlo simulations.

9) Jump host / bastion-like admin box (controlled)

Problem: Admins need controlled access to private resources.
Why Virtual Machines fits: A hardened admin VM can be placed in a management subnet; however, Azure Bastion may be better (PaaS).
Example: Use a locked-down Linux VM with no public IP, accessed only via Azure Bastion, to manage private subnets.

10) Domain services or legacy identity dependencies

Problem: Some apps depend on Windows domain membership or legacy LDAP integrations.
Why Virtual Machines fits: Allows running Windows Server domain services; requires careful HA and security design.
Example: Deploy domain controllers across availability zones for resiliency (ensure correct AD architecture and replication design).

11) Software licensing that requires dedicated compute controls

Problem: Vendor license requires node-locked licensing or specific server identifiers.
Why Virtual Machines fits: More control over OS and instance configuration; in some cases dedicated options help (e.g., Dedicated Host—separate feature/service).
Example: Run a license-server VM with strict firewall rules and controlled outbound traffic.

12) Stateful services that need local disk performance patterns

Problem: Need high IOPS/throughput or local ephemeral performance for caches.
Why Virtual Machines fits: Options for managed disks and sometimes ephemeral OS disks; cache and data patterns can be tuned (limitations apply).
Example: Use a VM with premium disks for a high-IOPS workload; keep ephemeral data on temporary storage.

6. Core Features

This section focuses on current, commonly used Virtual Machines features. Availability and exact limits vary by region and VM family—verify in official docs where needed.

1) VM sizes and families (SKU selection)

What it does: Lets you choose vCPU, memory, disk/network performance characteristics via VM size.
Why it matters: Performance and cost depend heavily on SKU choice.
Practical benefit: Right-sizing can reduce spend and improve stability.
Caveats: Some SKUs are region-limited; quotas (vCPU) apply per region. Accelerated networking and multiple NICs depend on SKU.

2) Linux and Windows marketplace images

What it does: Deploy supported OS images (Ubuntu, RHEL, Debian, SUSE, Windows Server, etc.) and many marketplace appliances.
Why it matters: Faster, standardized provisioning with known baselines.
Practical benefit: Consistent builds; easier automation.
Caveats: Licensing differs by image (Windows and some Linux distros). Image availability varies by region.

3) Custom images and Azure Compute Gallery (formerly Shared Image Gallery)

What it does: Store and distribute your golden images and versions.
Why it matters: Ensures consistent OS hardening, agents, and packages across environments.
Practical benefit: Faster provisioning; fewer configuration drifts.
Caveats: Image versioning/replication strategy affects rollout time and storage cost.

Official docs entry point (gallery): https://learn.microsoft.com/azure/virtual-machines/azure-compute-gallery/

4) Managed disks (OS and data disks)

What it does: Provides persistent block storage managed by Azure (no storage account management for typical disk usage).
Why it matters: Disk performance/reliability is central to VM stability.
Practical benefit: Snapshots, disk encryption options, scalability.
Caveats: Disk performance tiers and maximums vary; some high-end disks require specific VM sizes. Premium tiers cost more.

Managed disks docs: https://learn.microsoft.com/azure/virtual-machines/managed-disks-overview

5) Availability options (Availability Zones and Availability Sets)

What it does: Increases resilience against host, rack, or datacenter failures.
Why it matters: A single VM is a single point of failure for most production apps.
Practical benefit: Higher uptime when combined with load balancing and multi-instance design.
Caveats: Zones are not available in all regions. Availability Sets are a legacy-but-still-used pattern in non-zonal regions or specific architectures.

Availability docs: https://learn.microsoft.com/azure/virtual-machines/availability

6) VM networking: VNets, NICs, NSGs, and load balancing

What it does: Integrates VMs into private networks, controls inbound/outbound traffic, and supports load-balanced architectures.
Why it matters: Networking defines reachability and security posture.
Practical benefit: Private subnets, segmentation, controlled egress, scalable front ends.
Caveats: Exposing public IPs increases attack surface; outbound connectivity design can have cost implications.

7) Azure Bastion integration (recommended for admin access)

What it does: Provides browser-based RDP/SSH over TLS without exposing VM public IPs.
Why it matters: Reduces direct inbound exposure.
Practical benefit: Easier secure administration, centralized access.
Caveats: Azure Bastion is a separate service with its own pricing.

Bastion docs: https://learn.microsoft.com/azure/bastion/

8) VM extensions

What it does: Adds post-deploy configuration via extensions (Custom Script, monitoring agents, domain join, etc.).
Why it matters: Automation and consistent configuration.
Practical benefit: Repeatable provisioning and integration with operational tooling.
Caveats: Extension failures can occur due to networking/DNS, permissions, or agent issues; treat extensions as code and monitor status.

Extensions docs: https://learn.microsoft.com/azure/virtual-machines/extensions/overview

9) Managed identities for Azure resources

What it does: Gives the VM an identity in Microsoft Entra ID to access Azure services (Key Vault, Storage, etc.) without storing secrets.
Why it matters: Reduces secret sprawl and credential risk.
Practical benefit: Cleaner auth for scripts/apps running inside VMs.
Caveats: Requires correct RBAC assignments; doesn’t replace app-level authorization design.

Managed identities docs: https://learn.microsoft.com/azure/active-directory/managed-identities-azure-resources/overview

10) Security features: Trusted Launch, secure boot, vTPM (where supported)

What it does: Helps protect against boot-level threats with verified boot features on supported VM generations.
Why it matters: Reduces risk from rootkits/bootkits.
Practical benefit: Stronger baseline for sensitive workloads.
Caveats: Availability depends on VM generation/size and region; verify compatibility and limitations in official docs.

Trusted Launch docs: https://learn.microsoft.com/azure/virtual-machines/trusted-launch

11) Azure Spot Virtual Machines

What it does: Uses spare Azure capacity at lower cost with eviction risk.
Why it matters: Can drastically reduce cost for interruptible workloads.
Practical benefit: Cheap batch compute, CI, dev/test.
Caveats: Not suitable for critical stateful services without interruption handling.

Spot docs: https://learn.microsoft.com/azure/virtual-machines/spot-vms

12) Reserved VM Instances / Savings Plan for Compute (cost commitments)

What it does: Discounts in exchange for commitment (reservation) or spend commitment (savings plan).
Why it matters: VMs are often a large cost center.
Practical benefit: Lower long-running production costs.
Caveats: Terms, scope, and eligibility vary; review official pricing guidance.

