Multi-region deployment in MLOps - Mini Project: Build & Apply

Multi-region Deployment Setup

📖 Scenario: You work for a company that wants to deploy a machine learning model in multiple cloud regions to reduce latency and improve availability for users worldwide.Each region will have its own deployment configuration.

🎯 Goal: Build a simple Python dictionary that holds deployment configurations for three regions, add a variable to select the active region, filter the configuration for the active region, and print the deployment details.

📋 What You'll Learn

Create a dictionary named deployments with exact keys and values for three regions.

Add a variable named active_region with the exact value 'us-east-1'.

Use a dictionary comprehension to create active_deployment containing only the active region's configuration.

Print the active_deployment dictionary.

💡 Why This Matters

🌍 Real World

Multi-region deployment helps reduce latency and improve reliability by placing services closer to users in different geographic locations.

💼 Career

Understanding how to manage configurations for multi-region deployments is important for roles in MLOps, DevOps, and cloud engineering.

1

Create deployment configurations dictionary

Create a dictionary called deployments with these exact entries:
'us-east-1': {'model_version': 'v1.0', 'instances': 3},
'eu-west-1': {'model_version': 'v1.1', 'instances': 2},
'ap-southeast-1': {'model_version': 'v1.0', 'instances': 4}.

MLOps

# Create the deployments dictionary with three regions
# Your code here

Need a hint?

Use curly braces to create a dictionary. Keys are region names as strings. Values are dictionaries with keys model_version and instances.

2

Set the active deployment region

Create a variable called active_region and set it to the string 'us-east-1'.

MLOps

deployments = {
    'us-east-1': {'model_version': 'v1.0', 'instances': 3},
    'eu-west-1': {'model_version': 'v1.1', 'instances': 2},
    'ap-southeast-1': {'model_version': 'v1.0', 'instances': 4}
}
# Set the active_region variable to 'us-east-1'
# Your code here

Need a hint?

Assign the string 'us-east-1' to the variable active_region.

3

Filter deployment for the active region

Use a dictionary comprehension to create a new dictionary called active_deployment that contains only the entry from deployments where the key matches active_region.

MLOps

deployments = {
    'us-east-1': {'model_version': 'v1.0', 'instances': 3},
    'eu-west-1': {'model_version': 'v1.1', 'instances': 2},
    'ap-southeast-1': {'model_version': 'v1.0', 'instances': 4}
}
active_region = 'us-east-1'
# Create active_deployment dictionary with only the active_region entry
# Your code here

Need a hint?

Use {key: value for key, value in dict.items() if condition} to filter the dictionary.

4

Print the active deployment configuration

Write a print statement to display the active_deployment dictionary.

MLOps

deployments = {
    'us-east-1': {'model_version': 'v1.0', 'instances': 3},
    'eu-west-1': {'model_version': 'v1.1', 'instances': 2},
    'ap-southeast-1': {'model_version': 'v1.0', 'instances': 4}
}
active_region = 'us-east-1'
active_deployment = {region: config for region, config in deployments.items() if region == active_region}
# Print the active_deployment dictionary
# Your code here

Need a hint?

Use print(active_deployment) to show the filtered dictionary.