InfoQ Homepage Presentations
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The Many Faces of Apache Kafka: How is Kafka Used in Practice
Neha Narkhede discusses how companies are using Apache Kafka and where it fits in the Big Data ecosystem.
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Breaking Bad at Netflix: Building Failure as a Service
Kolton Andrus presents how Netflix, in order to harden their systems, designed “Failure as a Service” to allow anyone to test and validate how their systems handle failure.
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Tasty Recipes for OSGi Bundles
Gunnar Wagenknecht introduces the Eclipse Bundle Recipes project, explaining how to turn a library from Maven into an OSGi bundle, and how to deploy recipes and build systems to a local environment.
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Model Migration with Edapt
Maximilian Koegel introduces Edapt, describing its basic features and demonstrating how it can be used for migrating models in real life applications.
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What Elixir is About
José Valim introduces Elixir and some of the most important features: data types, modules, async, collections, parallelism, streams, etc.
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Design vs. Data: Enemies or Friends?
Big Design Upfront was considered so evil in the early days of Agile that it acquired its own acronym. It’s time we relearned that great products start with asking the right questions.
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Compile-time Computations in C++14
Peter Sommerlad covers compile-time computations available in C++14: constexpr functions and constants, literal types, variable templates, variadic templates and what can be expected in the future.
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Netflix’s Viewing Data Microservices: How we Know Where you are in House of Cards
Matt Zimmer discusses architectural patterns -service decomposition, stateless application tiers, and polyglot persistence- and migration strategies used by Netflix.
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Developing Functional Domain Models with Event Sourcing
Chris Richardson describes how to implement business logic using a domain model that is based on event sourcing. He compares and contrasts a hybrid OO/FP design with a purely functional approach.
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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!
Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.
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Distributed Eventually Consistent Computations
Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.
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Taking the Pain out of Real-time Mobile Back-end Development
Mandy Waite shows how to get started with Firebase before walking through a live demo of building a multi-user, collaborative mobile app that provides real-time updates to its users.
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