The first part of the Continuous Delivery workshop covers the differences between continuous integration, continuous deployment, and continuous delivery). It also introduces the deployment pipeline_, along with usage, patterns, and anti-patterns. This part concludes with some applied engineering principles.

Releasing software to actual users is often a painful, risky, and time-consuming process. This workshop sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers and operations, delivery teams can get changes released in a matter of hours—sometimes even minutes—no matter what the size of a project or the complexity of its code base. The workshop materials are derived from the best selling book Continuous Delivery and creating in collaboration with the authors and other of my ThoughtWorks colleagues. Continuous Delivery details how to get fast feedback on the production readiness of your application every time there is a change—to code, infrastructure, or configuration.

The first part of the workshop describes the technical differences between related topics such as continuous integration, continuous deployment, and continuous delivery. At the heart of the workshop is a pattern called the deployment pipeline, which involves the creation of a living system that models your organization's value stream for delivering software. I discuss the various stages, how triggering works, patterns and anti-patterns, and how to pragmatically determine what “production ready” means. This session also covers some agile principles espoused by the Continuous Delivery book, including new perspectives on things like developer workstations and configuration management.

Continuous Delivery relies on a variety of interlocking engineering practices to work efficiently; this session covers three related topics. First, I cover the role of testing and the testing quadrant. Second, I specifically cover version control usage and offer alternatives to feature branching like toggle and branch by abstraction. Third, I describe some incremental release strategies, along with their impact on other stages of project lifecycle.

Releasing software to actual users is often a painful, risky, and time-consuming process. This workshop sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers and operations, delivery teams can get changes released in a matter of hours—sometimes even minutes—no matter what the size of a project or the complexity of its code base. The workshop materials are derived from the best selling book Continuous Delivery and creating in collaboration with the authors and other of my ThoughtWorks colleagues. Continuous Delivery details how to get fast feedback on the production readiness of your application every time there is a change—to code, infrastructure, or configuration.

Continuous Delivery relies on a variety of interlocking engineering practices to work efficiently; this session covers three related topics. First, I cover the role of testing and the testing quadrant, including the audience and engineering practices around different types of tests. I also cover some best practices around testing, including testing ratios, code coverage, and other topics. Second, I specifically cover version control usage and offer alternatives to feature branching like toggle and branch by abstraction. Generally, I talk about building synergistic engineering practices that complement rather than conflict one another. In particular, I discuss why feature branching harms three other engineering practices and describe alternatives. Third, I describe some incremental release strategies, along with their impact on other stages of project lifecycle.

Two big stumbling blocks for Continuous Delivery adaptation are interactions with operations and the keepers of data. First in this session, I cover operations, DevOps, and programmatic control of infrastructure. Second, I discuss how to incorporate databases and DBA's into the Continuous Integration and Continuous Delivery process.

Releasing software to actual users is often a painful, risky, and time-consuming process. This workshop sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers and operations, delivery teams can get changes released in a matter of hours—sometimes even minutes—no matter what the size of a project or the complexity of its code base. The workshop materials are derived from the best selling book Continuous Delivery and creating in collaboration with the authors and other of my ThoughtWorks colleagues. Continuous Delivery details how to get fast feedback on the production readiness of your application every time there is a change—to code, infrastructure, or configuration.

Two big stumbling blocks for Continuous Delivery adaptation are interactions with operations and the keepers of data. First in this session, I cover operations, DevOps, and programmatic control of infrastructure using tools like Puppet and Chef. I also discuss the explosion of tool alternatives in this space, and cover some current-day best practices. Second, I discuss how to incorporate databases and DBA's into the Continuous Integration and Continuous Delivery process. This includes database migrations, strategies for enhancing collaboration between application development and data, and database refactoring techniques.

Modularity is coming to the Java platform! Java 9 will introduce the Jigsaw module system. OSGi is here today. But don’t wait to start designing modular software. Contrary to popular belief, you don't need a framework or a new runtime to start building modular software applications. You can start today. Learn how!

In this session, we'll examine what it means to develop modular software on the Java platform. We'll examine the goals and benefits of modular software, and explore the patterns of modular architecture that help us develop modular software systems. With just a few easy steps, we'll see how to transform our software from a huge monolith to an extensible system of collaborating software modules. By examining an existing software system, we'll see first hand how we can increase software modularity with minimal disruption. You'll walk away not just with a much deeper understanding of the benefits of modular software, but also a migration roadmap for refactoring existing applications to increase their modularity. In other words, you'll see how to get ready today for the application platform of tomorrow.

Monolithic applications are difficult to understand, maintain, and extend with new features and functionality. Modularity helps achieve these goals. Unfortunately, few applications have been designed with modularity in mind. In this workshop, we take a deep dive into modularity.

In part 1, we'll start developing a software system using several of the patterns of modular architecture. We'll explore the patterns and then apply them to develop a sample application. Along the way, we'll discuss implementation variations and the consequences of our decision. When finished, we'll have a simple but useful application that you can take home with you and easily extend with new functionality. This session is all pure Java, and you'll be able to apply the techniques you learn immediately. Be sure to bring a laptop.

Monolithic applications are difficult to understand, maintain, and extend with new features and functionality. Modularity helps achieve these goals. Unfortunately, few applications have been designed with modularity in mind. In this workshop, we take a deep dive into modularity.

In part 2, we'll finish the exercise we began in part 1. We'll continue applying several of the patterns of modular architecture. Upon completing the application, we'll have a short retrospective to discuss the consequences of our design decisions. To wrap up, we'll explore how using a framework (OSGi) that supports modularity extends the benefits of our modular architecture over to runtime without impeding our ability to leverage our modules directly atop standard Java. Be sure to bring a laptop.

