Presentations

From the abstract: “Design thinking is emerging as a way to guide organizations in how to accept mystery and move through heuristics before moving to an algorithmic view of business. Complexity theory asks us to be intentional about the systems in which we find ourselves and the transitions we must be prepared to make in and around our ordered and unordered systems. By combining these two disciplines, you can begin to balance exploration and execution in how you create and…

From the abstract: “By now, it’s no secret that asynchronous and non-blocking code means fast and responsive software stacks that scale to the moon. The only problem? Asynchronous code usually means callback hell that’s impossible to write, impossible to reason about, and even worse to maintain. Not anymore— Scala 2.10 brings an asynchronous, completely non-blocking, composable Futures and Promises API. And best yet? Code using it looks sequential— nice and easy to reason about. In this talk, I’ll show you…

From the abstract: “Many companies have tried speeding up their existing software deployment cycle only to discover that it leads to chaos. As organizations try to deploy more quickly, they are held back by error-prone and unpredictable deployment processes being executed by an Operations staff that becomes increasingly overworked and overtired. So how did we achieve Continuous Delivery: In a big company Where not everyone was even doing the basics of CI yet? In this talk we’ll cover the steps…

From the abstract: “Clojure’s approach to data is significantly different than other popular languages, and somewhat different even than its Lisp heritage. On one hand, Clojure provides a small core set of immutable, persistent data structures. On the other, Clojure uses functional programming to provide a rich set of data manipulation functions. These two pillars of Clojure are fused together through the “sequence” abstraction. Because of sequences, Clojure developers expect that almost any function works with almost any composite data….

From the abstract: “Ever wished the compiler could make asynchronous programming easier? Enter Scala Async. Do asynchronous I/O like ‘normal’ blocking I/O, program with Futures and Promises even more naturally! Scala Async makes it possible to ‘suspend’ at arbitrary points in a block of regular Scala code, and to ‘resume’ from that point later— all without blocking. This not only makes it possible to make concurrent code look sequential, it makes it possible to actually use even the most unfamiliar…

From the abstract: “Stream processing has emerged in recent years as a very fast-growing paradigm in data science infrastructure. This rise can be partly attributed to some factors external to system design, such as business demands for near-realtime data or inability of hardware to manage an ever-growing data set. However, this paradigm also possesses many inherent strengths, and there is good reason for it to be embraced, not simply tolerated. In this talk I’ll discuss some high level advantages of…

From the abstract: “Go programmers come from backgrounds you would likely not expect. The language was originally marketed as a “Systems Language”. But rather than being mostly composed of C and C++ programmers, many Go programmers come from Ruby, Python, Javascript, Erlang, and other popular dynamic languages; Much more than the Go authors had anticipated. The creator of Sinatra (sinatrarb.com) will explain, in detail, why he has spent the last 2 years programming in Go full-time – using it not…