You've heard a bit about Git, Gradle, Jenkins, and Sonar, but are you putting them to use? Are you maximizing what they can offer in terms of standardized project models, faster incremental compiles, automated commit-triggered builds, and rapid source code analysis? In this intense presentation, live demonstrations will be given for all of the latest versions of the aforementioned tools and what they have to offer a highly proficient Java developer.

Don't struggle to get the build out, functioning, and analyzed. Develop, build, analyze and deploy smartly and efficiently with a Build Lifecycle Craftsmanship approach and tooling.

You're serious about improving the quality of your code base, but with 10,000 lines of code, where do you start and how do you ensure the greatest ROI for the re-work your team members will perform?

Sonar is an open source tool that brings together the best of breed static and dynamic analysis of Java projects. The result is a unified view of problematic areas of your code on a time-line basis, allowing the team to attack the problems with the best ROI, and maintain a more watchful eye for positive and risky trends in the codebase in the future.

This workshop will get you up and running with Sonar on your laptop and analyzing the source code of a project in under 90 minutes.

Workshop Requirements

Jenkins

Please bring a Windows, Mac or Linux laptop
Please have administrative privileges on the laptop for installing software
Please have a 1.6 JDK loaded. Confirm this with java -version and javac -version reporting back a 1.6.x series version number in both cases.
Please have the JAVA_HOME environment variable set to point to the JDK (not a JRE)
Optional, but great: Please install Ant 1.8.4 or higher
Optional, but helpful: Please install Maven 3.0.4 or higher
Optional, but helpful: Please install Gradle 1.0-rc-3 or higher
Optional, but helpful: Please install Git 1.7.10 or higher and ensure git is on your PATH (in the environment variable list of paths)

Gradle. Another build tool? Come on! But before you say that, take a look at the one you are already using.

Whether your current tool is Make, Rake, Ant, or Maven, Gradle has a lot to offer. It leverages a strong object model like Maven, but a mutable, not predetermined one. Gradle relies on a directed acyclic graph (DAG) lifecycle like Maven, but one that can be customized. Gradle offers imperative build scripting when you need it (like Ant), but declarative build approaches by default (like Maven). In short, Gradle believes that conventions are great – as long as they are headed in the same direction you need to go. When you need to customize something in your build, your build tool should facilitate that with a smile, not a slap in the face. And customizations should be in a low-ceremony language like Groovy. Is all this too much to ask?

Gradle has received the attention of major open source efforts and has chalked up significant conversions by the Spring Integration, Hibernate, and Grails projects. What do these technology leaders see in this bold new build tool? They see not only a better way to build Java applications, but an extensive ecosystem of connecting to existing Ant and Maven build files while expanding the horizon of test, CI, and deployment automation in an easy manner. Join us for 90 minutes and let us take you on this same walk of discovery of the most innovative build tool you've ever seen.

Workshop Requirements

Please bring a Windows, Mac or Linux laptop
Please have administrative privileges on the laptop for installing software
Please have a 1.6 JDK loaded. Confirm this with java -version and javac -version reporting back a 1.6.x series version number in both cases.
Please have the JAVA_HOME environment variable set to point to the JDK (not a JRE)

After almost a decade and several significant releases, Spring has gone a long way from challenging the then-current Java standards to becoming the de facto enterprise standard itself. Although the Spring programming model continues to evolve, it still maintains backward compatibility with many of its earlier features and paradigms. Consequently, there's often more than one way to do anything in Spring. How do you know which way is the right way?

In this session, we'll explore several ways that Spring has changed over the years and look at the best approaches when working with the latest versions of Spring.

Developing a rich user interface for web applications is both exciting and challenging. HTML 5 has closed the gaps and once again brought new vibe into programming the web tier. Come to this session to learn how you can make use of HTML 5 to create stellar applications.

Workshop Requirements

Attendees are expected to pair up and work on the labs. Software requirements:

Latest version of your favorite browser (suggest having at least two different browsers, for example from Firefox, Chrome, Safari,…) so you can see the difference in support and program to it.

Learning the syntax of a new language is easy, but learning to think under a different paradigm is hard.

