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.

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

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

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

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

Building and running container images isn’t enough. There are very real problems that we still have to solve:

• how do we schedule and run these containers on infrastructure?
• how do we create networks that can link these containers across multiple hosts?
• how do we handle data that needs to persist across container restarts?
• how do we handle concerns like service discovery and load balancing?

These concerns are the focus of much of the development work being done in the Docker ecosystem today.

We’ll examine the use of several projects and how they contribute to solutions to these problems, including:

• Kubernetes by Google
• Apache Mesos
• Cloud Foundry Diego
• Cloud Foundry BOSH
• Weave
• CoreOS
• The Hashicorp family of projects

Visibility is one of the primary characteristics of applications that aren’t just coded well, but run well in production. We need visibility to understand:

• how our system performs
• how our system misbehaves
• how our system fails
• how our users interact with our system
• what’s providing value to users and what’s not
• and more!

In this talk we’ll look at the three disciplines of monitoring, metrics, and logging, and see how properly used, they can dramatically increase our system’s inherent visibility.

Topics will include:

• what metrics should we collect?
• how should we expose those metrics?
• can frameworks help?
• what should we monitor?
• monitoring components vs. systems
• building dashboards
• the art of logging
• log aggregation and analysis
• tools, tools, tools, tools!

Microservice architectures place great emphasis on autonomous product teams that develop and deploy equally autonomous services using decentralized release management, testing, and deployment strategies. I don’t have to wait on you to deploy my service, and you don’t have to wait on me. And yet the complexity associated with managing these large, distributed systems seems like it would demand even greater discipline and centralized coordination of testing activities. Fortunately, while greater discipline is in fact required, we don’t require the centralized coordination that would seem to destroy many of the benefits of embracing microservices. In this session will examine principles and practices that will help us develop an effective testing strategy for microservices.

Topics will include:

• who moved my trust boundary?
• expressing API’s as versioned contracts
• what’s in a contract? the good, the bad, and the ugly
• leveraging consumer-driven contracts
• exploratory testing for risk discovery
• recovery OVER prevention
• dogfooding

Modern applications are changing as we embrace the engineering practices associated with Continuous Delivery and DevOps, migrate our applications to modern cloud platforms, elastically scale applications with the dynamics of customer demand, and embrace microservices architectures. The Twelve-Factor App is a collection of application development patterns developed by Heroku engineers that aim to support these types of architectural and cultural change.

The 12 Factors are:

1. One codebase tracked in revision control, many deploys
2. Explicitly declare and isolate dependencies
3. Store config in the environment
4. Treat backing services as attached resources
5. Strictly separate build and run stages
6. Execute the app as one or more stateless processes
7. Export services via port binding
8. Scale out via the process model
9. Maximize robustness with fast startup and graceful shutdown
10. Keep development, staging, and production as similar as possible
11. Treat logs as event streams
12. Run admin/management tasks as one-off processes

We’ll examine how to implement these factors using JVM “microframeworks” like Spring Boot and Dropwizard.

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.

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.

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.

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

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

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

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

What if I told you that configuration was optional?

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

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.

Scala for Java Developers is a full live code and fast paced presentation and workshop (laptops optional), and this is all about the Scala language.

Scala is a wonderful functional/hybrid language. It will become one of the 5 languages that you will need to know to be a highly successful JVM developer in the very near future (others being Groovy, Clojure, Java 8, and JRuby). Scala, as opposed to some of the other languages, has quite a learning curve. This presentation was built for questions. We will start with some basics, how this presentation will flow and end will be up to you, the audience. Bring your intellect, curiosity, and your questions, and get ready for some Scala. Laptops optional so you can try stuff out on your machine and create questions of your own!

Workshop Requirements

Some things will be required if you to participate in the workshop

• A modern JDK installation. JDK 1.8+ 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.

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 Scala 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. But it is preferred to do the installation before the event.

