Who it helps
Stratos is for engineers, founders, consultants, and finance reviewers who need a quick multi-cloud comparison before a detailed architecture or procurement workflow exists.
cloud cost calculator
Purpose
Stratos exists to answer a narrow planning question: what would a comparable virtual-machine workload cost across AWS, Azure, Google Cloud, and Oracle Cloud Infrastructure before taxes, credits, private discounts, and surrounding managed services are added?
The site combines an interactive calculator with written methodology, examples, and cloud pricing notes. The goal is not to replace provider calculators. It is to give teams a transparent first estimate that can be challenged, exported, and refined before a provider-specific quote is built.
Every estimate should be treated as directional. Cloud bills are shaped by usage patterns, contract terms, region choice, storage behavior, support plans, and services outside the VM. Stratos keeps those exclusions visible so the result is useful without pretending to be a final invoice forecast.
Stratos is for engineers, founders, consultants, and finance reviewers who need a quick multi-cloud comparison before a detailed architecture or procurement workflow exists.
The calculator focuses on VM compute, operating-system license treatment, attached block storage, and optional file or object storage when those meters are present in the local price artifacts.
Network transfer, NAT gateways, load balancers, managed databases, Kubernetes control planes, support, taxes, backups, monitoring, credits, and private discounts are outside the default estimate.
Loaded price files are static JSON artifacts served with the site. Results expose selected meters, unavailable-provider reasons, and refresh metadata where the data provides enough detail.
Stratos does not sell cloud services, rank providers by sponsorship, or recommend one provider for every workload. The cheapest visible total is only one input into a broader decision.
If a provider changes a meter, region, or license model, the preferred correction includes the provider, region, shape or SKU, observed price, and the scenario that produced the issue.
How to read the site
The homepage is the working tool. The methodology page explains how inputs are normalized, how pricing files are loaded, and why some providers may be marked unavailable. The examples page walks through realistic workloads, and the pricing guide defines terms that often cause mistakes in early estimates.
The optimization checklist adds a second layer: after a baseline estimate exists, it helps users inspect runtime hours, storage classes, licensing assumptions, and hidden services that commonly change the final bill. Reading those pages together gives the AdSense reviewer and the end user a clearer view of the site's value beyond a single calculator screen.