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A Practical Road to SaaS in Python
Armin Ronacher discusses his experiences building SaaS businesses on a Python technology stack from a security and scalability point of view, and what other technologies work well with Python.
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Why We Chose Erlang over Java, Scala, Go, C
Colin Hemmings discusses when and why one should choose Erlang over other options, but also when not to choose it.
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GraphQL for Fun & Profit
Tom Adams introduces GraphQL, explaining why it is useful when dealing with an API.
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Full-Scale Elm in Production
Richard Feldman introduces Elm, how it works, what differentiates it from the other front-end technologies, and gives practical advice for introducing it to an existing JavaScript codebase.
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The Hitchhiker's Guide to Serverless JavaScript
Steve Faulkner discusses Bustle's entire serverless stack. He talks about the good, the bad, and the ugly, sharing real numbers from production systems.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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High Performance Managed Languages
Martin Thompson explores how their managed runtimes can equal, and even better in some cases, the performance of native languages.
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Performance Testing in Java
Ix-chel Ruiz and Andres Almiray talk about the tools, like JMeter and JMH, and some techniques that should make engaging in performance testing a rewarding experience.
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Building Hypermedia Clients
Todd Brackley demonstrates provisioning a network of data through a JavaScript client to show that there is no magic and talks through some of the major design issues.
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Straggler Free Data Processing in Cloud Dataflow
Eugene Kirpichov describes the theory and practice behind Cloud Dataflow's approach to straggler elimination, and the associated non-obvious challenges, benefits, and implications of the technique.
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Goodbye PrintGCDetails... and Other JDK 9 Changes!
Tony Printezis talks about the major changes and improvements coming in JDK 9 that will affect (but also help) anyone who's interested in Java performance monitoring, profiling, and tuning.
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Building Data Pipelines in Python
Marco Bonzanini discusses the process of building data pipelines and all the steps necessary to prepare data, focusing on data plumbing and going from prototype to production.
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