Pricing guidance (entry): https://azure.microsoft.com/pricing/details/virtual-machines/

13) Monitoring integration (Azure Monitor)

What it does: Collects metrics and logs; enables alerts and dashboards.
Why it matters: You need visibility into CPU, disk, network, and OS events for reliability.
Practical benefit: Faster troubleshooting and proactive incident response.
Caveats: Log ingestion and retention can add costs; agent configuration requires planning.

Azure Monitor docs: https://learn.microsoft.com/azure/azure-monitor/

14) Backup and disaster recovery integrations

What it does: Azure Backup can protect VM data; Azure Site Recovery can replicate VMs for DR (separate services).
Why it matters: VM workloads need explicit backup/restore and DR planning.
Practical benefit: Reduced recovery time and data loss risks.
Caveats: Costs scale with data size, retention, and replication; test restores regularly.

Azure Backup docs: https://learn.microsoft.com/azure/backup/backup-azure-vms-introduction
Azure Site Recovery docs: https://learn.microsoft.com/azure/site-recovery/

7. Architecture and How It Works

High-level service architecture

Virtual Machines uses a control plane (Azure Resource Manager APIs) to define and manage VM resources and a data plane (your VM guest OS traffic) where your applications run.

Control plane actions:
Create VM, stop/start, resize, attach disks, configure NICs, set tags
Governed by Azure RBAC, Azure Policy, and Activity Logs
Data plane actions:
SSH/RDP to VM
Application traffic (HTTP, gRPC, database ports)
OS-level monitoring/logging generated inside the VM

Request/data/control flow (typical)

You (or pipeline) call Azure APIs (Portal/CLI/Terraform/Bicep) to create the VM.
Azure provisions compute, allocates network interface, and attaches managed disks.
VM boots from the selected image; cloud-init (Linux) or custom data (Windows) may run.
VM extensions/agents can install and configure software.
Users/services send traffic to the VM via: – Private IP within VNet, or – Public IP (not recommended for admin access), or – Load balancer / application gateway
Monitoring agents send logs/metrics to Azure Monitor / Log Analytics (optional).
Admins manage patching, configuration, and security inside the guest OS.

Integrations with related services

Common integrations include: – Azure Virtual Network: subnets, routing, peering, private endpoints (for other services), VPN/ExpressRoute – Azure Load Balancer / Application Gateway: distribute traffic and provide HA – Azure Bastion: secure admin access without public IPs – Azure Monitor: metrics, logs, alerts – Microsoft Defender for Cloud: security posture, JIT access, recommendations (features vary by plan—verify) – Azure Backup: VM backup and restore – Key Vault: secret/certificate storage (usually accessed via managed identity) – Azure Policy: enforce tagging, allowed SKUs, disk encryption requirements, etc.

Dependency services

Virtual Machines commonly depends on: – Azure Resource Manager (deployment/control plane) – Virtual Network (network connectivity) – Managed Disks (storage) – DNS (Azure-provided DNS or custom) – Identity: Microsoft Entra ID for RBAC and managed identities

Security/authentication model

Azure RBAC governs management operations (create/stop/resize, read secrets, etc.)
In-VM auth (SSH keys, local accounts, domain accounts) governs guest access
Managed identity can be used for VM-to-Azure service authentication

Networking model

Each VM connects to a VNet via NIC(s).
Traffic is controlled by NSGs at subnet and NIC level.
Inbound patterns:
Private-only (recommended)
Public IP (use for app front ends; avoid for admin)
Load balancer / application gateway
Outbound patterns:
Direct outbound (simple)
NAT Gateway / firewall for controlled egress (recommended for production)

Monitoring/logging/governance considerations

Use Azure Activity Log for subscription-level control plane auditing.
Use resource diagnostic settings where available (many are resource-specific).
Use Azure Monitor metrics for quick signals (CPU, network, disk).
Use Log Analytics for centralized OS/app logs (cost-managed).
Use tags and naming conventions for cost allocation and operations.

Simple architecture diagram (Mermaid)

flowchart LR
  U[Admin/User] -->|HTTPS (Portal/CLI)| ARM[Azure Resource Manager]
  ARM --> VM[Virtual Machines: VM Instance]

  U -->|SSH/RDP or App Traffic| PIP[Public IP (optional)]
  PIP --> VM

  VM --> DISK[Managed Disks]
  VM --> VNET[Virtual Network/Subnet]
  VNET --> NSG[Network Security Group]

Production-style architecture diagram (Mermaid)

flowchart TB
  Internet((Internet)) --> WAF[Application Gateway (WAF optional)]
  WAF --> LB[Azure Load Balancer / AppGW backend]
  LB --> VM1[VM in Zone 1]
  LB --> VM2[VM in Zone 2]

  subgraph VNet[Azure Virtual Network]
    subgraph WebSubnet[Web Subnet]
      VM1
      VM2
      NSG1[NSG: Web Subnet]
    end

    subgraph MgmtSubnet[Management Subnet]
      Bastion[Azure Bastion]
      NSG2[NSG: Mgmt Subnet]
    end

    subgraph DataSubnet[Data Subnet]
      DBVM[Database VM (optional)]
      NSG3[NSG: Data Subnet]
    end
  end

  Bastion --> VM1
  Bastion --> VM2

  VM1 --> Disk1[Managed Disks]
  VM2 --> Disk2[Managed Disks]
  DBVM --> Disk3[Managed Disks]

  VM1 --> Mon[Azure Monitor Agent]
  VM2 --> Mon
  DBVM --> Mon
  Mon --> LA[Log Analytics Workspace]

  Backup[Azure Backup Vault] --> VM1
  Backup --> VM2
  Backup --> DBVM

8. Prerequisites

Account/subscription/tenant requirements

An active Azure subscription with billing enabled.
A Microsoft Entra ID tenant associated with the subscription (standard for Azure accounts).

Permissions / IAM roles

Minimum required permissions for the lab: – At subscription scope or resource-group scope: – Contributor (to create resource group, network, VM) – If you want to assign RBAC roles to managed identities: – User Access Administrator or Owner (or equivalent delegated permissions)

Principle of least privilege: in production, split roles (network, compute, security, ops) rather than using broad Contributor.

