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Each deployment now gets its own Kubernetes namespace (laconic-{deployment_id}).
This provides:
- Resource isolation between deployments on the same cluster
- Simplified cleanup: deleting the namespace cascades to all namespaced resources
- No orphaned resources possible when deployment IDs change
Changes:
- Set k8s_namespace based on deployment name in __init__
- Add _ensure_namespace() to create namespace before deploying resources
- Add _delete_namespace() for cleanup
- Simplify down() to just delete PVs (cluster-scoped) and the namespace
- Fix hardcoded "default" namespace in logs function
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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|---|---|---|
| .gitea/workflows | ||
| .github/workflows | ||
| docs | ||
| scripts | ||
| stack_orchestrator | ||
| tests | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| AI-FRIENDLY-PLAN.md | ||
| CLAUDE.md | ||
| laconic-network-deployment.md | ||
| LICENSE | ||
| MANIFEST.in | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| README.md | ||
| requirements.txt | ||
| setup.py | ||
| STACK-CREATION-GUIDE.md | ||
| TODO.md | ||
| tox.ini | ||
Stack Orchestrator
Stack Orchestrator allows building and deployment of a Laconic Stack on a single machine with minimial prerequisites. It is a Python3 CLI tool that runs on any OS with Python3 and Docker. The following diagram summarizes the relevant repositories in the Laconic Stack - and the relationship to Stack Orchestrator.
Install
To get started quickly on a fresh Ubuntu instance (e.g, Digital Ocean); try this script. WARNING: always review scripts prior to running them so that you know what is happening on your machine.
For any other installation, follow along below and adapt these instructions based on the specifics of your system.
Ensure that the following are already installed:
- Python3:
python3 --version>=3.8.10(the Python3 shipped in Ubuntu 20+ is good to go) - Docker:
docker --version>=20.10.21 - jq:
jq --version>=1.5 - git:
git --version>=2.10.3
Note: if installing docker-compose via package manager on Linux (as opposed to Docker Desktop), you must install the plugin, e.g. :
mkdir -p ~/.docker/cli-plugins
curl -SL https://github.com/docker/compose/releases/download/v2.11.2/docker-compose-linux-x86_64 -o ~/.docker/cli-plugins/docker-compose
chmod +x ~/.docker/cli-plugins/docker-compose
Next decide on a directory where you would like to put the stack-orchestrator program. Typically this would be
a "user" binary directory such as ~/bin or perhaps /usr/local/laconic or possibly just the current working directory.
Now, having selected that directory, download the latest release from this page into it (we're using ~/bin below for concreteness but edit to suit if you selected a different directory). Also be sure that the destination directory exists and is writable:
curl -L -o ~/bin/laconic-so https://git.vdb.to/cerc-io/stack-orchestrator/releases/download/latest/laconic-so
Give it execute permissions:
chmod +x ~/bin/laconic-so
Ensure laconic-so is on the PATH
Verify operation (your version will probably be different, just check here that you see some version output and not an error):
laconic-so version
Version: 1.1.0-7a607c2-202304260513
Save the distribution url to ~/.laconic-so/config.yml:
mkdir ~/.laconic-so
echo "distribution-url: https://git.vdb.to/cerc-io/stack-orchestrator/releases/download/latest/laconic-so" > ~/.laconic-so/config.yml
Update
If Stack Orchestrator was installed using the process described above, it is able to subsequently self-update to the current latest version by running:
laconic-so update
Usage
The various stacks each contain instructions for running different stacks based on your use case. For example:
Deployment Types
- compose: Docker Compose on local machine
- k8s: External Kubernetes cluster (requires kubeconfig)
- k8s-kind: Local Kubernetes via Kind - one cluster per host, shared by all deployments
External Stacks
Stacks can live in external git repositories. Required structure:
<repo>/
stack_orchestrator/data/
stacks/<stack-name>/stack.yml
compose/docker-compose-<pod-name>.yml
deployment/spec.yml
Deployment Commands
# Create deployment from spec
laconic-so --stack <path> deploy create --spec-file <spec.yml> --deployment-dir <dir>
# Start (creates cluster on first run)
laconic-so deployment --dir <dir> start
# GitOps restart (git pull + redeploy, preserves data)
laconic-so deployment --dir <dir> restart
# Stop
laconic-so deployment --dir <dir> stop
spec.yml Reference
stack: stack-name-or-path
deploy-to: k8s-kind
network:
http-proxy:
- host-name: app.example.com
routes:
- path: /
proxy-to: service-name:port
acme-email: admin@example.com
config:
ENV_VAR: value
SECRET_VAR: $generate:hex:32$ # Auto-generated, stored in K8s Secret
volumes:
volume-name:
Contributing
See the CONTRIBUTING.md for developer mode install.
Platform Support
Native aarm64 is not currently supported. x64 emulation on ARM64 macos should work (not yet tested).
