The new facilities in Java 8 is about the change the way we write code. Our code will become
more expressive and concise. But, exactly how?

In this presentation we will take several common Java code examples, discuss the core idea expressed in code, and transform that code to use the facilities in Java 8. Watch and interact as you see Java code go through a weight loss program right in front of your eyes.

Functional programming has gained the recognition it deserves and almost all mainstream languages now support functional style of programming. With the introduction of lambdas in Java 8, we have new tools on our hands. In this presentation, we explore this tool and how we can benefit from it.

We start with an introduction to lambda and learn about imperative vs. declarative style and learn how to solve some common problems with it.

We all have heard about lambda expressions in Java 8. The real unsung hero of Java 8 are the Streams.

In this presentation we will take an example driven approach to explore streams, their core capabilities form the application development point of view, and how to explore these capabilities for improve performance and efficiency.

Conciseness, expressiveness, and fluency, among other things, are some of the core strengths of Scala.
Beyond the language capabilities, the Scala library has a wealth of capabilities to make expressive
and concise code quite efficient. This combination of benefits comes from the functional side of Scala where function composition and lazy evaluations are common place.

In this presentation we will learn about being lazy and, by doing so, how we can make the code quite efficient both from the point of view of expression and execution.

Big data, smart phones, tablets, wearable devices, multicore processors,…—we're seeing rapid and drastic
evolution in both the computing environments and the application needs. Thankfully, a number of technologies have been evolving over the past several years to meet these demands. The reactive manifesto is an attempt to reenforce a set of technical practices needed to meet the emerging demands.

If you've heard and read about reactive programming, but are eager to realize that in code, then this presentation is for you. We will start with a rapid introduction and get into code to learn about reactive programming, not in theory but with practical examples.

You don't need Node.js or MongoDB to build “full-stack” solutions, but they sure help! This stack is popular for its scalability, its promise of developer productivity, and the capability to develop all components with a single programming language. Not all use cases are a great fit for JavaScript on the server. But love it or hate it, there are valuable lessons and use cases here for all developers.

We'll examine a complete multiuser end-to-end app using HTML5, CSS, and JavaScript. We'll connect it to a simple Node.js instance using WebSocket. We'll wire up a simple document-oriented persistence layer with MongoDB. And we'll do it all using mostly-vanilla JavaScript to illustrate concepts that don't depend on particular frameworks.

You'll leave this session convinced that full-stack JavaScript has “teeth”, and that it's not all just hype. And whether you intend to use JavaScript, Java, Ruby, or a mix of various frameworks on the server, the architecture of a dynamic HTML5 app will be made transparent and straightforward.

You don't need massive frameworks to build mobile apps responsive to touch events, that contain fluid animations, or that are easily deployed to app stores. All you really need is a solid grasp of the JavaScript, CSS3, and HTML5 features and APIs that enable a compelling experience.

In this session, I will show some examples of mobile apps built with HTML5 that offer instantaneous handling of touch events such as pan gestures. I'll demonstrate best practices using CSS3 transitions to implement card and panel design patterns typical of mobile user interfaces. And I'll show just how easy it is to extend the device features available to HTML5 using Cordova, packaging a mobile app for app store deployment.

Web Components change the way you build web applications and think about front-end architecture. Finally, web developers have a sane way to scope and modularize not just their JavaScript, but also the HTML5 and styling. The approach is elegant, encourages compatibility between frameworks, and piggybacks on the web browser's success as an open and extensible runtime. The Polymer framework demonstrates how frameworks can and should evolve in a Web Components world.

In this session, I'll provide an overview of Polymer, and demonstrate the creation of Web Components using the framework. Data binding, true encapsulation of code and style, and dynamic HTML imports are all ready for your use. You will leave with a solid understanding of Polymer basics, and real-world examples of Polymer being used in production today. You will be able to guide your current development to better align with upcoming web standards, and to understand how they will change the way we build and deploy web applications. I'll also show you examples of a large personal project using Web Components to build an entire iOS application.

If the web browser is growing up, then Web Components are the browser leaving home. Finally.