Billing requirements

Virtual Machines, managed disks, and public IPs incur charges.
Consider setting up:
Cost Management budgets
Resource tags for cost allocation

CLI/SDK/tools needed

Azure CLI installed and updated:
Install: https://learn.microsoft.com/cli/azure/install-azure-cli
SSH client (macOS/Linux terminal; Windows PowerShell with OpenSSH)
Optional:
VS Code + Azure extensions
Terraform/Bicep (not required for the main lab)

Region availability

Choose an Azure region near you that supports your chosen VM SKU.
Some features are region-dependent (Availability Zones, Ultra Disk, certain GPU SKUs). Verify in official docs if you rely on a specific feature.

Quotas/limits

vCPU quotas are enforced per region and VM family.
Public IP and NIC limits apply per subscription/region.
If deployment fails due to quota, request quota increase in Azure Portal.

Quota guidance (entry): https://learn.microsoft.com/azure/virtual-machines/quotas

Prerequisite services (for typical deployments)

Azure Virtual Network (VNet), Subnet
Network Security Group (NSG)
Managed disk(s)
Optional: Azure Bastion, Load Balancer, Log Analytics, Backup vault

9. Pricing / Cost

Virtual Machines pricing is usage-based and depends on several dimensions. Exact prices vary by region, VM size, OS licensing, disk type, and your discounts/agreements. Do not rely on fixed numbers—use the official pricing page and calculator.

Official pricing page: https://azure.microsoft.com/pricing/details/virtual-machines/
Pricing calculator: https://azure.microsoft.com/pricing/calculator/

Pricing dimensions (what you pay for)

Compute (VM hours/seconds) – Charged based on VM size and time running (billing granularity and details can change—verify in official docs). – Some VM families cost more due to CPU type, memory, GPU, or performance capabilities.
Operating system licensing – Linux images are often billed as compute-only (depending on distro and support model). – Windows Server typically includes a licensing component in the VM rate unless using Azure Hybrid Benefit (rules apply—verify).
Disks (Managed Disks) – Charged by disk type and provisioned size (and sometimes performance features). – Additional costs can include snapshots and backup storage.
Networking – Inbound data to Azure is typically free, while egress (data out) is charged (rates vary). – Public IPs and load balancers may have associated costs depending on SKU and usage. – Inter-region bandwidth costs more than intra-region.
Monitoring and logging – Azure Monitor metrics are included at a basic level; Log Analytics ingestion and retention can add cost. – Alerts, dashboards, and data retention policies can change monthly spend.
Backup and DR – Azure Backup: cost typically depends on protected instance and backup storage consumed. – Site Recovery: replication and storage costs.
Security services – Defender for Cloud plans can add per-resource charges depending on selected coverage.

Free tier

Azure has a general free account/trial concept and limited free services, but Virtual Machines is not broadly “free” beyond certain promotional credits or limited-time offers. Verify current free offers on Azure’s official free account page: – https://azure.microsoft.com/free/

Major cost drivers

VM size (vCPU/RAM) and runtime (24/7 vs. business hours)
Disk type and provisioned sizes (premium disks can dominate cost)
Egress bandwidth (especially internet-facing services with high outbound traffic)
High availability designs (multiple instances across zones)
Logging volume (high log ingestion rates)
Backup retention length (weeks/months/years)

Hidden or indirect costs to plan for

Public exposure hardening: WAF, DDoS protection options, security tooling
Operational overhead: patching, vulnerability scanning, image pipelines
Idle resources: running VMs with low utilization, unattached disks, old snapshots
IP addresses: static public IPs or unused allocations (pricing varies—verify)

Network/data transfer implications

Architect to minimize costly egress:
Keep dependent services in the same region where possible.
Use CDN for static content when appropriate.
Consider private connectivity for hybrid patterns (VPN/ExpressRoute—separate service costs).

How to optimize cost (practical checklist)

Right-size VMs using metrics (CPU/memory/disk) and resize down when possible.
Use Reserved VM Instances or Savings Plan for Compute for steady-state workloads.
Use Spot VMs for interruptible workloads (batch/CI/dev/test).
Use auto-shutdown schedules for dev/test VMs (but confirm it meets your operational needs).
Optimize disks:
Use Standard SSD for dev/test where possible.
Avoid overprovisioned large premium disks.
Control logging:
Collect only needed logs.
Set retention policies deliberately.
Use tags and budgets to track owners and environments.

Example low-cost starter estimate (how to think about it)

A minimal learning VM typically includes: – 1 small general-purpose Linux VM (e.g., B-series where available) – 1 OS disk (Standard SSD) – 1 public IP (optional; prefer Bastion in production) – Minimal monitoring

Your actual monthly cost depends on: – Hours running (e.g., 24/7 vs. a few hours/day) – Region – Disk type and size – Any outbound traffic

Use the pricing calculator and input: – VM size (e.g., Standard_B1s), region, OS – Disk type/size – Bandwidth estimates (usually near zero for a tutorial)

Example production cost considerations

For production, model: – At least 2 VMs for HA (zones or availability set) – Load balancer/application gateway – Premium disks if required by IOPS/latency – Backup vault retention – Monitoring (Log Analytics ingestion) – Security services (Defender for Cloud) – Egress bandwidth

Then choose cost levers: – Savings plan/reservations – Right-sizing and autoscaling (VMSS) – Controlled egress through NAT/firewall (cost and security tradeoff)

10. Step-by-Step Hands-On Tutorial

This lab provisions a small Linux Virtual Machines instance running Nginx, exposes it on HTTP (port 80), and secures admin access using SSH keys. It is designed to be beginner-friendly and relatively low cost, but charges will still apply while resources exist.

Objective

Deploy one Ubuntu Linux Virtual Machines instance using Azure CLI, install Nginx, verify access via browser/curl, and then clean up resources.

Lab Overview

You will create: – Resource group – Virtual network + subnet – Network security group (allow SSH and HTTP) – Public IP – VM (Ubuntu) – Basic software install (Nginx)

You will validate: – VM provisioning state – SSH access – Nginx running and reachable on port 80

You will clean up: – Delete the resource group (removes all lab resources)

Step 1: Sign in and set subscription (Azure CLI)

1) Sign in:

az login

2) (Optional) Select the correct subscription if you have more than one:

az account list -o table
az account set --subscription "<YOUR_SUBSCRIPTION_ID_OR_NAME>"

Expected outcome: Azure CLI is authenticated and targeting the subscription you’ll use.

