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

Agenda:

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

Even though teams are gaining more experience in designing and developing microservices, nevertheless there is still a lot to learn about this highly distributed and somewhat complicated architecture style. Unfortunately, lots of microservices anti-patterns and pitfalls emerge during this learning curve. Learning about these anti-patterns and pitfalls early on can help you avoid costly mistakes during your development process. While anti-patterns are things that seem like a good idea at the time and turn out bad (see martinfowler.com/bliki/AntiPattern.html), pitfalls are those practices that are never a good idea at the time - ever. In this session I will cover some of the more common anti-patterns you will likely encounter while creating microservices, and most importantly describe some of the techniques for avoiding these anti-patterns.

Agenda

• Function-Driven Identification AntiPattern
• I Was Taught to Share AntiPattern
• The Timeout AntiPattern
• Hop on the Bus AntiPattern
• Data-Driven Migration AntiPattern

Even though teams are gaining more experience in designing and developing microservices, nevertheless there is still a lot to learn about this highly distributed and somewhat complicated architecture style. Unfortunately, lots of microservices anti-patterns and pitfalls emerge during this learning curve. Learning about these anti-patterns and pitfalls early on can help you avoid costly mistakes during your development process. While anti-patterns are things that seem like a good idea at the time and turn out bad (see martinfowler.com/bliki/AntiPattern.html), pitfalls are those practices that are never a good idea at the time - ever. In this session I will cover some of the more common pitfalls you will likely encounter while creating microservices, and most importantly describe some of the techniques for avoiding these pitfalls.

Agenda

• Grains of Sand Pitfall
• Where's the Acid Pitfall
• Logging Can Wait Pitfall
• Jump on the Bandwagon Pitfall
• Give it a Rest Pitfall

Reactive architecture patterns allow you to build self-monitoring and self-healing systems that can react to both internal and external conditions without human intervention. How would you like to design systems that can automatically grow as the business grows, automatically handle varying load (cyber Monday?), and automatically handle (and repair) internal and external errors, all without human interaction? I'll show you how to do this with your current technology stack (no special languages, tools, frameworks, or products). In this two-part session I will leverage both slides and live coding using Java and RabbitMQ to describe and demonstrate how to build reactive systems. Get ready for the future of software architecture - that you can start implementing on Monday.

Part 1 Agenda:

• Reactive systems introduction
• Channel Monitor Pattern (self-awareness)
• Consumer Supervisor Pattern (scalability and elasticity)
• Workflow Event Pattern (error handling)

Reactive architecture patterns allow you to build self-monitoring and self-healing systems that can react to both internal and external conditions without human intervention. How would you like to design systems that can automatically grow as the business grows, automatically handle varying load (cyber Monday?), and automatically handle (and repair) internal and external errors, all without human interaction? I'll show you how to do this with your current technology stack (no special languages, tools, frameworks, or products). In this two-part session I will leverage both slides and live coding using Java and RabbitMQ to describe and demonstrate how to build reactive systems. Get ready for the future of software architecture - that you can start implementing on Monday.

Part 2 Agenda

• Thread Delegate Pattern (scalability)
• Threshold Adjust Pattern (automatic configuration and self-learning)
• Producer Control Flow Pattern (self-healing)

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.

A number of developers and organizations are beginning to make use of Java 8. With anything that's new, we often learn it the hard way.

By stepping back and taking a look at programming style as idioms, we can quickly gravitate towards better coding style and also avoid some common traps that we often get drawn towards.

Sure, Java 8 has lambdas and streams. However, the JDK has gone through significant makeover to make good use of lambdas and streams. Furthermore, some of the new functional interfaces have far more than abstract methods.

In this presentation we will look beyond lambdas and streams, we will take a look at some of the fun filled, useful members of the JDK that will help us make better use of lambdas and streams.

What's in Java 9 and, more important, how does that impact us?

In this presentation we will take a look at the major features that are likely to make in to Java 9, discuss the benefits of each one of them using practical hands on examples.

