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The AWS Developers Podcast
In-Memory Solutions on AWS: ElastiCache, Valkey, and MemoryDB Explained
Feb 28, 2025
Lakshmi Peri, a Senior Specialist Solution Architect at AWS, dives into the world of in-memory database solutions. She shares the evolution of ElastiCache and introduces the innovative Valkey and MemoryDB. The discussion highlights strategies for optimizing performance and reducing latency. Lakshmi explains how these technologies enhance applications through real-time data caching, tailored solutions, and efficient geospatial data management. She also compares in-memory databases to traditional ones, making the case for their crucial role in modern development.
41:46
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Quick takeaways
- In-memory databases like ElastiCache and MemoryDB significantly enhance application performance by providing rapid data access and reducing latency.
- Deciding between serverless and traditional caching solutions depends on workload patterns, with serverless options offering dynamic scaling and reduced operational overhead.
Deep dives
Overview of In-Memory Databases
In-memory databases are crucial for improving application performance due to their ability to provide rapid data access and reduced latency. They function as intermediaries between applications and traditional databases, significantly speeding up data retrieval processes. Various services are available, including Elastic Cache and MemoryDB, each catering to different durability requirements and use cases. Elastic Cache, in particular, supports multiple engines, allowing for semi-durable storage options like Redis and fully ephemeral caches like Memcached.
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