InfoQ Homepage Scalability Content on InfoQ
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Get Satisfaction Uses Ruby on Rails and Cloud Computing Platform to Achieve Scalability and Reliability
Thor Muller presents how Get Satisfaction managed to reliably scale their Ruby on Rails-based customer community platform using Agile, TDD, BDD, and by deploying their framework in the cloud.
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Scaling with MongoDB
Roger Bodamer provides advice on scaling out MongoDB using replica sets and auto-sharding, plus tips for database deployment and scaling use cases.
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Being Elastic - Evolving Programming for the Cloud
Randy Shoup discusses the cloud programming model, covering topics such as state/statelessness, distribution, workload partitioning, cost and resource metering, automation, and deployment strategies.
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Embracing Concurrency At Scale
Justin Sheehy explains the principles behind concurrent distributed systems: no global state, no ACID but rather BASE, no RPC but protocols over APIs, prepare for failure, degradation, measurement.
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Facebook: Moving Fast at Scale
Robert Johnson talks about: the need to prepare for horizontal scalability, very short release cycles associated with a streamlined deploying process, and making the entire process faster every day.
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Patterns for Cloud Computing
Simon Guest presents 5 cloud computing patterns along with examples and Azure solutions for scaling, multi-tenancy, computing, storage and communication.
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Horizontal Scalability via Transient, Shardable, and Share-Nothing Resources
Adam Wiggins details how memcached, CouchDB, Hadoop, Redis, Varnish, RabbitMQ, Erlang apply the transient, shardable and share-nothing principles to achieve horizontal scalability.
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Rails in the Large: How Agility Allows Us to Build One Of the World's Biggest Rails Apps
Neal Ford shows what ThoughtWorks learned from scaling Rails development: infrastructure, testing, messaging, optimization, performance.
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SOA @ eBay: What Makes It Successful?
Malladi talks about challenges met while implementing large scale SOA deployments, giving eBay as an example of an efficient, extensible and scalable SOA platform with an automated governing process.
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Between the Battleship and the Failwhale
In this talk from FutureRuby, Paul Downman takes a look at scalability - what it is, how to achieve it and which tools and software to use.
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Multicore Programming in Erlang
Ulf Wiger shows typical Erlang programs, patterns that scale well on multicore and patterns that don't, profiling and debugging parallel applications and ensuring correct behaviour with QuickCheck.
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Three Years of Real-World Ruby
Martin Fowler talks about ThoughtWorks's experience with using Ruby on client projects for the past three years.
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