Learning the syntax of a new language is easy, but learning
to think under a different paradigm is hard. This session
helps you transition from a Java writing imperative programmer to a
functional programmer, using Java, Clojure and Scala for
examples. This session takes common
topics from imperative languages and looks at alternative ways of
solving those problems in functional languages. As a Java developer, you know how to achieve code-reuse
via mechanisms like inheritance and polymorphism. Code reuse is
possible in functional languages as well, using high-order
functions, composition, and multi-methods. I show examples from my book Functional Thinking of shifting your perspective on problems, ceding messy details to the language, working smarter, not harder, and how to deal with multiparadigm languages.

Why is Clojure the best new language on the JVM? Come to this session and see why this functional, dynamic Lisp is the best thing on the JVM since Java.

Clojure is the most interesting new language on the horizon, but many developers suffer from the Blub Paradox when they see the Lisp syntax. This talk introduces Clojure to developers who haven't been exposed to it yet, focusing on the things that truly set it apart from other languages. I discuss all of Clojure's syntax (in about 10 minutes), then delve into fascinating features like destructuring, building macros like thread-first and thread-last, the Atomic Succession Model of Concurrency, Clojure's use of Protocols to organize code and solve The Expression Problem, and many more cool features. Come see why some of our most sophisticated projects are using Clojure.

JavaScript is one of those very powerful languages that is often misunderstood and underutilized. It's quite popular, yet there's so much more we can do with it.

In this presentation we'll deep dive into the capabilities and strengths of this prominent language of the web.

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.

Spock is an awesome tool that exploits Groovy AST transformation to provide elegant, fluent syntax for writing automated tests.

In this presentation we will learn how to use Spock to test both Java and Groovy code. We will taken an example oriented approach to learning the strengths of this powerful testing tool.

Much is said today by the software methodology “talking heads” about the need for organizations to “go lean.” The question is, what does it mean to go lean? Is this the job of IT management? Or is it the job of the practicing software developer? And furthermore, does this simply mean the adoption of of another set of processes and procedures? Or is it something entirely different?

Ultimately, going lean simply means removing all of the impediments that prevent our organizations from achieving more of “the goal.” While that goal may differ from context to context, for the vast majority of us that means “making more money,” by improving our efficiency at moving from, as the Poppendieck's have so aptly said, from “concept to cash.”

While a great many of us do not have the role power necessary to spur top-down organizational change, there are many practical things each of us can do to bring the power of “going lean” to our teams. As we apply these principles and practices to our day-to-day work, we can build the credibility necessary to become change agents.

In their books, the Poppendieck's have helpfully summarized lean software development into seven principles:

Eliminating Waste
Building Quality In
Creating Knowledge
Deferring Commitment
Delivering Fast
Respecting People
Optimizing the Whole

In this talk we'll walk through each of these principles and examine how we as individual contributors and software teams can make practical, actionable changes within our own spheres of influence that will ultimately help us to deliver more value to our organizations.

The word just came down from the VP - you need a mobile app and you need it yesterday. Wait, you've never built a mobile app…it's pretty much the same thing as you've built before just smaller right? Wrong. The mobile experience is different and far less forgiving. How do you design an application for touch? How does that differ from a mouse? Should you build a mobile app or a mobile web site? This talk will get you started on designing for a new, and exciting, platform. Whether that means iPhone, Android, Windows Phone or something else, you need a plan, this talk will help.

Mobile is the next big thing and your company needs to there. But what does there actually entail? Should you build a native app? On which platforms? Do you have the skills for that? What about the web? Can you deliver an awesome experience using nothing but a mobile web browser? This talk will help you navigate these treacherous waters. We'll discuss the pros and cons of the various approaches and give you a framework for choosing.

Emergent design is a big topic in the agile architecture and design community. This session covers the theory behind emergent design and shows examples of how you can implement this important concept.

This session describes the current thinking about emergent design, discovering design in code. The hazard of Big Design Up Front in software is that you don't yet know what you don't know, and design decisions made too early are just speculations without facts. Emergent design techniques allow you to wait until the last responsible moment to make design decisions. This talk covers four areas: emergent design enablers, battling things that make emergent design hard, finding idiomatic patterns, and how to leverage the patterns you find. It includes both proactive (test-driven development) and reactive (refactoring, metrics, visualizations, tests) approaches to discovering design, and discusses the use of custom attributes, DSLs, and other techniques for utilizing them. The goal of this talk is to provide nomenclature, strategies, and techniques for allowing design to emerge from projects as they proceed, keeping you code in sync with the problem domain. This talk shows lots of examples of how to make this concept work in your environment.

