How-To
Step-by-step guides to configure the service and use specific features, with clear instructions for common tasks and problem solving.
Create point-in-time Exoscale instance snapshots for recovery, rollback, export, and template creation before risky changes or updates.
Deploy and manage Exoscale instance pools to scale identical instances, automate updates, and use private networking and metadata.
Enable application-consistent Windows backups with VSS and QEMU Guest Agent for safer snapshots, restores, and custom templates.
Use Rescue Mode to boot Exoscale instances with netboot.xyz for recovery, disk repair, password resets, and custom ISO troubleshooting.
Use SSH keypairs to securely access Exoscale Linux instances, import public keys, and connect without relying on passwords.
Improve availability with Anti-Affinity Groups by spreading instances across hypervisors to reduce single-host failure impact.
Secure Windows instances with vTPM, Secure Boot, and BitLocker encryption, including automatic key handling and recovery guidance.
Scale Exoscale instances by resizing CPU, RAM, and disk capacity, with guidance for Linux and Windows filesystem expansion.
Use instance tags to assign key-value metadata to Exoscale instances and retrieve values through the API for configuration workflows.
Configure Windows Server language settings on Exoscale during instance creation using user data for English, German, or French.
Add key-value labels to Exoscale resources like instance pools for organization, metadata management, and automation via Portal or CLI.
Automate Exoscale instance setup with cloud-init and user data for scripts, YAML config, metadata access, and password management.
Build and register Exoscale custom templates with Packer or QCOW2 images for faster instance deployment and tailored configurations.
Manage Exoscale instance storage with LVM, GPT, and UEFI to create, resize, and organize partitions for flexible disk layouts.
Create Exoscale private instances without public IPs and use private networks and NoCloud metadata for isolated workloads and secure access.
Run LLMs on Exoscale GPU instances with Docker, NVIDIA drivers, and vLLM for OpenAI-compatible inference and scalable deployment.
Partition Exoscale MIG-capable GPUs into isolated instances with dedicated compute and memory for efficient multi-workload execution.
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