Recently, microservices have take the development community by storm. Though a modern architectural paradigm, the underlying principles of microservices are embedded across many proven traditional architectural approaches, especially modularity. At the end of the day, microservices are just one way to the increase modularity of our software system. But there are others.

In this session we will examine several different ways to modularize large software systems. We'll start with the “modular monolith” and demonstrate how this modular monolith gives us a significant degree of architectural agility to evolve the architecture to microservices by incrementally breaking pieces of the application off and deploying them as microservices.

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

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

The way we build and deliver software is changing. We must deliver software more quickly than ever before and traditional approaches to software architecture, infrastructure and methodology do not allow us to meet demand. We’ve reached the limits of agility through process improvement alone, and further increases demand we focus on improving architecture, infrastructure, and methodology simultaneously. 12 Factor is an app development methodology for building modern apps in the modern era.

Building modern apps requires modern methods and 12 Factor is an app development methodology that helps development teams build software by emphasizing development practices that meld together modern architectural paradigms with agile practices like continuous delivery for deployment to cloud platforms. In this session, we’ll examine the 12 Factors and explore how to apply them to apps built using Java.

With Java 9, modularity will be built in to the Java platform…Finally! In this session, we explore the default Jigsaw module system and compare it to the alternative module system, OSGi, on the Java platform.

We will demonstrate the impact that Jigsaw will have on our existing applications and identify what we must do to get ready for Jigsaw. You will also see firsthand how to use the Jigsaw module system and the benefits that support for modularity on the Java platform will have on your applications.

Understand Java from a functional programming point of view. This part covers the basics of lambdas and streams, emphasizing functional programming by transforming collections using the stream approach.

Also includes method references and static and default methods in interfaces.

Functional features in Java, including parallel streams, the java.util.function package, the Optional data type, and reduction operations.

The talk also covers the new date and time package based on Joda time, as well as collectors and implementing the Collector interface.

Java SE 8 introduces many new features that can simplify your code. Using streams, lambdas, and the new Optional type all change the way we write Java. In this presentation, we'll work through a series of examples that show how to rewrite existing code from Java 7 or earlier using the new Java 8 approach.

Examples will include replacing anonymous inner classes with lambdas, switching from iterating over collections into transforming streams, using immutables wherever possible, lazy evaluation, and more.

In this example-driven presentation, you'll learn how to leverage Spring Boot to accelerate application development, enabling you to focus coding on logic that drives application requirements with little concern for code that satisfies Spring's needs.

For over a decade, Spring has sought to make enterprise Java development easier. It began by offering a lighter alternative to EJBs, but continued to to address things such as security, working with various sorts of databases, cloud-native applications, and reactive programming. And, along the way, Spring even took steps to make itself easier to use, offering Java-based and automatic component configuration. Even so, there's still a lot of near-boilerplate code required to develop Spring applications.

Enter Spring Boot. Spring Boot's primary purpose is to make Spring easier to work with. It achieves this in three ways:

• Automatic configuration : Considering what's on the runtime classpath as well as other factors, Spring Boot can automatically configure components in a Spring application context.
• Simplified dependency management : Taking advantage of transitive dependency resolution at build-time, Spring Boot offers several “starter” dependencies, focused on specific characteristics of an application, that transitively bring in libraries to enable development of those characteristics.
• Runtime insight : Spring Boot offers insight into the inner workings of a running application via REST endpoints and/or JMX MBeans to better understand what makes a running application tick.

All together, Spring Boot lets you focus on fulfilling your application's requirements without worrying about writing code that satisfies the needs of a framework.

In this session, you'll learn how to take your Spring Boot skills to the next level, applying the latest features of Spring Boot. Topics may include Spring Boot DevTools, configuration properties and profiles, customizing the Actuator, and crafting your own starters and auto-configuration.

TBD

In this session, you'll learn how to use Spring Data to rapidly develop repositories for a variety of database types, including relational (JPA and JDBC), document (Mongo), graph (Neo4j), and others (Redis, Cassandra, CouchBase, etc).

For decades, relational databases and SQL have enjoyed their position as the leading choice for data persistence. Even though many alternative database types have emerged in recent years, the relational database is still a top choice for a general purposes data store and will not likely be usurped from its position any time soon. When it comes to working with relational data, Java developers have several options.