Verification:

az account show -o table

Step 2: Choose variables for a consistent deployment

Set variables for your lab. Pick a region close to you. Ensure the VM size is available in that region.

# Change these if needed
RG="rg-vm-lab-01"
LOCATION="eastus"            # pick your region
VNET="vnet-vm-lab-01"
SUBNET="subnet-web-01"
NSG="nsg-vm-lab-01"
PIP="pip-vm-lab-01"
VM="vm-lab-01"
ADMIN="azureuser"
VM_SIZE="Standard_B1s"       # small/low-cost where available; verify in your region
IMAGE="Ubuntu2204"           # Ubuntu 22.04 LTS image alias in Azure CLI

Expected outcome: You have a consistent naming pattern for all resources.

Step 3: Create a resource group

az group create \
  --name "$RG" \
  --location "$LOCATION" \
  --tags env=lab service="Virtual Machines" owner="$USER"

Expected outcome: Resource group created.

Verification:

az group show --name "$RG" -o table

Step 4: Create a VNet and subnet

az network vnet create \
  --resource-group "$RG" \
  --name "$VNET" \
  --address-prefixes 10.10.0.0/16 \
  --subnet-name "$SUBNET" \
  --subnet-prefixes 10.10.1.0/24

Expected outcome: A virtual network and subnet exist.

Verification:

az network vnet show -g "$RG" -n "$VNET" -o table
az network vnet subnet show -g "$RG" --vnet-name "$VNET" -n "$SUBNET" -o table

Step 5: Create a Network Security Group (NSG) and rules

Create the NSG:

az network nsg create \
  --resource-group "$RG" \
  --name "$NSG" \
  --location "$LOCATION"

Add an inbound rule for SSH (22). For learning, you can allow from your current public IP, but for simplicity this example uses *. For better security, restrict --source-address-prefixes to your IP/CIDR.

az network nsg rule create \
  --resource-group "$RG" \
  --nsg-name "$NSG" \
  --name Allow-SSH \
  --priority 1000 \
  --access Allow \
  --direction Inbound \
  --protocol Tcp \
  --source-address-prefixes "*" \
  --source-port-ranges "*" \
  --destination-address-prefixes "*" \
  --destination-port-ranges 22

Add inbound rule for HTTP (80):

az network nsg rule create \
  --resource-group "$RG" \
  --nsg-name "$NSG" \
  --name Allow-HTTP \
  --priority 1010 \
  --access Allow \
  --direction Inbound \
  --protocol Tcp \
  --source-address-prefixes "*" \
  --source-port-ranges "*" \
  --destination-address-prefixes "*" \
  --destination-port-ranges 80

Associate the NSG to the subnet:

az network vnet subnet update \
  --resource-group "$RG" \
  --vnet-name "$VNET" \
  --name "$SUBNET" \
  --network-security-group "$NSG"

Expected outcome: Subnet is protected by NSG with SSH and HTTP allowed.

Verification:

az network nsg rule list -g "$RG" --nsg-name "$NSG" -o table
az network vnet subnet show -g "$RG" --vnet-name "$VNET" -n "$SUBNET" --query "networkSecurityGroup.id" -o tsv

Step 6: Create a public IP

az network public-ip create \
  --resource-group "$RG" \
  --name "$PIP" \
  --location "$LOCATION" \
  --sku Standard \
  --allocation-method Static

Expected outcome: A static public IP address is allocated.

Verification:

az network public-ip show -g "$RG" -n "$PIP" --query "{ipAddress:ipAddress, sku:sku.name}" -o table

Step 7: Create the VM (Ubuntu) with SSH key authentication

This command will create: – NIC in your subnet – Attach the public IP – Create the VM and OS disk – Configure SSH access for your admin user

az vm create \
  --resource-group "$RG" \
  --name "$VM" \
  --location "$LOCATION" \
  --image "$IMAGE" \
  --size "$VM_SIZE" \
  --admin-username "$ADMIN" \
  --public-ip-address "$PIP" \
  --vnet-name "$VNET" \
  --subnet "$SUBNET" \
  --authentication-type ssh \
  --generate-ssh-keys \
  --tags env=lab service="Virtual Machines"

Expected outcome: VM is created and returns JSON output including the public IP.

Verification (provisioning state and power state):

az vm get-instance-view -g "$RG" -n "$VM" \
  --query "instanceView.statuses[].displayStatus" -o tsv

Get public IP:

VM_IP="$(az network public-ip show -g "$RG" -n "$PIP" --query ipAddress -o tsv)"
echo "$VM_IP"

Step 8: SSH into the VM

ssh "${ADMIN}@${VM_IP}"

Expected outcome: You get a shell prompt on the Ubuntu VM.

If asked to confirm the host key, type yes.

Step 9: Install Nginx and start the service

Inside the VM:

sudo apt-get update
sudo apt-get install -y nginx
sudo systemctl enable --now nginx
sudo systemctl status nginx --no-pager

Expected outcome: Nginx is installed and running.

Verification inside the VM:

curl -I http://localhost

You should see HTTP/1.1 200 OK (or similar).

Exit SSH:

exit

Step 10: Verify HTTP access from your machine

From your local machine:

curl -I "http://${VM_IP}"

Expected outcome: You should receive an HTTP response header from Nginx.

You can also open in a browser: – http://<VM_IP>

Validation

Use the following checks:

1) VM running:

az vm get-instance-view -g "$RG" -n "$VM" \
  --query "instanceView.statuses[?starts_with(code, 'PowerState/')].displayStatus" -o tsv

2) NSG rules exist:

az network nsg rule list -g "$RG" --nsg-name "$NSG" -o table

3) HTTP reachable:

curl -I "http://${VM_IP}"

Troubleshooting

Common issues and practical fixes:

1) SSH times out – Cause: NSG not associated correctly, rule missing, wrong IP, or VM not fully ready. – Fix: – Verify VM has a public IP and it matches VM_IP. – Check NSG association on subnet. – Confirm rule allows port 22. – Wait 1–2 minutes after provisioning.

2) Permission denied (publickey) – Cause: SSH key mismatch or wrong username. – Fix: – Confirm you used --generate-ssh-keys or specified the correct public key. – Use the correct username ($ADMIN). – If needed, reset SSH config using Azure VM access reset options (verify current Azure CLI/Portal workflow in official docs).

