chant on GCP and Azure

For a team on Google Cloud or Azure: Config Connector resources and ARM templates from TypeScript, with a local emulator for each cloud.

Works

• GCP Config Connector resources and Azure ARM templates from TypeScript
• Local deploys to floci-gcp through gcpApply and to floci-az through azApply, with no account
• GKE and AKS clusters with their workloads from the Kubernetes lexicon, in one project

Differs

By forge

GitHub

• --generate github writes the pull-request workflow under .github/workflows/, run on pull_request and on push to the target branch.
• Both jobs use the job's own github.token. On a pull request from a fork that token is read-only, so the plan note and the status are not posted.

GitLab

• --generate gitlab writes .gitlab-ci.yml, and apply runs one at a time per environment through resource_group.
• A CI job token cannot write merge request notes, so set a project access token with the api scope as the masked variable CHANT_FORGE_TOKEN.

Forgejo

• --generate forgejo writes the GitHub workflow in the Forgejo dialect under .forgejo/workflows/: the runner label, action references by URL, and no permissions block.
• Forgejo workflows are GitHub-dialect, so chant audit applies its GitHub rules to them.

First step

For Azure, use azure in place of gcp.

npm install --save-dev @intentius/chant-lexicon-gcp
npx chant init my-infra --lexicon gcp

Local Testing

Or hand this step to your coding agentIt stops at a pull request or a report.

Read https://intentius.io/chant/for/gcp-azure/.
Set up chant in this repository with the gcp lexicon, or the azure lexicon when the repository targets Azure; use `azure` in place of `gcp` below.
Install it with `npm install --save-dev @intentius/chant-lexicon-gcp`, run `npx chant init . --lexicon gcp`, and read every `skills/*/SKILL.md` it writes before you author anything.
Run `npx chant build` and `npx chant lint` until both pass, and open a pull request with the result. Deploy only to the local emulator (floci-gcp or floci-az), and only when I ask.
Never deploy to a real cloud account or shared environment (with `chant run`, `chant components` or a platform's own CLI), approve (a pull request review, `chant approve` or `chant run approve`), override a policy denial (`chant approve policy-override`), or merge; never cut or publish a release (`chant release cut --yes` or `chant release publish`), push or delete a `ci/*` tag (`chant ci tick` pushes them), or change the value of an existing flag; never touch `.chant/allowed_signers` or `chant/lifecycle`.

Show the whole prompt

Read https://intentius.io/chant/for/gcp-azure/.
Set up chant in this repository with the gcp lexicon, or the azure lexicon when the repository targets Azure; use `azure` in place of `gcp` below.
Install it with `npm install --save-dev @intentius/chant-lexicon-gcp`, run `npx chant init . --lexicon gcp`, and read every `skills/*/SKILL.md` it writes before you author anything.
Run `npx chant build` and `npx chant lint` until both pass, and open a pull request with the result. Deploy only to the local emulator (floci-gcp or floci-az), and only when I ask.
Never deploy to a real cloud account or shared environment (with `chant run`, `chant components` or a platform's own CLI), approve (a pull request review, `chant approve` or `chant run approve`), override a policy denial (`chant approve policy-override`), or merge; never cut or publish a release (`chant release cut --yes` or `chant release publish`), push or delete a `ci/*` tag (`chant ci tick` pushes them), or change the value of an existing flag; never touch `.chant/allowed_signers` or `chant/lifecycle`.

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Proof

Example projects in the chant repository for this room, each with a README that has the commands to run it. The last rows count the examples each lexicon ships, read from the repository when this site was built.

Example	Where
local-cloud-trio	examples/local-cloud-trio
k8s-gke-microservice	examples/k8s-gke-microservice
k8s-aks-microservice	examples/k8s-aks-microservice
cockroachdb-multi-region-gke	examples/cockroachdb-multi-region-gke
8 examples	lexicons/gcp/examples
13 examples	lexicons/azure/examples

Then read

Tasks

Local testing on GCPLocal testing on AzureGCP GKE + KubernetesAzure AKS + KubernetesCockroachDB Multi-RegionRay + KubeRay on GKE

Background

Choosing Your Deployment ModelWhere Values Come From

Reference

GCP Config Connector lexiconAzure ARM lexicon