demo-notebooks/guided-demos/1_basic_instascale.ipynb

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   "source": [
    "In this second notebook, we will go over the basics of using InstaScale to scale up/down necessary resources that are not currently available on your OpenShift Cluster (in cloud environments).\n",
    "\n",
    "NOTE: The InstaScale and MCAD components are in Tech Preview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b55bc3ea-4ce3-49bf-bb1f-e209de8ca47a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import pieces from codeflare-sdk\n",
    "from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "614daa0c",
   "metadata": {},
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   "source": [
    "# Create authentication object for user permissions\n",
    "# IF unused, SDK will automatically check for default kubeconfig, then in-cluster config\n",
    "# KubeConfigFileAuthentication can also be used to specify kubeconfig path manually\n",
    "auth = TokenAuthentication(\n",
    "    token = \"XXXXX\",\n",
    "    server = \"XXXXX\",\n",
    "    skip_tls=False\n",
    ")\n",
    "auth.login()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc27f84c",
   "metadata": {},
   "source": [
    "This time, we are working in a cloud environment, and our OpenShift cluster does not have the resources needed for our desired workloads. We will use InstaScale to dynamically scale-up guaranteed resources based on our request (that will also automatically scale-down when we are finished working):\n",
    "\n",
    "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n",
    "The example here is a community image.\n",
    "\n",
    "NOTE: This specific demo requires MCAD and InstaScale to be enabled on the Cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f4bc870-091f-4e11-9642-cba145710159",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create and configure our cluster object (and appwrapper)\n",
    "cluster = Cluster(ClusterConfiguration(\n",
    "    name='instascaletest',\n",
    "    namespace='default', # Update to your namespace\n",
    "    num_workers=2,\n",
    "    min_cpus=2,\n",
    "    max_cpus=2,\n",
    "    min_memory=8,\n",
    "    max_memory=8,\n",
    "    num_gpus=1,\n",
    "    image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n",
    "    mcad=True, # Enable MCAD\n",
    "    instascale=True, # InstaScale now enabled, will scale OCP cluster to guarantee resource request\n",
    "    machine_types=[\"m5.xlarge\", \"g4dn.xlarge\"] # Head, worker AWS machine types desired\n",
    "))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12eef53c",
   "metadata": {},
   "source": [
    "Same as last time, we will bring the cluster up, wait for it to be ready, and confirm that the specs are as-requested:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0884bbc-c224-4ca0-98a0-02dfa09c2200",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Bring up the cluster\n",
    "cluster.up()\n",
    "cluster.wait_ready()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6abfe904",
   "metadata": {},
   "source": [
    "While the resources are being scaled, we can also go into the console and take a look at the InstaScale logs, as well as the new machines/nodes spinning up.\n",
    "\n",
    "Once the cluster is ready, we can confirm the specs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fd45bc5-03c0-4ae5-9ec5-dd1c30f1a084",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.details()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5af8cd32",
   "metadata": {},
   "source": [
    "Finally, we bring our resource cluster down and release/terminate the associated resources, bringing everything back to the way it was before our cluster was brought up."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f36db0f-31f6-4373-9503-dc3c1c4c3f57",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster.down()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c883caea",
   "metadata": {},
   "source": [
    "Once again, we can look at the machines/nodes and see that everything has been successfully scaled down!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d41b90e",
   "metadata": {},
   "outputs": [],
   "source": [
    "auth.logout()"
   ]
  }
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