3) HTTP (port 80) not reachable – Cause: Nginx not running, NSG rule missing, or local firewall issues. – Fix: – SSH into the VM and run sudo systemctl status nginx. – Verify NSG rule for port 80. – Ensure you’re curling http:// (not https://).

4) Quota exceeded error during VM create – Cause: Not enough vCPU quota in the region for that VM family. – Fix: – Choose another size/family. – Request quota increase in Azure Portal.

5) VM size not available in region – Fix: – Change LOCATION or VM_SIZE. – List sizes: bash az vm list-sizes --location "$LOCATION" -o table

Cleanup

To avoid ongoing charges, delete the resource group (this removes the VM, disks, public IP, VNet, NSG—everything created in the lab):

az group delete --name "$RG" --yes --no-wait

Expected outcome: Deletion begins. It may take several minutes.

Verification:

az group exists --name "$RG"

It should eventually return false.

11. Best Practices

Architecture best practices

Design for failure: Use at least two instances and a load balancer for production services.
Prefer Availability Zones where supported for better resiliency against datacenter failures.
Use stateless app tiers when possible; store state in managed services (databases, queues) to reduce VM coupling.
Use separate subnets (web/app/data/mgmt) and control flow with NSGs and routing.
For scaling needs, consider Virtual Machine Scale Sets (related service) rather than scripting your own fleet management.

IAM/security best practices

Use Azure RBAC with least privilege:
Separate “VM Operator” duties from “Network Contributor” and “Security Admin” where possible.
Avoid long-lived credentials:
Prefer SSH keys over passwords for Linux.
Prefer managed identities for VM-to-Azure access.
Use Azure Policy to enforce:
Allowed VM SKUs/regions
Tagging
Disk encryption requirements (where applicable)
No public IP for admin-only VMs (policy strategy depends on org)

Cost best practices

Implement mandatory tags: env, owner, costCenter, service, dataClassification.
Use auto-shutdown for dev/test and stop unused VMs (note: stopped vs deallocated differ; ensure VMs are deallocated to stop compute charges).
Review and delete:
Orphaned disks
Old snapshots
Unused public IPs
Commit discounts for steady-state:
Reservations / Savings Plan (evaluate scope and flexibility carefully)

Performance best practices

Match disk type to I/O needs:
Use Premium tiers for latency-sensitive workloads.
Monitor disk queue depth and throughput; don’t assume CPU is the bottleneck.
Use Accelerated Networking when supported and needed (requires supported VM size and OS—verify).
Separate data/log/temp volumes for databases and high-I/O apps.

Reliability best practices

Use multiple instances across zones and health probes.
Automate configuration (image pipelines + IaC) so you can rebuild quickly.
Test backup restores and document RTO/RPO.
Plan patch windows and reboot coordination.

Operations best practices

Standardize provisioning using IaC (Bicep/Terraform) and CI/CD.
Centralize logs and metrics; define SLOs and alerts (CPU, memory via agent, disk, heartbeat).
Use rolling updates for fleets (VMSS or orchestration).
Document runbooks for common operations: resize, restore, rotate keys, failover.

Governance/tagging/naming best practices

Use a naming convention that encodes:
app/service, environment, region, instance number
Example: vm-web-prod-eus-01
Use resource locks cautiously (helpful for critical resources; can hinder automation if misused).
Use management groups and policies for organization-wide standards.

12. Security Considerations

Identity and access model

Control plane security (Azure RBAC):
Use built-in roles carefully (Contributor is broad).
Restrict who can create public IPs, open NSG rules, or run custom scripts.
Data plane security (guest OS):
Enforce SSH key auth (Linux) and disable password auth where appropriate.
Use centralized identity (e.g., domain join) only with a clear lifecycle and HA plan.

Encryption

At rest:
Azure managed disks support encryption at rest by default. Additional customer-managed key options exist (implementation depends on requirements—verify in official docs).
In transit:
Use TLS for application traffic.
Avoid plaintext protocols over public networks.

Disk encryption guidance (entry): https://learn.microsoft.com/azure/virtual-machines/disk-encryption-overview

Network exposure

Prefer no public IP for most VMs.
Use Azure Bastion for admin access or a controlled jump box pattern.
Enforce NSG rules:
Allow only required ports
Restrict sources (your corporate IP ranges, VPN ranges)
Consider centralized egress control (firewall/NAT gateway) for production.

Secrets handling

Do not store secrets in VM images, scripts, or repos.
Use Azure Key Vault and managed identity for retrieval. Key Vault docs: https://learn.microsoft.com/azure/key-vault/general/overview

Audit/logging

Use Azure Activity Log for management operations auditing.
Enable guest-level logs using Azure Monitor Agent + Log Analytics where appropriate.
Collect security events (Windows) or auth logs (Linux) based on threat model and compliance needs.

Compliance considerations

VM compliance is shared responsibility:
Azure provides platform compliance for underlying infrastructure.
You must manage OS hardening, patching, access, and application controls.
If you need specific compliance attestations, validate Azure region/service compliance in official documentation:
Azure compliance offerings: https://learn.microsoft.com/azure/compliance/

Common security mistakes

Leaving SSH/RDP open to 0.0.0.0/0 in production
Using passwords instead of keys for Linux SSH
Not patching OS or not having vulnerability management
Over-permissive Azure RBAC assignments
Embedding secrets in VM extensions or custom scripts
Running critical workloads on single VMs without HA

Secure deployment recommendations

Use private subnets + Bastion for admin access.
Use NSGs with restricted sources.
Implement image hardening and CIS-aligned baselines where applicable.
Enable Defender for Cloud recommendations and remediate findings (licensing/coverage varies—verify).
Implement backup and periodic restore tests.

13. Limitations and Gotchas

Known limitations (conceptual)

A single VM is not inherently highly available; you must architect for HA.
VM management is operationally heavier than PaaS (patching, agents, OS hardening).

Quotas

Regional vCPU quotas can block deployments.
Quotas differ by VM family and region.

Regional constraints

Not all VM sizes or disk types are available in every region.
Availability Zones are region-dependent.

