InfoQ Homepage Performance Content on InfoQ
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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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Scaling Your Cache & Caching at Scale
Alex Miller presents typical difficulties encountered when setting up a cache, plus available choices for designing a distributed caching architecture, and ways to test a cache for performance.
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Scale at Facebook
Beside presenting the overall Facebook architecture and scaling solutions used, Aditya Agarwal talks about the iterative process of constantly improving the site, making sure to avoid over-engineering
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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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SOA Governance: Where the Rubber Meets the Runtime
Harold van Aalst addresses SOA governance at runtime by having a tool capable of discovering when rules or policies are broken in order to be able to act on time to limit the potential damage.
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Open Source at Unibet.com - 10x Scalability at Half the Cost
Stefan Norberg presents Unibet.com’s architecture which uses XHTML 1.0, CSS 2.1, YUI, caching, compression, image spriting, and CDN striping for front-end plus multiple replicas for scaling out.
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SpringOne Panel: The Future of Enterprise Deployment
Javier Soltero, SpringSource CTO of Management Products, hosts this panel discussion on software deployment and what IT operations should be looking for when considering production system needs.
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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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Evolving the Key/Value Programming Model to a Higher Level
Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.
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