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.

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.

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.

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.

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.

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.

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.

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.

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.

Becoming more agile

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.

Finally, the Java 8 Date Time API will be in our grasps and now we will celebrate gleefully in the streets! ISO8601 and UTC standards! Immutability! Time to set attention to stun as this presentation will cover all the goods about the new Date/Time API that makes Java programming safe.

We cover in 90 Minutes:
ISO 8601 & UTC
Instants
Periods
Durations
Parsing
Time Zone Manipulations and Updates
Conversion from Old Java Date Times
Whatever else we can cram into the presentation

This will interactive for the most part with few slides. Bring on your questions.

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.

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.

cloud architecture… an architectural walk through cloud services and components

high level
Data Centers / VDC
CDN
Monitoring
Load Balancing
Queue
Storage (s3, etc)
DNS
Search
Routing
(Amazon + Open Source) example: CloudSearch vs ElasticSearch
Security

low level
HAProxy
Nerve
synapse
queues
compute
dns

cloud architecture… an architectural walk through cloud services and components

high level
Data Centers / VDC
CDN
Monitoring
Load Balancing
Queue
Storage (s3, etc)
DNS
Search
Routing
(Amazon + Open Source) example: CloudSearch vs ElasticSearch
Security

low level
HAProxy
Nerve
synapse
queues
compute
dns

Scala is known for both its clarity in some cases, and its obscurity in others. Well, this presentation sticks with the obscurity. We will cover abstract types, the Predef, implicit conversions, creating infix types, singleton types, type variance, type bounds, type variance, partially applied functions vs. partial functions, type projections, and overcoming type erasure using Manifests.

This presentation is geared in at the programmer level and not at a scientific level, with no type theory or calculus. Basic knowledge of Scala is preferrable, though not required. Asking tough questions is mandatory.

Most introductory programming books include a chapter on testing, seemingly as an afterthought. For the test-driven developer, that's a little too late. Some programmers approach a new programming language with a few test-cases to understand a concept. Others thrive under fire and want to hit the ground running in a new programming language by creating an application.

It just so happens that testing code in Scala is a great way to learn Scala, but also really good at testing Java code. This presentation started a book on how to use some of the greatest tools that you can use to test. This presentation will cover ScalaTest, Specs2, ScalaMock and ScalaCheck all in a triggered execution environment using SBT. For those that do not wish to use SBT, we will cover other options as well. Using these tools you may never want to use those plain jane java testing frameworks ever again. While this presentation is not interactive, all demos will be available on github for those that want to “play” along with their laptops.

Presentation on Akka. A set various tools to write concurrent, fault-tolerant applications using immutable data, asyncronous message passing using local and remote actors, software transactional memory, and supervised systems.

Akka is a middleware, but it is not your 1990s middleware. Akka is a set of various tools to write concurrent, fault-tolerant applications using immutable data, asyncronous message passing using local and remote actors, software transactional memory, and supervised systems. Akka is also part of the Typesafe stack, a stack that include the Play web framework and the Scala programming language. This Akka presentation will cover both Scala and Java style usage of Akka and give the audience a 30k view of how it comes together. While this presentation is not interactive, all demos will be available on github for those that want to “play” along with their laptops.

So your server is having issues? memory? Connections? Limited response? Is the first solution to bounce the server? Perhaps change some VM flags or add some logging? In todays Java 6 world, with its superior runtime monitoring and management capabilities the reasons to the bounce the server have been greatly reduced.

This session will look at the Java monitoring and management capabilities, which includes the ability to make VM argument changes on the fly. This session will dive into the different memory compartments and how they are used by the JVM. Final this session will explore the different GC options and how they affect response times and throughput.

As a web application developer, most of the focus is on the user stories and producing business value for your company or clients. Increasingly however the world wide web is more like the wild wild web which is an increasingly hostile environment for web applications. It is absolutely necessary for web application teams to have security knowledge, a security model and to leverage proper security tools.

This training workshop on security will provide an overview of the security landscape starting with the OWASP top ten security concerns with current real world examples of each of these attack vectors. The first session will consist of a demonstration and labs using hacker tools to get an understanding of how a hacker thinks. It will include a walk through of the ESAPI toolkit as an example of how to solve a number of these security concerns including hands-on labs using the OWASP example swingset.

The workshop will include several hands on labs from the webgoat project in order to better understand the threats that are ever so common today.

Attendees will come away with the following skills / capabilities:

threat modeling
security audit plan
introduction to Pen testing
key / certificate management
fixing web application security issues

Don't be the weakest link on the web!

The workshop will include several hands on labs from the webgoat project in order to better understand the threats that are ever so common today.

Attendees will come away with the following skills / capabilities:

threat modeling
security audit plan
introduction to Pen testing
key / certificate management
fixing web application security issues

Don't be the weakest link on the web!