Pricing surprises

Leaving VMs running 24/7 in dev/test.
Overprovisioning premium disks.
High log ingestion/retention in Log Analytics.
Egress bandwidth for internet-facing workloads.
Backup retention growth (especially for large disks).

Compatibility issues

Accelerated Networking, ephemeral OS disks, ultra disks, and certain security features depend on SKU/OS support.
Marketplace images may have vendor-specific billing and terms.

Operational gotchas

“Stopped” vs “deallocated” affects compute billing (verify current billing behavior in official docs).
Resizing may require a reboot; some changes require deallocation.
VM extensions can fail due to DNS, outbound rules, proxy settings, or permissions.
Golden image drift: if you don’t version and update images, patch gaps accumulate.

Migration challenges

IP address changes during migration can break hardcoded configs.
Latency to on-prem dependencies can impact performance.
Licensing constraints for Windows/SQL Server and third-party vendors require careful planning.

Vendor-specific nuances

Azure’s VM model integrates strongly with Azure networking and identity patterns; copying patterns from other clouds without adaptation can cause design issues (e.g., assuming identical security group behavior or metadata services).

14. Comparison with Alternatives

Virtual Machines is not always the best compute option. Below is a practical comparison.

Option	Best For	Strengths	Weaknesses	When to Choose
Virtual Machines (Azure)	Full OS control, lift-and-shift, custom software	Flexibility, broad OS support, deep network control	Higher ops burden (patching, security, HA)	You need IaaS control or legacy compatibility
Virtual Machine Scale Sets (Azure)	Large fleets of similar VMs, autoscaling	Autoscaling, rolling upgrades, consistent instances	More complex than single VMs	Web/app tiers needing scale-out
Azure App Service	Web apps/APIs with managed runtime	Low ops, built-in scaling features	Less OS control, runtime constraints	Standard web apps and APIs
Azure Functions	Event-driven serverless	Scale-to-zero patterns, minimal ops	Not for long-running/stateful processes	Event handling, automation, lightweight APIs
Azure Kubernetes Service (AKS)	Container orchestration at scale	Powerful scheduling, ecosystem	Operational complexity; cluster management	Container-first microservices at scale
Azure Container Apps	Serverless containers	Less ops than AKS	Some platform constraints	Containerized workloads without full Kubernetes overhead
AWS EC2	IaaS VMs on AWS	Broad ecosystem, similar IaaS model	Different networking/identity model	Multi-cloud strategy or AWS-first orgs
Google Compute Engine	IaaS VMs on GCP	Strong networking and performance options	Different operational model	GCP-first workloads
On-prem VMware/Hyper-V	Local control, specific compliance	Full local control	CapEx, scaling limits, hardware lifecycle	Strict data locality or legacy constraints
OpenStack (self-managed)	Private cloud IaaS	Customizable	High ops complexity	Organizations needing private IaaS control

15. Real-World Example

Enterprise example: regulated 3-tier application modernization path

Problem: A financial services company runs a legacy 3-tier application (web/app/database) on VMware. Regulatory requirements demand tight network segmentation, auditing, and controlled admin access. Refactoring to PaaS will take 12–18 months.
Proposed architecture:
Web tier: 2+ Virtual Machines across Availability Zones behind Application Gateway (WAF enabled if required).
App tier: 2+ Virtual Machines in a private subnet behind internal load balancing.
Data tier: Database on Virtual Machines only if managed DB can’t meet requirements; otherwise migrate to managed DB later.
Admin access: Azure Bastion and privileged access workflows.
Monitoring: Azure Monitor + Log Analytics; alerts integrated with ITSM.
Backup: Azure Backup with tested restore runbooks.
Governance: Azure Policy enforcing tags, approved SKUs, and no public IPs in private subnets.
Why Virtual Machines was chosen:
OS-level compatibility with the existing stack
Controlled network segmentation
A staged modernization approach without blocking migration timelines
Expected outcomes:
Reduced datacenter dependency and faster provisioning
Improved resiliency via zones and load balancing
A clear path to later refactor pieces to PaaS services

Startup/small-team example: cost-aware single-service deployment with a growth path

Problem: A startup needs to launch an MVP with a single backend service and a small database. The team is small and wants speed, but they need full control over a specific library and system package.
Proposed architecture:
One Virtual Machines instance initially (dev/prod separated), protected by NSG and SSH keys.
Backups enabled early; logs centralized with lightweight retention.
Growth plan: move to two VMs behind a load balancer and/or adopt Virtual Machine Scale Sets for the stateless API tier.
Why Virtual Machines was chosen:
Simple mental model, quick setup, full OS control
Ability to evolve architecture gradually without replatforming immediately
Expected outcomes:
Fast launch with manageable complexity
Clear upgrade path to HA and scaling when usage grows

16. FAQ

1) What is the difference between Azure Virtual Machines and Virtual Machine Scale Sets?
Virtual Machines is typically used for individual VM instances. Virtual Machine Scale Sets is designed to manage a group of identical VMs with autoscaling, health-based instance management, and rolling upgrades.

2) Do I need a VNet to run Virtual Machines?
In practice, yes. VMs are deployed into a Virtual Network (even if created “quickly” through the portal, a VNet/subnet is created/used).

3) Is Virtual Machines IaaS or PaaS?
Virtual Machines is IaaS. You manage the guest OS, patching strategy, and installed software.

4) How do I make a VM highly available?
Use multiple VMs across Availability Zones (preferred where supported) or an Availability Set, and put them behind a load balancer/application gateway with health probes.

5) Should I assign a public IP to my VM?
For most production workloads, avoid public IPs for admin access. Prefer Azure Bastion or private access via VPN/ExpressRoute. Public IPs may be appropriate for internet-facing app front ends with proper protections.

6) How do I access a Linux VM securely?
Use SSH keys, restrict NSG inbound rules to trusted IP ranges, and consider Azure Bastion.

7) How do I patch VMs in Azure?
You patch the guest OS using your chosen approach (OS native tools, automation, or Azure services). Verify the current recommended Azure update management tooling in official docs, as capabilities evolve.

8) Can I resize a VM after creation?
Yes, you can change the VM size, but it may require a restart or deallocation. Availability of target sizes depends on region and quota.

9) What disks should I choose?
Choose based on performance and cost. Standard SSD is often fine for dev/test. Premium SSD is common for production. Premium SSD v2 and Ultra Disk serve specific high-performance needs (availability varies—verify).

