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Cloud Compute

A curated collection of the best cloud compute platforms and serverless runtimes for running scrapers and data pipelines at scale.

Quick answer

Cloud compute picks depend on job shape. Modal fits serverless Python jobs and GPU-capable tasks, Fly.io fits long-lived workers or small VMs close to users, and AWS Lambda fits short event-driven tasks that stay within Lambda's documented 15-minute execution limit.

Top picks in Cloud Compute

  1. Modal

    Serverless Python
    Fits Python teams running scheduled jobs, batch tasks, containers, or GPU-backed workloads without managing hosts directly.
  2. Fly.io

    Workers/VMs
    Fits scrapers, APIs, and workers that need long-running processes, regional placement, and VM-like deployment control.
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Frequently asked questions

What is meant by compute in cloud?

Cloud compute is the capacity used to run application code. Providers offer models such as virtual machines, containers and serverless functions. AWS examples include EC2 instances and Lambda functions. Choose a model according to execution duration, resource needs and operational responsibilities.

Sources (checked ): AWS compute services

How much does cloud computing cost?

Costs depend on the services, resources and usage you choose. Check compute time, storage, data transfer and the applicable pricing model. AWS offers pay-as-you-go services, commitment discounts and some flat-rate plans. Estimate your own workload using current provider pricing; there is no single cloud computing price.

Sources (checked ): AWS pricing models