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Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

Back when S3 launched on March 14, 2006 (also known as “Pi Day” to some), iPhones didn’t exist, neither did tweets or likes, Facebook was still only used by a few colleges and universities, and you couldn’t hail a ride or order lunch with an app. We had to rethink everything previously known about building scalable systems.

Ecommerce 216
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Auto-Increment Counter Persistence in MySQL 8: Comparing the Evolution From MySQL 5.7

Percona

sec) service mysql restart mysql> select * from users; ERROR 2006 (HY000): MySQL server has gone away No connection. MySQL 8’s solution MySQL 8 addresses the auto-increment counter loss issue in the InnoDB storage engine upon server restart. mysql> select version(); + --+ | version() | + --+ | 5.7.42-46

Servers 113
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Expanding the Cloud - Amazon S3 Reduced Redundancy Storage.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). By Werner Vogels on 18 May 2010 04:00 PM. Comments (). Durability in Amazon S3.

Storage 71
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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. Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost.

AWS 144
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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

© ​​ 2006 ​​ Microsoft Corporation. ​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40
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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). 2006-01-01 ? With the latest ClickHouse version, all of these features are available, but some of them may not perform fast enough. So can we use it as our main datastore? count()?? ?