10) What is “deallocate” and why does it matter?
Deallocating stops the VM and releases compute resources. Billing behavior depends on state; generally, running compute charges stop when deallocated. Verify the current billing rules in official docs.

11) How do I reduce VM costs?
Right-size, schedule shutdown for non-prod, use Spot for interruptible workloads, and evaluate reservations/savings plans for steady-state workloads.

12) How do I capture an image of a configured VM?
Use managed images or Azure Compute Gallery to create versioned images and replicate them where needed.

13) How do I store secrets for apps running on a VM?
Use Azure Key Vault and access it with the VM’s managed identity. Avoid embedding secrets in scripts or images.

14) How do I monitor CPU and disk usage?
Use Azure Monitor metrics for platform-level signals and an agent (Azure Monitor Agent) plus Log Analytics for guest-level logs and deeper insights.

15) Are Virtual Machines suitable for containers?
Yes—many organizations run containers on VMs, but if you want managed orchestration, consider AKS or Container Apps.

16) Can I run Windows and Linux on Virtual Machines?
Yes. Azure supports both, with licensing and pricing differences depending on the image and your licensing benefits.

17) What is the best way to do disaster recovery for VMs?
Common patterns include Azure Backup for restores and Azure Site Recovery for replication/failover. Choose based on RTO/RPO requirements and test regularly.

17. Top Online Resources to Learn Virtual Machines

Resource Type	Name	Why It Is Useful
Official documentation	Azure Virtual Machines documentation: https://learn.microsoft.com/azure/virtual-machines/	Primary reference for VM concepts, deployment, operations
Official quickstarts	Virtual Machines quickstarts (entry): https://learn.microsoft.com/azure/virtual-machines/linux/quick-create-cli	Step-by-step CLI workflows (Linux)
Official quickstarts	Windows VM quickstart (entry): https://learn.microsoft.com/azure/virtual-machines/windows/quick-create-cli	Step-by-step CLI workflows (Windows)
Official pricing	Virtual Machines pricing: https://azure.microsoft.com/pricing/details/virtual-machines/	Current pricing dimensions and discount options
Official calculator	Azure Pricing Calculator: https://azure.microsoft.com/pricing/calculator/	Estimate costs by region/SKU/disk/network
Official architecture	Azure Architecture Center: https://learn.microsoft.com/azure/architecture/	Reference architectures and best practices
Official docs	Managed disks overview: https://learn.microsoft.com/azure/virtual-machines/managed-disks-overview	Disk types, performance, and design guidance
Official docs	Availability options: https://learn.microsoft.com/azure/virtual-machines/availability	Zones/sets and resiliency design
Official docs	VM extensions overview: https://learn.microsoft.com/azure/virtual-machines/extensions/overview	Automation and post-deploy configuration
Official docs	Azure Bastion: https://learn.microsoft.com/azure/bastion/	Secure admin access patterns
Official docs	Azure Monitor: https://learn.microsoft.com/azure/azure-monitor/	Monitoring, logs, alerts
Official docs	Azure Compute Gallery: https://learn.microsoft.com/azure/virtual-machines/azure-compute-gallery/	Golden image lifecycle at scale
Official videos	Microsoft Azure YouTube channel: https://www.youtube.com/@MicrosoftAzure	Product walkthroughs and architecture guidance (verify specific VM playlists)
Samples	Azure Quickstart Templates (ARM): https://github.com/Azure/azure-quickstart-templates	Many VM deployment templates and patterns

18. Training and Certification Providers

Institute	Suitable Audience	Likely Learning Focus	Mode	Website URL
DevOpsSchool.com	Beginners to advanced DevOps/Cloud engineers	DevOps practices, CI/CD, cloud fundamentals, operations	Check website	https://www.devopsschool.com/
ScmGalaxy.com	Students and working professionals	SCM/DevOps tooling, process and implementation	Check website	https://www.scmgalaxy.com/
CLoudOpsNow.in	Cloud/ops practitioners	Cloud operations, monitoring, reliability practices	Check website	https://www.cloudopsnow.in/
SreSchool.com	SREs, platform and operations teams	SRE principles, incident response, SLOs, reliability engineering	Check website	https://www.sreschool.com/
AiOpsSchool.com	Ops teams exploring AIOps	AIOps concepts, automation, monitoring analytics	Check website	https://www.aiopsschool.com/

19. Top Trainers

Platform/Site	Likely Specialization	Suitable Audience	Website URL
RajeshKumar.xyz	DevOps and cloud training resources (verify offerings)	Learners seeking practical DevOps/cloud guidance	https://rajeshkumar.xyz/
devopstrainer.in	DevOps training (verify specific course catalog)	Beginners to intermediate DevOps practitioners	https://www.devopstrainer.in/
devopsfreelancer.com	Freelance DevOps services/training platform (verify offerings)	Teams/individuals needing hands-on DevOps help	https://www.devopsfreelancer.com/
devopssupport.in	DevOps support and training resources (verify offerings)	Engineers seeking operational support or learning	https://www.devopssupport.in/

20. Top Consulting Companies

Company Name	Likely Service Area	Where They May Help	Consulting Use Case Examples	Website URL
cotocus.com	Cloud/DevOps consulting (verify exact scope)	Architecture, migrations, CI/CD, platform operations	VM migration planning; landing zone + VNet design; baseline monitoring setup	https://cotocus.com/
DevOpsSchool.com	DevOps and cloud consulting/training (verify exact scope)	DevOps transformation, automation, tooling enablement	Infrastructure as Code for Virtual Machines; pipeline automation; ops runbooks	https://www.devopsschool.com/
DEVOPSCONSULTING.IN	DevOps consulting (verify exact scope)	DevOps implementation and operational practices	VM fleet management patterns; CI/CD integration; monitoring and alerting strategy	https://www.devopsconsulting.in/

21. Career and Learning Roadmap

What to learn before Virtual Machines

Azure fundamentals:
Subscriptions, resource groups, regions
Azure RBAC basics
Networking basics:
IP addressing, subnets, routing
Firewalls/NSGs, inbound/outbound rules
Linux/Windows administration fundamentals:
SSH/RDP, users, services, package management
Basic security:
Key-based auth, patching, least privilege, segmentation

