Best Practices(?): common tactics for server setups & data storage

Deep Learning: Getting Started
3

Hello @JimVincent and @comodoro!

Here is a simple way to deploy your software stack on the Lambda Cloud using Ansible.
eg. create “ready_to_work.yml”

---
# you can run this as follows:
# ansible-playbook --ssh-common-args='-o StrictHostKeyChecking=no' ready_to_work.yml -i lambda_cloud_instance_ip,
# DON'T FORGET THE , IN THE END!
# eg. ansible-playbook --ssh-common-args='-o StrictHostKeyChecking=no' ready_to_work.yml -i 10.0.0.2,
- hosts: all
remote_user: ubuntu
vars:
    ansible_ssh_private_key_file: "~/.ssh/your-private-ssh-key-for-lambda-instances"
    github_username: put_username_here
    github_token: put_password_here
    github_repo: put_repo_name_here
tasks:
# Here, we use the variables set above
# We clone the repo to the home directory of the user
- name: Checkout Your Code From Github Using Ansible.
    git:
    repo: "https://{{ github_token }}@github.com/{{ github_username }}/{{ github_repo }}.git"
    dest: "~/{{ github_repo }}"

- name: Install apt packages
  ansible.builtin.apt:
    name: "{{ item }}"
    state: present
    update_cache: yes
  loop:
    - package1
    - package2

- name: Install pip packages
  ansible.builtin.pip:
    name: "{{ item }}"
  loop:
    - package1
    - package2

# Or start a Docker container
- name: Start Docker container
docker_container:
    name: mycontainer
    state: present
    image: ubuntu:22.04
    command: sleep infinity

You can also create a bash script to check if the Lambda instance has booted (by checking if port 22 is active) and then run the ansible script on it.

Create bash_script.sh

until nc -vzw 2 $1 22; do sleep 2; done
ansible-playbook --ssh-common-args='-o StrictHostKeyChecking=no' rready_to_work.yml -i $1,

Run it like this:
$ bash bash_script.sh <instance_ip>

Best,
Yanos

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