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 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.

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!

The software industry changes rapidly, but you can protect yourself
from these changes by creating code that is complicated enough that
only you can maintain it.

Of course you should not engage in obvious bad practices. The good
news is that you don't have to. You can follow idiomatic industry
practice and stay buzzword compliant with the latest trends, while
quietly spreading complexity throughout systems. Better yet, the
symptoms will show up not in your own code, but in other code that
uses your code, directly or indirectly. You will be a hero as you
lead larger and larger teams burning the midnight oil to keep systems
alive.

Practice these principles, and your code will have an
infectious complexity that guarantees you will always be needed to
maintain it.

Use OO, and don't forget those setter methods!
Prefer APIs over data.
Start with DSLs.
Always connect (and never enqueue).
Create abstractions for information.
Use static typing across subsystem boundaries.
Put language semantics on the wire.
Write lots of unit tests.
Leverage context.
Update information in place.

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.

The surge of interest in the REpresentational State Transfer (REST) architectural style, the Semantic Web, and Linked Data has resulted in the development of innovative, flexible, and powerful systems that embrace one or more of these compatible technologies. However, most developers, architects, Information Technology managers, and platform owners have only been exposed to the basics of resource-oriented architectures.

This talk, based upon Brian Sletten's book of the same name, is an attempt to catalog and elucidate several reusable solutions that have been seen in the wild in the now increasingly familiar “patterns” style. These are not turn key implementations, but rather, useful strategies for solving certain problems in the development of modern, resource-oriented systems, both on the public Web and within an organization's firewalls.

At the intersection of Big Data, Data Science and Data Visualization lives a programming language that ranks higher on the TIOBE index than Scheme, Fortran, Scala, Prolog, Erlang, Haskell, Lisp and Clojure.

The R language and environment is an open source platform that has quickly become THE language for analyzing data and visualizing the results. This talk will introduce you to the language, the environment and how it is being used with Big Data and Linked Data.

You don't need to be a stats head to attend this session. We'll introduce some basic concepts. If you are a stats head, there is plenty of material that you will still enjoy.

History of R
Language basics, data types and main structures
Some statistics fundamentals
R Graphics
R and Big Data
R and Linked Data

Traditional automated testing approches combine input generation, execution, output capture, and validation inside the bodies of single functions. Generative testing approaches gain expressive power by isolating these steps.

With generative testing:

a generator is a declarative description of possible inputs to a function
execution is up to your program
outputs are data, and can be captured for future study
validators are programs that have access to the generators, the program, and the outputs

There are a number of benefits to this approach:

once test data generation is separate, it is immediately obvious that such data generation should be statistical, not merely a few hand-picked cases
validators can be reused in a variety of
it becomes easier to identify and develop declarative, logic-based validations, rather than imperative ones
the various phases can be decoupled and run at different times

This talk introduces test data generation and generative testing, using for its examples the data.generators and test.generative libraries developed by the author.

Resources

Simulation allows a rigorous, scalable, and reproducible approach to testing. The separation of concerns, and the use of a versioned, time-aware database, give simulation great power. This talk will introduce simulation testing, walking through a complete example using Simulant, an open-source simulation library.

Simulation allows a rigorous, scalable, and reproducible approach to testing:

Statistical modeling

Simulation begins with statistical models of the use of your system. This model includes facts such as “we have identified four customer profiles, each with different browsing and purchasing patterns” or “the analytics query for the management report must run every Wednesday afternoon.” Models are versioned and kept in a database.

Activity streams

The statistical models are used to create activity streams. Each agent in the system represents a human user or external process interacting with the system, and has its own timestamped stream of interactions. With a large number of agents, simulations can produce the highly concurrent activity expected in a large production system.

Distributed execution

Agents are scaled across as many machines as are necessary to both handle the simulation load, and give access to the system under test. The simulator coordinates time, playing through the activity streams for all the agents.

Result Capture

Every step of the simulation process, including modeling, activity stream generation, execution, and the code itself, is captured and stored in a database for further analysis. You will typically also capture whatever logs and metrics your system produces.

Validation

Since all phases of a simulation are kept in a database, validation can be performed at any time. This differs markedly from many approaches to testing, which require in-the-moment validation against the live system.

Separation of concerns

The separation of concerns above, and the use of a versioned, time-aware database, gives simulation great power. Imagine that you get a bug report from the field, and you realize that the bug corresponds to a corner case that you failed to consider. With a simulation-based approach, you can write a new validation for the corner case, and run that validation against your past simulation results, without ever running your actual system.

This talk will introduce simulation testing, walking through a complete example using Simulant, an open-source simulation library.

