Memorystore for Redis caching in GCP - Mini Project: Build & Apply

Memorystore for Redis caching

📖 Scenario: You are building a simple caching layer for a web application hosted on Google Cloud Platform. To speed up data retrieval, you want to use Memorystore for Redis, a managed Redis service. This project will guide you through creating a Redis instance, configuring it, and preparing it for use.

🎯 Goal: Create a Memorystore for Redis instance with basic configuration to enable caching for your application.

📋 What You'll Learn

Create a Redis instance with a specific name and tier

Set the Redis memory size

Configure the Redis instance with a region and authorized network

Enable Redis persistence

💡 Why This Matters

🌍 Real World

Memorystore for Redis is used to speed up applications by caching frequently accessed data, reducing database load and improving response times.

💼 Career

Cloud engineers and developers often configure managed Redis instances to optimize application performance and reliability in production environments.

1

Create a Redis instance dictionary

Create a dictionary called redis_instance with these exact keys and values: 'name': 'my-redis-cache', 'tier': 'STANDARD_HA', and 'memory_size_gb': 4.

GCP

# Create the redis_instance dictionary with name, tier, and memory_size_gb
# Your code here

Need a hint?

Use a Python dictionary with the exact keys and values as specified.

2

Add region and authorized network configuration

Add two new keys to the redis_instance dictionary: 'region' with value 'us-central1' and 'authorized_network' with value 'default'.

GCP

redis_instance = {
    'name': 'my-redis-cache',
    'tier': 'STANDARD_HA',
    'memory_size_gb': 4
}
# Add 'region' and 'authorized_network' keys to redis_instance
# Your code here

Need a hint?

Add the new keys directly inside the existing dictionary.

3

Enable Redis persistence

Add a key 'persistence_config' to the redis_instance dictionary with a nested dictionary value containing 'persistence_enabled': true.

GCP

redis_instance = {
    'name': 'my-redis-cache',
    'tier': 'STANDARD_HA',
    'memory_size_gb': 4,
    'region': 'us-central1',
    'authorized_network': 'default'
}
# Add 'persistence_config' with 'persistence_enabled': true
# Your code here

Need a hint?

Use a nested dictionary for the persistence configuration.

4

Add Redis version and complete configuration

Add a key 'redis_version' with value 'REDIS_6_X' to the redis_instance dictionary to specify the Redis version.

GCP

redis_instance = {
    'name': 'my-redis-cache',
    'tier': 'STANDARD_HA',
    'memory_size_gb': 4,
    'region': 'us-central1',
    'authorized_network': 'default',
    'persistence_config': {
        'persistence_enabled': True
    }
}
# Add 'redis_version' key with value 'REDIS_6_X'
# Your code here

Need a hint?

Specify the Redis version as a string in the dictionary.