Technology changes, it's a fact of life. And while many developers are attracted to the challenge of change, many organizations do a particularly poor job of adapting. We've all worked on projects with, ahem, less than new technologies even though newer approaches would better serve the business. But how do we convince those holding the purse strings to pony up the cash when things are “working” today? At a personal, how do we keep up with the change in our industry?

This talk will explore ways to stay sharp as a software professional. We'll talk about how a technology radar can help you stay marketable (and enjoying your career) and how we can use the same technique to help our companies keep abreast of important changes in the technology landscape. Of course it isn't enough to just be aware, we have to drive change - but how? This talk will consider ways we can influence others and lead change in our organizations.

Successful projects require any number of practices but if you don't know who you're building it for or what you're supposed to build, failure is a distinct possibility. How do we capture the who and what? Personas and story maps are two effective techniques that you can leverage. After discussing the basics, we'll break into small groups and you'll have a chance to actually try building a set of personas as well as a story map.

Personas are a time tested technique to help teams understand their users and facilitate building the right interface. While personas are often backed by extensive ethnographic research, they don't require months and months of effort.

Of course just knowing who we're building for is only part of the picture, we have to know what our users are trying to do. Wether you favor use cases, user stories or more traditional requirements documents, at the end of the day our customers are using our application to further some other goal.

There's a ton of options for deploying to the cloud right now. Heroku and Engineyard are among the well known Platform as a Service (PaaS) providers. What if you don't want to use these PaaS services? What if you don't know which one is better? Are they cost effective? What about private deployments into internal infrastructure? This session answers these questions with a discussion of PaaS services and setting up your own PaaS using CloudFoundry.

There's a bevy of options for developing mobile apps. If you're looking at cross-platform solutions, there's a multitude of options to choose from. In this session we'll explore the three basic categories for developing mobile apps: native, cross-platform-to-native, and mobile web. We'll discuss the sweet spot for each of these three approaches and the benefits and drawbacks of each. Technologies discussed include Android, iOS, HTML5/CSS3, Phonegap, Titanium, and jQuery Mobile.

Creating a web site, web app, or native app for mobile use presents a special set of challenges. Specifically, developers and designers should be zoned into the techniques for usability - and usability can be enhanced greatly by taking performance elements into consideration up-front.
In this session, we explore the many performance tips and tricks you can employ to make your website or web app or native app shine on mobile devices. This is an advanced course that discusses issues such as image loading, JavaScript performance, and wireless latency.

I call the JDK concurrency API as the synchronize and suffer model. Fortunately, you don't have to endure that today. You have some nice options, brought to prominence on the JVM by Scala and Clojure.

In this workshop, learn how to program with Actors and STM using Akka, a powerful and popular library created using Scala but usable from any language on the JVM. You have a choice to pick the language you like in this workshop, and learn how to use these powerful concurrency models.

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 Part II of this session, we'll cover those items we were unable to reach during Part I. We'll follow that up with a dive into the new features available in Java 7, describing new idioms for effective Java programming in the following areas:

Strings in switch statements
Enhanced syntax for numeric literals
Improved exception handling
ARM (automatic resource management) blocks
Type inference for construction of parameterized types (the “diamond” operator)

Git is a version control system you may have been hearing a bit about lately. But simply hearing more about it may not be enough to convince you of its value. Getting hands on experience is what really counts. In this workshop, you'll bring your Windows, Mac or Linux laptop and walk through downloading, installing, and using Git in a collaborative fashion.

The workshop style of this class will allow you to observe and discover the value of this new version control tool first hand. You'll be cloning, creating, commiting, and pushing repositories by the conclusion of this session.

Workshop Requirements

Please bring a Windows, Mac or Linux laptop
Please have administrative privileges on the laptop for installing software
Please install Git 1.7.10 or higher and ensure git is on your PATH (in the environment variable list of paths)
Please set up Git according to http://teach.github.com/articles/github-class-prerequisites

Time is very precious and is often threatened by phone calls, emails, co-workers, bosses, and most of all, yourself. The Pomodoro Technique reigns in unfocused time and gives your work the urgency and the attention it needs, and it's done with a kitchen timer.

In this presentation we discuss how to set up, estimate time, log time, deal with interruptions, and integrate with Agile as a team. We discuss timer software and even some of the great health benefits of the Pomodoro Technique.

