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)

There are many different uses for Apache Kafka. It can be used as a streaming broker, event broker for transactional data, and even a database. This session is about understanding streaming architecture and how to implement it using Apache Kafka. I start this session by talking about some of the streaming architecture patterns, then dive into how Apache Kafka works using the Core API. Using live coding examples in Apache Kafka, I also talk about the differences between Kafka and regular messaging (RabbitMQ, ActiveMQ, etc.) and when you should use each. I end this session by putting everything together, showing an actual streaming architecture using Kafka within a Microservice ecosystem for gathering various metrics for business and operational monitoring and reporting.

Agenda:

• Streaming architecture patterns
• Kafka overview
• Kafka producers and consumers
• Kafka vs. standard messaging
• Streaming examples in a microservices ecosystem

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

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

One of the expectations of any software architect is to analyze the current technology environment and recommend solutions for improvement. This is otherwise known as continually assessing architecture vitality. Too many times software architects fail to regularly perform this task, leading to emergency refactoring efforts to save a troubled system from failure. The question is, what does it mean to assess an application architecture? In this session we will explore static analysis metrics and tools and techniques for leveraging those metrics for determining structural decay. Using a real-world large-scale application, I'll show you how to leverage code metrics to find (and fix) structural decay before it gets you into trouble.

Agenda

• Architecture and structural decay
• Architecturally significant code metrics and what they mean
• Interpreting results and tracking metrics
• Code analysis tools and how to use them
• Real-world hands-on architecture analysis using tools and metrics

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

Functional programming (FP) is fast becoming the tool that programmers reach for in this era of multi-core processors. Although the definition of “functional” varies quite a bit between implementations, there are a few facets that remain core and true to the paradigm. Facets such as functions as first-class, higher order functions, closures etc. In this session we will explore the meaning of these using JavaScript as our medium.

Why JavaScript? The answer in short is: omnipresence. The long answer is that hiding at the core of JavaScript is a language that is not only beautiful and elegant, but one that supports many of the core ideas in FP. If you are interested in what the fuss is all about, or are confused about some of the concepts that make FP a reality, then this is the session you should attend.

In today's world, our applications need to be both responsive, fast and scalable. Our applications need to respond to user interactions such as mouse movements, clicks and inputs as well as asynchronous inputs like XHR calls, server sent events, setInterval, even web socket events! Unfortunately as things stand today, there is no consistent way to deal with the myriad of different “changes” that could happen in an application.

But what if there is? This is what Reactive Extensions (specifially RxJs in this session) allow us to do. It offers us an abstraction that allows us to treat everything from DOM events (infinite streams) to our domain (maps, sets and arrays) as streams. This consistent interface now permits us to create and manipulate any source identically. Futhermore, it allows us to react to different sources as if they are one!

Reactive Extensions are fast becoming the de-facto approach of managing asynchronicity in JS land. From Netflix's UI to Angular 2 $http to ES7 - reactive programming is everywhere!

This session is RxJs 101, covering

• A brief introduction to reactive programming
• How reactive programming is analogous to dataflow programming
• The architectural patterns underlying reactive extensions
• How we can create and manipulate “observable” streams within our applications
• Error handling
• Hot and Cold observables
• The reactive landscape, and a couple of gotcha

If we have time we will look at a simple demo, and reactive progamming's role in Angular 2

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.

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.

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 sessions we'll see how to use components of Spring Cloud to configure and discover microservices in a cloud native microservice-architected application. Specifically, we'll look at Spring Cloud Netflix and Netflix' Eureka and Ribbon projects for service discovery as well as the Spring Cloud Config project's configuration server to provide a central point of external configuration.

Microservice-architecture presents many benefits, not the least of which include opportunities to develop, evolve, scale, test, and deploy individual modules of an application independently from the rest of the application. But once an application is broken apart, a new set of challenges arises.

