[AWS Re:Invent 2023] Advanced design patterns with Redis

Redis it can be

• optimized for performance
• simple APIs to access structured data
• flexible consistency and durability guarantees : transactions

Pick the data type for your access pattern

• string
• hash (dict)
• set
• sorted set (usually for ranking information)
• geospatial (geo hash)
• list
• stream

apply to use case

• handle rate limiting of requests
• ex) top 5 restaurants in Las Vegas
• use as a message queue for review ingestion
• improve location performance with a geospatial index