Part two of this workshop takes a deeper dive in application, integration, and enterprise architecture topics, including evaluating architectures via Agile ATAM, the impacts of continuous delivery on architecture, comparing architectures, SOA, SOAP, and REST, integration hubs, and enterprise architecture approaches and strategies.

The job Software Architect places in the top ten of most annual surveys of best jobs, yet no clear path exists from Developer to Architect. Why aren't there more books and training materials to fill this demand? First, software architecture is a massive multidisciplinary subject, covering many roles and responsibilities, making it difficult to teach because so much context is required for the interesting subjects. Second, it's a fast moving discipline, where entire suites of best practices become obsolete overnight.

Part two of this workshop takes a deeper dive in application, integration, and enterprise architecture topics, including evaluating architectures via Agile ATAM, the impacts of continuous delivery on architecture, comparing architectures, SOA, SOAP, and REST, integration hubs, and enterprise architecture approaches and strategies.

Agile ATAM
Continuous Delivery for architects
Applying abstraction
Comparing architectures
SOAP vs REST/ WS vs Messaging
SOA deep dive
Integration hubs
Enterprise architecture approaches
Enterprise architecture strategies

To fully leverage knowledge, you need application. Part three of this workshop uses the public domain Architectureal Katas exercise to apply learnings from the first two parts.

To fully leverage knowledge, you need application. Part three of this workshop uses the public domain Architectureal Katas exercise to apply learnings from the first two parts.

From the Architectal Katas website:

Architectural Katas are intended as a small-group (3-5 people) exercise, usually as part of a larger group (4-10 groups are ideal), each of whom is doing a different kata. A Moderator keeps track of time, assigns Katas (or allows this website to choose one randomly), and acts as the facilitator for the exercise.

Each group is given a project (in many ways, an RFP–Request For Proposal) that needs development. The project team meets for a while, discovers requirements that aren’t in the orignal proposal by asking questions of the “customer” (the Moderator), discusses technology options that could work, and sketches out a rough vision of what the solution could look like. Then, after they’ve discussed for a while, the project team must present their solution to the other project teams in the room, and answer challenges (in the form of hard-but-fair questions) from the other project teams. Once that challenge phase is done, the room votes on their results, and the next project team takes the floor.

Part 3, Architectal Katas, is an instructor-led hands-on Katas exercise.

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.

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.

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.

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.

Architectural Briefings are interactive presentations by and for architects on specific technology topics. The purpose is to empower architects to make decisions about the choice and application of tech. Note that you don't have to have “Architect” in your title to participate, this is for anybody who makes architectural decisions.

Developers make decisions all the time, and can never have enough information and support. At Cognitect, we run a weekly Architectural Briefing as a resource for the team. Everybody participates, both attending and speaking. In this talk, we will cover

• a template for Architectural Briefings
• how to develop and present an Architectural Briefing
• how to run an Architectural Briefing program in your organization

We will finish with an example briefing, showing how these ideas come together.

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

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

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

“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

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.

Go is a very interesting language, open-sourced by Google in late-2009, that takes a “less is more” (http://commandcenter.blogspot.de/2012/06/less-is-exponentially-more.html) approach to language design, but that also bakes in a powerful concurrency model.

This talk will introduce Go, delve into its distinctives, and contrast its approach with that of Java (where appropriate). We'll also write a fair amount of Go code along the way. This talk will be of particular interest to Java developers looking to add Go to their toolkits, but will also be of interest to anyone looking to learn a little bit more about Go.

Topics will include:

• Go Syntax Overview
• Why Go?
• Contrasts with Java:
• Small language features and Idioms
• Packaging and Modularity
• Object-Oriented Constructs
• Concurrency with Goroutines and Channels
• Your Go Toolchain:
• Workspace
• The “go” Build Tool
• Dependency Management
• Testing
• Editors/IDE Support

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

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!

The usage of JavaScript on the server is rising. In this session, we'll talk about all the tools and utilities that comprise a modern JavaScript application, from a server-side point of view.

The usage of JavaScript on the command line and server has exploded over the past couple of years. Node.js has become popular with development shops from startups to big corporations. With its asynchronous nature, JavaScript provides the ability to scale dramatically. Along with the ability to drive your server-side applications, there are a number of tools that help with all aspects of browser development: testing, packaging, and deployment. In this session, we'll explore these tools and show you how you can incorporate these into your environment.