But relational databases are not a one-size-fits-all solution. Thankfully, there are many options for data persistence, including relational, document, graph, key-value, and column-store databases, each presenting their unique way of handling data suitable for different problems.

Spring Data makes it easy to work with various databases by offering a programming model that is consistent, regardless of which type of database you're working with. And regardless of the database you're dealing with, you will find that Spring Data eliminates a lot of boilerplate code.

In this session, you'll see how to take Spring Data's automatic repository generation to a whole new level. We'll look at ways to model data and manipulate Spring Data to produce repositories and APIs that are more than just CRUD layers on top of a database.

TBD

I.flow() AI is an emotional intelligence AI that learns to respond in real-time to the pain of humans, for example, developers that are having a hard time. The I.flow() AI Platform is still in the early stages of mapping theory to concrete implementation, so in this talk we'll breakdown architecture strategy, pain metrics, pair programming buddy, supply chain flows, and the underpinning of Flow theory.

Flow is an old concept, adopted into the software world by mapping Flow from Lean manufacturing. When we map a metaphor between two different domains, our brain locks onto the isomorphisms between contexts, and “Flow” becomes stickies flowing on a whiteboard, or features flowing out to customers. It becomes difficult to see Flow any other way.

What if our object-oriented blinders led to an object-oriented notion of Flow, and there's a totally different way to look at the system? Flow, at it's core, is a paradigm shift, a metaphorical lens, that helps us see, understand, and predict the behavior of any Flow System. Better predictive models, enables AI automation like we've never had before. It's about time we started applying AI to our own problems.

This is my story of lessons learned on how to stop the crushing effects of business pressure… I was team lead with full control of our green-field project. After a year, we had continuous delivery, a beautiful clean code base, and worked directly with our customers to design the features. Then our company split in two, we were moved under different management, and I watched my project get crushed.

As a consultant, I saw the same pattern of relentless business pressure everywhere, driving one project after another into the ground. I made it my mission to help the development teams solve this problem. This is my story of lessons learned on how to transform an organization from the bottom up. I'll show you how to lead the way.

The crushing business pressure is caused by a broken feedback loop that's baked into the organization's design. In this presentation, I'll show you how to fix the broken feedback loop. Learn how to:

• Gather evidence of developer productivity loss
• Identify the key organizational changes required for success
• Make the case to management for improvement
• Partner with your manager for long-term success

If the system is broken, we need to fix the system. You can change the system by making the decision to lead.

In this session, we'll use I.flow() AI as a metaphorical lens to explore the world of philosophy.
Each one of us is on a journey to discover who we are, why we're here, and what it all means. I.flow() Emotional Intelligence AI evolved as a result of deep self-reflection, in the search for an authentic self, and the courage to live an authentic life.

“I.choose() therefore I.am()”

This session is a collection of life reflections and lessons learned, codified into diagrams and code abstractions using I.flow() AI. We'll start with the assumption that life is a video game, and humans are the AI. We'll break down models for human relationships, different ways of being in the world, and discuss the meaning of the game of life.

If you are someone that delights in a great philosophical discussion over dinner, you won't want to miss this talk.

Angular 2 is a total rewrite when compared to Angular 1.x. If you are new to Angular 2 and interested in learning to develop applications using ES6 (JavaScript), then this presentation is for you.

We will take an example oriented approach to create a fully functional front end that fetches data from the backend, displays it, allows users to edit the data, and sends back to the backend. Along the way we will learn about the different parts that make up Angular 2 applications.

JavaScript is one of the most powerful and yet perilous languages. It is arguably the most ubiquitous language, the king of the client side programming the web. The dynamic nature of the language offers many benefits, but the weak typing and lack of tooling can make changes unpredictable, that is, if we're not careful. Automated testing can greatly alleviate the pains and lead to more fruitful development.

In this presentation we will take look at the tools, but also the approach to automate the tests for JavaScript code. We will start with simple cases at first, but quickly dive into dealing with dependencies, and measuring code coverage.

In this presentation, we continue beyond the introduction to Angular 2 and look into working with directives and routes.

