InfoQ Homepage Performance Content on InfoQ
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Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
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Scaling Australia's Most Popular Online News Sites with Ehcache
A real-world experience of implementing Ehcache at Australia's most visited online news site. How to deal with high traffic, concurrency, and how to implement linear scalability.
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Performance Testing at the Edge
Alois Reitbauer shows how to do performance testing during development, testing, and production by starting early in the development phase, breaking the test into pieces, and testing continuously.
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Obscured by Clouds
Russ Miles and Toby Hobson outline many factors to be considered when adopting a cloud solution, creating a wider view of the cloud from the development and business perspective.
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DevOps Requires Visibility: Monitoring, Testing and Performance
Examining the role of monitoring and testing techniques in solving DevOps problems.
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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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