JavaScript has first class support for functional programming. There are many techniques for writing code in more clear, and concise form, in JavaScript using these techniques. In this session, we'll explore these techniques and talk about how to implement them. We'll use commonly used libraries like underscore to make elegant JavaScript code.

JavaScript has first class support for functional programming. There are many techniques for writing code in more clear, and concise form, in JavaScript using these techniques. In this session, we'll explore these techniques and talk about how to implement them. We'll use commonly used libraries like underscore to make elegant JavaScript code.

In this session, we'll dig deep into the performance aspects of JavaScript and the Web Browser. Single page web applications are becoming popular very quickly, and understanding the low-level and high-level aspects of the browser platform and JavaScript runtimes embedding in them are important.

We'll cover topics such as browser pipe-lining, memory management, testing and measuring performance.

It's been almost 15 years since the Agile Manifesto was discussed, conceived and signed. That leading statement of “We are uncovering better ways of developing software ..” truly has meaning. We'll discuss current state, trends and emerging practices in the industry to see if you are working with 2001 ideas or the best that 2015 has to offer.

It's been almost 15 years since the Agile Manifesto was discussed, conceived and signed. That leading statement of “We are uncovering better ways of developing software ..” truly has meaning. We'll discuss current state, trends and emerging practices in the industry to see if you are working with 2001 ideas or the best that 2015 has to offer. We'll look into the following to see what methods and practices you should be considering to jumpstart or re-invigorate your agile efforts:

• Top methods used
• Common practices
• New supporting practices
• Blending patterns

Although Agile has proven to provide incredible benefits in software development and delivery, it is not foolproof, nor a “Silver Bullet.” Plenty of factors need to be considered before attempting this highly disciplined approach.

Learn from the mistakes other organizations have made and discover which pitfalls to avoid to ensure that your first attempt at applying an Agile approach will be met with a successful outcome. This hour-long web seminar will explore these areas and provide clear steps your team and organization should consider to provide a clear set of tools to maximize the opportunity for best results possible.

The Scaled Agile Framework (SAFe) is quickly becoming one of the leading frameworks to scaled agility within organizations of size. In this session we'll explore the foundational elements of an effective SAFe program.

The Scaled Agile Framework (SAFe) is quickly becoming one of the leading frameworks to scaled agility within organizations of size. In this session we'll explore the foundational elements of an effective SAFe program. We'll compare SAFe with some of the other scaling frameworks such as LeSS and DAD to see common themes and key considerations in any successful scaling effort. We'll discuss some commons themes in failed scaling efforts.

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 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.

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

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

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

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

Today, we all benefit from the sophistication of modern compilers and hardware, but that extra complexity can also make it difficult to reason about performance.

In this talk, we'll examine some surprising performance cases and learn how to
use profiling and benchmarking tools to better understand our modern execution environments.

Behavior-driven development (BDD) has evolved out of agile practices and is designed to make Test-driven development (TDD) more accessible and effective for teams new to agile software delivery. In recent years, BDD has grown to encompass the broader picture of agile analysis, automated acceptance testing and acceptance test-driven development (ATDD). Cucumber has been one of the popular frameworks for Behavior-Driven Development (BDD). We will explore the power of Cucumber on the and pragmatic ways to kick start your BDD and testing efforts with Cucumber.

Behavior-driven development (BDD) has evolved out of agile practices and is designed to make Test-driven development (TDD) more accessible and effective for teams new to agile software delivery. In recent years, BDD has grown to encompass the broader picture of agile analysis, automated acceptance testing and acceptance test-driven development (ATDD) . Cucumber has been one of the popular frameworks for Behavior-Driven Development (BDD) in the Ruby community. Cucumber-JVM is now available as a pure-Java implementation that now brings that same functionality to popular JVM languages Java, Scala, Groovy, Clojure, Rhino, Jython and JRuby. We will explore the power of Cucumber on the and pragmatic ways to kick start your BDD and testing efforts with Cucumber.

To write efficient SQL, you need to understand SQL execution plans. And to write efficient Java, you need to understand the JVM's execution plan.