Learn about these features, how to use them, and how to create your own directives and manage routes.

With the explosion of new frameworks, a mountain of automation, and our applications distributed across hundreds of services in the cloud, the level of complexity in our industry is growing at an insane pace. With increased complexity comes increased costs and risks. When diagnosing unexpected behavior can take days, weeks, or sometimes months, all while our release is on the line, our projects plunge into chaos. In the invisible world of software development, how do we identify what's causing our pain? How do we escape the chaos?

Janelle Klein presents a novel approach to measuring the chaos, identifying the causes, and systematically driving improvement with a data-driven feedback loop. Rather than measuring the problems in the code, Janelle suggests measuring the “friction in Idea Flow”, the time it takes a developer to diagnose and resolve unexpected confusion, which disrupts the flow of progress during development.

With visibility of the symptoms, we can identify the cause, whether it's bad architecture, collaboration problems, or technical debt. Janelle discusses how to measure Idea Flow, why it matters, and the implications for our teams, our organizations, and our industry.

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.

Since the dawn of software development, we've struggled with a huge disconnect between the management world and the engineering world – the clash of top-down control, money, and economics, versus art, freedom, working with our friends, and bringing awesome creations to life.

Overcoming these challenges in our industry requires a huge paradigm shift – rather than building organizations as money-making machines with top-down control, our organizations need to become thinking, feeling, interconnected social organisms, where our humanity isn't boiled down to a few numbers.

How do we shift the paradigm of the organization, to bridge these two worlds together? The short answer – with the help of software.

By measuring the friction in a developer's Flow, we have a data-driven feedback loop for personal improvement. What if we measure Flow across the team? Across team dependencies? Across the organization?

What would it take to build an organizational operating system, that uses our past experience and lessons learned as the foundation for an intelligent hive mind, that helps everyone in the organization make better decisions? What if we codified our organizational ideals into the business accounting rules of the software, then sold it as the “the next big thing” in the industry?

At the end of the day, business is a game. If we take responsibility for making up the rules, we can redefine the game we wish to play. In this session, we'll discuss a potential future for our industry, where we design the organizational operating system that runs the world.

Distributed and parallel computing have been around for a while. The problem is not new, but solutions have generally been complex. Over the years several solutions have come along to ease the pain. Spark is a wonderful programming API and a tool that can ease the pain of creating distributed, high concurrent, performing code.

In this presentation we will take an example oriented approach to creating applications that make use of Spark. We will learn how to create the code to use Spark, how to configure and manage the number of threads, and how to distribute the computations.

We all have seen our share of bad code and some really good code as well. What are some of the common anti patterns that seem to be recurring over and over in code that sucks? By learning about these code smells and avoiding them, we can greatly help make our code better.

Come to this talk to learn about some common code smell and to share your experiences as well.

Cloud continues to grow in importance in even the most conservative companies’ IT strategies. Because of this, even experienced software architects must confront a new world in which many of our normal architectural assumptions no longer hold. Before we create architectures that leverage cloud infrastructure, we need to rebuild our mental model of infrastructure around the appropriate concepts and principles. The purpose of this session is to do just that.

In this session we’ll:

• tour the current cloud infrastructure landscape
• explore the key business and technology motivators for adopting cloud
• explore the unique aspects of cloud infrastructure that violate our traditional assumptions
• examine the risks associated with adopting cloud infrastructure
• navigate some of the key tradeoffs involved with cloud architecture choices
• overlay traditional architecture patterns and examine their suitability to cloud
• define a cloud native architecture that is optimized to exploit the uniqueness of the cloud environment

The learner should leave this session prepared for deeper dives into cloud native architecture patterns and migration strategies.

NOTE: We'll cover roughly 50% of the material in Part 1.

Now that we’ve been equipped with an understanding of how software architectures can exploit the unique aspects of cloud infrastructure environments, it’s time to construct a pattern catalog that can guide our decision making as we journey from concepts and principles to concrete implementations. The software industry has long been motivated by the promise of a “component marketplace” from which we can draw commodity components which can be composed via standardized mechanisms to create powerful systems. These systems are often compared to the myriad of possible creations that can be produced using Lego pieces. The power in the Lego “architecture” is found in the amazing diversity of individual pieces that are composed via a universal system of compatibility. Cloud native architectures approximate the same power via Lego-like patterns.

