AWS re:Invent 2018: ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores (DAT302-R1)
Published on Nov 29, 2018
In this session, we provide a behind the scenes peek to learn about the design and architecture of Amazon ElastiCache. See common design patterns with our Redis and Memcached offerings and how customers use them for in-memory data processing to reduce latency and improve application throughput. We review ElastiCache best practices, design patterns, and anti-patterns. Complete Title: AWS re:Invent 2018: [REPEAT 1] ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores (DAT302-R1)
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How do I assign a new parameter group to an Elasticache cluster on the fly?
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50:54
AWS re:Invent 2018: ElastiCache Deep Dive: Design Patterns for In-Memory Data Stores (DAT302-R1)
50:54
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AWS re:Invent 2018: Scaling a Fantasy Sports Platform with Amazon ElastiCache & Amazon Aurora STP11
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