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.

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.

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.

What makes software development complex isn't the code, it's the humans. The most effective way to improve our capabilities in software development is to better understand ourselves.

In this talk, I'll introduce a conceptual model for human interaction, identity, culture, communication, relationships, and learning based on the foundational model of Idea Flow. If you were to write a simulator to describe the functions of the human brain, this talk would describe the architecture. That's right – we're going to breakdown the components of human consciousness into machine models!

Learn how to understand the humans on your team and fix bugs in communication, by thinking about your teammates like code!

I'm not a scientist or a psychologist. These ideas are based on a combination of personal experience, reading lots of cognitive science books, and a couple years of running experiments on developers. As I struggled through the challenges of getting a software concept from my head to another developer's head (interpersonal Idea Flow), I learned a whole lot about humans.

As software developers, we have to work together, think together, and solve problems together to do our jobs. Code? We get it. Humans? WTF?!

Fortunately, humans are predictably irrational, predictably emotional, and predictably judgmental creatures. Of course those pesky humans will always do a few unexpected things, but once we know the algorithm for peace and harmony among humans, we can start debugging the communication problems on our team.

Many of us would love to embrace microservices in our day-to-day work. But most of us don’t have the opportunity to start over with a pure greenfield effort. We have to understand how to refactor our existing monolithic applications toward microservices. Practical steps include building new features as microservices, leveraging anti-corruption layers, strangling the monolith.

In this presentation we’ll go light on the theory and walk through the actual process of turning a strawman monolith into a family of well-factored microservices.

While rummaging through some books the other day, I came across my copy of The Pragmatic Programmer. Flipping to the copyright page, I realized that it had been 16 years since its publication. Many of our careers have been deeply affected by reading and considering the many nuggets of wisdom contained in this book, and it is near the top of multiple recommended reading lists.

In this presentation, we’ll revisit this book, and we’ll also consider what we’ve learned since its publication - what would we change? And what remains timeless?

Over the past year I’ve had the pleasure of wearing the hat of “product manager” for the Spring Cloud Services team at Pivotal, operating using a distributed variant of the Pivotal Labs process. Along the way I’ve learned many valuable lessons that I hope you’ll be able to apply to your product development efforts.

In this presentation we’ll examine the relationship of product management to engineering and to your customer, and how you can be an effective broker between the two groups.

Hypothesis and data driven development ties together current thinking about requirements, Continuous Delivery, DevOps, modern architecture, and engineering techniques to help rethink building software.

Agile development claims to abhor “Big Design Up Front”…yet what is that giant backlog building session but BDUF in other clothing? Back in the olden days of software development, we were forced to speculate on what users want, then build it. We were basically running a buffet. But what if we could switch to à la carte? With modern engineering practices like Continuous Delivery, we can shift our perspective and start building by hypothesis rather than speculation. This talk shows the full spectrum of software development, from ideation through execution and deployment, through the lens of modern software engineering practices. I discuss building a platform using feature toggles, canary releases, A/B testing, and other modern DevOps tools to allow you to run experiments to see what your users really want. By building a platform for experimentation, product development shifts from up-front guessing to market driven. This talk unifies the practices of modern architecture, DevOps, and Continuous Delivery to provide a new approach to feature development. This talk also demonstrates how to undertake major architectural restructuring with zero regression failures by relying on data and the scientific method.

How do we define identity in a distributed software system? How do we manage it securely? How do we make identity assertions and verify those claims?

Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Identity and how it cross-cuts the distributed systems we are building.

We will focus on a variety of technologies and standards that help us make, identify, claim and verify identities.

Authenticated Identities are the first step to establish Privilege. Most systems fail to have sufficiently, deeply entrenched notion of how to apply and minimize privilege to avoid data and systems from being abused.

Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Privilege and how it cross-cuts the distributed systems we are building.

This talk will focus on the Valet Key problem and how to avoid it. We will visit various standards and technologies that help us strengthen our security profiles by reducing our dependence on open-ended and unfettered access to our systems and data.