In this two-part series, we’ll divide the cloud native patterns into two categories:

1. Bricks - how we design cloud native services
2. Mortar - how we compose cloud native systems

In part one we’ll study “Brick Patterns” from the following categories:

• Externalized Configuration
• Externalized State
• Externalized Channels
• Runtime Reconfiguration
• Continuous Delivery via Multi-Version Concurrent Execution
• Brick Telemetry

The learner should leave this session prepared to design and implement cloud native “bricks” that can be composed via any “master builder” of cloud native solutions.

Now that we’ve been equipped with an understanding of how software architectures can exploit the unique aspects of cloud infrastructure environments, it’s time to construct a pattern catalog that can guide our decision making as we journey from concepts and principles to concrete implementations. The software industry has long been motivated by the promise of a “component marketplace” from which we can draw commodity components which can be composed via standardized mechanisms to create powerful systems. These systems are often compared to the myriad of possible creations that can be produced using Lego pieces. The power in the Lego “architecture” is found in the amazing diversity of individual pieces that are composed via a universal system of compatibility. Cloud native architectures approximate the same power via Lego-like patterns.

In this two-part series, we’ll divide the cloud native patterns into two categories:

1. Bricks - how we design cloud native services
2. Mortar - how we compose cloud native systems

In part one we’ll study “Mortar Patterns” from the following categories:

• Service Discovery
• Edge Gateways
• Fault Tolerance
• Event-Driven Systems
• Contract Management
• Integration Telemetry

The learner should leave this session prepared to compose cloud native solutions from any available collection of cloud native “bricks.”

If you’ve been following along, you’ve realized by now that cloud native architectures are fundamentally different than most traditional architectures. Most of the cloud native architectures that we can see in the wild have been built by relatively young companies that began from a zero-legacy state. Architects in more mature organizations are faced with the daunting challenge of building modern systems that exploit the unique characteristics of cloud infrastructure while simultaneously attempting to migrate legacy systems into those same environments, all the while “keeping the lights on.”

Much of the last two years of my career have been spent helping Fortune 500 companies devise cloud native migration strategies, and I’ve built a increasingly large catalog of patterns that have proven useful across multiple systems and industry verticals. In this session we’ll dive into those patterns and more, including:

• the utility of cloud native maturity models
• the cloud continuum: cloud ready, cloud friendly, cloud resilient, cloud native
• the app continuum: evolving toward distributed systems
• criteria for selecting applications to migrate
• the occasionally palatable perils of “lift and shift”
• applying the Strangler Pattern
• leveraging strategic domain-driven design: bounded contexts, context maps, and anti-corruption layers
• insulating from “irreplaceable” legacy systems of record with hexagonal architecture

The learner should leave this session with a tool belt suitable for attacking an upcoming cloud native architecture migration effort.

On the 2017 tour, I introduced the notion of “serverless” and Functions as a Service (FaaS) platforms. We understood the motivation for serverless computing, compared serverless to other cloud-native infrastructure approaches, navigated some architectural tradeoffs, and took a whirlwind tour of the Big 3 FaaS providers.

In this 2018 edition of the talk, we’ll still cover a few of the same themes to bring new folks up to speed, but we’ll also look at what’s changed in this ecosystem over the past year, take a look at new or enhanced features, offerings, runtimes, and programming models, and examine what use cases are becoming popular for serverless computing. We’ll also look at how tradeoffs have evolved, and definitely throw in a few demos.

Reactive Programming in gaining a lot of excitement. Many libraries, tools, and frameworks are beginning to make use of reactive libraries. Besides, applications dealing with big data or high frequency data can benefit from this programming paradigm. Come to this presentation to learn about what reactive programming is, what kind of problems it solves, how it solves them. We will take an example oriented approach to learning the programming model and the abstraction.

Reactive Programming
Nature of Problems
Programming API
The Reactive Programming Abstraction
Examples

It happens to us all; there are simply days where it seems impossible to get anything done. This session focuses on techniques and tips to get into the zone, stay in the zone and to protect your productivity, even in disruptive environments.

