Light me up

- CppCon 2014: Mike Acton "Data-Oriented Design and C++": youtube.com/watch?v=rX0ItVEVjHc - Handmade Seattle: handmade-seattle.com/ - Richard Fabian, 'Data-Oriented Design': dataorienteddesign.com/dodbook/ - IT Hare, 'Infographics: Operation Costs in CPU Clock Cycles': ithare.com/infographics-operation-costs-in-cpu-clock-cycles/ - The Brain Dump, 'Handles are the better pointers': floooh.github.io/2018/06/17/handles-vs-pointers.html

Haskell eXchange 2016 - Keynote by Don Stewart from Skills Matter on Vimeo.

This presentation by Vaughn Vernon was recorded on December 12, 2011, at the Denver-Boulder Domain-Driven Design Meetup Group. The material is based on the essay found on the DDD Community site: dddcommunity.org/library/vernon_2011

Location: Level 2, Main Stage

Day of Datomic 2 of 6

ML development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models. To address these problems, many companies are building custom "ML platforms" that automate this lifecycle, but even these platforms are limited to a few supported algorithms and to each company's internal infrastructure. In this talk, I present MLflow, a new open source project from Databricks that aims to design an open ML platform where organizations can use any ML library and development tool of their choice to reliably build and share ML applications. MLflow introduces simple abstractions to package reproducible projects, track results, and encapsulate models that can be used with many existing tools, accelerating the ML lifecycle for organizations of any size.

Deliver Spring Boot Applications to Kubernetes with Ease from Atomist on Vimeo.

Sample code: github.com/rktoomey/specs2-examples

Slides: lihaoyi.com/post/Anatomy-of-a-full-stack-Scala-Scalajs.pdf

The SOLID principles are often presented as being core to good code design practice. Each of S, O, L, I and D do not, however, necessarily mean what programmers expect they mean or are taught. By understanding this range of beliefs we can learn more about practices for objects, components and interfaces than just S, O, L, I and D. This talk reviews the SOLID principles and reveals contradictions and different interpretations. It is through paradoxes and surprises we often gain insights. We will leave SOLID somewhat more fluid, but having learnt from them more than expected.

At any company’s start, they will face the decision of which programming language will define their technology stack. For Tapad, this was in 2010, when languages like Scala were in their very early stages and many engineers weren’t looking beyond Java. It was at that time that CTO and co-founder, Dag Liodden, made the decision to use Scala, which arguably provided the technical foundation needed to scale Tapad to what it is today -- a 200+ person company, managing 20+ PB of data, that was recently acquired for $360 million. While adoption has gained significant momentum for Scala since Tapad first embraced the language, it is still in the fairly early stages of maturity, which poses challenges for experienced and novice Scala developer teams alike. In this session, Dag will address the source of some of these challenges, how they can be resolved, and how Scala can help deliver high quality code at high velocity. Ultimately, all leading up to how engineers and entrepreneurs alike can overcome these barriers to build a team, or even a whole company, on Scala.

Mentioning about the programing language Kotlin and its usage.

The talk will show you how to set up basic build scripts with FAKE and gives you an overview about dependency management with Paket. This talk is for every .NET developer that wants to get rid of the problems that come with XML build scripts and NuGet dependency chaos.

We were there with camera and our Per Ökvist facilitated discussion after the presentation.

In this talk, we'll discuss a different approach to breaking down a big application into smaller chunks: stream processing. Many applications can be designed as a cascade of jobs that consume and produce real-time data streams. When you build applications this way, streams are not just an implementation detail — they become the interface from one team to another.

In this session, we'll dig into some top tips for running your ASP.NET Core applications on Azure. We'll cover new Azure integration features, setting up Kudu, deployment optimization, logging, App Insights, Docker support, and more!

The JavaScript language and ecosystem have seen dramatic changes in the last 2 years. In this sessions we'll look at patterns for organizing code using modules, talk about some of the pros and cons of new language features, and look at the current state of build tools and build patterns.