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5.5 mm in 1.25 nanoseconds

Randon ASCII

In 2004 I was working for Microsoft in the Xbox group, and a new console was being created. That means, necessarily, that all of the L2 traffic came out through the top of the L2 cache and then made its way to the three different CPUs. Since the Xbox 360 CPU ran at 3.2 nanoseconds for the signals to propagate that 5.5 mm distance!

Cache 126
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

It all started in 2004 when Amazon was running Oracle's enterprise edition with clustering and replication. VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud.

Internet 128
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An Unbelievable Demo

Brendan Gregg

I was an independent performance consultant and Sun Microsystems had just released DTrace, a tool that could instrument all software. It worked for most TCP traffic types but not others, which I warned about in the script comments. It was 2005, and I felt like I was in the eye of a hurricane. I don't think he even said thank you.

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DynamoDB One Year Later - All Things Distributed

All Things Distributed

Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant.

Ecommerce 139
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An Unbelievable Demo

Brendan Gregg

I was an independent performance consultant and Sun Microsystems had just released DTrace, a tool that could instrument all software. It worked for most TCP traffic types but not others, which I warned about in the script comments. It was 2005, and I felt like I was in the eye of a hurricane. I don't think he even said thank you.

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Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer.