High Scalability のホット･リンク集： Cassandra@Twitter インタビューもあるよ！

Posted in Hadoop, NoSQL by Agile Cat on February 26, 2010

Hot Scalability Links for February 24, 2010
Wednesday, February 24, 2010 at 8:57AM

なんといっても、第1位の Cassandra @ Twitter: An Interview with Ryan King は必読でしょうね。このインタビューで Ryan King は、HBase／Voldemort／MongoDB／MemcacheDB／Redis／Cassandra／HyperTable などを、以下のポイントで評価した結果として、Cassandra を選んだと言っています。

How will we add new machines?
Are their any single points of failure?
Do the writes scale as well?
How much administration will the system require?
If its open source, is there a healthy community?
How much time and effort would we have to expend to deploy and integrate it?
Does it use technology which we know we can work with? *… and so on.

チラッと見ただけですが、それ以外にも並列キューの話しや、Wordpress でのキャッシュ･ソリューションの話し、そして Facebook での Hive Hadoop 利用に関する QCon プレゼンテーションなどなど、たくさんの High Scalability 事例が紹介されています。どれもオモシロそ～ですよ。。。

Cassandra @ Twitter: An Interview with Ryan King. Great interview by Alex Popescu on Twitter’s thought process for switching to Cassandra. Twitter chose Cassandra because it had more big system features out of the box. Is that Cassandra FTW?
I Had Downtime Today. Here’s What I’m Doing About It by Patrick McKenzie. Awesome deep dive into went wrong with Bingo Card Creator. Sh*t happens. How do you design a process to help prevent it from happening and how do you deal with problems with integrity when they do?
High Availability Principle : Request Queueing by Ashish Soni. Queue request to ride out traffic spikes: 1) Request Queuing allows your system to operate at optimal throughput. 2) Your users only experience linear degradation versus exponential degradation. 3) Your system experiences NO degradation.
pfffft twatter tweeter by Knowbuddy. The reason you should care [about NoSQL] is because now you have more options–you’re not stuck trying to wedge your system into a relational model if you don’t want to. And isn’t /. all about freedom of choice?
WordPress, Varnish and Edge Side Includes. Using Varnish to go from .63 requests per second to 537.44 requests per second.
Facebook’s Petabyte Scale Data Warehouse using Hive and Hadoop by Ashish Thusoo and Namit Jain. How does Facebook deal with 12 TB of compressed new data everyday? They get a bad case of the Hives.