Skip to content

Compute migration guides

Migration · Updated Jun 2026

Coming from another cloud?

▸AWS·EC2 Instances

EC2 Instanceshigh

  • Uses EC2 RunInstances API instead of Nova servers.create.
  • Requires predefined instance type selection.
  • Supports per-second On-Demand billing and Spot/Reserved options.
  • Includes hibernation state not standard in OpenStack.
AWS docs ↗
▸Azure·Virtual Machines

Virtual Machineshigh

  • Uses Azure Resource Manager (ARM) REST API at /providers/Microsoft.Compute/virtualMachines instead of OpenStack Nova API at /v2.1/servers.
  • Tightly integrated with Azure services like Azure Active Directory for authentication, unlike OpenStack's Keystone.
  • VM creation requires specifying size from predefined series with hardware-specific features (e.g., AMD/Intel/ARM), not custom flavor configs.
  • Billed per second with complex pricing tiers based on series/reservation options, vs OpenStack's typically hourly or usage-based.
Azure docs ↗
▸DigitalOcean·Droplets

Dropletshigh

  • API surface is DigitalOcean’s proprietary REST/CLI/Terraform tooling rather than OpenStack Nova/Neutron/Glance APIs (Droplets are managed via DigitalOcean UI/CLI/API/Terraform).
  • Billing is usage-based with per-second billing (60-second minimum and monthly cap) rather than the typical per-hour, quota-based charge model users often see in OpenStack-based clouds.
  • Droplets include a bundled outbound transfer allowance with each plan (starting at 500 GiB/month) rather than a separate bandwidth quota/metering model users often encounter in OpenStack deployments.
  • Droplets are described as Linux-based VMs on virtualized hardware with local SSD storage, whereas OpenStack deployments commonly expose distinct block storage (Cinder) and image services (Glance) and may not bundle bandwidth/monitoring/firewalls into the instance offering.
DigitalOcean docs ↗
▸Google Cloud·VM instances

VM instanceshigh

  • Uses REST API 'instances.insert' instead of Nova 'servers.create' with different auth via service accounts vs Keystone.
  • Supports bare metal instances (no hypervisor), not in standard OpenStack Nova.
  • Network interfaces tied to VPC subnets; differs from Neutron ports/floating IPs.
Google Cloud docs ↗
▸Hetzner·Cloud Servers

Cloud Servershigh

  • Servers provisioned individually via Hetzner API (hcloud), not OpenStack Nova flavors; fixed instance types like CX11 (1 vCPU, 2GB RAM, 20GB NVMe).
  • No flavor customization; choose from predefined shared/dedicated vCPU series.
  • Billing hourly with monthly cap per server (e.g., €3.29/mo cap for CX11), charged even when powered off until deleted, unlike typical OpenStack stop-to-pause billing.
  • Custom REST API at api.hetzner.cloud/v1/servers instead of OpenStack Nova /v2.1/servers (different auth, payloads, response formats).
Hetzner docs ↗
▸Linode·s (Compute Instances)

Linodes (Compute Instances)high

  • Provisioned via the Linode API v4 (/v4/linode/instances) instead of OpenStack Nova /v2.1/servers; auth is a Personal Access Token rather than a Keystone token.
  • Plan selection is fixed (Shared, Dedicated, High Memory, Premium, GPU, Accelerated) with predefined vCPU/RAM/storage; OpenStack flavors can be cloud-defined.
  • Billing is hourly with a monthly cap per plan; powered-off Linodes continue to bill until deleted, unlike pause/suspend semantics common in OpenStack stop-billing setups.
  • Distribution images and StackScripts are first-class; OpenStack uses Glance images and arbitrary userdata.
Linode docs ↗
▸Vultr·Cloud Compute / Bare Metal Instances