Feature requests are steadily pouring in, but the team cannot respond to them. They are paralyzed. The codebase on which the company has “bet the business” is simply too hard to change. It's your job to clean up the mess and get things rolling again. Where do you begin? Your first task is to get the lay of the land by applying a family of techniques we'll call “Code Archaeology.”

In this session we will learn how to systematically explore a codebase. We'll look at what tools are available to help us out, slinging some wicked shell-fu along the way. We'll look at “code islands” and “code bridges,” and how to construct a “map of the code.” We'll also examine the wisdom that thought leaders like Michael Feathers and Dave Thomas have leant to this subject.

Once we've gained a thorough understanding of what we have in front of us, we'll learn approaches for getting the system under test and refactoring so that we can start to pick up the pace and respond to user requirements without making a bigger mess. You'll leave this session well prepared to tackle the next “big ball of mud” that gets dumped on your desk.

The book Enterprise Integration Patterns gave us a consistent vocabulary and notation with which to describe solutions to common integration problems that arise in the modern enterprise. Spring Integration (http://www.springsource.org/spring-integration) harnesses that vocabulary, providing a very natural extension to the well-known Spring programming model that enables the construction of loosely-coupled, messaging-based applications that can also integrate with services in the wild via a variety declarative adapters for heavily used protocols. This talk will provide an overview of the Spring Integration framework, it's relationship to the patterns, and to the problems they aim to solve. We'll also look at several integrated case studies.

Topics covered will include:

Framework background, goals and principles
Messages, Channels and Endpoints
Transformers
Filters
Routers
Splitters and Aggregators
Service Activators
Channel Adapters (Feeds, Files, FTP/FTPS, HTTP, Mail, TCP/UDP, JDBC, JMS, RMI, SFTP, Twitter, …)
Integrated Case Studies

Saying JavaScript is powerful is an understatement. The problem is it is way too powerful and dangerously flexible. Programmers often have trouble reaping its benefits due to its uncontrolled flexibility and, to a certain extent, lack of structure. One approach is to learn to tame the beast, like the authors of complex JavaScript libraries have done. Fortunately there is an alternative. CoffeeScript is JavaScript created in a humane way. In this session we will learn how, using CoffeeScript, we can reap all the benefits of JavaScript, but without losing our sanity in the process.

Have you ever wondered what goes on inside the virtual machines and
interpreters that we use every day?

In this session, you'll see some of the inner workings of Python, PHP, Java, and JavaScript and learn that at the lowest level these languages really are not as different as they may seem.

An overview of the basic parts of a virtual machine and interpreter that compares and contrasts the different approaches taken by different modern languages.

In part II of VMs and Interpreters, you'll dive into the inner workings of the Java Virtual Machines. You'll learn how your Java code is translated from Java source code to byte code and ultimately machine code.

You'll also see tools for viewing Java byte code and measuring performance changes caused by VM optimizations.

This session will cover the…

Java class file format
Java byte code
JVM Compiler & Runtime Optimizations

Most of us don't want to go back to the days of malloc and free, but the garbage collector isn't always our friend.

In this presentation, you'll learn about the different garbage collection strategies used in JVMs, how to monitor garbage collection, analyze memory dumps, and why you might want to use one collection strategy instead of another.

Android is gaining popularity rapidly, but why does Android use its own implementation of Java?

In this presentation, we'll dig into the details behind Android's Dalvik VM. Along the way, you'll learn about
Android' s service architecture, Dalvik's byte code format, and the surprising details of how Android installs, launches, and executes your applications.

JodaTime is Java Date/Time and Calendering done right. There are many problems with the original Date/Time API that came prepackaged in the early Java days. There are even
One of the obvious issues is that Calendar is mutable and can unintentionally be changed. Another issue is that constructing Calendars in Java involves setting certain fields at certain times during coding, but not always getting the expected result. Joda Time repairs those issues and offers a robust and immutable date, time, and duration API.

In Joda Time and a Brief History of the World, I provide a quick rundown of calendaring throughout the centuries, describe UTC, compare UTC to GMT, discuss how time is calculated, and then dive into Joda Time in every popular JVM language. The end result provides the audience with compelling proof that Joda Time should always be their Date Time API of choice.

This presentation covers the Guava library developed by Google (http://code.google.com/p/guava-libraries/). Guava provides collection extensions to the Java Collection API and, along with this, a cornucopia of time-saving utilities that bring Java as close as possible to some of the more functional and dynamic language competitors like Scala, Ruby, and Clojure.

