You may have seen Rust on Hacker News, Reddit or Twitter, but what is all the hype about? With Rust just recently having become stable, now’s a great time to learn more about this emerging language that is taking on old stalwarts like C++ without giving up on the expressiveness of higher level languages. Whether you’re a grizzled systems programmer or a dynamic language programmer looking to dip your toe in, this talk will have something for you.
In the last decade, a class of machine learning algorithms popularly know as “deep learning” have produced state-of-the-art results on a wide variety of domains, including image recognition, speech recognition, natural language processing, genome sequencing, and financial data among others. What is deep learning? Why has it become so popular so quickly? How can one fit deep learning into existing pipelines?
In this talk, Ash Furrow, author and iOS engineer at Artsy, presents the current state of Apple’s new programming language: Swift. He’ll begin with a description of why Swift was needed – what problems existed with Objective-C and how does Swift address them? Speaking from experience of developing a production application using Swift, Ash will discuss Swift’s readiness from both technical and business standpoints.
Languages like Scala are making it easier to implement systems with distributed domains and distributed computation. Deployment, monitoring and operation of such systems is often neglected, left to the last moment. Jan will show how architect and implement your system with DevOps in mind right from the start.
In this talk, we’ll roll up our sleeves and use JavaScript 6 features TODAY, on our browsers, writing our code with real ES 6 classes, testing with Karma, running with Gulp and NodeJS. We’ll explore the extensions that let us perform type checking of our methods. We’ll also discuss what areas of the spec to avoid, and how to write your code so it will take advantage of these features while still running well today. Let’s get ready for the future, and start reaping the benefits now.
This talk will explain the rationale behind CQRS/ES, how it fits the Reactive paradigm and the advantages regarding both the technology and business level. We will also discuss the implications of consistency models and how this approach affects Domain Driven Design.
In this talk, we will cover the design of core.async, and then move directly to exploring core.async’s capabilities. Finally, we will assemble these primitives into substantial working programs, building toward the Holy Grail of async: substantial UI application development in the browser, with no callbacks in sight.
Datalog has been a signature feature of Datomic since day one, and the 2015 releases of Datomic add additional expressiveness for hierarchical selection, disjunction, and negation. In this talk, we will cover the basics of Datomic Datalog, and then dive into the latest enhancements, both in the core language and in how Datalog fits into application code.
This talk presents Apache Spark, Spark Streaming, Apache Kafka, Apache Cassandra and Akka as supporting Lambda architecture in the context of a fault tolerant, streaming big data pipeline. We will walk through the Fault Tolerance story with these technologies to build applications, and how to easily implement and integrate them in a Scala Akka application for real-time delivery of meaning at high velocity, in highly distributed and concurrent environments.
We are experiencing a profusion of interconnected devices. Architectures are undergoing radical changes to enable better scaling and resiliency. And at the heart of all of these are several new protocols that are changing the way services communicate. A lot of interest lies with WebSocket, HTTP/2, CoAP, MQTT, XMPP, etc. What can these protocols do? What can we learn from them? And where are things going? This session will explore these questions and more.
