Remove 2016 Remove Database Remove Infrastructure Remove Scalability
article thumbnail

Expanding the AWS Cloud: Introducing the AWS US East (Ohio) Region

All Things Distributed

In the remainder of 2016 and inq 2017, we will launch another four AWS regions in Canada, China, the United Kingdom, and France, adding another nine AZs to our global infrastructure footprint. We’ll continue to add new infrastructure to grow our footprint and make AWS as useful as possible for all of our customers around the world.

AWS 127
article thumbnail

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

All Things Distributed

After the launch of the AWS APAC (Hong Kong) Region, there will be 19 Availability Zones in Asia Pacific for customers to build flexible, scalable, secure, and highly available applications. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016. In 2013, AWS opened an office in Hong Kong.

AWS 146
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What Adrian Did Next?—?Part 3?—?eBay?—?2004 to 2007

Adrian Cockcroft

Their database model later become known as NoSQL, although it was implemented on top of Oracle, each database held one table and indexes, and there were many sharded Oracle databases for each data set so it could be scaled horizontally as well. The whole company was a few hundred people.

Google 52
article thumbnail

Is MongoDB Open Source? Is Planet Earth Flat?

Percona

They came up with a horizontally scalable NoSQL database. Instead of relational (SQL) databases defined primarily through a hierarchy of related sets via tables and columns, their non-relational structure used a system of collections and documents. 2016: The company adds service-loaded MongoDB Professional to its mix.

article thumbnail

MariaDB vs MySQL: Key Differences and Use Cases

Percona

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). 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.

article thumbnail

5 tips for architecting fast data applications

O'Reilly Software

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.