home / skills / partme-ai / full-stack-skills / cloud-azure-vm

cloud-azure-vm skill

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This skill helps users manage Azure Virtual Machines by guiding creation, configuration, networking, and ongoing administration.

npx playbooks add skill partme-ai/full-stack-skills --skill cloud-azure-vm

Review the files below or copy the command above to add this skill to your agents.

Files (2)

SKILL.md

676 B

---
name: cloud-azure-vm
description: Provides comprehensive guidance for Azure Virtual Machines including VM creation, configuration, networking, and Azure VM management. Use when the user asks about Azure VMs, needs to create Azure VMs, configure Azure compute, or manage Azure virtual machines.
license: Complete terms in LICENSE.txt
---

## When to use this skill

Use this skill whenever the user wants to:
- [待完善：根据具体工具添加使用场景]

## How to use this skill

[待完善：根据具体工具添加使用指南]

## Best Practices

[待完善：根据具体工具添加最佳实践]

## Keywords

[待完善：根据具体工具添加关键词]

Overview

This skill provides practical, end-to-end guidance for Azure Virtual Machines, covering VM creation, sizing, storage, networking, security, and lifecycle management. It helps both beginners and experienced engineers choose the right VM type, automate provisioning, and maintain healthy, cost-effective VM fleets. The content emphasizes actionable steps, common pitfalls, and recommended Azure tooling.

How this skill works

The skill inspects your goals—development, production workload, or testing—and recommends VM configurations, OS images, disk types, and networking patterns. It explains commands and templates for Azure CLI, PowerShell, ARM/Bicep, and Terraform to provision and manage VMs. It also covers post-deployment tasks: extensions, backups, monitoring, scaling, and patching strategies.

When to use it

You need to create Azure Virtual Machines for dev, staging, or production environments.
You want to design VM networking, NSGs, load balancers, or private connectivity.
You need guidance on VM sizing, storage choices (managed disks, ultra disks), or pricing.
You are automating VM deployment with CLI, ARM/Bicep, or Terraform.
You must configure monitoring, backups, updates, or VM scale sets for reliability.

Best practices

Choose the smallest VM size that meets CPU/RAM and I/O requirements, then scale as needed to control costs.
Use managed disks and separate OS and data disks; prefer premium SSDs for production I/O-sensitive workloads.
Put VMs in a subnet with Network Security Groups and use Azure Firewall or NSGs for layered network controls.
Automate provisioning with ARM/Bicep or Terraform and keep infrastructure as code in source control.
Enable Azure Monitor and Log Analytics for metrics and logs; configure alerts for CPU, disk, and network anomalies.

Example use cases

Provision a Linux web server cluster with load balancing and autoscale using VM Scale Sets and a managed image.
Create a Windows Server VM, join it to Azure AD or Active Directory, and enable backup and patching policies.
Migrate on-prem VMs to Azure by choosing appropriate VM series, disk types, and networking topology.
Automate nightly snapshot backups and retention using managed snapshots and Recovery Services Vault.
Harden a VM by applying disk encryption, disk-level access controls, and NSG rules for least privilege.

FAQ

Which VM series should I pick for general-purpose workloads?

Use the D-series for balanced CPU and memory; choose E-series for memory-optimized or F-series for compute-optimized cases.

How do I minimize VM costs?

Rightsize instances, use reserved instances or savings plans for stable workloads, leverage spot VMs for interruptible tasks, and shut down dev VMs when idle.