RoR

How to Scale with Ruby on Rails

General Chicken

Sep 23, 2008 — 1 min read

By George Palmer of 3dogsbark.com. Covers:
* How you start out: shared hosting, web server DB on same machine. Move two 2 machines. Minimal code changes.
* Scaling the database. Add read slaves on their own machines. Then master-master setup. Still minimal code changes.
* Scaling the web server. Load balance against multiple application servers. Application servers scale but the database doesn't.
* User clusters. Partition and allocate users to their own dedicated cluster. Requires substantial code changes.
* Caching. A large percentage of hits are read only. Use reverse proxy, memcached, and language specific cache.
* Elastic architectures. Based on Amazon EC2. Start and stop instances on demand. For global applications keep a cache on each continent, assign users to clusters by location, maintain app servers on each continent, use transaction replication software if you must replicate your site globally.

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This is a guest article by Stanislav Kozlovski, an Apache Kafka Committer. If you would like to connect with Stanislav, you can do so on Twitter and LinkedIn. AWS S3 is a service every engineer is familiar with. It’s the service that popularized the notion of cold-storage to the

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Kafka 101

Capturing A Billion Emo(j)i-ons

Brief History of Scaling Uber

Behind AWS S3’s Massive Scale