For MacOSX:

• Download brew package manager at http://brew.sh
• At a console type: brew install scala

For Windows

• Visit http://scala-lang.org/download
• Download the .msi package
• Install the .msi package

For Linux

• Download the tar.gz package
• Extract the package to your favorite directory
• Export SCALA_HOME to your Scala directory (scala-2.11.x)
• Add to your PATH: $SCALA_HOME/bin

You may also 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. You can either download the complete Scala IDE which includes the complete Eclipse download. You can also download the plugin. 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. Scala-IDE is also available at the Eclipse Marketplace, although I would recommend getting the latest instructions from scala-ide.org

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

VSCode - Download the “Scala Language Plugin” from the plugins within VSCode.

That is it. Hope to see you soon.

Scala for Java Developers is a full live code and fast-paced presentation and workshop (laptops optional), and this is all about the Scala language. This is Part 2, continuing where we left off from Part 1.

Scala is a wonderful functional/hybrid language. It will become one of the 5 languages that you will need to know to be a highly successful JVM developer in the very near future (others being Groovy, Clojure, Java 8, and JRuby). Scala, as opposed to some of the other languages, has quite a learning curve. This presentation was built for questions. We will start with some basics, how this presentation will flow and end will be up to you, the audience. Bring your intellect, curiosity, and your questions, and get ready for some Scala.

Workshop Requirements

Some things will be required if you to participate in the workshop

• A modern JDK installation. JDK 1.8+ 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.

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 Scala 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. But it is preferred to do the installation before the event.

For MacOSX:

• Download brew package manager at http://brew.sh
• At a console type: brew install scala

For Windows

• Visit http://scala-lang.org/download
• Download the .msi package
• Install the .msi package

For Linux

• Download the tar.gz package
• Extract the package to your favorite directory
• Export SCALA_HOME to your Scala directory (scala-2.11.x)
• Add to your PATH: $SCALA_HOME/bin

You may also 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. You can either download the complete Scala IDE which includes the complete Eclipse download. You can also download the plugin. 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. Scala-IDE is also available at the Eclipse Marketplace, although I would recommend getting the latest instructions from scala-ide.org

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

VSCode - Download the “Scala Language Plugin” from the plugins within VSCode.

That is it. Hope to see you soon.

Being a professional software engineer, it's easy to fall into the belief that one's role in a company is to write code.
Another perspective might be that one's role is to solve problems for the business and that writing code is merely one of several tools available to help solve those problems.

There are numerous problem-solving “anti-patterns” that are rampant in the industry today. “Forewarned is forearmed” as they say. In addition to highlighting these “anti-patterns” with real-life examples and the (sometimes) disastrous consequences, Michael asks some of the difficult questions about our true motivations for our decisions and how our decisions can either positively or negatively affect our team and our organization.

We all have an innate sense of what's possible. Not only is this how magicians fool you, but it might also be what's holding you back.

In this session Michael Carducci shares how he applied lessons learned in his career as a professional magician to his “day-job” as a software engineer.

Magicians have a simple process for creating new material; think of the most impossible thing you can imagine, the engineer a way to make it possible. Michael has been engineering solutions to “impossible” problems for nearly 20 years and this has given him a unique perspective on dealing with challenges in all aspects of his life.

This talk combines illusion, anecdotes and real-world examples to help identify and overcome your mental obstacles.

Despite our best efforts with Agile best practices – CI, unit testing, design reviews, code reviews – every few years we end up rewriting our software.

This talk is about my personal experiences with project failure, improvement failure, patterns across the industry, and the key lessons that were critical to success. I had a great team. We were disciplined with best practices and spent tons of time working on improvements. Yet still, I watched my team slam into a brick wall. We brought down production three times in a row, then couldn't ship again for another year.

We thought our problems were caused by technical debt building up in the code base, but we were wrong. We failed to improve, because we didn't solve the right problems. Eventually, we turned our project around, but with a lot of tough lessons along the way.

When I started consulting, I saw the same patterns across the industry:

Our problems are invisible. They're hard to measure, hard to explain. We rely primary on gut feel to make improvement decisions, and it's really easy to make improvements that don't make much difference.