Workshop Requirements

For this workshop, you should bring a laptop with some IDE installed – Brackets (from brackets.io) works well. We'll do the rest in the session, including installing Polymer itself.

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

In this session we will take a look at Angular and using it to develop rich web applications. Angular embraces HTML and CSS, allowing you to extend HTML towards your application, and uses plain JavaScript which makes your code easy to reuse, and test.

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

Topics Covered -

• Bootstrapping an AngularJS application using ng-app
• ng-init and the evaluation {{ }} directive
• A brief look at $rootScope and scoping rules
• ng-model
• Controllers, Dependency Injection, and the View-Model
• Looping using ng-repeat
• Forms using ng-form, form validation and submission in AngularJS
• ng-messages to display form validation messages to the user
• Angular provided filters and custom filters

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

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

In this session we continue our discussion from Part I. As we continue to evolve our application we will seek to use, and understand a few more of AngularJS' core constructs.

• Factories and services
• Routing using ng-view and $routeProvider
• AJAX calls to a backend using $http

If time permits we will look at a few good practices when developing AngularJS applications, ways to modularize your code, and some tools that aid in the development of AngularJS applications.

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.

You wouldn't write your entire application in a single main() method or servlet. Nor would you develop an entire production-ready application in a single class. It's even unlikely that you'd cram everything into a single package.

Modularity helps us gain order in our code, breaking it into easily digestible, refactorable, pluggable, and testable chunks. Classes and methods are a form of modularity that we're all familiar with. But once the code is built, modularity goes away and we're left deploying a single WAR file.

Aside from being buzzword-compliant, Microservices are a means of defining entire systems from composable, but distinct deployment units gaining all of the benefits of finer-grained modularity. As it turns out, Spring is well-equipped as the platform on which we can build and deploy microservices.

In this session, we'll examine the details of microservices and explore the features of Spring, Spring Boot, and Spring Cloud that enable you to achieve modularity via microservices.

How do you test a Spring application? The easy answer is that Spring encourages loose-coupling through interfaces and dependency injection, therefore it's easy to inject mock implementations at test time.

But, as I said, that's the easy answer.

There's more to testing an application than simple unit-testing. And the most challenging parts of an application to test are the external edges such as the web and database portions. It's difficult to inject a mock user into a web application; and injecting a mock database doesn't give any confidence that persistence code will work with a real database.

In this session, we'll look at various ways that Spring and Spring Boot help with testing the tough-to-test portions of an application.

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, clearly articulate the benefits of OSGi, and examine OSGi in the context of other microservice architectures.

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 OSGi specific microservices.

Traditional approaches to software architecture are broken. Attempts to define the architectural vision for a system early in the development lifecycle do not work. In today’s volatile technology and business climate, big architecture up front is not sustainable. In this session, we will explore several principles 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 that everyone understands? Possess the flexibility to evolve as new requirements emerge? To satisfy the architectural qualities, including performance, security, availability, reliability, and scalability? Yes. Yes. Yes. At the heart of these three questions are the three pillars of architecture - social, process, and structure. 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? In this session, we’ll explore several principles to increase architectural agility and provide some actionable advice that will help you get started immediately.

New architectural paradigms are emerging that challenge traditional assumptions about the way that scalable and adaptable software is built. At the heart of these paradigms is a modular approach that breaks apart the monolithic application into microservices. But breaking apart the monolith has implications beyond software architecture and microservices are just one implementation alternative.

In this session, we will explore modularity’s fundamental role in a large scale software architecture. We’ll compare and contrast different implementation technologies for building modular architectures. And we’ll discover the impact that modern architecture has on infrastructure and methodology. Finally, we will examine how modern web and mobile apps fit into this overall architectural story.

Microservice architecture is a modern architectural approach that focuses on breaking apart the monolith and building modular services. But the framework we use has a tremendous impact on how we build and deploy services. A new type of framework has emerged that provides a lightweight stack for building microservices.

In this session, we will explore some modern Java micro frameworks for building microservices. Example frameworks you may see include Dropwizard, Spark, Ninja, RestExpress, Play, Restlet, and RestX.

