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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Given that AWS is a pioneer in building and operating these services world-wide, these lessons have been of crucial importance to our business. AWS helps its customers do this too. APIs are forever. Build security in from the ground up.

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

All Things Distributed

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

In supply chain management, connections between airports, warehouses, and retail aisles are critical for cost and time optimization. When using relational databases, traversing relationships requires expensive table JOIN operations, causing significantly increased latency as table size and query complexity grow. Enter graph databases.

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Taking DynamoDB beyond Key-Value: Now with Faster, More Flexible, More Powerful Query Capabilities

All Things Distributed

Moreover, a GSI''s performance is designed to meet DynamoDB''s single digit millisecond latency - you can add items to a Users table for a gaming app with tens of millions of users with UserId as the primary key, but retrieve them based on their home city, with no reduction in query performance.

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