Rather than focusing on any one productivity methodology (e.g. GTD) This talk analyzes the internal and external factors that affect our productivity and offers broader strategies to get back on track.

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.

For the last several years, the JavaScript world has been awash in various Model-View-Whatever frameworks and libraries with new implementations popping up like bunnies. With the popular React library, Facebook took a different approach to developing JavaScript user interfaces by focusing on the View in MV*. This talk will get you up and running on React, a library that gives us a declarative approach to designing highly performant interactive user interfaces. We'll dive into the basics of components, JSX, the virtual DOM and more. By the end of this session you'll have a solid foundation in what React brings to the table and how it might help you on your next project.

For the last several years, the JavaScript world has been awash in various Model-View-Whatever frameworks and libraries with new implementations popping up like bunnies. With the popular React library, Facebook took a different approach to developing JavaScript user interfaces by focusing on the View in MV*. This talk will get you up and running on React, a library that gives us a declarative approach to designing highly performant interactive user interfaces. We'll dive into the basics of components, JSX, the virtual DOM and more. By the end of this session you'll have a solid foundation in what React brings to the table and how it might help you on your next project.

By the end of this conference you will have learned many new tools and technologies. The easy part is done, now for the hard part: getting the rest of the teamand managementon board with the new ideas. Easier said than done.

Whether you want to effect culture change in your organization, lead the transition toward a new technology, or are simply asking for better tools; you must first understand that having a “good idea” is just the beginning. How can you dramatically increase your odds of success?

You will learn 12 concrete strategies to build consensus within your team as well as 6 technique to dramatically increase the odds that the other person will say “Yes” to your requests.

As a professional mentalist, Michael has been a student of psychology, human behavior and the principles of influence for nearly two decades. There are universal principles of influence that neccessary to both understand and leverage if you want to be more effective leader of change in your organization.

In this session we discuss strategies for getting your team on board as well as when/how to approach management within the department and also higherup in the organization.

In Part 1, you learned the core principles of influence and persuasion. How to we take this back to the office and apply what we've learned?

We dive deep in to specific strategies to get both the team and the business on board with your ideas and solutions. We cover several realworld patterns you can follow to be more effective and more persuasive. Part 1 was conceptual, part 2 is practical.

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.

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.

Regular Expressions are an undervalued, underutilized tool in the developer toolbox. Few programming technologies have stood a comparable test of time for their capacity to improve developer productivity, to shortcut complex tasks, to reduce dependency on various libraries, and to encourage code reuse. They also help to teach patterns and improve pattern recognition, not only for code, but for programmers themselves. Competency with regexes will make you a better programmer, regardless of your choice of language or platforms. And it will impress your peers, too!

This workshop will teach you the fundamentals of writing, debugging, and testing PCREs (Perl-compatible Regular Expressions) in multiple programming languages. With hands-on examples we will cover regex syntax, metacharacters, assertions, grouping, quantifiers, greed, capturing, balanced matches, and replacing. We'll compose regexes from scratch to parse some common string formats such as URLs, email addresses, and even JSON. Given enough time, we'll even learn look-around assertions, and examine some creating uses of regexes in the field of natural language processing.

“There's a new JS framework every week! There's a new JavaScript feature every week! There's a new HTML5 feature every week! We are losing our minds OMG@#$HELPUS!”

Settle down everybody. Shiny new frameworks distract you from the stability offered by the web platform: ES6 is the first major update to JavaScript since 2009, and HTML5 was 18 years in the making! More importantly, few of these innovations significantly change the architecture of web applications — we owe browser innovation and frameworks for that. But since the browser evolved in to a full-blown application runtime, we now need solid front-end architecture, and front-end architects. It's not just about JavaScript, it's about the entire browser platform. And you can't pick frameworks to simplify that platform until you understand its underpinnings.

In this workshop, we will dissect the components of a modern web client into three buckets:

1. Networking: How does data get to and from the client? We will discuss the various underlying APIs and libraries for client-server communication.
2. Rendering: How does the user interface get created and painted? We'll look at the HTML5 APIs for manipulating the DOM, and explain how various frameworks including AngularJS, React, and Polymer regard and manipulate the DOM.
3. Distribution & Maintenance: How does the resulting app get distributed and updated, either on the web or to app stores?

