If things go to plan, Dave Thomas will contend that we are looking at emerging technology wrongly. By definition, newer will be worse than older, at least in the short term. And yet we jump like lemmings off the bright and shiny cliff. So how do we find a balance?
Diana Larsen, co-author of Agile Retrospectives: Making Good Teams Great, will introduce you to a simple framework for getting better outcomes from retrospective meetings, suggest ways to maintain the relevance of improvement to the work of your team, and provide tips and pointers to get great returns from the time your teams devote to every meeting.
Performance tuning is a methodical and an iterative process. It is imperative to have a performance plan coexist with a product development plan. A performance plan not only serves to document the requirements but also feeds into designing the performance experiments and helps in providing a clear understanding of the performance infrastructural needs.
This talk will be an accessible exploration of the JVM Heap, thread stacks and concurrency primitives on the JVM and how to compose multi-threaded code in Java and Scala.
In this talk we will talk about the design of Netflix’s Mesos framework and the scheduler. We will focus on the following aspects of the scheduler – Bin packing algorithms, scaling in and out of clusters, fault tolerance of processes via reconciliation and processing life cycle events, multi-geography/cross data center redundancy.
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.
