Remove Cache Remove Ecommerce Remove Storage
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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

The Amazon.com ecommerce platform consists of hundreds of decoupled services developed and managed in a decentralized fashion. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform.

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Hierarchical Navigation and Faceted Search on Top of Oracle Coherence

Highly Scalable

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. So, the only way was to cache all necessary data to minimize interaction with RDBMS.

Ecommerce 100
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. PostgreSQL & Elastic for data storage. REDIS for caching.

AWS 128
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A one size fits all database doesn't fit anyone

All Things Distributed

This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Zynga also uses ElastiCache (Memcached and Redis) in place of their self-managed equivalents for in-memory caching. Queries that used to take 30 seconds now take one second.

Database 167
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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The Power of Integrated Analytics Within an IMDG

ScaleOut Software

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Typical uses include storing session-state and ecommerce shopping carts, product descriptions, airline reservations, financial portfolios, news stories, online learning data, and many others.