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Expanding the Cloud: More memory, more caching and more performance for your data

All Things Distributed

Certain parts of our architecture used to run on relational databases but we just couldn’t scale them fast enough to meet the demands of our fast growing online retail business, particularly during the holiday shopping seasons. In a relational database, the memory working set size is critical for database performance.

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Scaling Amazon ElastiCache for Redis with Online Cluster Resizing

All Things Distributed

Redis's microsecond latency has made it a de facto choice for caching. Four years ago, as part of our AWS fast data journey, we introduced Amazon ElastiCache for Redis , a fully managed, in-memory data store that operates at microsecond latency. Whether it is gaming, adtech, travel, or retail—speed wins, it's simple.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g.

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

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