The Semantic Web and its related technologies provide an incredibly powerful model for driving the cost of data integration down to nearly zero. So, how do we deal with developers who are overwhelmed, frightened or annoyed by its data models and formats?

We really do not have to devolve into Webs of Haves and Have nots when it comes to semantically rich, interoperable data and modern application tools, frameworks and user interfaces. There is a surprisingly simple mechanism by which “normal” developers can benefit from the power of the Semantic Web and the latter's developers can integrate with the panoply of tools and toys under constant development by the former.

The trick is JSON-LD. A simple, but deliberately designed extension to JSON that bridges both worlds and is finding its way into many other uses by the likes of Google and GitHub.

We will learn about:

• the JSON-LD format
• how to frame, sign and validate it
• how to convert it to/from RDF
• how to describe Hypermedia systems with Hydra and JSON-LD
• how to embed and consume JSON-LD in HTML documents
• how JSON-LD is being used in a variety of mass market ways

Cause and effect is a process that is generally missing from many of the applications we write. In a typically application, if a value needs to be calculated or some data needs to be moved from one part of the code to another, we call a method. Consequently, we find ourselves writing synchronous and highly-coupled code.

Reactive programming, on the other hand, allows you to develop code in as asynchronous streams of data, listening for data events and reacting to them asynchronously. Reactive code is generally cleaner, more concise, and involves less coupling.

In this session, we'll explore Reactor, a foundation for reactive programming on the JVM. We'll see how to write reactive code with Reactor in both Java and Groovy as well as look at how to inject Reactor into Spring applications.

In this session we will look at some JavaScript patterns, and how you can use them within your code.

No longer can you think of JavaScript as a kiddie-scripting language. JavaScript has now been promoted to a first-class citizen within your application - and with this, comes the need to think of better abstractions, code re-use - even thinking of establishing a common vocabulary to discuss approaches to writing better, cleaner and ultimately more maintainable JavaScript code.

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

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

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

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

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

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

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

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

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

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.

JavaScript will celebrate it's 24th birthday in 2020. For a language that has been around for such a while it has seen very few, if any changes to the language itself. Well all that is about to change with ECMAScript.next (or ECMAScript 6). ECMAScript 6 modernizes JavaScript syntax, while bringing in features such as modules for better namespacing, class as a first class construct, and a variety of additional operators thus ensuring that JavaScript is ready for the next era of large scale modern web applications. ES 7, 8, 9 and now 10 all use the features introduced by ES6 to further the language.

In this session we will take a look at some of the features that ECMAScript 6 / 7 / 8 / 9 and 10 bring to the table. We will take an exploratory approach, and by the end of 3 hours, you will be well versed with ALL of the new features in JavaScript.

JavaScript will celebrate it's 24th birthday in 2020. For a language that has been around for such a while it has seen very few, if any changes to the language itself. Well all that is about to change with ECMAScript.next (or ECMAScript 6). ECMAScript 6 modernizes JavaScript syntax, while bringing in features such as modules for better namespacing, class as a first class construct, and a variety of additional operators thus ensuring that JavaScript is ready for the next era of large scale modern web applications. ES 7, 8, 9 and now 10 all use the features introduced by ES6 to further the language.

In this session we will take a look at some of the features that ECMAScript 6 / 7 / 8 / 9 and 10 bring to the table. We will take an exploratory approach, and by the end of 3 hours, you will be well versed with ALL of the new features in JavaScript.

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

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

Gradle has fast become one of the de-facto build tool in the Java ecosystem. You might have used Gradle to build your project without realizing how much more Gradle has to offer. Up-to-date checking, automatic clean, file operations such as copy, move and zip and so much more are just some of the features that Gradle offers right out of the box.

In this session we will explore some of these features and how we can use them within our own builds.

Java 8 is the biggest change to the Java language ever. The addition of lambdas, functional interfaces, and streams fundamentally changes the programming model for applications. This talk summarizes those changes, along with optionals, method references, and other new features of the language.

Demonstrations will include the map/filter/reduce mechanism, the streaming API, how to write functional interfaces, predicates, suppliers, consumers, method references, default methods in interfaces, optionals, and more.