We make many assumptions when we develop our applications. Many of these assumptions no longer hold true when we start to build applications for the cloud. Cloud platforms also introduce architectural possibilities that do not exist in traditional deployment settings. This session will examine five architectural patterns that we can apply to our applications in order to prepare them for the unique characteristics of cloud environments.

We'll cover the following patterns:

• Microservice
• API Gateway
• Stateless / Shared-Nothing
• Configuration / Service Consumption
• Fault Tolerance

Examples will focus on the application of these patterns using Java/Spring and Cloud Foundry-based PaaS platforms, but should be applicable to any language/framework/PaaS platform combination.

It was over 10 years ago that Spring hit the scene and made a big impact in the enterprise Java development ecosystem. Now that Spring 4.2 is available (and Spring 5 on the way), there's a lot of new features and a lot that you may not know about yet.

Whether you're already working with Spring 4 or are anxious to make a move up, there's plenty of new tricks Spring has in store for you. We'll explore them all in this overview of everything that's new in Spring.

In this session, we'll see how to build real Spring applications using Spring Boot. We'll also look under the covers to see what makes Spring Boot tick.

Spring offers a number of configuration options: XML configuration, Java configuration, and Groovy configuration to name a few. To some degree, component-scanning and autowiring help eliminate some explicit configuration. But in general most Spring applications require some essential “bootstrap” configuration to enable key functionality. What's the right way to build Spring applications when there are so many choices?

What if I told you that configuration was optional?

Spring Boot is an exciting new programming model for Spring that makes it extremely easy to create stand-alone, production-ready Spring applications. Rather than writing lots of code to satisfy the needs of a framework, Spring Boot helps you focus your coding efforts on your application. Spring Boot takes an opinionated approach to configuring Spring, making it possible to create Spring applications with little or, in some cases, no Spring configuration at all!

So you think you've picked up enough JavaScript to be dangerous, but feel like the whole prototypical language thing is still a mystery. In this session, we'll go from basic JavaScript to advanced JavaScript. We'll discuss and code modular JavaScript with CommonJS. We'll look into the details of a prototype language and discuss things like parasitic inheritance. We'll also look at JavaScript libraries that will help you get the most out of JavaScript - not jQuery, but a library like UnderscoreJS and SugarJS.

This is a fast paced session meant to bring you up to speed with the latest and greatest JavaScript techniques and tools. Whether you're building client side JavaScript with HTML5 or Appcelerator Titanium, or server-side JavaScript with node.js, you'll come away with knowledge and patterns for how the pro's use JavaScript for building real apps.

JavaScript has a mixed heritage: OO and Functional. To date, us developers have focused on the OO side of JavaScript and not much mind-share has been given to the other, more powerful side. In this session we'll explore how to use the power of functional Javascript.

JavaScript has elements of two distinct programming languages: Self and Scheme. These two languages are very different - and some of JavaScript's weirdness is due to this mixing of very different language designs. The conceptual models are also very different between Self and Scheme - one is a prototypical object based language, while the other is a functional language. In this session, we'll discuss the elements of how the Scheme functional programming language manifest in JavaScript. We're going to explore how you can write JavaScript in a more elegant and powerful way by applying functional concepts.

We've come a long way down the JavaScript road. Gone are the days of 'just hack it' for the web - architecting even a small project in JavaScript can be a challenge. Thankfully, there are several frameworks to help you; the most popular currently is Backbone.js.

Before you start using a framework in JavaScript, you will want to understand the techniques expert JavaScript programmers use to build them. In this session, we'll dive into design patterns in JavaScript, and do live coding so you can see these patterns applied. Even if you're not using a framework, you can use these design patterns to make your code more maintainabile, elegant, and concise.

Jasmine is a browser centric testing framework. It's the default test framework in Jasmine and is the most popular framework among JavaScript developers. It takes a BDD testing approach.
Mocha is a popular testing framework for JavaScript - for any JavaScript environment, including the Web Browser, NodeJS, and Titanium. It allows for simple asynchronous testing, test coverage, and integration to CI tools. In this session, learn all you need to know about getting started for writing beautiful tests in JavaScript for these environments. We’ll discuss a number of add-ons for Mocha to make testing a breeze. We’ll talk about “should” and “chai” for expectation matching. We’ll discuss “simon” for mocking in your test cases. We’ll also talk about test automation with Grunt.

This session is a code-driven class that covers the Jasmine and Mocha JavaScript testing library. It is an introductory level session.

Relational databases have ruled the world since the dawn of time (or so it appears). They power our enterprises and for many in the corporate world, it may be hard to imagine life without them. Each decade a novel idea would challenge the status quo and make a case to deviate for the tradition. A flock of enthusiastic programmers, like your humble speaker back in the early 90s, would throw their support around it, only to be crushed eventually by the large vendors and enterprise standards. But, the excitement around NoSQL has shown that enterprise data is not the only thing that's persistent.

In this presentation we'll learn how NoSQL deviates from those deep rooted traditional approaches, and how this may be useful. We will also discuss the situations where these types of databases may be more appropriate.

A nice alternative to relational databases, graph databases are being used in a number of applications from social networking to data analysis. Neo4J is a powerful, high performance industrial strength database that is highly scalable. It provides nice integration with Java.

In this presentation we will learn the fundamentals of using this graph database, visualize data, navigate and work with a graph of relationships.

When we run into issues with our programs we often run to the debugger. While that's a powerful tool, there are problems far beyond what a debugger can expose. We often want to profile code, take a look at the memory usage or where a bottle neck may be.

In this presentation we will take a look at a few tools that are pretty useful to help us take a peek at the code and proactively improve the performance of our applications.

Workshop Requirements

Please ensure you've installed the latest version of Java 7 JDK or Java 8 JDK on your systems. We will be using a number of tools that ship with either of these two installations.

Reactive programming is gaining some good attention recently. If you wonder what this is all about come to this presentation for a practical introduction.

Reactive Programming, what is it, what does it solve, how to use it today?

The basics of developing for the Android platform will be explored, from setting up the SDK to using the Android Studio IDE and the generated Gradle build files. No previous experience is required, other than a basic knowledge of Java.

After discussing how Android fits into the marketplace, we'll look at creating applications, how to use activities, and working with layouts.

Building on the the previous talk, we'll add intents, customized layouts for alternative configurations, talk about the activity lifecycle, use logging, and more.

We'll deploy to both emulators and connected devices, and change input styles.

This session will move beyond the basics cover Android persistence mechanisms, accessing RESTful web services, and more. We'll look at shared preferences, basic file I/O, and the Sqlite database. We'll also show how to operate off of the UI thread to access data from remote servers.

The application will access JSON data on a remote server, parse the data, and update the user interface based on the response.

A Technology Radar is a tool that forces you to organize and think about near term future technology decisions, both for you and your company. This talk discusses using the radar for personal breadth development, architectural guidance, and governance.

ThoughtWorks Technical Advisory Board creates a “technology radar” twice a year, a working document that helps the company make decisions about interesting technologies and where we spend our time. ThoughtWorks then started conducting radar-building exercises for our clients, which provides a great medium for technologists company-wide to express their opinions about the technologies they use every day. For companies, creating a radar helps you document your technology decisions in a standard format, evaluate technology decisions in an actionable way, and create cross-silo discussions about suitable technology choices. This session describes the radar visualization and how to conduct a radar building session for yourself. After a brief introduction, the bulk of the workshop consists of attendees building a radar for the group, following the same procedure you'll use when you do this exercise at your company. At the end, we'll have created a unique Radar for this event and practiced doing it for yourself.

This multi-disciplinary session takes a deep dive into
the confluence of topics required to fully understand the intersection
of Continuous Delivery and architecture, including evolutionary
architecture and emergent design, with an emphasis on how
architectural decisions affect the ease in changing and evolving your
code, the role of metrics to understand code, how Domain Driven
Design's Bounded Context reifies in architecture, how to reduce
intra-component/service coupling, and other techniques.

Continuous Delivery is a process for automating the production
readiness of your application every time a change occurs – to code,
infrastructure, or configuration. In the Continuous Delivery world,
rather than hone skills at predicting the future via Big Design Up
Front, Continuous Delivery emphasizes techniques for understanding
and changing code with less cost during the process. Some architectures
and engineering practices yield better designs for this
environment. This multi-disciplinary session takes a deep dive into
the confluence of topics required to fully understand the intersection
of Continuous Delivery and architecture, including evolutionary
architecture and emergent design, with an emphasis on how
architectural decisions affect the ease in changing and evolving your
code, the role of metrics to understand code, how Domain Driven
Design's Bounded Context reifies in architecture, how to reduce
intra-component/service coupling, and other techniques.

In this session we will look to see how we can refactor our learning - what tools, and methodologies can we use to help us learn quicker and better - how we can create a store that gives us quick access to information when we really need it.

We all work in an industry in which not only do the tools that we use change ever few years, but one in which we have to shift the very paradigms these tools are built on! Even the most trivial of projects entails tens of different toolkits, frameworks, and languages coming together, and somehow we need to know how to leverage each one. How does one keep up? Despite all our years in schools, and our in-born nature to learn, we often are never taught how to learn. How can we learn faster, and retain even more?

In this session we will take a look at various tools and techniques available to us and see how we can make our learning effective.

Groovy isn't designed to replace Java – it just makes Java cleaner and easier to develop. This presentation will look at various tasks Java developers need to do and demonstrate ways Groovy can help.

Topics will include building and testing applications, accessing both relational and NoSQL databases, working with web services, and more.

Groovy has a very easy learning curve for Java developers, so many people become Groovy users without realizing all it can do. This presentation will examine features of Groovy that can make your life easier once you're past the initial adoption stage.

Examples will include closure coercion, mixins, simple runtime metaprogramming, operator overloading, drop and take, a tour through some of the overlooked methods in the Groovy JDK, and more.

Ever wish you could use your JavaScript-foo to build a NATIVE mobile app? Wish there was an open-source platform that would let you build awesome cross-platform mobile apps? Come to this session and learn about Titanium, an open-source, JavaScript based platform for creating native mobile apps.

Titanium is an open-source development tool for producing cross-platform mobile applications by Appcelerator. Using Titanium, you develop your mobile application using Javascript coded against the Titanium API's. The Titanium platform invokes their builder to take your Javascript and build a native application for iOS and Android.

This session will walk you through the details of building great apps for the Android and iOS platforms. We'll talk about Titanium development, its ecosystem, and architecture. We'll spend time looking at lots of code - we'll build an app, in fact, while we discuss and explore the framework. We'll also spend some time discussing best practices, what to expect when developing against it, and the limits of this type of development.

In modern applications, Javascript is increasingly prevalent both on the client-side and to some degree on the server-side. As we continue to crank out more Javascript code, we're finding that many of the same hard-lessons we learned in writing decoupled Java code are equally desirable in Javascript code. Without the benefit of dependency injection and AOP, both Java and Javascript code can quickly become an unnavigable and untestable mess.

