Items tagged scaling, amazon
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When I worked at Amazon.com we had a deeply-ingrained hatred for all of the SQL databases in our systems. Now, we knew perfectly well how to scale them through partitioning and other means. But making them highly available was another matter. Replication and failover give you basic reliability, but it’s very limited and inflexible compared to a real distributed datastore with master-master replication, partition tolerance, consensus and/or eventual consistency, or other availability-oriented features.
— Matt Brubeck # 4th October 2009, 9:50 am
New Features for EC2: Elastic Load Balancing, Auto Scaling, and Amazon CloudWatch. EC2 now fulfils the promise of “magic scaling in the cloud” out of the box—CloudWatch monitors performance of your EC2 instances without needing to install any monitoring software, Auto Scaling allows you to configure “scaling triggers” which start up new instances based on information from CloudWatch, and Elastic Load Balancing balances requests across all available instances. # 18th May 2009, 10:07 am
Experiences deploying a large-scale infrastructure in Amazon EC2. “At OpenX we recently completed a large-scale deployment of one of our server farms to Amazon EC2. Here are some lessons learned from that experience.” # 10th April 2009, 9:43 am
Eventually Consistent. Werner Vogels explains the trade-offs involved in building scalable, highly-available data stores such as Amazon’s SimpleDB. # 20th December 2007, 5:59 pm
What You Need To Know About Amazon SimpleDB. Amazon have finally launched the database component of their web service suite. It fits a bunch of current trends: key/value pairs, schemaless, built on top of Erlang. “Eventual consistency” is an interesting characteristic. # 14th December 2007, 11:21 am