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Guides

One subject per page of the GRN.CLOUD console, each in three parts:

Page What it is for
Overview What the thing is, how it fits together, and what cannot be changed later. Start here.
Step-by-step guide Create, list, change and delete as YAML you can apply with oc or commit to Git.
Console walkthrough The same four operations in the console, with screenshots.

The console and the CLI are the same objects. The forms build the manifests shown in the step-by-step guides, so anything created in the console can be read, edited or recreated with oc, and anything applied with oc shows up in the console.

Every page in this section has a guided tour in the console

Open the page and click Start the tour beside the create button. The tour highlights each field as you go and checks your work at each step.

All guides

Type to narrow the list. The filter matches the name and the description, so key, public IP or postgres each land on one row.

Guide Area What you get
PostgreSQL Databases A database on your project's PostgreSQL server
MariaDB Databases A database on your project's MariaDB server
Redis Databases A private in-memory cache with its own storage
S3 buckets Storage Object storage, with credentials issued to your project
Volumes Storage Block and file storage attached to workloads
Load balancers Networking Publish a service outside the cluster
Firewalls Networking Restrict what may reach a service
Subnets Networking An isolated network, optionally reachable from outside
VM with a direct public IP Networking A virtual machine addressable from the internet without a load balancer
Fixed address for a pod or VM Networking One subnet address that survives pod restarts
Identity domains Identity The realm that holds your users and groups
Users Identity People who can sign in
Groups Identity Collections of users that permissions are granted to
Clients Identity Applications allowed to authenticate against a domain
Two ways to run models AI Whether to use the platform's gateway and serving, or run your own
LLM gateways AI One OpenAI-compatible endpoint for your team, with keys and budgets
Virtual keys AI Scoped access for a teammate, app or agent, with a spend limit
Model providers AI An upstream provider or your own endpoint, behind a model name
Self-hosted models AI Open-weight models served on EU GPUs
Workbenches AI A JupyterLab or VS Code environment beside your models
Coding agents AI OpenCode, Claude Code or Codex, running on your own gateway
MCP servers AI The tools an agent calls
Agent sandboxes AI Isolated execution of agent-generated code
Managed applications Managed applications GRN.CLOUD installs and upgrades the application, you change its settings
Invoices and payment Account Where invoices are, and how an overdue invoice pauses the account
Paused accounts and restore Account Pause after the last order ends, deletion 10 minutes later, restore from backup
The compliance check Account Sanctions screening, and what a possible or confirmed match means

AI & machine learning describes how the AI pieces fit together.

Where these fit

The product pages say what each capability is and how it fits together. These guides say how to operate it.