Where frameworks like Spring have helped us gain control over our Java code, Cujo.js similarly aims to give our Javascript code more structure and testability.

In this session, we'll look at Cujo.js, an “unframework” that provides dependency injection that takes Javascript's unique needs into consideration to create loosely-coupled code. We'll also see how, although Cujo.js isn't strictly a UI framework, elements of Cujo.js can be brought together to elegantly build client-side UIs.

For over 10 years, Spring has been the go-to framework for developing powerful Java server applications. Increasingly, however, modern applications are placing heavier demands on the client side, expecting applications to be available anywhere, anytime, and on any device. In a client-rich world, where does Spring fit it?

In this session, we'll explore Spring's role in modern applications where the client can be on someone's desk or in someone's hands. We'll see how to take advantage of various Spring features and libraries to create a rich and responsive application that can run on a variety of devices.

Have you looked into Scala? Scala is a new object-functional JVM language. It is statically typed and type inferred. It is multi-paradigm and supports both object oriented and functional programming. And it happens to be my favorite programming language.

If you are interested in Scala, how you are planning to learn Scala? You probably are going to pick up a book or two and follow through some examples. And hopefully some point down the line you will learn the language, its syntax and if you get excited enough maybe build large applications using it. But what if I tell you that there is a better path to enlightenment in order to learn Scala?

Scala Koans, a set of test cases that will teach you Scala language. The Scala koans will help the audience learn the language, syntax and the structure of the language through test cases. It will also teach the functional programming and object oriented features of the language. Since learning is guided by failing tests it allows developers to think and play with the language while they are learning.

Workshop Requirements

Namaste,

For those planning to attend the Scala Koans…

Welcome to Scala Koans!

Scala Koans is an interactive session that puts the programming and learning in your hands. Therefore, a laptop is required by all participants. If you do not have a laptop, then perhaps you have a friend with a laptop, is so, well, that would work too. In order to participate in the Scala Koan endeavor, a few things are required:

• A laptop
• A modern JDK installation. JDK 1.6+ will suffice. Remember that it should be a JDK and not a JRE!
• Your JDK should be mapped properly to JAVA_HOME and your PATH variables.
• An installation of your favorite IDE or editor.
• An inquisitive mind.

The process of actually running the koans will be covered during the session. Unfortunately, Internet connectivity is sometimes a dicey affair and at times it can rain on our parade. To avoid having to wait for the install at the conference you can prepare for the koans before the conference! If you don't have the opportunity to do this, we will have either memory sticks or private networks at the conference.

If you want to get started with the set up:

1. Download the koans by visiting https://bitbucket.org/dmarsh/scalakoansexercises and click on the download link on the right hand side of the page. (or you can clone the bitbucket project)
2. Unzip the koans: dmarsh-scalakoansexercises-#####.zip
3. cd into the dmarsh-scalakoansexercises-#### folder
4. If you are in Linux or MacOSX run: ./koans, on Windows ./koans.bat
5. After some initialization, you are now in the koans/sbt shell (you should see a > prompt)
6. In the shell run the following commands:
   a. test:compile
   b. eclipse (if you are planning to use Eclipse)
   c. gen-idea (if you are planning to IntelliJ Idea)
7. Exit the shell by typing exit

Before attending the koans session, you may want to take the opportunity to load some Scala Plugins onto your favorite IDE and Editor. Below is a list of resources that you can use to enhance your environment so that you can enjoy Scala syntax highlighting and other helpful tools like refactoring, debugging and analysis.

Eclipse - The Eclipse has an IDE plugin for Scala called aptly scala-ide. All the information about the plugin can be found at http://scala-ide.org including an easy to follow along video located at http://scala-ide.org/docs/current-user-doc/gettingstarted/index.html

IntelliJ - IntelliJ has a Scala plugin that can be found by going to Settings -> Plugins, clicking on 'Browse Repositories' button and searching for the 'Scala' plugin on the left. Right click on the 'Scala' and choose 'Install'. IntelliJ will prompt you to restart the IDE, do so, and enjoy.

NetBeans - Currently, Github user 'dcaoyuan' hosts a NetBeans Scala plugin at the address: https://github.com/dcaoyuan/nbscala. I have not tried this out since the number of NetBeans users has shrunk in recent years. If you are an avid NetBeans user, and wish to try it, you can let me know the results during the session. There is additional information at: http://wiki.netbeans.org/Scala

Emacs - Github user 'aemoncannon' has created 'ENSIME' (ENhanced Scala Interaction Mode for Emacs) at the address and has a great following. https://github.com/aemoncannon/ensime with some documentation at http://aemoncannon.github.io/ensime.

VIM - For VIM users you can use https://github.com/derekwyatt/vim-scala as a VIM plugin that offers Scala color highlighting

That is it. Hope to see you soon.

Have you looked into Scala? Scala is a new object-functional JVM language. It is statically typed and type inferred. It is multi-paradigm and supports both object oriented and functional programming. And it happens to be my favorite programming language.

If you are interested in Scala, how you are planning to learn Scala? You probably are going to pick up a book or two and follow through some examples. And hopefully some point down the line you will learn the language, its syntax and if you get excited enough maybe build large applications using it. But what if I tell you that there is a better path to enlightenment in order to learn Scala?

Scala Koans, a set of test cases that will teach you Scala language. The Scala koans will help the audience learn the language, syntax and the structure of the language through test cases. It will also teach the functional programming and object oriented features of the language. Since learning is guided by failing tests it allows developers to think and play with the language while they are learning.

