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The Amazon.com 2010 Shareholder Letter Focusses on Technology.

All Things Distributed

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. To do so, weve leaned heavily on the core principles from the distributed systems and database research communities and invented from there.

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Expanding the Cloud - Introducing Amazon ElastiCache - All Things.

All Things Distributed

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Amazon DynamoDB â?? Expanding the Cloud â??

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Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

By Werner Vogels on 05 December 2010 02:00 PM. There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Job Openings in AWS - Senior Leader in Database Services.

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Expanding the Cloud – An AWS Region is coming to Hong Kong

All Things Distributed

In 2010, we opened our first AWS Region in Singapore and since then have opened additional regions: Japan, Australia, China, Korea, and India. Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing).

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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

But while this blog happily runs out of S3, the process of creating and updating the content still required a server to run my Moveable Type installation and hold the database. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Job Openings in AWS - Senior Leader in Database Services.

Servers 109
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Simple Parameterization and Trivial Plans — Part 2

SQL Performance

Simple parameterization has a number of quirks in this area, which can result in more parameterized plans being cached than expected, or finding different results compared with the unparameterized version. For the time being, let’s look at some examples using the Stack Overflow 2010 database on SQL Server 2019 CU 14. Users AS U.

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How Parallel Plans Start Up – Part 1

SQL Performance

I used the public Stack Overflow 2013 database ( download details ). The desired plan shape can also be obtained against the smaller Stack Overflow 2010 data set if that is more convenient. See Myth: SQL Server Caches a Serial Plan with every Parallel Plan for details. Creating cached expression values ( runtime constants ).

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