Few weeks ago while I was mulling over what kind of service registry/discovery system to use for a scalable application deployment platform, I realized that for mid-size organizations with complex set of services, building one from scratch may be the only option.
I also found out that many AWS/EC2 customers have already been using S3 and [...]

So there is someone who thinks “eventual consistency is just caching”.  Though I liked the idea of discussing this, I don’t agree with Udi’s views on this.
“Cache” is generally used to store data which is more expensive to obtain from the primary location. For example, caching mysql queries is ideal for queries which could [...]

Large distributed systems run into a problem which smaller systems don’t usually have to worry about. “Brewers CAP Theorem” [ Ref 1] [ Ref 2] [ Ref 3]  defines this problem in a very simple way.
It states, that though its desirable to have Consistency, High-Availability and Partition-tolerance in every system, unfortunately no system can [...]

Cassandra is the only NOSQL datastore I’m aware of, which is scalable, distributed, self replicating, eventually consistent, schema-less key-value store running on java which doesn’t have a single point of failure. HBase could also match most of these requirements, but Cassandra is easier to manage due to its tiny footprint.
The one thing Cassandra doesn’t do [...]