Pipeformer

How to create compute?

1. Fork the repository
2. Create new directory in compute, created directory will be your project name
3. Create .yaml file with the name of your compute
4. Fill the .yaml file according to your needs, follow this example, verify that your preset is listed in Flavors

   ssh: your-public-key
   
   flavor:
    operating_system: ubuntu_22_04
    disk_space: 15GB
    cpu_cores: 1
    RAM: 1GB
    region: SPB-1
   
   playbooks:
    - name: playbook1
      link: https://some-playbook.com/raw
      vars: [ ]
    - name: playbook2
      link: https://some-playbook.com/raw
      vars: 
        - name: var_name
          value: 1234
        - name: secret_name
          value: "vault@path/to/secret.secret_name"

5. Create merge request to the main branch of the parent repository and wait for approval
6. After approve you will see the pipeline, that will create the compute
7. After the pipeline is finished, you will see your compute information in pipeline logs
8. Grafana dashboard to see your VM system info: https://grafana.levelware.ru/
   login: visitor password: visitor
9. Vault secrets: https://vault.levelware.ru/ Ask @egor-salnikov for credentials

How to delete compute?

1. Fork the repository
2. Delete corresponding .yaml file
3. Create merge request to the main repository and wait for approval

Flavors

Software configurations

OS	Keyword (with version)
CentOS	centos_7, centos_8, centos_9
Ubuntu	ubuntu_18_04, ubuntu_20_04, ubuntu_22_04
Debian	debian_10, debian_11, debian_12
Archlinux	archlinux_2_12

Hardware configurations

CPU	RAM	Disk	Region
1	1GB	15GB	SPB-1 / MSK-1
1	2GB	30GB	SPB-1 / MSK-1
2	2GB	40GB	SPB-1 / MSK-1
2	4GB	50GB	SPB-1 / MSK-1
4	8GB	80GB	SPB-1 / MSK-1

Development

Setting up interpreter

1. Install Python 3.12 or later
2. Install Poetry
3. Run poetry install in the root directory of the project
4. Run poetry shell to activate the virtual environment