Koyeb
Official@koyeb · France
High-performance serverless infrastructure for AI. Run inference, sandboxes, and intensive workloads on CPUs, GPUs & accelerators.
Agent Skills by Koyeb
Showing 16 vetted skills indexed across 1 GitHub repositories.
koyebsandboxes-python-sdk
Manage Koyeb sandbox lifecycle operations using the Python SDK.
koyebdomains
Manage Koyeb domain lifecycle operations via the Koyeb CLI.
koyebservices
Automate lifecycle management of Koyeb services via the Koyeb CLI.
koyebsecrets
Manage Koyeb secrets with create, update, reveal, list, describe, and delete operations.
koyeborganizations
List and switch the active Koyeb organization using CLI commands.
koyebinstances
Inspect and interact with running Koyeb instances using the Koyeb CLI.
koyebdeploy
Automate Koyeb service and app deployments using the Koyeb CLI.
koyebdatabases
Automate Koyeb database lifecycle management via the CLI.
koyebsandboxes-cli
Manage Koyeb sandbox lifecycles with CLI subcommands for create, list, run, and ports.
koyebsetup
Installs the Koyeb CLI, Sandbox SDKs for JavaScript and Python, and configures API tokens across macOS, Linux, Windows.
koyebarchives
Package source code and assets into deployable archives for Koyeb deployments.
koyebsandboxes-js-sdk
Create and manage Koyeb sandboxes programmatically from Node.js using the official JS SDK.
koyebapps
Manage Koyeb app lifecycles from creation to deletion via CLI.
koyebvolumes
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koyebdeployments
Manage Koyeb deployment lifecycles via CLI commands.
koyebversion
Retrieve the installed Koyeb CLI version as a semantic version string.
Frequently Asked Questions About Koyeb
FAQPage SchemaWhat specific tasks can be performed using this infrastructure?▼
Users can deploy services, manage persistent volumes, configure secure secrets, and execute code within isolated sandboxes. The platform supports full lifecycle management of applications, including creation, inspection, and deletion of instances across global regions.
Which personas benefit most from these infrastructure capabilities?▼
Platform engineers, backend developers, and machine learning practitioners benefit from these capabilities. It is designed for those requiring rapid deployment of intensive workloads, GPU-backed inference, and secure, isolated environments without managing underlying server hardware.
What are the prerequisites for deploying services on this platform?▼
Deployment requires the installation of the core management interface and configuration of valid authentication tokens. Users must package source code into deployable archives and define service specifications to initiate lifecycle operations across supported operating systems including macOS, Linux, and Windows.