InfoQ Homepage Performance Content on InfoQ
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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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Advanced GORM - Performance, Customization and Monitoring
Burt Beckwith discusses potential performance problems using mapped collections and Hibernate 2nd-level cache in GORM, along with strategies for avoiding such performance penalties.
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Squid Wrangling
Sam Newman and Chris Read describe the architectural change of a large European website by introducing a caching layer based on Squid, and the cultural change done by breaking down the dev-ops silos.
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Deriving Agility from SOA and BPM - Ten Things that Separate the Winners from the Losers
Manas and Clemens discuss deriving business agility from SOA and BPM, how SOA and BPM enable agility, and pitfalls/recommendations for organizational culture, business and technical architectures.
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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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