Following up on the September thread: when we tripled traffic on that small stack (load balancer, two app servers, MySQL), modeled cost went up about 48% on AWS, 54% on GCP and 12% on DigitalOcean. All of the increase came from egress, meaning data leaving the provider's network.
So we wrote up how each provider bills it, with list prices retrieved Nov 3 4, 2026:
AWS charges $0.09/GB after 100 GB a month.
GCP Premium Tier charges $0.12/GiB after the first 1 GiB.
DigitalOcean pools a transfer allowance across your Droplets, then charges $0.01/GiB.
The post also covers five ways to cut egress: cross-zone traffic, CDN and caching, smaller responses, NAT gateway charges, and plan allowances.
www.cloudworldmodel.ai/blog/clou...
What's actually moved your egress bill: a CDN, compression, re-architecting cross-zone traffic, or something else?
We just published our September cloud pricing update, with a simulation to put the numbers in context.
The 33 list prices we track across AWS, GCP, Azure, OCI and DigitalOcean didn t change. We made two small corrections to our records, but found no provider price changes.
Then we modeled a load balancer, two app servers and a MySQL database in Cloud World Model, increasing traffic from 100 to 300 requests per second.
We finished #5 Product of the Day. Here's what three days of 60+ comments actually taught us.
We launched Cloud World Model on Product Hunt last week. The pitch: simulate AWS, GCP, Azure, OCI, and DigitalOcean infrastructure without provisioning real resources. You describe an architecture compute, databases, load balancers, serverless functions and the simulator models latency curves, CPU saturation, autoscaling behavior, failure propagation, and cost. No cloud bill.
We expected interest from learners. The comments told a different story.
A couple of recent conversations have shaped what we re building in Cloud World Model. One led us to model how provider API limits affect bulk updates. Another focused on whether workloads could recover within an EKS Spot interruption window.
Both came down to the same question: What happens if we make this change?
Simulate AWS, GCP, Azure, OCI & DigitalOcean architectures to predict cost, performance, and resilience without provisioning real resources or paying a cloud bill. Built for learners practicing cloud skills and AI agents training on cloud optimization.
If companies are going to use Cloud World Model to test infrastructure decisions before spending real money, they should know how closely its simulations match the real cloud.
Documentation from cloud providers is useful, but it cannot replace testing that we run, measure, and publish ourselves.
Cloud World Model now has a streaming MCP server. Paste the URL into Cursor, Windsurf, or Claude Desktop and simulate AWS/GCP/Azure/OCI/DigitalOcean architectures, inject chaos, run RL training - no install, no API key required to start.
We ve been building a cloud pricing history feature for Cloud World Model, and we just published our latest snapshot covering November 2025 through August 2026.
