Presentations

• Posted by Scott Seighman  on  Oct 28, 2015
  Java

  Tuning Java for Big Data

  Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.

  Scott Seighman

  on  Oct 28, 2015

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  54:52
• Posted by Paul Payne  on  Oct 25, 2015
  20 Minutes from Ticket to Production. Zero Downtime.

  Paul Payne explains the benefits of containerization of a Go web service, discussing testing, integration, canary deploys and how they achieve 20 minute development cycles with zero downtime.

  Paul Payne

  on  Oct 25, 2015

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  39:38
• Posted by Ken Dale  on  Oct 20, 2015
  Cloud

  Bring The Rain: Cloud Powered Continuous Delivery

  Ken Dale demoes building, testing and deploying a project in the cloud using popular services and technologies.

  Ken Dale

  on  Oct 20, 2015

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  45:27
• Posted by Jerome Petazzoni  on  Oct 18, 2015
  Easier, Better, Faster, Safer Deployment with Docker and Immutable Containers

  Jerome Petazzoni explains in detail the advantages of immutable servers, then how to implement them with containers in general, and Docker in particular.

  Jerome Petazzoni

  on  Oct 18, 2015

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  53:17
• Posted by Georgi Knox  on  Oct 16, 2015
  Development

  Linux Kernel Hacking: A Crash Course

  Georgi Knox conducts a hands on session overviewing the history of Linux, what the kernel is, what system calls are, how to write modules, how to build a kernel, etc.

  Georgi Knox

  on  Oct 16, 2015

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  32:07
• Posted by Noopur Gupta  on  Oct 16, 2015
  Unleashing the Java 8 Tooling in Eclipse

  Noopur Gupta shows how to get started with Java 8 in Eclipse, demonstrating how the new Java 8 constructs blend with the existing functionality in Eclipse.

  Noopur Gupta

  on  Oct 16, 2015

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  45:38
• Posted by Lyndon Maher  on  Oct 14, 2015
  Culture & Methods

  Data Driven Product Development

  Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.

  Lyndon Maher Paul McManus

  on  Oct 14, 2015

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  33:04
• Posted by Yan Cui  on  Oct 13, 2015
  AI, ML & Data Engineering

  Modeling Complex Game Economy with Neo4j

  Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.

  Yan Cui

  on  Oct 13, 2015

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  24:57
• Posted by Viktor Gamov  on  Oct 10, 2015
  AI, ML & Data Engineering

  Ground-up Introduction to In-memory Data

  Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.

  Viktor Gamov

  on  Oct 10, 2015

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  44:53
• Posted by Natalia Chechina  on  Oct 04, 2015
  Architecture & Design

  Scaling Distributed Systems

  Natalia Chechina outlines features of actor and functional programming models, and the reason these models attract so much interest in parallel, concurrent, and scaling world.

  Natalia Chechina

  on  Oct 04, 2015

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  32:29
• Posted by Ryan Trinkle  on  Sep 26, 2015
  Managing Complexity, Functionally

  Ryan Trinkle explores functional techniques for managing complexity, examines what makes them successful in pure functional programming, and proposes ways that they can be applied in any context.

  Ryan Trinkle

  on  Sep 26, 2015

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  44:57
• Posted by Alan Blount  on  Sep 25, 2015
  Spectrum Testing - Unit to Browser before Deploy

  In this talk Alan Blount gives a quick overview of the main categories of testing and how they may apply to various web application projects.

  Alan Blount

  on  Sep 25, 2015

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  51:38