This presentation focuses on the following topics: how to make Predicates and Functions; how to use new collection constructs that make life easier, including MultiMap, BiMaps, and MultiSets; how to set up and use Guava preconditions; and how to create truly immutable collections, and more. All of this is done with Java.

Domain Specific Langauges seems like a cool idea, but where's the payoff? This talk provides an overview of how to build both internal and external DSLs (including the state of the art tools), stopping along the way to show how this is practical to your day job.

This talk defines of DSLs (Domain Specific Languages), distinguishes the types of DSLS (internal and external), and shows examples of building DSLs of several kinds. It shows how to utilize DSLs for externalizing configuration (which you're already doing, whether you realize it or not), how to make your code readable to humans, how DSLs make developer tools better (and how to use DSL techniques to build your own tools), and how DSLs can provide your users unprecedented flexibility and power, by building DSLs customized to their job. This talk provides a good foundation for the subject if you've never seen anything about it, but keeps the focus on practical goals.

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.

Winston Churchill famously said, “First we shape our buildings, and afterwards, our buildings shape us.” He was talking about the reconstruction of the House of Parliament, which was damaged in a bombing raid in World War II. There was a debate about how to shape the chamber to best accommodate the deliberative activity of the body that met in it. Churchill was talking about buildings, but it turns out his insight is a very general one indeed.

Developers are constantly debating their choices of language, platform, editor, methodology, and even where to put the curly braces. The robust internal dialog in community is a healthy thing, but our debates are often focused on the wrong topics. Have you ever compared languages by performance benchmarks? Platforms by alleged claims of developer productivity? Methodologies by feature velocity? There is a very good chance you're doing it wrong.

Rather than focus on the material content of our debates—language performance, editor productivity, methodological velocity—we should take Churchill's advice and think about the form of our choices. How will our choice of language influence the way we solve future problems? What assumptions does our methodology make about the nature of work? How will our choice of database affect the kinds of problems we think of as solvable?

Drawing on lessons from building architecture, literature, music, the visual arts, and even software itself, we'll learn the priority of interpreting the form of things before attempting to understand their content. You may never look at software architecture the same way again.

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!

Some systems are too large to be understood entirely by any one human mind. They are composed of a diverse array of individual components capable of interacting with each other and adapting to a changing environment. As systems, they produce behavior that differs in kind from the behavior of their components. Complexity Theory is an emerging discipline that seeks to describe such phenomena previously encountered in biology, sociology, economics, and other disciplines.

Beyond new ways of looking at ant colonies, fashion trends, and national economies, complexity theory promises powerful insights to software development. The Internet—perhaps the most valuable piece of computing infrastructure of the present day—may fit the description of a complex system. Large corporate organizations in which developers are employed have complex characteristics. In this session, we'll explore what makes a complex system, what advantages complexity has to offer us, and how to harness these in the systems we build.

Alistair Cockburn has described software development as a game in which we choose among three moves: invent, decide, and communicate. Most of our time at No Fluff is spent learning how to be better at inventing. Beyond that, we understand the importance of good communication, and take steps to improve in that capacity. Rarely, however, do we acknowledge the role of decision making in the life of software teams, what can cause it to go wrong, and how to improve it.

In this talk, we will explore decision making pathologies and their remedies in individual, team, and organizational dimensions. We'll consider how our own cognitive limitations can lead us to to make bad decisions as individuals, and what we might do to compensate for those personal weaknesses. We'll learn how a team can fall into decisionmaking dysfunction, and what techniques a leader might employ to healthy functioning to an afflicted group. We'll also look at how organizational structure and culture can discourage quality decision making, and what leaders to swim against the tide.

Software teams spend a great deal of time making decisions that place enormous amounts of capital on the line. Team members and leaders owe it to themselves to learn how to make them well.

Getting software released to 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. This workshop focuses on the Deployment Pipeline concept from Continuous Delivery.

In this workshop I move from release back through testing to development practices, analyzing at each stage how to improve collaboration and increase feedback so as to make the delivery process as fast and efficient as possible. 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 spend the first half of the workshop introducing this pattern, and discussing how to incrementally automate the build, test and deployment process, culminating in continuous deployment.

Getting software released to 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. This workshop focuses on the agile infrastructure required to implement a deployment pipeline and continuous delivery.

