ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Auto Scaling in the Amazon Cloud: Netflix's Approach and Lessons Learned

Another great post for today from the engineering team at Netflix:

Auto scaling is a very powerful tool, but it can also be a double-edged sword. Without the proper configuration and testing it can do more harm than good. A number of edge cases may occur when attempting to optimize or make the configuration more complex. As seen above, when configured carefully and correctly, auto scaling can increase availability while simultaneously decreasing overall costs.

Original title and link: Auto Scaling in the Amazon Cloud: Netflix’s Approach and Lessons Learned (NoSQL database©myNoSQL)

via: http://techblog.netflix.com/2012/01/auto-scaling-in-amazon-cloud.html