You have some modular code with a REST API. You are on your way to Microservices. Next, you package it in a container image that others can run. Simple. Now what? Your service needs to log information, needs to scale and load balance between its clones. Your service needs environment and metadata way outside its context. What about where the service will run? Who starts it? What monitors its health? What about antifragility? Updates? Networking? Oh my.

Don't get flustered. We will explore how Kubernetes simplifies the complexity of distributed computing.

This session will help you understand the terms, architecture and the mechanics of the Kubernetes tools. You will understand how to target your applications to a seemingly complex distributed compute platform.

Prerequisite: If you are unfamiliar with Kubernetes be sure to attend: Kubernetes Koncepts (1 of 2)

Aha moments with apps in containers can be quite liberating. The mobile space is saturated with “there's an app for that”. For us, we now expect “there's a container for that”. “Write once, run anywhere” (WORA) has changed to “Package once, run anywhere” (PORA). The growing community of containers is riding up the hype curve. We will look at many ways to assemble pods using architecture patterns you already know.

Your software package delivery and installation is no longer an rpm, deb, dmg, jar, war, native executable or a run script, it is simply an image that has a common run container command.

During the presentation, we will explore some examples on Katacoda.

Prerequisite: If you are unfamiliar with Kubernetes be sure to attend: Kubernetes Koncepts

At the 2009 Agile conference, J.B.Rainsberger declared “Integration tests are a scam”. I agree. Come see some compelling reasons why consumer-driven contract testing is a much better approach. Particularly for microservices.

We will explore different testing techniques on Kubernetes, including an important one called “Consumer-Driven Contracts”.

After a brief overview of the concepts a live demonstration will show you how to:

1. set up a Pact Broker on Kubernetes
2. write a consumer that defines and publishes Pact contracts
3. deploy and run a few Spring Boot microservices on Kubernetes
4. connect microservices to a database and public data source
5. verify the consumer pacts against a producer
6. find API defects and fix them

This is the droid you are looking for. Within this droid are hundreds of rules designed to review your code for defects, hotspots and security weaknesses. Consider the resulting analysis as humble feedback from a personal advisor. The rules come from your community of peers, all designed to save your butt.

We will explore techniques on how to add these checks to your IDE, your build scripts and your build pipelines.

Too much chatter in your pull requests? See how the analysis tools teach best practices, without ego or criticism, to a spectrum of developers. As a leader see how to develop an effective code quality intern program around this technique. We will also see some techniques to use Kubernetes to obtain reports and dashboards right on your local machine and from your continuous integration pipeline.

Kafka has captured mindshare in the data records streaming market, and in this presentation, we knock on its door and see what lies behind. What is the draw? What makes it an attractive addition? How does it compare to Message Queues and other message streaming services?

We will do a thorough introduction into what is Kafka. We will also discuss Consumers, Producers, Streams. Integration with ZooKeeper, and discuss the performance aspect of using Kafka.

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

In this session we will take a look at building applications with Angular. We will build a very simple application from the ground up, and attempt to understand the approach of Angular, as well as understand some of the terminology that Angular introduces.

This session will focus on the Angular 10

TypeScript, Components, Annotations/Directives, Observables, Reactive Stores, Model-Driven forms … Oh my! Angular, much like AngularJs (1.x.x), despite being a powerful platform for building rich client side applications, comes laden with both new terminology, and a “newer” approach to writing client side code.

In this session, as we build a simple application, we will attempt to tease apart these concepts, slowly building our understanding towards how these pieces come together, and how we can leverage them to build rich client side application.

Details

• Quick overview of what Angular has to offer, how it is different from Angular 1.x
• A glance at the project we are going to build, and all the important files that angular-cli generates
• Create our first component
• Proceed with creating a component hierarchy to display all hard coded data

Along the way we will see how to use the Angular style guide to follow conventions adopted by the Angular community at large, and some ways to use the angular-cli tool.

In this session we will take a look at building applications with Angular. We will build a very simple application from the ground up, and attempt to understand the approach of Angular, as well as understand some of the terminology that Angular introduces.

This session will focus on the Angular 10

TypeScript, Components, Annotations/Directives, Observables, Reactive Stores, Model-Driven forms … Oh my! Angular, much like AngularJs (1.x.x), despite being a powerful platform for building rich client side applications, comes laden with both new terminology, and a “newer” approach to writing client side code.