Groovy is unusual among programming languages in that it doesn't seek to replace its predecessor. You can freely mix Groovy with Java on a class-by-class, or even line-by-line, basis. If you are working with Java, there's no reason not to make your life easier by adding Groovy where it helps the most.

Groovy helps Java in many ways, especially when processing XML or JSON data, replacing anonymous inner classes, adding tons of library methods that Java has needed all along, vastly simplified file and database manipulation, and much more. This talk will demonstrate how you can add Groovy to Java applications and simplify your development job immediately.

The Groovy Parallel Streams framework is a Groovy library for performing both Java and Groovy tasks concurrently. It offers many high-level concurrency abstractions, from Actors to Dataflow operators to Agents and Parallel Collections.

After reviewing the basic concepts, demonstrations will include communicating sequential processes, promises, dataflow concurrency, and concurrent collection processing. As multi-core and multi-processor systems become pervasive, the need for algorithms that take advantage of them becomes more and more critical. GPars is a powerful library with a straightforward syntax for managing concurrency.

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

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

Didn't you hear the news? TDD is dead. Yet many developers rely on it for quality code. Come join the zombie apocalypse and learn and understand TDD, what sets it apart from unit testing after the fact, what to do when you need to update code, effective mocking, automatically generating test data and lots of it, leaving code alone and respecting your work, and more

This presentation will cover:

• What is TDD?
• Benefits of TDD
• How to TDD
• Mocking
• The Great TDD Debate
• Opinions of TDD from Industry Leaders
• JVM Testing Tools
• JVM Testing Languages
• Testing Static Calls
• Updating Code

Didn't you hear the news? TDD is dead. Yet many developers rely on it for quality code. Come join the zombie apocalypse and learn and understand TDD, what sets it apart from unit testing after the fact, what to do when you need to update code, effective mocking, automatically generating test data and lots of it, leaving code alone and respecting your work, and more

This presentation will cover:

• What is TDD?
• Benefits of TDD
• How to TDD
• Mocking
• The Great TDD Debate
• Opinions of TDD from Industry Leaders
• JVM Testing Tools
• JVM Testing Languages
• Testing Static Calls
• Updating Code

Functional Programming is now a dominating force and comes with a baggage of terms that sound more like diseases than software design. In this two part series we break down and learn enigmatic terms like higher order functions, type classes, ad-hoc polymorphism, types vs. kinds, functors, applicatives, monoids, and monads. The attempt for this presentation is to make huge mathematical topics understandable and to explain when and where such design structures can help you in your daily development.

In Part 1: We analyze higher order functions, type classes, ad-hoc polymorphism, types, vs. kinds, and functors. This presentation will use a variety of JVM languages and will also include some Haskell where much of these terms will come from.

Functional Programming is now a dominating force and comes with a baggage of terms that sound more like diseases than software design. In this two part series we break down and learn enigmatic terms like higher order functions, type classes, ad-hoc polymorphism, types vs. kinds, functors, applicatives, monoids, and monads. The attempt for this presentation is to make huge mathematical topics understandable and to explain when and where such design structures can help you in your daily development.

In Part 2: Applicatives, Monoids, and Monads. This presentation will use a variety of JVM languages and will also include some Haskell where much of these terms will come from.

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.

Encryption is a powerful tool for privacy. At least that is what we're meant to think.

If you consider encryption to be a black box of magic, you should probably attend this talk.
If you think encryption will protect your secrets, you should probably attend this talk.
If you have (or haven't) been following the news, you should probably attend this talk.

The truth is, encryption can be an effective way of making it harder for people to steal your secrets. But it isn't magical, it isn't fool proof and, depending on how you are using it, may be completely useless. It is a hard topic that we'll only touch the surface on, but there are very few topics that are more crucial for our industry and profession to understand better than encryption. You don't have to understand the math (although that will help), but you do have to understand what it will and won't do for you*.

*and how implementations of it may have been intentionally compromised

If you're not terrified, you're not paying attention.

Publishing information as webs of data does not require us to just give it away. We have a series of tools and techniques for managing identity, authentication, authorization and encryption so we only share content with those we trust.

