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How NOT to Measure Latency
Gil Tene provides an in-depth overview of Latency and Response Time Characterization, including proven methodologies for measuring, reporting, and investigating latencies, including pitfalls to avoid.
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Test-Driven Microservices: System Confidence
Russ Miles shows how we can build production-level confidence in our polyglot microservices by applying the test-driven approach to synchronous (REST) and asynchronous (Messaging) services.
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Monkeys in Lab Coats: Applying Failure Testing Research @Netflix
The authors present how lineage-driven fault injection evolved from a theoretical model into an automated failure testing system that leverages Netflix’s fault injection and tracing infrastructures.
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Understanding Hardware Transactional Memory
Gil Tene explores the underlying mechanics that power HTM on current platforms, focusing on things developers need to understand when contemplating the use of HTM in new and existing code.
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#NetflixEverywhere Global Architecture
Josh Evans discusses architectural patterns used by Netflix to enable seamless, multi-region traffic management, reliable, fast data propagation, and efficient service infrastructure.
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Unevenly Distributed
For over a year now, Adrian has been reading a research paper every weekday and posting a summary to his blog, 'The Morning Paper.' This is the story of what he has learned on the journey
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Creating a Rainstorm Using Infrared and C#
Lisa Taylor shares the story of programming trial and error. Using C#, JavaScript, pixels and bitmaps, loops and infrared light she created a digital rainstorm inside a shipping container.
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Go On, Say Yes, And…
Jeanine Spence explores the customer centric and iteration concepts of Design Thinking as an approach to problem solving through the lens of the personal, presenting 5 ways to put them into practice.
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Tap into Greatness
Sarah Singer-Nourie shares the secrets to optimizing and upgrading your own default settings, choosing your impact and tapping into your energy, to step into the optimal version of yourself every time
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NET Machine Learning: F# and Accord.NET
Alena Hall presents various machine learning algorithms available in Accord.NET - a framework for machine learning and scientific computing in .NET.
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Lessons in Extreme .NET Performance
Ben Watson provides a deep-dive introduction to what you need to know to squeeze out the ultimate performance from your .NET code, along with war stories from building the Bing platform query engine.
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Data Structures in and on IPFS
Juan Batiz-Benet makes a short intro of IPFS (the InterPlanetary File System) and discusses the IPLD data model and example data structures (unixfs, keychain, post).
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