Workshop Requirements

Namaste,

For those planning to attend the Scala Koans…

Welcome to Scala Koans!

Scala Koans is an interactive session that puts the programming and learning in your hands. Therefore, a laptop is required by all participants. If you do not have a laptop, then perhaps you have a friend with a laptop, is so, well, that would work too. In order to participate in the Scala Koan endeavor, a few things are required:

• A laptop
• A modern JDK installation. JDK 1.6+ will suffice. Remember that it should be a JDK and not a JRE!
• Your JDK should be mapped properly to JAVA_HOME and your PATH variables.
• An installation of your favorite IDE or editor.
• An inquisitive mind.

The process of actually running the koans will be covered during the session. Unfortunately, Internet connectivity is sometimes a dicey affair and at times it can rain on our parade. To avoid having to wait for the install at the conference you can prepare for the koans before the conference! If you don't have the opportunity to do this, we will have either memory sticks or private networks at the conference.

If you want to get started with the set up:

1. Download the koans by visiting https://bitbucket.org/dmarsh/scalakoansexercises and click on the download link on the right hand side of the page. (or you can clone the bitbucket project)
2. Unzip the koans: dmarsh-scalakoansexercises-#####.zip
3. cd into the dmarsh-scalakoansexercises-#### folder
4. If you are in Linux or MacOSX run: ./koans, on Windows ./koans.bat
5. After some initialization, you are now in the koans/sbt shell (you should see a > prompt)
6. In the shell run the following commands:
   a. test:compile
   b. eclipse (if you are planning to use Eclipse)
   c. gen-idea (if you are planning to IntelliJ Idea)
7. Exit the shell by typing exit

Before attending the koans session, you may want to take the opportunity to load some Scala Plugins onto your favorite IDE and Editor. Below is a list of resources that you can use to enhance your environment so that you can enjoy Scala syntax highlighting and other helpful tools like refactoring, debugging and analysis.

Eclipse - The Eclipse has an IDE plugin for Scala called aptly scala-ide. All the information about the plugin can be found at http://scala-ide.org including an easy to follow along video located at http://scala-ide.org/docs/current-user-doc/gettingstarted/index.html

IntelliJ - IntelliJ has a Scala plugin that can be found by going to Settings -> Plugins, clicking on 'Browse Repositories' button and searching for the 'Scala' plugin on the left. Right click on the 'Scala' and choose 'Install'. IntelliJ will prompt you to restart the IDE, do so, and enjoy.

NetBeans - Currently, Github user 'dcaoyuan' hosts a NetBeans Scala plugin at the address: https://github.com/dcaoyuan/nbscala. I have not tried this out since the number of NetBeans users has shrunk in recent years. If you are an avid NetBeans user, and wish to try it, you can let me know the results during the session. There is additional information at: http://wiki.netbeans.org/Scala

Emacs - Github user 'aemoncannon' has created 'ENSIME' (ENhanced Scala Interaction Mode for Emacs) at the address and has a great following. https://github.com/aemoncannon/ensime with some documentation at http://aemoncannon.github.io/ensime.

VIM - For VIM users you can use https://github.com/derekwyatt/vim-scala as a VIM plugin that offers Scala color highlighting

That is it. Hope to see you soon.

Many software developers point their career towards ascending to the gilded rank of Architect…but what does it mean to actually be one? While many of us labor under false pretense of abject technical decision making, the reality is often very different. You'll code less, spending more time on activities that lack an objective green/red bar. But you'll also an opportunity to impact far more than one project.

In this talk, I'll speak to my own journey. We'll touch on influencing coworkers, the importance of communication and the importance of cup of coffee.

Many software developers point their career towards ascending to the gilded rank of Architect…but what does it mean to actually be one? While many of us labor under false pretense of abject technical decision making, the reality is often very different. You'll code less, spending more time on activities that lack an objective green/red bar. But you'll also an opportunity to impact far more than one project.

In this talk, I'll speak to my own journey. We'll touch on influencing coworkers, the importance of communication and the importance of cup of coffee.

Back in the day, web developers had to rely on their wits and a plethora of alert statements - to say our toolkit was spartan would be an understatement. But with the increased importance of web front ends and the rise of JavaScript MVC frameworks, a modern web developer toolkit is finally emerging.

We've evolved from text editors to full fledged IDE's with code completion and refactoring tools but our toolchain doesn't end there. With multiple testing libraries, mocking frameworks, test drivers and even code coverage tools, today's web developer gets to walk downhill on a sunny day.

In this session, we will take a look at Angular - a new MVC framework by Google. We will discuss some of the terminology that Angular offers, and see how we can use that to develop highly interactive, dynamic web applications. See “Detail” for a list of topics I cover and the Github repo URL

This is an intro-level talk we will take a look at Angular and developing rich web applications. Angular embraces HTML and CSS, allowing you to extend HTML towards your application, and uses plain JavaScript which makes your code easy to reuse, and test.

Note: This is an intro level talk. It is targeted towards developers who are curious about Angular and want to learn about the fundamental features and concepts in Angular.

Topics Covered -

• Bootstrapping an AngularJS application using ng-app
• ng-init and the evaluation {{ }} directive
• A brief look at $rootScope
• ng-model
• Controllers, Dependency Injection, and the View-Model ($scope)
• Looping using ng-repeat
• Forms using ng-form, form validation and submission in AngularJS
• Angular provided filters
• Making AJAX requests using $http

GitHub URL - https://github.com/looselytyped/angudone-backend/tree/solutions

Jamie Zawinski once said “Some people, when confronted with a problem, think “I know, I'll use regular expressions.” Now they have two problems.“. Many consider regular expressions to be indecipherable, but the truth is that every programmer should consider regular expressions an integral part of their toolkit. From the command line to your favorite text editor, from parsing user input to scraping HTML pages - once you know regular expressions you will find a use for them in almost every programming context.

