bloodredsun : The long and short of it is that Cassandra is a fantastic system for write heavy situations. What it is not good at are read heavy situations where deterministic low latency is required, which is pretty much what the pinterest guys were dealing with.
@ viktorklang : "The e-mail message could not be delivered because the user's mailfolder is full." <-- EMAIL HAS BACKPRESSURE OMG
Interesting Behind the Scenes: Airbnb Neighborhoods . …
…he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.
- Greg Unrein demonstrates how to make Openmix decisions with New Relic data.
- Developer Daniel Kehoe explains how to use Rails 3.2 with Ruby 1.9.3 on Heroku.
- Oracle shares their two-year plan for Java.
- Enterprise Systems shares four things you should consider when selecting a cloud provider.
- Ruby Inside: The Companies Making Ruby Inside Possible in October 2010
- High Scalability: New Relic Architecture - Collecting 20+ Billion Metrics a Day
- RailsLab: State of the Stack: A Ruby on Rails Benchmarking Report - 05 October 2010
- Hackido: Quick Tip: Page caching and POST in Rails
- Comments on: blog: Link dump for September 29th
- Effectif Development: 3 Unix commands for finding performance problems
…Amazon has built all of the above on top of the basic Dynamo ingredients, Cassandra living proof that it's possible. But if Amazon did reuse a lot of the existing Dynamo code base, they hid it really well. All the evidence points to at least heavy usage of a sorted storage system under the covers, which works very well with SSDs, as they make sequential writes and reads nice and fast.
No matter what it is, Amazon has done something pretty great here. They hide most of the complexity …
- A Fresh Cup: Double Shot #800
- Vineet Gupta | Computer Programmer: NoSql Databases - Part 1 - Landscape
- Heroku: NoSQL, Heroku, and You
- carpeaqua by Justin Williams: Recipe for Baked WordPress
- Engine Yard Developer Blog: Key-Value Stores in Ruby: The Wrap Up
- Ruby Inside: Amazon Releases aws-sdk, An Official AWS SDK for Ruby Developers
You're in good hands with HighScalability :
Netflix - Cassandra, AWS, 288 instances, 3.3 million writes per second .
Quotable quotes:
@ bretlowery : "A #DBA walks into a # NoSQL bar, but turns and leaves because he couldn't find a table."
@ AdanVali : HP to Deploy Memristor Powered SSD Replacement Within 18 Months
@ eden : Ori Lahav: "When planning scalability, think x100, design x5 and deploy x1.5 of current traffic"
…went to town. The result was a combination of Google Protocol Buffers, node.js, and Cassandra. Elegant, scalable, and totally unmaintainable.
Dianne is a good developer. Dianne started as a Unix Admin, and moved into Ruby two years ago. When asked to produce the same system, she immediately started asking questions:
"How many devices do we expect to have?"
"Well, we hope to sell 500 in 12 months."
"How often will they need to report in?"
"Roughly …
- Rails Inside: How a Realtime SMS Questions Service Scaled To Super Bowl Traffic with Rails
- Tammer Saleh: RESTful Google Sitemaps for Rails
- Litany Against Fear: I'm afraid of low level programming.
- alexjsharp.com - Home: Goals for 2010
…covering Redis, MongoDB, CouchDB, Riak, and Cassandra, all in varying detail. For some it makes more sense to go deeper than for others.
Are future updates included?
Yes, as content gets added, typos get fixed, and new databases pop up, I'll send updates to everyone buying the book. The updates are free. Consider buying the book a subscription for more chapters on other databases.
Are you extending the book with more databases over time?
Yes, I have an insatiable thirst to …
- Kalzumeus Software: Building Highly Reliable Websites For Small Companies
- blog.webandy.com | Andy Atkinson: WindyCityRails 2009 conference
- RubyLearning Blog: Win a Prize by Telling us about Your Top 3 Most Useful Ruby Gems
- LoGeek's software blog: On JRuby, Resque and Windows
- Ruby Inside: Ruby in 2010: A Retrospective of a Great Year for Ruby
- Software by Rob: The #1 Goal of Your Website
They use Cassandra in multiple regions, and it works well for them.
EBS snapshots can't cross regions.
There is no one size fits all solution.
The most common approaches they see involve multi-AZ configurations with a solid DR plan.
Amazon.com's Journey to the Cloud Retail is everything at Amazon that isn't AWS. Retail is a customer of AWS.
This talk summarizes the history of Amazon retail from 1995 to 2011. I think the switch to AWS was in 2011.
- Merbist: Causality of scalability
- High Scalability: Scaling an AWS infrastructure - Tools and Patterns
- New Relic: New Relic offers proven application performance management for AWS Elastic Beanstalk
- Engine Yard Developer Blog: Announcement: Engine Yard Cloud Price Reductions
- A Programmer's Perspective: How to reindex a Solr Database
- Giles Bowkett: Does Paul Graham Read Hacker News?
…identify the most suitable one for our app, we sorted out the popular open source solutions, such as Cassandra, CouchDB, MongoDB, etc.
As performance was critical, the solutions that could in any way impact the efficiency of the application were dismissed. Thus, we crossed out Cassandra, since it's written in Java and could require substantial memory resources and JVM installation. The application was created utilizing Ruby on Rails, therefore the key-value solution to be chosen …
- Intridea - Company Blog: Easy IP Geotargeting with Geokit and MongoMapper
- paperplanes: MongoDB, Data Durability and Improvements coming in 1.8
- Testing 1,2,3...: MongoDB not ready?
- The "Tech. Arch.": Camping light (nosql) with MongoDB
- MySQL Performance Blog: MongoDB Approach to Availability
- Phusion Corporate Blog: Union Station beta is back online, and here's what we have been up to
…leaks, no restarts). Internally, we use it to interface with MySQL, MongoDB, Cassandra, as well as many other local and remote web-services. Goliath supports HTTP keep-alive, request pipelining, and can be used to build real-time, streaming API's - all features we use to optimize our infrastructure.
Take a look through the readme , check out the documentation , and take a look at some of the examples in the repository: streaming API , handling large …
- Merbist: Ruby concurrency explained
- codahale.com: When Formality Works
- Diego Carrion: Summary of new features in Inploy
- kahfei: thin on windows
- Engine Yard Developer Blog: Ruby Scales, AND It's Fast - If You Do It Right!
- Bamboo Blog: Integrating Pusher Into a Complex App in One Day
…there was a lot of talk about NoSQL. Mongo? Membase? Cassandra? Riak?
Which one will work best for the problem at hand? What if we could try them all really easily by just changing which place the data went to? What if we could try out more than one at once?
I sat down one weekend and started thinking about the app and realized what I just talked about above. Along the way, our data access changed from relational to key lookups. This made me think about a hash.
Hashes are so versatile, …
- Trevor Turk: Links for 2-1-11
- RailsTips by John Nunemaker: Give Yourself Constraints