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The Back-to-Basics Readings of 2012 - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. The Back-to-Basics Readings of 2012. By Werner Vogels on 18 December 2012 10:00 PM. Jul - 13 Hints for Computer Systems Design Proceedings of the Ninth ACM Symposium on Operating Systems Principles, pp. All Things Distributed.

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MariaDB vs MySQL: Key Differences and Use Cases

Percona

While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation. In addition, MariaDB provides optimal scalability options, making it ideal for growing workloads. Contact us to learn more!

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Back-to-the-Future Weekend Reading - CryptDB - All Things.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. By Werner Vogels on 14 September 2012 05:00 PM. That goes especially for the interaction between applications and storage engines, and between applications and databases. All Things Distributed. Back-to-the-Future Weekend Reading - CryptDB.

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Expanding the Cloud for Windows Developers - All Things Distributed

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. By Werner Vogels on 08 May 2012 02:00 PM. of administrative tasks such as OS and database software patching, storage management, and implementing reliable backup and disaster recovery solutions. All Things Distributed. Comments ().

Cloud 115
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AppFabric Caching: Retry Later

ScaleOut Software

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. We believe that installing our software should be as straightforward as we can make it, requiring minimal knowledge of the host operating system and the fewest possible explicit configuration settings.

Cache 40
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. About 20 percent would return a set of rows, but still operate on only a single table.

Internet 128