The key to understanding Clojure is ideas, not language constructs.
In this talk, we will approach Clojure via 10 Big Ideas.

Each of these ideas is valuable and useful a la carte, not necessarily
only in a Clojure together. Taken together, they beging to fill in the
picture of why Clojure is changing the way many programmers think
about software development.

edn
Persistent Data Structures
Atomic Success Model
Seqs
Protocols
ClojureScript
Reducers
core.logic
Datalog
core.async

winning with agile by analyzing the failings of others

For decades object-oriented programming has been sold (perhaps over sold) as the logical programming paradigm which provides “the way” to software reuse and reductions in the cost of software maintenance as if it comes for free with the simple selection of the an OO language. Even with the renewed interests in functional languages, the majority of development shops are predominately using object-oriented languages such as Java, C#, and Ruby. So most likely you are using an OO language… How is that reuse thing going? Is your organization realizing all the promises? Even as a former Rational Instructor of OOAD and a long time practitioner, I find great value in returning to the basics. This session is a return to object-oriented basics.

This session is intended to balance the often-touted theoretical object-oriented practices with lessons from the real world. The session will start with a review of some of the basics regarding abstractions and encapsulation. Although simple concepts, we will push the boundary of how these techniques are applied. We will discuss the difference between analysis and design and how that is reflected in our code. We will also look at the limitations of Java the language as outlined in Josh Block’s book “Effective Java”. The session will go past the basics of object-oriented principles and into what our true goals of development really are.

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.

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.

Introduction to Go

Introduction to Go… language of the cloud

The Single Page App, or SPA, require the developer thinks about architecture in new ways compared to traditional server-side page generation web apps. Whether you've used Java web frameworks like Spring Web, or Struts, dynamic frameworks like Grails or Rails, or even Django or PHP, you will need to learn some new techniques for building SPA type applications. We discuss the architecture and design of Service Oriented Front End Architectures (SOFEA) in this session.

In this session, we'll look at structuring your app from both the client and server side. Using a SPA framework like Backbone.js or Ember can help, but does not answer critical design questions. This is a fast paced session where we'll talk about SPAs, REST, SEO, and much more.

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.

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.

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 this session, we’ll look at some of the options for storing application and user data, such as simple JSON and SQLite. We’ll discuss the details of deciding to use SQL or a NoSQL solution. We’ll look at how to architect a data-driven web / mobile app, strategies for server synchronization, and take a deep dive into working with datasets in JavaScript.

Working with data in Web browsers can be tricky - fortunately the IndexedDB standard has come forward to help developers organize and store data. On mobile platforms, Phonegap allows the use of both IndexedDB and SQLite. Titanium, and open-source native platform for mobile based on JavaScript, also has a host of options for storing application and user data. We'll look at utilizing IndexedDB in Web Browsers, Phonegap and Titanium. We'll also see how to leverage SQLite in Phonegap and Titanium. This is a code-heavy session and all the code will be in JavaScript.

There is nothing better than looking at real-world examples to understand project failures and project successes. This session is intended to be an open conversation, based closely to a birds of a feature (BOF) session, however it will have a series of “that happened to me” topics throughout discussed from the perspective of technology.

Discussed will be a clients dating back from 2005. The actually client and there name will not be revealed, but the industry, the contraints and some of the outcomes will.

This session focuses on JavaScript not in the browser, but on the server and command line. We'll explain and work with tools such as nodejs and grunt.

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.

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.

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.

RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP). While JMS works great in an all-Java environment, RabbitMQ works across all major platforms including Java, .NET, Python, Ruby, and JavaScript. RabbitMQ has the features you would expect from an enterprise grade message queue such as fault-tolerance, clustering, and high-availability. This is an introductory session to RabbitMQ.

RabbitMQ uses the AMQ protocol for messaging and features a nice management UI. While being lightweight and fast, it still provides excellent performance and scalability. In this session we'll cover the basics of RabbitMQ and run some live code samples.

The presentation will cover an introduction on the framework by creating a basic web application in both Java and Scala to get you started.

The Play Framework is a lightweight and stateless web framework that is part of the TypeSafe stack, a stack which includes Akka middleware and the Scala programming language. The presentation will cover an introduction on the framework by creating a basic web application in both Java and Scala to get you started. The presentation will also cover javascript library integration and explain the philosophy behind the framework and give an honest analysis on the advantages and disadvantages of the framework. While this presentation is not interactive, all demos will be available on github for those that want to “play” along with their laptops.

Salt Lake Software Symposium

May 30 - 31, 2014

Resources

Statistical modeling

Activity streams

Distributed execution

Result Capture

Validation

Separation of concerns

Resources

Statistical modeling

Activity streams

Distributed execution

Result Capture

Validation

Separation of concerns

TEST