In this session we will attempt to unriddle the mystery that regular expressions pose. We will start at the basics and work our way towards more complex expressions.

You understand the Web. Why do you do REST so wrong?

Doing REST “right” isn't a matter of conformance or purity. It isn't about pleasing hard-to-please Restafarian personalities. It's about understanding that WYBIWYG (What you Build is What You Get). Decisions have consequences. You are free to design and implement whatever you like, but you need to understand the consequences of your choices.

REST, as defined by Roy Fielding's thesis, is a collection of architectural constraints designed to yield certain properties in deployed systems. When you take shortcuts, you simply will not receive all the benefits of loose-coupling, evolvable, flexible, scalable systems. URLs are not enough. HTTP is not enough. To fully embrace the world of REST, you must understand Hypermedia. The good news is that you already do, you've apparently just forgotten.

Here's the thing though. REST is not an endpoint, it is just a beginning. Come to this talk to hear how the story starts. We will take a deep dive into why the Web works, the implications for building Hypermedia-driven REST APIs and start to look at what this means in practice.

The cost of integrating information isn't cheap. Well, at least it isn't if you do it wrong. Chances are, you're doing it wrong.

The single most difficult aspect of data integration is the effort to achieve consensus. It isn't just that we are disagreeable people. It's also that it is a fantasy that there is a “common model” or a “global truth”. Different groups and individuals see the world differently and have different needs from information systems. Language, and therefore what we call things, isn't simply reflective of reality. It plays a constructive and interpretive role.

The problem is that our technologies force us to make choices about world views and pretend that things aren't changing constantly. This yields fragile systems and high impedance to change that cascades through our organizations. This translates to expensive, rigid and difficult to extend failure to give the business what they want.

Our friend Tim Berners-Lee and his Happy W3C Merrymakers have given us a set of technologies to help us solve these problems though. We forget that the Web he designed was not the public Web, but one to solve integration needs for complex organizations like CERN. The HTML bit that we have gotten so excited about is but a small part of the vision. We will introduce RDF and SPARQL as enabling technologies. They do not necessarily replace what you already have, but they do make it possible to share information with people you've never talked to: Collaboration without Coordination.

Webs of documents are fabulous enough. Webs of data will blow your mind.

A table is a fixed structure. A tree is as well. A graph can go on forever and be extended at any time by anyone.

The Web is an unbounded graph. It is our definition of scale. What happens when we start to use it as the basis of sharing information, not just documents. This does not necessarily mean the public Web (although it is certainly appropriate for that as well). It simply means thinking of information as a web of linked entities through discoverable relationships.

Linked data is a way of doing this, but it is also an established project connecting billions of entities from disparate, unrelated sources. How does that even work? What can you do with such a thing? And what does that mean for your organization?

By building on the ideas introduced in the Data Integration talk, we will explore how webs of data built on standards can change everything.

“Computers are useless. They can only give you answers.” –Picasso

If everything is explicitly described in uniform, robust and comprehensive data models, it is easy to imagine how to ask questions of the data. The social, technical and financial costs of getting the information into that state, however, will keep that from ever being a reality. So, how can we integrate and reason over choppy and sloppy data from multiple sources in a variety of formats? We will see how the RDFS and Web Ontology Language (OWL) W3C standards help us connect and reason over content that leaves things unsaid without writing a bunch of custom code.

This is not artificial intelligence, but it is influenced by work done in that field.

“Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.” Docker creates containers that provide running process with:

• an equal slice of CPU
• a maximum memory quota
• its own process ID (PID) namespace
• its own network interface
• its own private root filesystem

It does this by leveraging low-level Linux kernel primitives like cgroups and namepaces. The end result is a portable application container that can run anywhere Docker can run, including on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above.

Containers are an excellent way to package your application such that it can run consistently everywhere you want to run it, a fantastic step toward Continuous Delivery. In this session we'll look at how to use Docker to package, deploy, and run Java applications and other services. We'll also compare Docker to another container solution, Warden, which is a key component of the Cloud Foundry PaaS.

There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says “Morning, boys. How's the water?” And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes “What the hell is water?“

David Foster Wallace, from This is Water

A fish is swimming along, having some breakfast, when suddenly he's snatched out of his world by his food, abruptly ejected into a bright world where it's hard to breathe, landing on the bottom of a boat, where strange alien creatures make strange sounds. Overhead, he sees an airplane flying at 500 mph. Suddenly, one of the creatures picks him up, removes the hook, and, just as suddenly, he's back home. Yet, when he regales his friends with this tale, no one can believe such a strange world could exist.

This keynote describes the water you swim in but cannot see anymore, like relational databases and application servers. And, it jerks you out of this water (briefly) to describe a strange, fantastical world with things like immutable database servers and phoenix machines. You may have trouble getting your friends who didn't attend to understand.

Despite our wishing it were so, software architecture is not static throughout a project. Yet, we make many of our software architecture decisions early in the software development lifecycle. In today’s volatile technology and business climate, big architecture up front is not sustainable. In this session, we will explore several techniques that help us create more flexible and adaptable software systems. But first, we’ll expose the true essence of what’s meant when we say “architectural agility.”