In this workshop, I introduce agile infrastructure, including the use of Puppet to automate the management of testing and production environments. We discuss automating data management, including migrations. Development practices that enable incremental development and delivery will be covered at length, including a discussion of why branching is inimical to continuous delivery, and how practices such as branch by abstraction and componentization provide superior alternatives that enable large and distributed teams to deliver incrementally.

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.

The single most important tool in any developers toolbox isn't a fancy IDE or some spiffy new language - it's our brain. Despite ever faster processors with multiple cores and expanding amounts of RAM, we haven't yet created a computer to rival the ultra lightweight one we carry around in our skulls - in this session we'll learn how to make the most of it. We'll talk about why multitasking is a myth, the difference between the left and the right side of your brain, the importance of flow and why exercise is good for more than just your waist line.

Java - Groovy integration just works, for most part. Calling into Java code from Groovy is pretty straight forward. Calling into Groovy from Java is easier than you may think (and that's the hard part!). There are a
few rough edges you will run into when you try to call from Groovy into other languages.

In this presentation, we will take a look at integration mechanisms and how to work around the few challenges you may run into.

You can program higher order functions in Groovy quite easily using closures. But the benefits of closures go far beyond that. Groovy has a variety of capabilities hidden in closures.

In this presentation, we will unlock that treasure and explore ways in which we can design applications using Groovy closures, to apply different design patterns, to create fluent interfaces, and even program asynchrony.

For a long while, we've built applications pretty much the same way. Regardless of the frameworks (or even languages and platforms) employed, we've packaged up our web application, deployed it to a server somewhere, and asked our users to point their web browser at it.

But now we're seeing a shift in not only how applications are deployed, but also in how they're consumed. The cost and hassle of setting up dedicated servers is driving more applications into the cloud. Meanwhile, our users are on-the-go more than ever, consuming applications from their mobile devices more often than a traditional desktop browser. And even the desktop user is expecting a more interactive experience than is offered by simple page-based HTML sites.

With this shift comes new programming models and frameworks. It also involves a shift in how we think about our application design. Standing up a simple HTML-based application is no longer good enough.

In this session, we'll discuss what the next generation of applications looks like, exploring such things as the mobile web and cloud computing. We'll also dig into some of the technologies and practices such as REST, OAuth, and JavaScript microframeworks that enable us to move forward.

Neo4j is an open-source, enterprise-class database with a conventional feature set and a very unconventional data model. Like the databases we're already used to, it offers support for Java, ACID transactions, and a feature-rich query language. But before you get too comfortable, you have to wrap your mind around its most important feature: Neo4j is a graph database, built precisely to store graphs efficiently and traverse them more performantly than relational, document, or key/value databases ever could.

Neo4j is an obvious fit to anyone who thinks they have a graph problem to solve, but this is not many people. It turns out that the most interesting property of Neo4j is its architectural agenda. It wants you to think of the entire world as a graph—as a set of connected information resources. Steeped in the thinking of resource oriented architecture, this NoSQL database wants to change the way you look at your world, and unlock new value in your data as a result.

In this session, we're going to combine the magic of Spring Boot and the magic of Spring Data to yield something even more powerful. You'll see how to quickly build an application's persistence layer, whether it stores data in a RDBMS, Mongo, Neo4j, or several other popular data stores. You'll also see how to create a functioning REST API with nothing more than an interface and a domain type.

Spring Boot dramatically simplifies application development with Spring. But before Spring Boot came along, Spring Data was already making developers' lives easy when it comes to working with data. When combined, Spring Data and Spring Boot can make data persistence the easiest part of your application.

In this session, we're going to start with the basics of how to setup Spring for developing web applications. With that foundation set we'll quickly move into the nuts and bolts of developing web applications that leverage the capabilities offered by Spring MVC, including several new features introduced in recent releases, up to and including Spring 4.0.

From the very beginning, Spring has included Spring MVC, a web framework built around the Spring Framework. Originally based on a rich hierarchy of controller classes, Spring MVC served developers well, but began to look a little long in the tooth compared to other web frameworks.

Fast-forward to 2014. With Spring 4.0, Spring MVC is vastly different than its 1.0 namesake. The annotation-driven programming model has been improved, making it more powerful, more flexible, and incredibly simple to work with.

In this session, I'll show you how to secure your Spring application with Spring Security 3.2. You'll see how to declare both request-oriented and method-oriented security constraints. And you'll see how SpEL can make simple work of expressing complex security rules.

