Madelyn Olson

Semantic caching uses vector similarity search to retrieve cached LLM responses for semantically equivalent queries, reducing inference latency and cost in agentic AI architectures.

Operating open source databases at massive scale gives AWS a unique vantage point — we see problems early, at high concurrency, across diverse workloads. When we find them, we don’t just fix it in our managed service — we work upstream to solve it for everyone. In this keynote, Jignesh Shah...

Caching is supposed to make everything faster — until it doesn’t. Madelyn, a Principal Engineer at Amazon ElastiCache, has spent years keeping high-performance caching systems alive under the most demanding production conditions on the planet. In this talk, she’ll share what actually goes wrong...

When paths diverge in open source, innovation often follows. Join Corey Quinn and Madelyn Olson as they dive into how Amazon ElastiCache for Valkey cut prices by up to 33% while simultaneously improving both performance and reliability through community-driven development.

Using Valkey with your application tends to give quick performance wins using only a few strategically placed GETs and SETs. However, understanding all of Valkey’s data types and commands unlocks even more use cases and performance boosts.

Redis is a multi-use, distributed real-time application; it offers low-latency, high-throughput data processing with a variety of data structures that can be used to solve a wide range of problems.

Most applications have an opportunity to use caching to improve performance. In this chalk talk, learn how the AWS Well-Architected Framework can help identify opportunities for caching and the business requirements that guide caching strategies and patterns.

Redis is the “Swiss Army knife” of distributed applications; it offers low latency and high-throughput data processing. This session reviews use cases, examples, and demos of how you can take advantage of Redis to solve distributed system problems like managing state, processing events, and transforming data in real time.

Redis is regarded as the world’s most loved database because of its ease of use and versatility, values that were instilled by its creator, who recently stepped down as maintainer. Redis is now evolving to engage the Community Heroes (AWS) to drive its development.

Redis is the "Swiss Army knife" of distributed apps, offering low-latency and high-throughput data processing. In this session, we go through use cases, examples, and demos of how you can take advantage of Redis to solve distributed system problems like managing state, processing events, and transforming data in real time.

In this session, we show you how to build a caching layer before your primary database to dramatically boost its performance. We walk through a real customer scenario, and we share the challenges, solutions, and best practices when using Amazon ElastiCache as a caching layer.