In this talk, you'll learn how the JVM's Just-in-Time compiler analyzes Java code. Then we'll go through an example in detail to see how code optimization really works.

Unlike earlier languages, Java had a well-defined threading and memory model from the beginning. And over the years, Java gained new packages to help solve concurrency problems.

Despite this, Java concurrency is sometimes subtle and fraught with peril.

In this talk, you'll learn these subtleties. And finally, you'll learn how to handle concurrency by exploring the concepts behind java.util.concurrent and other concurrency libraries.

Early releases of Java performed poorly, but those issues largely disappeared long ago with the introduction of HotSpot. However, much of the performance advice for Java persists through hearsay from those early days.

In this talk, we'll forget the hearsay and take an objective look using benchmarking and profiling tools to find out which optimizations matter today and just as importantly those that don't.

HotSpot promises to do wonders for us by Just-in-Time (JIT) compiling the “right” code for us, but how does it makes those decisions? And, perhaps more importantly, what happens when it's wrong?

In this talk, you'll learn through real code examples just how the JVM decides to compile your code, deoptimize your code, and stop-the-world for a GC.

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.

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.

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.

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.

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.

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

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

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

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.

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

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.

At the end of the day, an architect's primary job is to communicate. Not only do we need to make sure our teams understand the design of the system well enough to implement it, we must be able to explain our decisions to an audience that isn't impressed with how many TLAs you can rattle off in one sentence. Successful architects need to seamlessly transition from in depth technical conversations to budget meetings to discussions with end users adjusting the message to fit the audience.

While oral communication is key, good architects also spend a good deal of time putting pixel to screen via email, IM and various architectural documents we're expected to create. We need to write clearly and concisely while also knowing when the best course of action is to pick up the phone or walk to someone's desk.

In this talk, we'll explore the various methods that we as architects use to communicate with our stakeholders. We'll talk about knowing our audience, being able to present as well as how to run a good meeting. We'll discuss various patterns (and antipatterns) of presenting along with some concrete advice on how to do it better. At the end of the day, our job is to tell effectively tell a story - this talk will look at ways to do that.

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

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

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

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

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

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.

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

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

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

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

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

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

Statistical modeling

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

Activity streams

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

Distributed execution

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

Result Capture

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

Validation

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

Separation of concerns

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

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

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

With generative testing:

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

There are a number of benefits to this approach:

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

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

Resources

• test.generative
• data.generators
• chapter 10 of Programming Clojure

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

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

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

Workshop Requirements

Namaste,

For those planning to attend the Scala Koans…

Welcome to Scala Koans!

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

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

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

If you want to get started with the set up:

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

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

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

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

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

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

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

That is it. Hope to see you soon.

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

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

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

Workshop Requirements

Namaste,

For those planning to attend the Scala Koans…

Welcome to Scala Koans!

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

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

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

If you want to get started with the set up:

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

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

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

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

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

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

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

That is it. Hope to see you soon.

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.

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

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

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

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

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

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

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.

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!

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.

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.

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

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

Part 1 of this workshop focuses on the many elements required to make the journey from developer to architect, covering process topics like the impact of Continuous Delivery on architecture, technical subjects like application, integration, and enterprise architecture, and soft skills. While we can't make you an architect overnight, we can start you on the journey with a map and a good compass.

The job Software Architect places in the top ten of most annual surveys of best jobs, yet no clear path exists from Developer to Architect. Why aren't there more books and training materials to fill this demand? First, software architecture is a massive multidisciplinary subject, covering many roles and responsibilities, making it difficult to teach because so much context is required for the interesting subjects. Second, it's a fast moving discipline, where entire suites of best practices become obsolete overnight.

Part 1 of this workshop focuses on the many elements required to make the journey from developer to architect, covering process topics like the impact of Continuous Delivery on architecture, technical subjects like application, integration, and enterprise architecture, and soft skills. While we can't make you an architect overnight, we can start you on the journey with a map and a good compass.

• Soft skills
• Continuous Delivery
• Understanding large codebases
• Architecture patterns
• Architecture anti-patterns
• Tooling & documentation
• Integration architecture
• Integration styles
• Introduction to enterprise architecture

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.

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.

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

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