GCP Compute Engine SLA: Google Cloud's VM Uptime Guarantee

Understand Google Cloud Platform's Compute Engine SLA. Learn about multi-zone guarantees, live migration, service credits, and how GCP's approach differs from AWS and Azure.

Cloud Provider SLAs

Detailed Explanation

GCP Compute Engine SLA Overview

Google Cloud Platform's Compute Engine offers availability guarantees that reward multi-zone deployments, with a unique advantage: live migration for most maintenance events.

GCP Compute Engine SLA Tiers

Deployment Type SLA Monthly Downtime Allowed
Multi-zone (across zones) 99.99% ~4.4 minutes
Single Instance 99.5% ~3.6 hours

GCP's Live Migration Advantage

One of GCP's most distinctive features is live migration. During routine maintenance, GCP moves running VMs to other physical hosts without rebooting them. This means:

  • Most maintenance events cause zero perceived downtime
  • Your application processes continue running during migration
  • Network connections are preserved (brief packet loss possible)
  • Only certain maintenance events (security patches requiring reboot) cause actual downtime

What Counts as Downtime?

GCP measures instance-level availability. An instance is considered unavailable when it cannot be reached via its network interfaces. Scheduled maintenance events handled by live migration do not count as downtime.

Service Credits

Monthly Uptime % Service Credit
99.0% - 99.99% 10% credit
95.0% - 99.0% 25% credit
< 95.0% 50% credit

Multi-Zone Architecture on GCP

For the 99.99% SLA, you need instances across multiple zones within a region:

Region: us-central1
├── Zone: us-central1-a  →  Instance Group A
├── Zone: us-central1-b  →  Instance Group B
└── Zone: us-central1-c  →  Instance Group C
    └── Cloud Load Balancer distributes traffic

GCP vs AWS vs Azure Comparison

Feature GCP AWS Azure
Multi-zone SLA 99.99% 99.99% 99.99%
Single instance SLA 99.5% 99.5% 99.9% (Premium SSD)
Live migration Yes Limited Limited
Max service credit 50% 100% 100%

Use Case

Reference the GCP Compute Engine SLA when designing on Google Cloud, evaluating multi-cloud vendor selection, or comparing GCP's live migration advantage against AWS and Azure maintenance approaches.

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