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zellyn/host-redistribution.ipynb

Created June 13, 2023 20:27
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host-redistribution.ipynb
{
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "python",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8"
},
"kernelspec": {
"name": "python",
"display_name": "Python (Pyodide)",
"language": "python"
}
},
"nbformat_minor": 4,
"nbformat": 4,
"cells": [
{
"cell_type": "markdown",
"source": "# Host redistribution\n\nWhat happens if a load balancer connects clients to a random member of a pool of hosts, and then you roll out a restart, forcing reconnects?",
"metadata": {}
},
{
"cell_type": "code",
"source": "from matplotlib import pyplot as plt\nimport random",
"metadata": {
"trusted": true
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"source": "### Set up 50 hosts",
"metadata": {}
},
{
"cell_type": "code",
"source": "hosts = [0] * 50",
"metadata": {
"trusted": true
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "markdown",
"source": "### Allocate 1000 clients randomly",
"metadata": {}
},
{
"cell_type": "code",
"source": "for i in range(1000):\n hosts[random.randrange(len(hosts))] += 1",
"metadata": {
"trusted": true
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": "plt.barh(range(len(hosts)), hosts)",
"metadata": {
"trusted": true
},
"execution_count": 9,
"outputs": [
{
"execution_count": 9,
"output_type": "execute_result",
"data": {
"text/plain": "<BarContainer object of 50 artists>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": "### Simulate a gradual rollout\n\nFor each host, distribute its clients randomly across the other hosts, simulating a rolling restart.",
"metadata": {}
},
{
"cell_type": "code",
"source": "for host in range(len(hosts)):\n for i in range(hosts[host]):\n pos = host\n while pos == host:\n pos = random.randrange(len(hosts))\n hosts[pos] += 1\n hosts[host] = 0",
"metadata": {
"trusted": true
},
"execution_count": 10,
"outputs": []
},
{
"cell_type": "code",
"source": "plt.barh(range(len(hosts)), hosts)",
"metadata": {
"trusted": true
},
"execution_count": 11,
"outputs": [
{
"execution_count": 11,
"output_type": "execute_result",
"data": {
"text/plain": "<BarContainer object of 50 artists>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": "",
"metadata": {},
"execution_count": null,
"outputs": []
}
]
}
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