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Azurecloud~30 mins

Why caching improves performance in Azure - See It in Action

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Why caching improves performance
📖 Scenario: You are working on a web application hosted on Azure. The app fetches user profile data from a database. To make the app faster and reduce database load, you want to use caching.
🎯 Goal: Build a simple Azure cache setup that stores user profile data temporarily to improve app performance.
📋 What You'll Learn
Create a dictionary called user_profiles with three user IDs and their names.
Create a variable called cache_duration_seconds and set it to 300.
Create a dictionary called cache to store cached user profiles.
Add a function called get_user_profile that checks the cache first, and if not found, fetches from user_profiles and caches it.
💡 Why This Matters
🌍 Real World
Web applications often use caching to speed up data retrieval and reduce database costs.
💼 Career
Cloud engineers and developers use caching to optimize app performance and scalability.
Progress0 / 4 steps
1
Create initial user profile data
Create a dictionary called user_profiles with these exact entries: "user1": "Alice", "user2": "Bob", "user3": "Charlie".
Azure
Need a hint?

Use curly braces to create a dictionary with keys and values.

2
Set cache duration
Create a variable called cache_duration_seconds and set it to 300.
Azure
Need a hint?

Just assign the number 300 to the variable cache_duration_seconds.

3
Create cache dictionary
Create an empty dictionary called cache to store cached user profiles.
Azure
Need a hint?

Use empty curly braces to create an empty dictionary.

4
Add caching function
Create a function called get_user_profile that takes user_id as input. Inside, check if user_id is in cache. If yes, return the cached value. If not, get the profile from user_profiles, store it in cache, then return it.
Azure
Need a hint?

Use if user_id in cache to check cache. Use user_profiles.get(user_id) to get profile safely.