In this session, as we build a simple application, we will attempt to tease apart these concepts, slowly building our understanding towards how these pieces come together, and how we can leverage them to build rich client side application.

Details

• Using in-build pipes in Angular
• Create our own pipe
• Create the necessary infrastructure to allow for HTTP Calls to the backend
• Load all the containers using Ajax
• Introduces routing, and update the homepage to navigate to these routes

Along the way we will see how to use the Angular style guide to follow conventions adopted by the Angular community at large, and some ways to use the angular-cli tool

In this session we will get acquainted with Docker. We will discuss what docker is, how to install it, and how to start using Docker. We will also explore some of the benefits of containerizing your applications.

Containers are taking over the world. Containers provide a means to have hermatic builds of your software, allowing for truly immutable testing, and delivery of your software. Docker is one of many containerization technologies, and in this session we will take a brief look at Docker and what it has to offer.

In this session we will dive deeper into Dockerfiles. We will explore the DSL that Dockerfiles provide to allow for the automation of image creation.

Dockerfiles provide a means to automate the creation of images, and consequently the containers within which our applications run. The Dockerfile, though minimal, provides us with everything we need to package our software, and enable it to run. In this session we will dive deep into the Docker DSL, and explore the many commands that it provides, and along the way explore some differences between similar commands, and some gotchas.

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.

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.

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.

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.

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.

This talk covers the concurrency and parallelization options in Java 8 and above. Topics include: the difference between concurrency and parallelization, the stream model in Java, using parallel streams, measuring performance, the CompletableFuture class, coordinating futures, and more.

We'll also cover how to configure the number of threads in the common pool, how to use a separate thread pool, running with an executor service, and under what conditions parallelization helps in Java.

Machine Learning is a huge, deep field. Come get a head start on how you can learn about how machines learn.

This talk will be an overview of the Machine Learning field. We’ll cover the various tools and techniques that are available to you to solve complex, data-driven problems. We’ll walk through the algorithms and apply them to some real but accessible problems so you can see them at work.

Documents contain a lot of information. We'll introduce you to a variety of techniques to extract them.

Machine Learning techniques are useful for analyzing numeric data, but they can also be useful for classifying text, extracting content and more. We will discuss a variety of open source tools for extracting the content, identifying elements and structure and analyzing the text can be used in distributed, microservice-friendly ways.

This open source machine learning framework from Google has taken off. Come learn what you can do with it in your own organization.

TensorFlow is a powerful data flow-oriented machine learning framework developed by Google's Brain Team. It was designed to be easy to use and widely applicable on both numeric, neural network-oriented problems as well as other domains. We'll cover the over view as well as apply it to several fun, realistic problems.

What happens if web applications got really fast?

We are increasingly able to do more in the browser because of faster networks, optimized JavaScript engines, new standard APIs and more. There is a new initiative to allow a binary format called WebAssembly that will provide a compiled, cross-platform representation that will take us to the next level. Complex business applications and 3D video games will alike will benefit from this new standard. Come hear about what it can do for you.

For the last 20-30 years, there has been a never-ending set of solutions for building cross-platform desktop applications. Most of them suck. Electron is one that doesn't.

It is a new solution that forms the basis of the Atom Editor, Microsoft's Visual Studio Code, the Slack app and more.

Come see what happens when you combine the best of the Web, Node.js and Chromium to provide attractive, modern, flexible, useful, consistent cross-platform desktop applications.

Electron grew out of the work on the Atom Editor from GitHub. Developers familiar with JavaScript, Node and Web Development will be comfortable with an engine that uses the same technologies as they move to the Desktop. At the same time, the Chromium engine, which has support for modern technologies such as WebGL, WebRTC and desktop-integration hooks, as well as HTML 5 and CSS, rounds out the platform. The strength of the Web mixed with native desktop integration hooks and the performance and flexibility of Node strikes the right balance for avoiding sucky cross-platform applications.

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.

With the advancement of AI, the paradigm shift of blockchain, the media war for the Internet, and escalating emotion, it's time to explore brand new territory – using software as a metaphor to construct a functional model of the human mind. Imagine your brain's logic is written in code. You fire up the debugger, set a breakpoint in the “Self” class, and inspect your brain's internal state. What are the state variables? What does the code look like? How do we fix the bugs?