What’s the goal of architecture? To serve as a blueprint of the system? Possess the flexibility to evolve as new requirements emerge? To satisfy the architectural qualities, including performance, security, availability, reliability, and scalability? Yes. Yes. Yes. But how do we create software architectures that achieves all of these goals? And how do we ensure no disconnect occurs between developers responsible for implementation and architects responsible for the vision? Especially in a volatile technology climate where organizations seek to move their applications to the cloud, expose application capabilities to new endpoints, and deliver new capabilities quickly? In this session, we’ll explore techniques to increase architectural agility and provide some actionable advice that will help you get started immediately.

OSGi is the dynamic module system for the Java platform. Today, OSGi is a major part of most application platforms, tools, and is supported by many major frameworks. In this session, we'll explore the fundamental underpinnings of OSGi, explore the OSGi ecosystem, and clearly articulate the benefits of OSGi.

After a gentle introduction to OSGi, we'll explore how OSGi allows us to overcome classpath hell and design very adaptable and flexible software systems. Through several coding examples, we'll explore numerous OSGi techniques, including versioning, hot deployment, isolation, lifecycle, and micro-services.

The Spock framework brings simple, elegant testing to Java and Groovy projects. It integrates cleanly with JUnit, so Spock tests can be integrated as part of an existing test suite. Spock also includes an embedded mocking framework that can be used right away.

In this presentation, we'll look at several examples of Spock tests and review most of its capabilities, including mock objects and integration with Spring.

Robert Martin assembled the SOLID family of principles to provide a useful guide to help us create object-oriented software designs that were resilient in the face of change. In recent years, the need to write highly-concurrent software in order to leverage increasingly ubiquitous multicore architectures, as well as general interest in more effectively controlling complexity in large software designs, has driven a renewed interest in the functional programming paradigm. Given the apparent similarity in their goals, “What is the intersection of SOLID with functional programming?” is a natural question to ask.

In this talk, we'll explore this intersection. We'll begin with a tour of the evolutionary patterns associated with enterprise software and programming paradigms, as well as take a look at the ongoing quest for best practices, the goal being to elucidate the motivation for examining this intersection of SOLID and functional programming. We'll then walk through each of the SOLID principles, examining them in their original object-oriented context, and looking at example problems and solutions using the Java language. Then for each principle, we'll examine its possible intersection with the functional programming paradigm, and explore the same problems and solutions using the Clojure language. We'll close by examining the transcendent qualities of the SOLID principles and how they can make any design simpler, regardless of the programming paradigm employed.

Gradle has fast become one of the de-facto build tool in the Java ecosystem. Gradle offers a powerful DSL to configure your builds. Whether you have a simple build, or a complex build with many moving parts, Gradle's DSL and extensible API can help you make your builds easier, and possible.

In this sessio we will start from the ground up. We will write our first Gradle script and examine Gradle's configuration vs. execution phases. We will see how Gradle uses plugins to add on functionality for free to your build and end with a look at the Gradle Plugin API to see how easy it is to write your own plugins for better reuse.

For much of the last two years I've delivered a two-part series at NFJS shows entitled “Effective Java Reloaded.” For all pracical purposes, it is an ala carte style rehash of the book Effective Java, written by Josh Bloch. One of my favorite parts of the discussion is of Item #15, which tells us to “Minimize Mutability.” If we turn this inside out, we're actually saying that we want to MAXIMIZE IMMUTABILITY. When we do this, we reap many benefits, such as code that is easier to reason about and that is inherently thread-safe. This can carry us a long way in the direction of program correctness and decreased complexity. However, when we start to program with immutability, several major questions arise.

First, the necessity of using a separate object for each distinct value, never reusing, or “mutating” an object, can quickly cause performance concerns. These concerns are amplified when we're talking about large collections such as lists and maps. These problems are largely solved by what we call “persistent data structures.” Persistent data structures are collections from which we create new values, not by copying the entire data structure and apply changes, but by creating a new structure which contains our changes but points at the previous structure for those elements which have not changed. This allows us to work with data structures in a very performant way with respect to time and resource consumption. We'll examine persistent data structures, their associated algorithms, and implementations on the JVM such as those found in the TotallyLazy library.

Second, because all of an immutable object's state must be provided at the time of construction, the construction of large objects can become very tedious and error prone. We'll examine how the Builder pattern can be applied to ease the construction of large objects, and we'll examine Builder implementations in Java and Groovy.

Third, we run into problems when we start to use frameworks that expect us to program in a mutable style. A prime example is Hibernate, which expects our persistent classes to follow the well-worn JavaBean convention, including a no argument constructor and getters and setters for each property. Such a class can never be mutable! So how do we program with frameworks such as Hibernate and yet still minimize mutability? The key is found in not letting frameworks dictate the way that you design your code. Just because the framework require something, don't let it force you to make the wrong decision. Use the framework as a tool to write your code, don't let your code be a tool of the framework. We'll examine strategies for doing exactly that.

You should come away from this talk better equipped to program in a way that minimizes mutability and maximizes immutability.

BOSH was originally developed to be the toolchain that installs and manages the Cloud Foundry runtime, which is a large distributed system consisting of multiple components running on multiple virtual machines. In order to deploy and manage such a system, you need elements of:

• configuration management tools, such as Puppet and Chef
• orchestration tools, such as Mcollective and RunDeck
• knowledge of multiple IaaS layers (compute, storage, networking) to support portability
• health management
• monitoring and reporting
• etc.