Cloud Compute / Bare Metal Instanceshigh

  • Provisioned via the Vultr API v2 (/v2/instances and /v2/bare-metals) instead of OpenStack Nova /v2.1/servers; auth is a Personal Access Token rather than a Keystone token.
  • Plan selection is fixed (Regular Performance, High Performance, High Frequency, CPU Optimized, Memory Optimized, Bare Metal) with predefined vCPU/RAM/storage; OpenStack flavors can be cloud-defined.
  • Billing is hourly with a monthly cap per plan; powered-off Vultr instances continue to bill until destroyed, unlike pause/suspend semantics common in OpenStack stop-billing setups.
  • Marketplace one-click apps and ISO library are first-class; OpenStack uses Glance images and arbitrary userdata.
Vultr docs ↗

Compute migration guides

You move virtual machines and compute workloads to Quake AI from another provider. Major cloud providers do not offer one-click VM migration to OpenStack, so you use rebuild and rsync: you provision a fresh Nova instance from a standard image, install your application stack, and transfer data.

For containerized workloads, you push container images to a portable registry, provision Nova instances, and deploy.

Choose your source provider#

Migration approaches#

You typically choose one of three approaches, depending on your workload type.

You push container images from any source registry (ECR, GCR, ACR, Docker Hub) to a portable registry. You provision Nova instances on Quake AI, install your container runtime, and deploy. This path stays the same no matter which provider you leave.

Non-containerized workloads (rebuild and rsync)#

You provision a fresh Nova instance from a Quake AI public image (Ubuntu, Debian, Rocky Linux). You install your application stack with your existing configuration management tooling (Ansible, cloud-init, shell scripts). You transfer application data and databases with rsync or standard dump/restore tools.

Image export (special cases only)#

AWS, GCP, and Azure support exporting VM images. GCP exports disk images to QCOW2, OpenStack Glance's preferred format, through the Cloud Build pipeline, so you do not run a manual qemu-img conversion step. AWS and Azure require a manual qemu-img conversion step after download. DigitalOcean and Hetzner do not support image export. Use image export only for custom images with many manual changes that are difficult to rebuild.

Quake AI flavor families#

Quake AI offers four flavor families. Use this reference to pick the right target size for your workload.

FamilyNamingRAM per vCPUUse case
General Purposem2a.{size}4 GiBBalanced workloads, web servers, application servers
Compute Optimizedc2a.{size}2 GiBCPU-bound workloads, CI/CD, batch processing
Memory Optimizedr2a.{size}8 GiBDatabases, caching, in-memory analytics
Shared Resourcess1a.{size}1-2 GiBDev/test, low-traffic services, personal projects

Each per-provider guide includes a detailed flavor mapping table with at least 8 common sizes.

What transfers and what does not#

ComponentPortable?Notes
Application data (files, configs)Yesrsync over SSH from source to Quake AI
Databases (PostgreSQL, MySQL)YesStandard pg_dump / mysqldump and restore
Container imagesYesPush to any OCI-compatible registry; pull on Quake AI with your existing runtime
SSH public keysYesImport via openstack keypair create --public-key
cloud-init configsPartialRemove provider-specific datasource references
VM imagesVariesGCP exports QCOW2 via Cloud Build (no manual qemu-img step); AWS/Azure require qemu-img conversion; DO/Hetzner do not support image export
IAM credentialsNoReplace with OpenStack application credentials
Provider-specific metadataNoInstance metadata paths differ between providers

See also#

Usage Guidelines

The sample code, software libraries, command line tools, proofs of concept, templates, and other related technology on this page (including any of the foregoing that is provided by Quake AI personnel) is provided to you as Quake AI Content under the Quake AI Customer Agreement, or the relevant written agreement between you and Quake AI (whichever applies). Do not use this Quake AI Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the Quake AI Content (such as sample code) as appropriate for production grade use based on your specific quality control practices and standards. Deploying Quake AI Content may incur Quake AI charges for creating or using Quake AI chargeable resources, such as running Compute instances or storing data in Object Storage. Your use is also subject to the Acceptable Use Policy.

Comparisons to third-party providers in this material reflect publicly documented behavior as of the validation date below. Pricing, quotas, service limits, and feature availability change frequently on every cloud. Verify provider-specific claims against the provider's own current documentation before relying on them for a procurement, architecture, or migration decision.

For the full policy, see Usage Guidelines.

Last validated: 22.06.2026

Quick answers

Was this page helpful?