The relentless business pressure never lets up, and developers don't have control. Without visibility, management makes ill-informed decisions, train-wrecks our projects, and drives the development team to exhaustion.

I turned the lessons I learned into the Idea Flow Learning Framework, a data-driven feedback loop for guiding improvements. By quantifying the impact of disruptions, test maintenance, confusing code, and collaboration problems, we can find our biggest problems, understand the causes, and align our development priorities with leadership.

This is my story of lessons learned on why improvement efforts fail… I had a great team. We were disciplined about best practices and spent tons of time on improvements. Then I watched my team slam into a brick wall. We brought down production three times in a row, then couldn’t ship again for a year.

Despite our best efforts with CI, unit testing, design reviews, and code reviews, we lost our ability to understand the system. We thought our problems were caused by technical debt building up in the code base, but we were wrong. We failed to improve, because we didn’t solve the right problems. Eventually, we turned our project around, but with a lot of tough lessons along the way.

In this talk, we'll go through a deep-dive case study that starts with project failure, then revisit all the mistakes we made over a 3 year journey to turn the project around. We'll discuss bad assumptions, strategies that failed, ideas that changed, techniques and tools that changed, and how we eventually learned our way to victory.

After reviewing each mistake, we'll have a group discussion about the underlying reasons, so you can avoid these mistakes on your own project.

This two-session workshop will cover everything from messaging basics to advanced messaging techniques leveraging Enterprise Integration Patterns. In addition, the workshop will include hands-on exercises using Apache ActiveMQ and Camel.

Agenda

Environment Setup

• ActiveMQ Installation
• JMeter Test Harness
• Asynchronous Hello World!

Messaging Foundation

• Conceptual Model
• Domains (P2P & Pub-Sub)
• Protocals (JMS & AMQP)
• Broker Configuration
• Exercises

Network Topologies

• Persistance
• Security
• High Availability
• Disaster Recovery

Advanced Messaging

• Enterprise Integration Patterns
• Camel Configuration
• Development
• Exercises

Workshop Requirements

• Laptop
• JDK 1.8+
• Maven 3.3+
• Developer Text Editor (e.g. Sublime) or IDE (e.g. IntelliJ)

Download Prior to Workshop:

• ActiveMQ – Version 5.13.2+
• hawtio – Version:1.4.54+

This two-session workshop will cover everything from messaging basics to advanced messaging techniques leveraging Enterprise Integration Patterns. In addition, the workshop will include hands-on exercises using Apache ActiveMQ and Camel.

Agenda

Environment Setup

• ActiveMQ Installation
• JMeter Test Harness
• Asynchronous Hello World!

Messaging Foundation

• Conceptual Model
• Domains (P2P & Pub-Sub)
• Protocals (JMS & AMQP)
• Broker Configuration
• Exercises

Network Topologies

• Persistance
• Security
• High Availability
• Disaster Recovery

Advanced Messaging

• Enterprise Integration Patterns
• Camel Configuration
• Development
• Exercises

Workshop Requirements

• Laptop
• JDK 1.8+
• Maven 3.3+
• Developer Text Editor (e.g. Sublime) or IDE (e.g. IntelliJ)

Download Prior to Workshop:

• ActiveMQ – Version 5.13.2+
• hawtio – Version:1.4.54+

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.

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

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

Take a look at your codebase. Go ahead, this abstract will wait. Notice anything? Perhaps a few more lines of JavaScript than years past? JavaScript is no longer an outlier, a language for the interns, something we can just mash together. Today, JavaScript is a first class citizen. As such, we need to treat it will all the care and feeding we extend our server side languages. This talk will introduce you to a set of tools that will help you write bulletproof JavaScript.