Fortunately, BOSH was written in such a way that it can be used to deploy not just Cloud Foundry, but any distributed system. Teams in multiple organizations are using it today to deploy:

• large-scale Jenkins deployments
• Hadoop clusters
• Cassandra and other NoSQL store clusters
• RabbitMQ and other message broker clusters

In this session we'll learn how to develop a BOSH release using the bosh-lite tool. We'll then learn how to create a deployment manifest, which maps our release to a specific infrastructure environment. Finally, we'll deploy our release to Amazon Web Services.

Almost every example of an agile project involves a single team and while many successful projects are delivered that way, most enterprise software requires the interaction of several teams. But how do we scale agile beyond a single team? What practices translate and which ones don't? In this talk we'll discuss some of the issues you'll encounter as you move agile beyond a single group and how you can keep multiple stakeholders happy. While it isn't as simple as having a “scrum of scrums” it isn't as hard as replacing every line of COBOL.

Almost every example of an agile project involves a single team and while many successful projects are delivered that way, most enterprise software requires the interaction of several teams. But how do we scale agile beyond a single team? What practices translate and which ones don't? In this talk we'll discuss some of the issues you'll encounter as you move agile beyond a single group and how you can keep multiple stakeholders happy. While it isn't as simple as having a “scrum of scrums” it isn't as hard as replacing every line of COBOL.

Architecting and developing user interfaces used to be relatively easy, pick a server side framework, define a standard monitor resolution and spend your days dealing with browser quirks. But today, the landscape presents us with a plethora of screen sizes and resolutions covering everything from a phone to a tablet to a TV. How does a team embrace this brave new world knowing that the future will introduce even more volatility to the client space?

This talk will walk you through this brave new world. We'll discuss the deluge of devices the typical application must deal with today as well as looking at the plethora of client side rendering technologies. This isn't strictly a front end problem though, we need to reconsider how we've built our server side solutions as well; modern applications rely on RESTful web services delivering data to a diverse set of clients. The development landscape has changed, this talk will prepare you to face these challenges.

Find yourself overwhelmed with hundreds of to-dos? Is your hard-drive littered with dozens of killer ideas that you started with enthusiasm and then just fizzled away? Do you feel like you are moving as fast as can but only getting to the wrong place quicker? Well perhaps this session will help.

There are various techniques and strategies available to us today that aim to help with exactly this conundrum - from Getting Things Done ™ to Personal Kanban. Unfortunately it is often easy to be extremely productive using these systems, but not very effective. After all, it's not about getting things done, but getting the RIGHT things done. In this talk we will discuss not only how to get things done, but also attempt to figure out what it is you actually need to be doing.

In this session, I will attempt to show you how you can leverage various strategies to be more effective, knock to-dos out and have fun while doing it. If time permits we will close with an overview of the tools that are available to you, and how you can use these to become a to-do list ninja :)

This is a revised and updated version of the previous talk, with current thinking from practice and the literature. The talk presents why conflicts with your manager are inevitable based on differences in priorities and perspectives, and how to plan for them. The goal is to show you how to build the loyalty relationship that allows you to get what you need when you need it.

Topics covered will include diagnosing communication styles, lessons from game theory, working within the organizational hierarchy, and lessons on how to build a relationship with your manager that still allows you the freedom to express yourself and what you really want.

Statistics is hot lately, due in part to the easy availability of large data sets and the successes of people like Nate Silver. These aren't your father's statistics, however. A quiet revolution has swept through the field, shifting it from traditional frequentist methods toward a more Bayesian approach. This talk will discuss Bayes' Theorem and show you how to do simple, back-of-the-envelope calculations to apply it to a wide variety of problems.

In addition, we'll also talk about common errors non-experts make when dealing with statistical conclusions, ranging from small sample size issues to the use of arbitrary endpoints to the problem of overfitting and more.

JavaScript will celebrate it's 19th birthday in 2014. For a language that has been around for such a while it has seen very few, if any changes to the language itself. Well all that is about to change with ECMAScript.next (or ECMAScript 6). ECMAScript 6 modernizes JavaScript syntax, while bringing in features such as modules for better namespacing, class as a first class construct, and a variety of additional operators thus ensuring that JavaScript is ready for the next era of large scale modern web applications.

In this session we will take a look at some of the features that ECMAScript 6 brings to the table and see what kind of browser support is available for it.

Now that Java is supporting lambda expressions, it's time to hone our skills to make use of them. Lambda expressions can help create concise code, however, it takes more than learning the syntax to put them to good use.

In this presentation we will learn the idiomatic use of lambda expressions, explore the ways in which we can use them to solve common tasks, and look into libraries and APIs that make use of them in Java.

Java 8 brings support for lambda expressions and functional style of programming. With that, the design concepts and the patterns we're used to in Java enjoy a makeover.

Come to this presentation to learn about how the familiar patterns transform and shine in Java 8.

Even with the recent explosion in alternative languages for the JVM, the vast majority of us are still writing code in “Java the language” in order to put bread on the table. Proper craftsmanship demands that we write the best Java code that we can possibly write. Fortunately we have a guide in Joshua Bloch's Effective Java.

In his foreward to the first edition, Guy Steele writes about the importance of learning three aspects of any language: grammar, vocabulary, and idioms. Unfortunately many programmers stop learning after mastering the first two. Effective Java is your guide to understanding idiomatic Java programming.

Effective Java is organized into 78 standalone “items,” all of which will be impossible to cover in one session. Instead I've chosen a subset of the most important techniques and practices that are commonly missed by today's Java programmers. You'll pick from a menu and decide where we'll head. Regardless of the path we take, you'll leave this session thoroughly equipped to write better Java code tomorrow!