Before we tackle Web Security, however, we need to figure out what we mean by Security. We will pull from the worlds of Security Engineering and Software Security to lay the foundation for technical approaches to protecting our web resources.

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.

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

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

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

Instant messaging, video conferencing, online audio calls and file sharing have become a crucial part of every day life. Until recently, this required the use of a centralized service. Now, with the WebRTC Standard from the W3C, we have the ability to communicate through our browsers without relying on third parties or plugins.

This talk will introduce you to the WebRTC standards from the World Wide Web Consortium (W3C). This includes:

• establishing connections and sessions between peers
• making video calls
• making audio calls
• instant messaging
• file-sharing
• security and privacy issues

We started with documents on the Web. Then we realized we could share data using the same technologies. And then services. Concepts were next to help us organize all of this information. And now, we want Things on the Internet and Web too. Fortunately, we already have much of the infrastructure to welcome all of these new physical information producers and consumers to the party.

This talk will be a high level overview of how the Internet of Everything scales to accept entire new classes of devices and how we make sense of it all. We will also look toward the future of where we are going next.

Inspired by success stories from companies such as Amazon and Netflix, many organizations are moving towards microservice architectures at a brisk pace. This session provides a thorough overview of the pros and cons for microservice architectures, when it is applicable, and some nascent best practices.

Microservice architecture is important because it’s the first architecture to fully embrace the Continuous Delivery and DevOps revolutions. In this session, I cover the motivations for building a microservice architecture (including making the distinction between “regular SOA” and microservices), some considerations you must make before starting (such as transactions versus eventual consistency), how to determine service partition boundaries, and ten tips to dowse you towards success. I also discuss the role of polyglot development, enterprise governance, how data and databases fit into this new world, and tooling to help ensure consistency between core services like logging and monitoring. This session provides a thorough overview of the pros and cons for microservice architectures, when it is applicable, and some nascent best practices.

Big up front design is discouraged in agile development. However, we know that architecture plays a significant part in software systems. Evolving architecture during the development of an application seems to be a risky business.

In this presentation we will discuss the reasons to evolve the architecture, some of the core principles that can help us develop in such a manner, and the ways to minimize the risk and succeed in creating a practical and useful architecture.

Creating code is easy, creating good code takes a lot of time, effort, discipline, and commitment. The code we create are truly the manifestations of our designs. Creating a lightweight design can help make the code more extensible and reusable.

In this presentation we will take an example oriented approach to look at some core design principles that can help us create better design and more maintainable code.

Before spending substantial effort in refactoring or altering design, it would be prudent to evaluate the current quality of design. This can help us decide if we should proceed with refactoring effort or a particular alteration of design. Furthermore, after evolving a design, using some design metrics would help us to evaluate if we have improved on the design front.

In this workshop we will learn about some critical qualities of design and how to measure those. We will learn about these by working through some example code, refactoring it, and evaluating the design again at each stage of refactoring.

Workshop Requirements

-Java 8 JDK or later version
-Your favorite IDE (Preferably IntelliJ IDEA Community Edition)
-git

Before spending substantial effort in refactoring or altering design, it would be prudent to evaluate the current quality of design. This can help us decide if we should proceed with refactoring effort or a particular alteration of design. Furthermore, after evolving a design, using some design metrics would help us to evaluate if we have improved on the design front.

In this workshop we will learn about some critical qualities of design and how to measure those. We will learn about these by working through some example code, refactoring it, and evaluating the design again at each stage of refactoring.

Workshop Requirements

-Java 8 JDK or later version
-Your favorite IDE (Preferably IntelliJ IDEA Community Edition)
-git

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

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

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

Functional programming is receiving much attention recently. Most mainstream languages, including C++, Java, and C# now support lambda expressions and functional style. Why is there a sudden interest in adapting something that was largely ignored for decades? What are the technical reasons, how do we benefit, in what ways can using these techniques make our applications better and our development efforts easier as well?

In this technical presentation we will learn about the technical underpinnings of functional programming, the fundamental problems they address, and the large impact of those on application development