What to learn after Virtual Machines

High availability and scaling:
Availability Zones, load balancing, VMSS
Infrastructure as Code:
Bicep/ARM, Terraform, policy-as-code
Monitoring/observability:
Azure Monitor, Log Analytics, alert design
Security:
Defender for Cloud recommendations
Key Vault + managed identities
Migration and DR:
Azure Migrate, Azure Backup, Azure Site Recovery (as needed)
Platform engineering:
Golden image pipelines with Azure Compute Gallery
Standardized landing zones and governance

Job roles that use Virtual Machines

Cloud engineer / cloud administrator
DevOps engineer
Site reliability engineer (SRE)
Platform engineer
Security engineer (infrastructure security)
Solutions architect
Systems administrator transitioning to cloud

Certification path (Azure)

Certifications change over time—verify current requirements on Microsoft Learn. Typical relevant certifications include: – AZ-900 (Azure Fundamentals) – AZ-104 (Azure Administrator Associate) – AZ-305 (Azure Solutions Architect Expert)

Certification index: https://learn.microsoft.com/credentials/

Project ideas for practice

Build a 2-VM HA web tier across Availability Zones behind a load balancer.
Create a golden image with hardening + monitoring agents using Azure Compute Gallery.
Implement a “no public IP” policy and access VMs only through Bastion.
Cost optimization exercise: right-size a VM using metrics; evaluate savings plan vs reservation (model in pricing calculator).
Implement backup, run a restore drill, and document RTO/RPO.

22. Glossary

Azure RBAC: Role-Based Access Control for Azure management operations.
Availability Zone: Physically separate datacenter zone within a region to improve resiliency.
Availability Set: Logical grouping that spreads VMs across fault and update domains (non-zonal HA pattern).
Managed Disk: Azure-managed block storage for VM OS/data disks.
NIC (Network Interface): VM network interface that connects to a subnet and gets IP configurations.
NSG (Network Security Group): Stateful firewall rules controlling inbound/outbound traffic to subnets/NICs.
VNet (Virtual Network): Private network in Azure containing subnets, routing, and connectivity.
Public IP: Internet-routable IP address assigned to a VM or load balancer.
Azure Bastion: Managed service enabling secure RDP/SSH without exposing public IP on VMs.
VM Extension: Plug-in mechanism to run scripts/install agents and configure VMs post-deployment.
Azure Monitor: Azure’s monitoring platform for metrics, logs, alerts, and dashboards.
Log Analytics Workspace: Central store for logs queried using KQL (used by Azure Monitor Logs).
Managed Identity: Entra ID identity assigned to an Azure resource for accessing other Azure services without stored secrets.
Spot VM: VM using spare capacity at a lower price with eviction risk.
Reservation / Savings Plan: Discount models for committed usage/spend for compute.
ARM (Azure Resource Manager): Deployment and management control plane for Azure resources.

23. Summary

Virtual Machines in Azure is the core Compute service for running full Windows and Linux servers with OS-level control. It matters because it supports real-world requirements that PaaS and containers cannot always meet—legacy compatibility, specialized software, custom networking, and lift-and-shift migrations.

Architecturally, Virtual Machines fits as a flexible building block in VNets with managed disks, NSGs, and availability designs (zones/sets). Cost is driven mainly by VM size/runtime, disk choices, egress traffic, monitoring logs, and backup retention. Security requires deliberate controls: least-privilege RBAC, SSH keys, restricted NSG rules, private access patterns (Bastion), and disciplined patching and monitoring.

Use Virtual Machines when you need IaaS flexibility and OS control; avoid it when a managed platform can deliver the same outcome with less operational overhead. Next, deepen your skills by learning Availability Zones + load balancing patterns, building golden images with Azure Compute Gallery, and adopting Infrastructure as Code for repeatable, governed deployments.

rajeshkumar

Category

1. Introduction

2. What is Virtual Machines?

Official purpose

Core capabilities

Major components

Service type

Scope: regional / zonal

How it fits into the Azure ecosystem

3. Why use Virtual Machines?

Business reasons

Technical reasons

Operational reasons

Security/compliance reasons

Scalability/performance reasons

When teams should choose Virtual Machines

When teams should not choose Virtual Machines

4. Where is Virtual Machines used?

Industries

Team types

Workloads

Architectures

Production vs dev/test usage

5. Top Use Cases and Scenarios

1) Lift-and-shift migration of on-prem servers

2) Running legacy software requiring OS-level access

3) Highly customized Nginx reverse proxy / ingress

4) Network virtual appliances (firewall, router, proxy)

5) Self-managed database when managed DB is not possible

6) CI/CD runners and ephemeral build agents

7) GPU workloads (rendering, ML inference, VDI graphics)

8) High-performance computing (HPC) batch workloads

9) Jump host / bastion-like admin box (controlled)

10) Domain services or legacy identity dependencies

11) Software licensing that requires dedicated compute controls

12) Stateful services that need local disk performance patterns

6. Core Features

1) VM sizes and families (SKU selection)

2) Linux and Windows marketplace images

3) Custom images and Azure Compute Gallery (formerly Shared Image Gallery)

4) Managed disks (OS and data disks)

5) Availability options (Availability Zones and Availability Sets)

6) VM networking: VNets, NICs, NSGs, and load balancing

7) Azure Bastion integration (recommended for admin access)

8) VM extensions

9) Managed identities for Azure resources

10) Security features: Trusted Launch, secure boot, vTPM (where supported)

11) Azure Spot Virtual Machines

12) Reserved VM Instances / Savings Plan for Compute (cost commitments)

13) Monitoring integration (Azure Monitor)

14) Backup and disaster recovery integrations

7. Architecture and How It Works

High-level service architecture

Request/data/control flow (typical)

Integrations with related services

Dependency services

Security/authentication model

Networking model

Monitoring/logging/governance considerations

Simple architecture diagram (Mermaid)

Production-style architecture diagram (Mermaid)

8. Prerequisites

Account/subscription/tenant requirements

Permissions / IAM roles

Billing requirements

CLI/SDK/tools needed

Region availability

Quotas/limits

Prerequisite services (for typical deployments)

9. Pricing / Cost

Pricing dimensions (what you pay for)

Free tier

Major cost drivers

Hidden or indirect costs to plan for

Network/data transfer implications

How to optimize cost (practical checklist)

Example low-cost starter estimate (how to think about it)

Example production cost considerations

10. Step-by-Step Hands-On Tutorial

Objective