Data integration costs are well beyond what they should be for such a crucial business function. The good news is that they needn't be. By relying on integration-friendly standards and technologies that were designed to support sharing information, we can reduce these costs while increasing our business capabilities.

Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Integration and how it cross-cuts the distributed systems we are building.

We will look at how the REST Architectural style leads us to integration-friendly standards such as RDF, Linked Data, SPARQL and JSON-LD. These technologies are useful both within our firewalls and with third party partners.

Our biological world changes gracefully. Our information world changes much less so. How can we embrace the inevitable technological, procedural and schematic flux that we know is going to visit upon us at some point?

Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Evolution and how it cross-cuts the distributed systems we are building.

We will focus on strategies from the Web standards space to define information systems that embrace change and handle it with relative ease.

This will include strategies for dealing with changing technologies, changing schemas and more.

Information conveys value as it travels around our systems, resting for a time in our data stores. The value we get out of it is sometimes matched by the value others would get from it as well. We need mechanisms to protect sensitive information from prying eyes and control with whom we share it.

Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Secrecy and how it cross-cuts the distributed systems we are building.

This talk will focus on strategies from the world of encryption to keep secrets secret as we produce, store and transfer information in distributed systems. A successful strategy for doing so will rely on notions of Identity and a strong Privilege model, but we will mostly focus on specific building blocks upon which we maintain Privacy and Confidentiality.

We will also address the forces that undermine our ability to trust encryption such as bugs, design flaws and those who wish to actively undermine our need to maintain Secrecy.

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.

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.

Modern software development exhibits a curious trend: Yesterday’s Best Practice Becomes Tomorrow’s Antipattern. Why? Haven’t we learned enough about software development to avoid this trap over and over? This keynote investigates why this trend continues, and offers some advice for enduring practices.

Modern software development exhibits a curious trend: Yesterday’s Best Practice Becomes Tomorrow’s Antipattern. Why? EJB and SOA were once Best Practices, now shunned as anti-patterns. This keynote investigates why this trend continues, including increased tech stack complexity, primordial abstraction ooze, code reuse abuse, strangling dependency management, and the fundamental dynamic equilibrium of the software development ecosystem. I also investigate How to Avoid Yesterday’s Best Practice from Becoming Tomorrow’s Antipattern, including domain centric architectures, immutabile infrastructure, evolutionary architecture, incremental architectural change, and how to favor evolvability over predictability. Also includes figurative and literal dumpster fires.

“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.

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.

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.

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.

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.

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.

In Java, we've programmed with the imperative style for a few decades now. With Java 8, we can also code in Functional Style. This style has a number of benefits: code is concise, more expressive, easier to understand, and easier to make change. But, the transition from imperative to functional style is a hard journey. It's not as much an issue of getting comfortable with the syntax. It's the challenge of thinking functionally. What better way to learn that transition than taking imperative code and refactoring it to a more of a functional style.

In this presentation we will start with multiple code examples that are written in imperative style and learn how to approach and refactor to functional style. You'll learn about some APIs, some hidden functions, but more so what to look for during your own journey to functional style.

What’s a better way to learn about a library than actually building an application with it? In this all live-coding, zero powerpoint presentation, we will take up an application and build it using Angular 2.0. Along the way, we will learn about various aspects of this wonderful library, it’s capabilities, strengths, and good practices.

At the end of this session you will learned how to be hands on and create your own applications with Angular 2.

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

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

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.

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've heard the old adage “It's not what you know it's who you know.” The focus of this session is divided between ways to better connect with everyone you meet as well as ways to grow your network, help and influence people and ultimately build long-term relationships and build your reputation.

Networking isn't about selling nor it isn't about “taking.” Done properly it benefits everyone. Among the benefits are strengthening relationships; getting new perspectives and ideas; building a reputation of being knowledgable, reliable and supportive; having access to opportunities and more!

