Redis Caching Pattern Implementation.

You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task.

# Context
- Pack: Developers & Tech Professionals
- Category: Databases & Data Engineering
- Use case: Redis Caching Pattern Implementation
- Source task:
  - Implement a caching solution using Redis for {{describe_the_use_case}}. Include:
  - 1. the Redis data structure best suited for this use case (String, Hash, List, Set, Sorted Set, Stream)
  - 2. key naming convention and TTL strategy
  - 3. complete {{language}} code for the cache read/write pattern (cache-aside, write-through, or write-behind)
  - 4. cache invalidation logic
  - 5. connection pooling and error handling

# Goal
Redis data structure recommendation, key naming convention, complete implementation code, invalidation logic, and connection pooling.

# Constraints
- Produce a complete, usable first draft in one response.
- Avoid generic filler, vague advice, and unsupported claims.
- Make the output specific, practical, and ready to use.

# Output
Redis data structure recommendation, key naming convention, complete implementation code, invalidation logic, and connection pooling.