Step one, make sure we aren't making any basic mistakes like using == when we really mean ===. To remedy these types of bugs, we'll leverage JSHint to statically analyze our code. In addition to walking through the setup, we'll discuss how to ratchet up the rules as you improve your codebase. Just like Java or C#, we also need to test our JavaScript code. We'll introduce Jasmine, a BDD style testing tool as well as other tools that make help in the testing process. Last but not least, we'll take a tour of Plato, a JavaScript source code visualizer. Taken together, these tools can go a long way to improve your JavaScript code.

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.

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 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

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.

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

The technology space is a lot like the ocean - miss one wave and another will come along shortly; most shiny new things begin with a sizable amount of hype as everyone rushes to play with the new toy. This cycle is often met with a level of disappointment as we quickly discover our new bauble isn't all that and a bag of chips so we rush off to the next best thing ever.

A few short years ago, HTML5 was the new hotness but at the time browser support was spotty at best. Despite the spotlight moving on to something else, browser support has improved markedly and we even have new toys to play with! In this workshop, we will walk you through what is possible in today's browser as well as what other new features you might not be aware of. HTML5 may no longer qualify as bleeding edge, but it is still deserving of our attention.

Workshop Requirements

For this workshop you should have:

• Laptop (optionally with git installed)
• Text editor or IDE
• One or more “modern” (Chrome, Safari, etc) browser

Before the workshop, take a minute to setup the code somewhere on your laptop. The code is on GitHub:

https://github.com/ntschutta/html5_workshop

You can clone the repo from there or simply download a zip if you prefer. That's it!

React is a popular UI framework born from Facebook and while it is used in a variety of web projects, it can be leveraged to build native iOS applications. React Native brings the ubiquity of JavaScript to native application development allowing us to “learn once, write anywhere.”

In this talk, I will help you get started with popular library.

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

In this session you will learn to strategically introduce technology innovations by applying specific change patterns to groups of individuals. Using these patterns and related techniques will not only benefit your organization but will ultimately benefit your career as a technologist by making you a better influencer, writer, and speaker.

The rapid pace of technological innovation has enabled many organizations to dramatically increase productivity while at the same time decrease their overall headcount. However, the vacillating global economy combined with “change fatigue” within organizations has resulted in a risk averse culture. In such an environment how can one possibly introduce and inculcate the latest technology or process within an organization? The answer is to have a solid understanding of Diffusion Theory and to leverage Patterns of Change.

Prezi Location: http://prezi.com/b85wwmw7hccn

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

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

Topics in this session will include an in-depth discussion of fragments, as well as services, notifications, and the action bar.

Fragments are fundamental to Android applications, but their implementation can get complicated. We'll look at simple ones, like the preferences fragment, then move to dialogs, and finally a complete summary/detail flow.

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.

Using the Microservices Architectural Style to incrementally adopt an Event-driven Architecture (EDA) lowers up-front costs while decreasing time-to-market. EDA extracts value from existing occurrences, limiting invasive refactoring or disrupting existing application development efforts. Implementing Event-driven Microservices yields intelligence, scalable, extensible, reactive endpoints.

This session will cover the fundamentals, patterns, techniques and pitfalls of Event-driven Microservices with several demos leveraging Spring-Boot, Camel, ActiveMQ and Docker.

This 2015 presentation covers the Guava library developed by Google. 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/or dynamic language competitors like Scala, Ruby, and Clojure. Why a brand spanking new 2015 version of this presentation? Well, there more new stuff to learn and use!

This presentation covers briefly on the tried and true stuff like functions, predicates and how they interact with Java 8. It covers how to use new collection constructs that make life easier, including MultiMap, BiMaps, and MultiSets, immutable collections, handling Futures with callbacks and shutdowns, caches, and then we will dwell on tons of the newer features that came with Releases 16, 17, and 18.

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

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

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

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

Are you getting optimal performance from your database? Do you secretly wonder if your my.cnf is even close to tuned for your hardware and workload?
In part 1 we embark on a deep dive into DB Design, Indexes, query tuning and configuration.