I.flow() is a theory of consciousness that models motivation behavior of humans using software as a metaphor, because… why not? From the origin of gut feel reasoning, to the feedback loops that drive you, we'll breakdown the functional architecture that makes the universe tick.

I.flow() is the underpinning theory behind MetaOS, the generalized AI platform being pioneered by Open Mastery. In an age where everything is changing faster than ever, and the magic of sci-fi novels is coming to life – we're faced with some of the most difficult questions about what it means to be human:

Who am I? What do I live for? What is the purpose of life?

“I.choose() therefore I.am()”

In this session, we'll explore the new reactive features in Spring 5 to build reactive, non-blocking applications using Spring's familiar programming model.

Traditionally, applications have been built using a blocking, synchronous model. Although comfortable and intuitive for most programmers, this model doesn't scale well. And although there are several new approaches to reactive programming, they don't necessarily fit into the familiar programming model that Spring developers are accustomed to working with.

Spring 5 has introduced a set of new reactive features, enabling non-blocking, asynchronous code that scales well using minimal threads. Moreover, it builds on the same concepts and programming models that Spring developers have used for years.

Java 8 is pretty great, but mix in JavaSlang (now called Vavr) and get ready for some functional programming excitement.

JavaSlang is a project that decorates Java with immutable data structures, better Optionals, tuples, and more. Now with JavaSlang (Vavr) we can really bring in some more power to functional programming and Java. We will even discuss some new concepts like for comprehensions, Try, and Either!

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.

Starting with JDK 5, we have had Futures, and they mostly went ignored. Now with concurrency and reactive technology in demand, it is essential that we understand what futures are, and how to handle them and make use of their power in asynchronous systems.

This presentation is a basic ground up introduction to Futures. We start with Futures and how they came packaged with JDK 5. We take a look at Executors, how to create a thread pool, which pool you should choose. How to model Futures in the JDK and show the difference for awaiting the answer and taking on the answer asynchronously. We also take a look at what a Promise is and when to use one. We then invest time taking a look at Guava's callback solution. Then we finally look at the handling of futures in both Scala and Clojure.

Reactive is a the latest buzzword to consume our industry. This presentation distills and defines reactive systems, describe the difference between reactive architecture vs. reactive programming, describe common patterns, and demos the popular reactive JVM technologies like RXJava, and Akka.

Introduction to reactive gets in deep on a discussion of patterns: Source, Sink, Back Pressure, Reactive Pull/Push including a Light introduction to actors using Akka, ReactiveX using RXJava and Reactive Streams in RXJava and Akka. We also will showcase the differences between ReactiveX and Akka.

ReactiveX is a set of Reactive Extensions developed by Netflix, and is developed for various programming languages, like Java, Scala, and Clojure. ReactiveX overhauls the observable design pattern to achieve reactive goals. This presentation will solely focus on the Java version of ReactiveX, RXJava.

RXJava is combining the Observer Pattern with Functional Programming to compose complex asynchronous reactive systems. This presentation will also give an overview on RXJava concepts like Source, Sink, BackPressure and Reactive Pull and Push.

In this session we will explore the router that ships with Angular. We will see how to leverage its power and flexibility to build real world applications.

Angular ships with a powerful new router. One that allows you to manage your application state, allow for things like nested and child views, as well as loading modules on demand. If you have complex workflows and you wish to learn the new way of navigating your Angular application, this is the session for you.

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.

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.

“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.

“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.

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.

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.

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.

Metaphors are the foundation of understanding – a conceptual lens that highlights some details, and hides others. Whether you're trying to understand an idea, design an architecture, or communicate an idea to a member of your team, metaphors shape the fabric of our thoughts.

The side-effect of understanding the world one way, is it becomes extremely difficult to see the world another way. Blindspots are the areas of understanding that fall outside of our metaphorical lenses, the invisible world that doesn't “make sense”.

In this session, we'll do a deep dive into the nature of metaphors and blindspots, and you'll learn three new brain hacks that can help you shift between metaphorical paradigms on command. We'll also discuss some of the blindspots in our industry caused by the Technical Debt metaphor, and how you can force a paradigm shift in your organization to Flow-oriented systems thinking.

Learn to see the world with a whole new perspective by hacking your brain with metaphors!