InfoQ Homepage Performance & Scalability Content on InfoQ
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Games for the Masses - How DevOps Affects Architecture Design
Jesper Richter-Reichhelm presents the DevOps integration at Wooga, and how their system architecture has evolved over the years in order to cope with the increasing number of players.
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Dealing with Performance Challenges - Optimized Data Formats
Sastry Malladi discusses the performance implications of using various data formats and versioning across eBay, showing the results of certain benchmarks concluding that JSON is the best format.
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Panel: Multicore, Manycore, and Cloud Computing
Joshua Bloch, Robert Bocchino, Sebastian Burckhardt, Hassan Chafi, Russ Cox, Benedict Gaster, Guy Steele, David Ungar, and Tucker Taft discuss the future of computing in a multicore world.
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Data Infrastructure @ LinkedIn
Sid Anand presents the architecture set in place at LinkedIn and the data infrastructure running Java and Scala apps on top of Oracle, Voldemort, DataBus and Kafka.
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Application Performance Monitoring with AMQP 1.0
Marc Borbas discusses the importance of Application Performance Monitoring, explaining how it can be done with AMQP.
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Keeping Movies Running Amid Thunderstorms!
Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.
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Banking Case Study: Scaling with Low Latency using NewSQL
Jags Ramnarayan and Jim Bedenbaugh present the case of a bank who adopted SQLFire, covering the business requirements, the scalability issues, patterns used and the chosen solution.
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1,000,000 Daily Users and No Cache
Jesper Richter-Reichhelm shares the lessons learned while scaling their game platforms to handle millions of users, each game being built by small teams of two developers without dedicated ops.
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How We (Mostly) Moved from Java to Scala
Graham Tackley discusses how The Guardian switched all new development from Java to Scala, why they did that, what were the benefits and the problems, and why they did not choose Python+Django.
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Akka: Reloaded
Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.
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LMAX Disruptor: 100K TPS at Less than 1ms Latency
Dave Farley and Martin Thompson discuss solutions for doing low-latency high throughput transactions based on the Disruptor concurrency pattern.
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Max Protect: Scalability and Caching at ESPN.com
Sean Comerford unveils ESPN.com’s architecture, what components are used and why, and the current changes the website goes through.
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