Azure Compute Availability

Azure Compute Availability ensures that your virtual machines (VMs) and other compute resources are highly available and resilient to failures. It provides various features and services to help you achieve high availability and reliability for your applications.

Overview

Azure Compute Availability ensures that your virtual machines (VMs) and other compute resources are highly available and resilient to failures. It provides various features and services to help you achieve high availability and reliability for your applications.

Core Functionality

  • Availability Sets: Group VMs into availability sets to ensure that at least one VM remains available during maintenance events or hardware failures.
  • Availability Zones: Deploy VMs across multiple availability zones within a region to protect against data center failures.
  • Scale Sets: Use virtual machine scale sets to automatically scale the number of VMs based on demand, ensuring high availability and performance.
  • Load Balancing: Distribute traffic across multiple VMs using Azure Load Balancer to improve application availability and performance.
  • Fault Domains: Ensure that VMs are distributed across multiple fault domains to minimize the impact of hardware failures.

Well-Architected Framework

Operational Excellence

  • Automation: Use Azure Automation to manage and monitor your compute resources, ensuring efficient resource utilization and automatic scaling.
  • Monitoring: Implement Azure Monitor to track the performance and availability of your VMs, setting up alerts for any issues.

Security

  • Network Security: Apply Network Security Groups (NSGs) to control inbound and outbound traffic to your VMs.
  • Identity Management: Use Azure Active Directory (AAD) for secure access and identity management.
  • Compliance: Ensure compliance with organizational policies by regularly reviewing and adjusting security settings.

Reliability

  • Redundancy: Design your architecture to handle potential failures by using redundant instances and fallback strategies.
  • Data Persistence: Ensure data is stored in persistent storage solutions like Azure Blob Storage to prevent data loss.

Performance Efficiency

  • Scaling: Use virtual machine scale sets to efficiently manage resources based on demand.
  • Optimization: Continuously monitor and optimize the performance of your VMs to ensure they meet workload requirements.

Cost Optimization

  • Budgeting: Set and manage budgets for your compute resources to control costs and avoid unexpected expenses.
  • Utilization: Regularly review and adjust resource allocation to maximize cost savings and resource utilization.

Sustainability

  • Resource Efficiency: Use Azure Compute Availability features to ensure efficient use of resources, reducing overall environmental impact.
  • Energy Consumption: Monitor and optimize the energy consumption of your VMs running on Azure.

Mind Map

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References


Last modified February 19, 2025: Update azure-point-to-site-vpn.md (a9c807a)