Learn the tools and techniques to make good design decisions to maximize performance. How to interpret query plans and benchmark and tune your queries. Leave with a deeper understanding of all the various configuration options available and how each affects performance.

Unlock your latent photographic memory. In this session you'll learn failsafe techniques and systems that allow you to never forget names, appointments, or numbers. In the process you'll be more effective and imaginative at work; improve reading speed and comprehension, and shorten study times.

An improved memory will change your life, literally. In the session we will describe in detail several memory techniques that, with a little practice, will have you remembering virtually anything you want.

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.

In nature, clouds are little more than collections of moisture. They might be interesting to look at, but until they drop that moisture in the form of rain, they're of very little practical use. Similarly, in software, clouds are collectors and processors of data. The cloud's value is felt when it rains data down on client applications.

In this session, we'll look at how to build both sides of cloud applications, in the cloud and in your hands, that work together to achieve functionality goals. Specifically, we'll use Spring Boot and Spring Cloud to build the in-the-cloud functionality and Polymer web components on the client side (although the principals presented will apply to any technology stack).

Are you getting optimal performance from your database? Do you secretly wonder if your my.cnf is even close to tuned for your hardware and workload?
In part 1 we embark on a deep dive into DB Design, Indexes, query tuning and configuration.

Learn the tools and techniques to make good design decisions to maximize performance. How to interpret query plans and benchmark and tune your queries. Leave with a deeper understanding of all the various configuration options available and how each affects performance.

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.

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

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

With the advent of microservice and cloud-native application architectures, building distributed systems is becoming increasingly common for the enterprise Java developer. Fortunately many of the innovators in the space, including Twitter, LinkedIn, and Netflix, have embraced the JVM as they’ve built increasingly complex systems, with Netflix open-sourcing much of its toolkit for constructing these systems at NetflixOSS.

Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Many of these patterns are provided via wrapping the battle-tested components found at NetflixOSS.

Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns. They will work well in any distributed environment, including the developer's own laptop, bare metal data centres, and managed platforms such as Cloud Foundry.

Patterns and implementations we’ll examine include:

• configuration management
• service discovery
• circuit breakers
• intelligent routing
• micro-proxy
• control bus
• one-time tokens
• global locks
• leadership election
• distributed sessions
• cluster state

What is fragile? Fragile things are easily broken, damaged, or destroyed. When faced with stressors, they crumble. Then what is the opposite of that? Many of us would answer something like “robust” or “resilient.” Things that maintain their integrity when faced with stressors. But it’s possible that we’re wrong.

In his book Antifragile, Nassim Nicholas Taleb challenges this idea by inventing the word that forms the book’s title. Antifragile is the true opposite of fragile. Whereas fragile things are easily broken, damaged, or destroyed when faced with stressors, antifragile things improve, become stronger, or become more powerful when faced with stressors.

Can we build software systems like this? Dick Gabriel explores the idea of ultra-large scale systems that self-regulate (and in fact thrive) in the face of unexpected changes and stressors in his essay “Design Beyond Human Abilities,” and Russ Miles explicitly calls out the idea of Antifragile Software in his book by the same name. During this session we’ll explore these ideas and what they mean to us as developers and architects.

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.

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

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

It seems like all we talk about these days is making our architectures more modular. Buy why? In this session I will discuss the drivers and reasons why it is essential to move towards a level of modularity in our architectures. I will discuss and show real-world use cases of distributed modular architectures (specifically microservices and service-based architecture), and then discuss in detail the core differences between microservices and service-based architecture and when you should consider each. I'll end the talk by discussing the most effective way of migrating to modular distributed architectures.

Agenda:

• Drivers for modularity
• Modular distributed architectures
• Microservices vs. service-based architecture
• The move towards modularity

Many of you may have an architect title, take on the role of an architect, or even aspire to be an architect, but are you thinking like an architect? Architectural thinking is learning to look at a problem or task from an architect's point of view. In this session we will look at many facets of architectural thinking, including how requirements shape the architecture, component-based thinking, how to make architecture decisions, and what feasibility and vitality means to an architect.