I'll lay the foundations to simplify the complex world of front-end tools, frameworks, and architecture. I'll share patterns to help you manage the complexity of front-end development and back-end integration for modern web clients. And I'll convince you to never again complain about how fast the world of front-end technologies is moving.

Continuous delivery is not a pipe-dream technology, reserved only for the “cool kids” at hip tech startups. Although it's not easy, many concepts are within reach of most teams. That being said, it require more than simple technology changes. Attend this session to learn the fundamental concepts of CD, how to build your CD pipeline with Gradle and Jenkins, and recommendations on tools and best practices.

No prior knowledge is assumed and this talk will start from first principles.

Part one begins with a detailed overview of what CD is (and isn't) and how to build a business case for CD. Making both the technical case and business case for CD is vital as it's necessary to get the entire organization on board with the changes required.

Part two is a deeper dive into building a continuous delivery pipeline with Gradle and Jenkins (although the broader concepts can be applied to the tooling of your choice) You'll see how easily Gradle integrates with Java and how to leverage configuration management and gradle plugins to build all of your quality gates.

If Java 8 was all about how we code, Java 9 is all about how we will build. Modularization will have the biggest impact of any change that happened in Java since its inception. In this presentation we will learn about the need for modularization, how it impacts development, the rules to follow when creating modules, and the effect it has on legacy code.

We will explore creating module, using modules, readability, exports, automatic modules, and unnamed modules.

Traditional approaches to software architecture do not address the core tenet of all agile practices - feedback! We make many of the most important architectural decisions early in the development lifecycle and fail to get accurate feedback on those decisions throughout implementation. Compounding the problem? Agile methods offer no architectural advice. This session explores several architectural practices that help increase 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.

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.

On the NFJS tour, there are questions that seem to come up again and again. One common example is “How do we determine which new tools and technologies we should focus our energy on learning?” another is “How do we stop management from forcing us to cut corners on every release so we can create better and more maintainable code?” which, after awhile becomes “How can we best convince management we need to rewrite the business application?”

There is a single metaanswer to all these questions and many others.

It begins with the understanding that what we as engineers value, and what the business values are often very different (even if the ultimate goals are the same) By being able to understand these different perspectives it's possible to begin to frame our arguments around the needs and the wants of the business. This alone will make any engineer significantly more effective.

This session picks up from where “Stop writing code and start solving problems” stops discussing what is value, how do we align the values of the business with the needs and values of the engineer.

This talk will focus on interesting features of Java 8 that go beyond the basics. Topics will include:

• the map, filter, and flatMap methods
• simple reductions
• extracting and combining streams
• using Optional as intended
• grouping and partitioning
• downstream collectors
• the java.time package
• generics in detail

Sample code will be provided to illustrate all the techniques, along with tests and a build file.

MicroServices, that's the new rage. Many companies want to split their monoliths into microservices. With every single technology, the adoption goes through cycles: we learn about it, do it wrong, learn from the mistakes (hopefully from others more than our own), and get better at using it. In this presentation we will learn about some dos and don'ts for microservices.

We will focus on principles that we should follow to effectively build microservices, things that will give us better results, and avoid issues in development and maintenance.

As a developer, your focus was squarely on the “functional requirements” aka the business capabilities your application must meet. But once you step in the architect role, you discover a world inhabited by “the ilities” otherwise known as the non functional or quality attributes of a software system. But how do we know which ilities matter and which ones don't? And much as we may want to turn every knob up to 11, many ilities are inversely related - maximize one and you by definition minimize another.

In this talk we will look at various architectural problems giving participants opportunities to try and balance non functional requirements. We'll discuss the consequences of various approaches as well as how we can best document the inevitable decisions we arrive at.

Today you can't swing a dry erase marker without hitting someone talking about “the cloud”. From the CIO to the project room, the cloud is bound to be a topic of conversation. While there is no denying the buzz worthiness of the term, you probably should take a deep breathe before declaring your entire portfolio will be cloud native by the end of the year. In this talk, I will discuss a practical way of assessing your applications and how to create a thoughtful plan to move applications to the cloud - when it makes sense.

