Bigness
Massive write performance
Fast key-value access
Flexible schema and flexible datatypes
Schema migration
Write availability
Easier maintainability, administration and operations
No single point of failure
Generally available parallel computing
Programmer ease of use
Use the right data model for the right problem
Avoid hitting the wall
Distributed systems support
Tunable CAP tradeoffs
The Big List of NoSQL Use Cases - 0 views
Fast Tests With and Without Rails - Destroy All Software Screencasts - 0 views
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Rails' startup can make running tests, and especially doing TDD, painful. You can escape this for most tests by moving code into the lib directory and testing it outside of Rails. We'll look at the performance of tests with and without Rails, as well as how I configure my environment to automatically skip loading it when possible. The script mentioned at the end of this screencast is available for download.
Yoshinori Matsunobu's blog: Announcing MySQL-MHA: "MySQL Master High Availability manag... - 2 views
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A primary objective of MHA is automating master failover and slave promotion within short (usually 10-30 seconds) downtime, without suffering from replication consistency problems, without spending money for lots of new servers, without performance penalty, without complexity (easy-to-install), and without changing existing deployments. MHA also provides a way for scheduled online master switch: changing currently running master to a new master safely, within a few seconds (normally 0.5-2 seconds) of downtime (blocking writes only).
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