Slides available online: https://prezi.com/ck1fdbhgqwiq/?token=8f8240f753ad9ae2c50ce696657020f40a877a40fa224790652eb412ac5eb8d3

As we build distributed systems composed of microservices, we introduce new potential performance problems and failure points. As the number of nodes in our system increases, these problems rapidly amplify. In order to keep our composite systems responsive, we can apply the techniques of reactive programming. In order to keep our composite systems healthy, we can apply fault tolerance patterns like circuit breakers and bulkheads.

In this presentation we’ll examine how to leverage two popular libraries from Netflix, Hystrix and RxJava, to create reactive and fault tolerant systems.

When it comes to automated testing, there are haves and have-nots. That is those who have the discipline and those who don’t-to perform automated testing. Many have given uncountable excuses as to why JavaScript related projects can’t be automated tested. But, those are just that excuses. In this presentation, we will take a step-by-step approach to creating an application fully test driven. Instead of taking theory, we will quickly get into the nitty gritty details of automated testing through a practical example, get into a bit of complexity, and resolve our way with effective and practical testing techniques.

After this session, you will be able to automated your projects and also help convince those out there who still need convincing.

If you have ever studied a martial art, chances are you are familiar with katas: the practice of individual training exercises. Repeatedly. It may seem pointless to practice the same move again and again, the only way to improve is repetition. We can apply the same concept to learning programming languages.

Working individually or in small groups, attendees will work through a set of problems using JavaScript to solve them. Whether you are new to JavaScript or an old hand, this session will give you an opportunity to hone your craft! Bring a laptop or be prepared to make a friend.

In some organizations, architects are dismissed as people that draw box and arrow diagrams - the dreaded whiteboard architect. While we don't want to foster that stereotype, it is important for an architect to be able to construct basic architectural diagrams. An architect must also be able to separate the wheat from the chaff eliminating those models that don't help tell the story while fully leveraging those that do.

In this workshop, we'll discuss the various diagrams at our disposal. We'll walk through a case study and as we go, we'll construct a set of diagrams that will help us effectively communicate our design. We'll talk about stakeholders and who might benefit from each typ of diagram. Additionally we'll discuss how to constructively review an architectural model.

Workshop Requirements

Neither a laptop nor special software is required for this workshop though your modeling tool of choice (Spark, Visio, OmniGraffle, etc.) is welcome for the exercises. Of course paper and pencil are very effective too and frankly recommended! Feel free to work in pairs or teams. That's it! Well, and a willingness to participate!

In some organizations, architects are dismissed as people that draw box and arrow diagrams - the dreaded whiteboard architect. While we don't want to foster that stereotype, it is important for an architect to be able to construct basic architectural diagrams. An architect must also be able to separate the wheat from the chaff eliminating those models that don't help tell the story while fully leveraging those that do.

In this workshop, we'll discuss the various diagrams at our disposal. We'll walk through a case study and as we go, we'll construct a set of diagrams that will help us effectively communicate our design. We'll talk about stakeholders and who might benefit from each typ of diagram. Additionally we'll discuss how to constructively review an architectural model.

Workshop Requirements

Neither a laptop nor special software is required for this workshop though your modeling tool of choice (Spark, Visio, OmniGraffle, etc.) is welcome for the exercises. Of course paper and pencil are very effective too and frankly recommended! Feel free to work in pairs or teams. That's it! Well, and a willingness to participate!

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

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

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

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

In this session, we'll explore Spring Cloud, the extension to Spring which addresses many of the common challenges of developing cloud native applications. We'll focus primarily on Spring Cloud's support for centralized configuration, service discovery, and failover/monitoring.

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.

Microservices present new challenges to developers, however. How do you configure your microservices? How are microservices discovered? And how can you avoid a cascading failure when one microservice becomes sluggish, unresponsive, or otherwise unhealthy?

In this session, we'll look at Spring Cloud Data Flow, a cloud native programming and operating model for composable data microservices on a structured platform.

