I Built a Tool That Benchmarks Cloud Provisioning Speed Across AWS, Azure, and GCP

The Problem Nobody Talks About

Everyone compares cloud pricing and compute performance. Nobody benchmarks how fast a cloud actually provisions infrastructure — or how often it fails. That gap directly affects your CI/CD pipelines, auto-scaling, and disaster recovery. So I built ProvisioningIQ to measure it.

What is ProvisioningIQ?

ProvisioningIQ runs automated synthetic provisioning tests across AWS, Azure, and GCP — 24/7, across multiple regions. Every test is a real API call. We measure VM provisioning, container deployments, public IP allocation, and virtual network creation.

Early Findings (7,642 real runs, Jan–Apr 2026)

Overall Reliability & Speed

The Interesting Split: Containers vs VMs

What stands out:

• GCP wins containers by a huge margin — Cloud Run provisions in ~11 seconds on average, nearly 7x faster than Azure ACI
• AWS wins VMs — EC2 is fastest and most reliable at 99.8% success rate
• Azure is the most consistent — lowest p99 variance for VMs, predictable if not the fastest
• GCP's p99 is brutal — 235 seconds worst-case means outlier provisioning events are extreme
• All three clouds show elevated failure rates during certain time windows — never documented publicly by any provider

Here's a live look at the Pro Dashboard:

![ProvisioningIQ Pro Dashboard showing VM latency trends across AWS, Azure and GCP]

Pro and Enterprise members get access to p50/p99 latency breakdowns, regional comparisons, and 7-day historical trends across all clouds and scenarios.

Try It / Follow Along

• 🌐 Live dashboard: provisioningiq.appswireless.com
• 📊 Daily benchmark results posted here automatically every morning
• 💬 Questions about methodology? Drop them below

Which cloud are you betting on for your next deployment? 👇