We'll talk about what factors to consider when surveying an application, why some systems shouldn't go to the cloud and what else you need to consider beyond the basics of picking a cloud vendor. Cloud based deployments have tremendous benefits to today's organizations - but as with any new technology, it must be introduced with care.

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.

HTML5 hasn't fundamentally changed the way we build web applications — JavaScript frameworks did that. Not so with Web Components! Web Components are the most important update to HTML and the Document Object Model in recent years. They have a major impact on client-side architecture, on framework selection, and on distribution and reuse of code.

In this session, I'll explain to you the four Web Components standards, their current state, and why you should care. I'll give several examples of complex applications built in Web Components, and running in all modern browsers — including a rich mobile game.

Firebase can replace your existing database, but that isn't its main use case. Instead, it enables a live synchronized data store for all your desktop and mobile apps. With little effort, you can implement Firebase on top of your existing applications, easing the load on your own infrastructure and giving you flexibility with offline storage use cases. What's more, you don't need to write any backend code to use it.

In this session I'll explain the basics of Firebase, and how to get started with it in both new and existing applications. We'll examine the brilliance of this solution, and how it manages to be secure and schema-free, while also not requiring backend code. I'll demonstrate Firebase's zero-effort authentication alternatives, and how they can enable you to not need your own application backend at all. Finally, we'll look at an entire application build on top of Firebase, its integration patterns, and the way Firebase enables scalability without breaking the bank.

Good architects are, almost by definition, good story tellers. And while good communication skills are vital to success as an architect, so too is an ability to constructively critique an architecture. In this talk, we'll explore why reviews are important and what it takes to perform them well. Additionally, we'll talk about the importance of planning and preparation in conducting a successful review.

Good architects are, almost by definition, good story tellers. And while good communication skills are vital to success as an architect, so too is an ability to constructively critique an architecture. In this talk, we'll explore why reviews are important and what it takes to perform them well. Additionally, we'll talk about the importance of planning and preparation in conducting a successful review.

Reactive Programming is at the top of new excitements in our field. There is a lot of discussion and theory around this concept, but what does it feel to create applications using these ideas? That's the focus on this talk, and we'll use Vert.x as a vehicle.

Learn about reactive programming, how to create applications, and how Vert.x can make that an enjoyable task.

JShell, introduced in Java 9, is a great experimentation tool, useful for micro-prototyping, and trying out code snippets. In this presentation we will learn the benefits of the tool, when to use it, and how to put that to real good use during development.

In this example driven presentation we will look at writing snippets, creating functions, defining and redefining variable and methods, creating classes, and configuring the tool to meet your desired level of feedback.

Life is full of choices and the choices are full of tradeoffs. One such choice is which client side technology to use: React or Angular 2? This presentation will not decide that for you, but it will provide you with enough details so you can make that decision for your applications.

This presentation has three parts. A short introduction to React along with key capabilities and limitations. A short introduction to Angular 2 along with key key capabilities and limitations. Finally, a comparison and a list of things to consider in choosing one over the other.

Cloud continues to grow in importance in even the most conservative companies’ IT strategies. Because of this, even experienced software architects must confront a new world in which many of our normal architectural assumptions no longer hold. Before we create architectures that leverage cloud infrastructure, we need to rebuild our mental model of infrastructure around the appropriate concepts and principles. The purpose of this session is to do just that.

In this session we’ll:

• tour the current cloud infrastructure landscape
• explore the key business and technology motivators for adopting cloud
• explore the unique aspects of cloud infrastructure that violate our traditional assumptions
• examine the risks associated with adopting cloud infrastructure
• navigate some of the key tradeoffs involved with cloud architecture choices
• overlay traditional architecture patterns and examine their suitability to cloud
• define a cloud native architecture that is optimized to exploit the uniqueness of the cloud environment

The learner should leave this session prepared for deeper dives into cloud native architecture patterns and migration strategies.

NOTE: We'll cover roughly 50% of the material in Part 1. If you come to only Part 2, we'll be starting in the middle.