Although we may invite guests into our homes and give someone a ride in our car, we locks and alarms on our homes and our cars to keep uninvited and malicious visitors out. Similarly, we allow people to use the applications that we develop, but we probably want to control the access that they have.

Security is an important aspect of any application. And while we could program security rules into the web controllers and methods in our application, we'd find ourselves cluttering our business logic with repetitive security code. Security is a cross-cutting concern–begging to be handled with aspect-oriented techniques.

Spring Security is an authentication and access-control framework based on Spring that provides security aspects. With Spring Security, you can declare who is allowed to access your application and what they're allowed to see, keeping your application logic focused and uncluttered with security details.

Alternative databases continue to establish their role in the technology stack of the future—and for many, the technology stack of the present. Making mature engineering decisions about when to adopt new products is not easy, and requires that we learn about them both from an abstract perspective and from a very concrete one as well. If you are going to recommend a NoSQL database for a new project, you're going to have to look at code.

In this talk, we'll examine three important contenders in the NoSQL space: Cassandra, MongoDB, and Neo4J. We'll review their data models, scaling paradigms, and query idioms. Most importantly, we'll work through the exercise of modeling a real-world problem with each database, and look at the code and queries we'd use to implement real product features. Come to this session for a thorough and thoroughly practical smackdown between three important NoSQL products.

When you want to measure fractions of a millimeter, you get a micrometer. When you want to measure centimeters, you get a ruler. When you want to measure kilometers, you might use a laser beam. The abstract task is the same in all cases, but the tools differ significantly based on the size of the measurement.

Likewise, there are some computations that can be done quickly on data structures that fit into memory. Some can't fit into memory, but will fit on the direct-attached disk of a single computer. But when you've got many terabytes or even petabytes of data, you need tooling adapted to the scale of the task. Enter Hadoop.

Hadoop is a widely-used open source framework for storing massive data sets in distributed clusters of computers and efficiently distributing computational tasks around the cluster. Come learn about the Hadoop File System (HDFS), the MapReduce pattern and its implementation, and the broad ecosystem of tools, products, and companies that have grown up around this ground-breaking project.

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:

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)
Unzip the koans: dmarsh-scalakoansexercises-#####.zip
cd into the dmarsh-scalakoansexercises-#### folder
If you are in Linux or MacOSX run: ./koans, on Windows ./koans.bat
After some initialization, you are now in the koans/sbt shell (you should see a > prompt)
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)
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.

Recursion is a highly expressive technique that's common in divide and conquer strategy and also in dynamic programming. Modern JVM languages like Clojure, Scala, and Groovy offer techniques to optimize recursion and also to facilitate dynamic programming.

In this presentation we'll take a look at the nature of the problems that can use these techniques, and dive into code examples to use these techniques.

Mutability is something we're quite used to in Java. Sharing is a good thing. However, shared mutability is pure devil's work. If we remove shared mutability, all the problems of concurrent go away. In practice, however, it's hard to completely get rid of shared mutability. This is where STM comes in with managed shared mutable variables. In this presentation we will take an example driven approach to dive deep into STM, look at what it has to offer, explore different implementations, and how we can design concurrent applications without any explicit locks.

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. In this session, we'll assume you know nothing of Backbone.js, and we'll build a small application using Backbone.js as the foundation. We'll also build the same app using Ember.js, another popular JavaScript framework.

Backbone.js gives structure to web applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface.
Ember.js is another popular framework that provides client-side code structure. It takes a different approach than Backbone.js, but provides more features. Ember.js came out of the SproutCore project and emphasizes bindings.

Domain Specific Languages have two main characteristics, fluency and context. Creating external DSLs has the advantage of good validation. However, we have to struggle with parsers. Internal DSLs offer the benefit of using the language as the host and its compiler as the parser. For a language to be a host, it needs two important characteristics: low-ceremony and metaprogramming.

In this workshop you will learn how to create internal DSLs using Groovy metaprogramming and scripting techniques. We will start with a short warmup of metaprogramming techniques and then dive into creating DSLs.

Workshop Requirements

Attendees are expected to pair up and work on the labs. Software requirements:

Latest version of Groovy (beta version is fine).
Your favorite IDE or editor for writing and running Groovy code.

Pacific Northwest Software Symposium

September 7 - 9, 2012

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