Microservices are commonly thought of as small REST-based services that are assembled to form a larger, more complete application. In reality, however, REST is only the communication mechanism which is only a implementation detail and not intrinsic to the notion of microservices.

Meanwhile, data processing and integration between various components of an application and external services is a key factor of many applications. In cloud native applications, this kind of data flow and processing is still relevant. Spring Cloud Data Flow offers a solution for data processing and integration where each step in the flow is, in fact, a microservice…but not necessarily a REST service.

In this session, we'll open the hood on Spring Boot and see how it works. Using this knowledge, we'll look at ways to optimize Spring Boot, override autoconfiguration, and create custom extensions to Spring Boot's Actuator.

Spring Boot does many wonderful things that get you well on your way to developing amazing Spring applications. But how does it tick? How can you customize it? And how can you override it's default autoconfiguration when you want something a little different?

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 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.

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 a language of such extreme popularity, JavaScript has way too many flaws. It's time for the language to finally mature, to learn from good styles of programming that has gained prevalence in other languages.

In this presentation we will learn about what's brewing, how JavaScript is changing, how that matters to programmers who heavily rely on this language.

JavaScript code really does not have to suck. We can write some of the most elegant, concise, and expressive code in JavaScript. Use functional style, create
code that's easier to understand and maintain.

Come to this presentation to pick up some idiomatic styles and better ways to write JavaScript.

Architecture doesn't exist in a vacuum, a painful lesson developers who built logically sound but operationally cumbersome architectures learned. Continuous Delivery is a process for automating the production readiness of your application every time a change occurs–to code, infrastructure, or configuration. Some architectures and practices yield code that works better in this environment. This session takes a deep dive into the intersection of the architect role and the engineering practices in Continuous Delivery.

Yesterday's best practice is tomorrow's anti-pattern. Architecture doesn't exist in a vacuum, a painful lesson developers who built logically sound but operationally cumbersome architectures learned. Continuous Delivery is a process for automating the production readiness of your application every time a change occurs–to code, infrastructure, or configuration. Some architectures and practices yield code that works better in this environment. This session takes a deep dive into the intersection of the architect role and the engineering practices in Continuous Delivery. I first set context for the information you must master before delving into the nuances of modern architectural concerns. I discuss the role of metrics to understand code, how Domain Driven Design's Bounded Context reifies in architecture, how to reduce intra-component/service coupling, the tension between coupling and cohesion, microservices architectures, and other engineering techniques.

This workshop allows you to apply techniques either against a sample codebase…or bring one of your own. Suggested exercises include using metrics to learn more about the structure of your class, how to determine how to partition a mono-lithic architecture into a service-based ond, and Architectural Katas with Devops added.

Architecture doesn't exist in a vacuum, a painful lesson developers who built logically sound but operationally cumbersome architectures learned. Continuous Delivery is a process for automating the production readiness of your application every time a change occurs–to code, infrastructure, or configuration. Some architectures and practices yield code that works better in this environment. This session takes a deep dive into the intersection of the architect role and the engineering practices in Continuous Delivery.

Yesterday's best practice is tomorrow's anti-pattern. Architecture doesn't exist in a vacuum, a painful lesson developers who built logically sound but operationally cumbersome architectures learned. Continuous Delivery is a process for automating the production readiness of your application every time a change occurs–to code, infrastructure, or configuration. Some architectures and practices yield code that works better in this environment. This session takes a deep dive into the intersection of the architect role and the engineering practices in Continuous Delivery. I first set context for the information you must master before delving into the nuances of modern architectural concerns. I discuss the role of metrics to understand code, how Domain Driven Design's Bounded Context reifies in architecture, how to reduce intra-component/service coupling, the tension between coupling and cohesion, microservices architectures, and other engineering techniques.

This workshop allows you to apply techniques either against a sample codebase…or bring one of your own. Suggested exercises include using metrics to learn more about the structure of your class, how to determine how to partition a mono-lithic architecture into a service-based ond, and Architectural Katas with Devops added.