Agenda:

• expectations of an architect
• technical breadth vs. depth
• how requirements shape the architecture
• making architecture decisions
• component-based thinking

Just as developers use design patterns in software development, architects use well-defined architecture patterns to get a head start on defining the characteristics and shape of the architecture for a system. In this session we will explore some of the more common architecture patterns and use concrete real-world examples to demonstrate how the patterns work. I will also go over the pros and cons of each pattern and discuss how requirements and operational aspects can drive which patterns to use. Using the right architecture pattern for your system is critical, because as we all know, once in place the architecture is very hard to change.

Agenda:

• Why use architecture patterns?
• Layered Architecture Patten
• Event Driven Architecture Pattern
• Microkernel Architecture Pattern
• Space-based Architecture Pattern

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.

No matter the techniques used to make enterprise solutions Highly Available (HA), failure is inevitable at some point. Resiliency refers to how quickly a system reacts to and recovers from such failures. This presentation discusses various architectural resiliency techniques and patterns that help increase Mean Time to Failure (MTTF), also known as Fault Tolerance, and decrease Mean Time to Recovery (MTTR).

Failure of Highly Available (HA) enterprise solutions is inevitable. However, in today's highly interconnected global economy, uptime is crucial. The impact of downtime is amplified when considering Service Level Agreement (SLA) penalties and lost revenue. Even more damaging is the harm to an organization's reputation as frustrated customers express their grievances on social media. Resiliency, often overlooked in favor of availability, is essential. Prezi Presentation

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.

As Tech Leaders, we are presented with problems and work to find a way to solve them, usually through technology. In my opinion this is what makes this industry so much fun. Let's face it - we all love challenges. Sometimes, however, the problems we have to solve are hard - really hard. So how do you go about solving really hard problems? That's what this session is about - Heuristics, the art of problem solving. In this session you will learn how to approach problems and also learn techniques for solving them effectively. So put on your thinking cap and get ready to solve some easy, fun, and hard problems.

Agenda:

• the checklist
• visual representations
• you know what happens when you assume…
• you gotta start somewhere
• the world is flat
• hey! keep it clean!
• perception can be reality

Take control of your knowledge portfolio and be in demand! Your command of the top JVM languages; Java 8, Groovy, Scala, JRuby, and Clojure; will set you apart from the rest. This presentation will introduce each of these languages, highlight common ground, and show some stark differences.

This presentation will cover:

• How to install each of the JVM languages
• Describe the “functionality” of each of the languages
• Expressiveness vs. Terseness of each language
• How each language handles mutability
• How each language handles concurrency
• Amazing tricks of each language
• Comparison of language typing
• Comparison and contrast of language performance
• Each language's killer app
• Analysis of the language culture and where to get help?
• Tips on how to start learning and keep learning with a busy schedule

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

What does “better” really mean? If we eliminate duplication, is the code better? If we decide to skip the unit tests, are we doing worse? How do we decide if one design is better than another design?

In this talk, I'll introduce the Idea Flow Learning Framework, a data-driven feedback loop for improving your software development skills. By measuring the “friction” that occurs when developers interact with the code, we can identify the biggest causes of friction and systematically optimize developer experience.

With an unambiguous definition of “better” and objective feedback to learn what works, we can learn our way to better despite the vast world of gray.

About 8 years ago, my project failed, despite “doing all the right things”, and shattered my faith in best practices. Since then, I've learned to measure developer experience as an objective measure of improvement, and I've been codifying the art of “better” into patterns and decision principles for years.

Why go to all this trouble? From my experience, the biggest causes of pain are seldom what we think. When we try to make things “better”, we can easily miss our biggest problems, or inadvertently make things worse. Visibility turned my beliefs about “better” upside-down.

In this talk, we'll cover the three stages of mastery at the core of the learning framework:

• Visibility - Learn to see the pain
• Clarity - Understand the causes of pain
• Awareness - Learn to avoid the pain

By making the pain visible and iteratively learning what works, we can master the art of software development.

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 won't be moulding our own Lego bricks, but we will see how relatively new specifications combine to enable custom HTML elements to do anything we want them to do. We'll also have a look at some libraries built on top of Web Components make it easier than ever to build epic web clients.

HTML tags are like Lego pieces. Lego bricks come in many different shapes and colors and by piecing the right parts together, you can create some amazing things. But if you've ever tried to build anything significant with Legos, you've probably wished for some piece that doesn't exist. If only there was some way to craft your own Lego pieces to fit your imagination, you could make an epic creation. You have no choice but to work with the bricks you have.

Likewise, HTML defines several tags to address many needs for building web applications. But at some point there's going to be that one tag that you need that doesn't exist. If only there were some way to define your own HTML tags, you could build an epic web client. Unfortunately, you have no choice but to work with the tags HTML offers.

In this session, we won't be moulding our own Lego bricks, but we will see how relatively new specifications combine to enable custom HTML elements to do anything we want them to do. We'll also have a look at some libraries built on top of Web Components make it easier than ever to build epic web clients.

HTML tags are like Lego pieces. Lego bricks come in many different shapes and colors and by piecing the right parts together, you can create some amazing things. But if you've ever tried to build anything significant with Legos, you've probably wished for some piece that doesn't exist. If only there was some way to craft your own Lego pieces to fit your imagination, you could make an epic creation. You have no choice but to work with the bricks you have.

Likewise, HTML defines several tags to address many needs for building web applications. But at some point there's going to be that one tag that you need that doesn't exist. If only there were some way to define your own HTML tags, you could build an epic web client. Unfortunately, you have no choice but to work with the tags HTML offers.

Being a professional software engineer, it's easy to fall into the belief that one's role in a company is to write code.
Another perspective might be that one's role is to solve problems for the business and that writing code is merely one of several tools available to help solve those problems.

There are numerous problem-solving “anti-patterns” that are rampant in the industry today. “Forewarned is forearmed” as they say. In addition to highlighting these “anti-patterns” with real-life examples and the (sometimes) disastrous consequences, Michael asks some of the difficult questions about our true motivations for our decisions and how our decisions can either positively or negatively affect our team and our organization.

Visualizing data often requires that the visualization be updated on data changes, or in response to user input. As we know, a key strength of AngularJS is its 2-way binding and apply/digest cycle which makes keeping the view and data-model in sync painless. This makes creating dynamic visualizations with or without interactive data a breeze with Angular.

This is a 2 session series. In this first part we will look at some of the underlying constructs in D3, and AngularJS directives. The second part of this session will attempt to bring these 2 together to allow us to enable dynamic visualizations in Angular.

Visualizing data often requires that the visualization be updated on data changes, or in response to user input. As we know, a key strength of AngularJS is its 2-way binding and apply/digest cycle which makes keeping the view and data-model in sync painless. This makes creating dynamic visualizations with or without interactive data a breeze with Angular.

This is a 2 session series. In this first part we looked at some of the underlying constructs in D3, and AngularJS directives. This second part will attempt to bring these 2 together to allow us to enable dynamic visualizations in Angular.

Concourse (http://concourse.ci/) is a CI system composed of simple tools and ideas. Concourse can express entire pipelines, integrating with arbitrary resources, or it can be used to execute one-off tasks, either locally or in another CI system. Concourse attempts to reduce the risk of adoption by encouraging practices that keep your project loosely coupled to the details of your continuous integration infrastructure.

Concourse optimizes around the following principles:

• Simplicity
• Usability
• Build Isolation
• Scalable, reproducible deployments
• Flexibility
• Local iteration

During this session we'll learn the simple key concepts from which Concourse pipelines are constructed. We'll understand how to deploy a local Concourse cluster using Vagrant as well as a scalable Concourse cluster to your cloud of choice using Cloud Foundry BOSH. Finally, we'll look at basic and advanced examples of pipelines for Java projects.

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

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