If the individual microservices are to work together in service of the greater application, then they must know about each other. Rather than hardcode the specifics of each microservice within every other microservice, it's better to provide a registry with which a service can register and other services may use to lookup those service details.

Microservices, like any application, will also likely depend on application-level configuration. It's generally a good idea to keep that configuration separate from the application itself, and this is even more true with microservices. Using a centralized configuration service, microservices can obtain their configuration details, some of which may be shared across many microservices. Because it is separate from the application/microservice code, that configuration itself can be versioned and evolve at a pace independent of the microservices it serves.

In this session, we'll look at how to monitor the health of individual services in a microservice-architected application as well as trace the path of data and processing as it flows from service to service. Specifically, we'll look at Spring Cloud Netflix and Netflix OSS' Hystrix project to not only apply the circuit breaker pattern for failure and latency protection to microservices and monitor the health of those circuit breakers in a running application. Additionally, we'll look at Spring Cloud Sleuth and Zipkin to trace processing through a microservice-based application.

Microservice-architecture presents many benefits, not the least of which include opportunities to develop, evolve, scale, test, and deploy individual modules of an application independently from the rest of the application. But once an application is broken apart, a new set of challenges arises.

Failure is always a possibility in any application. But when an application is composed of microservices, it's important for that each service contain its failure and keep its problems to itself to avoid cascading errors to other services. Likewise, latency can be a concern that is compounded when felt across multiple microservices and it's important to avoid cascading latency issues. By applying the circuit breaker pattern in your microservices, you can ensure that if anything goes wrong in a given service, it stays in that service and doesn't have any negative impacts to other services. Moreover, metrics published by those circuit breakers can provide helpful insight into the health of an application.

When things do go wrong, it may also be helpful to trace the flow and processing of information as it passes from one microservice to another. Traditionally, tracing involves following the logs of a single application. But in a microservice-based application where many services and many instances of those services are involved, tracing is much more challenging. What's needed is a way for microservices to submit timing and tracing information to a central tracing service that coordinates that data and can present the flow of data in a single, easily digested view.

In this session, we'll see how to develop microservices that are components of a flow of data, but that do not necessarily involve REST. We'll also see how to develop ephemeral microservices–microservice that are triggered to perform a job, then shutdown when that job is complete. Specifically, we'll look at Spring Cloud Stream for flow-based microservices, Spring Cloud Task for ephemeral microservices, and Spring Cloud Data Flow which orchestrates those stream- and task-based services.

Microservice-architecture presents many benefits, not the least of which include opportunities to develop, evolve, scale, test, and deploy individual modules of an application independently from the rest of the application. But once an application is broken apart, a new set of challenges arises.

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.

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.

Gradle is the build tool of choice in the open source world, and rapidly becoming the standard in industry as well. Anyone who works with Gradle on a Java project knows the basics of the Java plugin and how to write simple tasks in Groovy. Gradle can do much more, however. This talk will demonstrate how to write your own custom task classes and how to create Gradle plugins from them. Other Gradle features will be demonstrated as well, including file manipulation, incremental builds, generating the Grade wrapper, and resolving conflicts in dependencies.

Gradle Inc also provides a free build scan capability to analyze build files. This too will be demonstrated, as well as profiling your build, determining dependencies, and more.

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.

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.

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

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

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

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

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.”

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.

In this presentation, we'll build, test, and deploy an image-processing pipeline using Amazon Web Services such as Lambda, API Gateway, Step Functions, DynamoDB, and Rekognition.

We'll take a look at some of the following topics:

• Describing serverless deployments with SAM
• Testing lambda functions with SAM Local
• Interacting with AWS API's from lambda functions
• Configuring IAM policies for lambda functions
• Describing workflows of functions with Step Functions
• Deploying with Cloud Formation

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.

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.

Functional programming promotes immutability and using higher-order functions. Functional code is in general easier test, but lambdas and lazy evaluations pose some challenges from the tools point of view. That's where JUnit 5 comes in.

Learn the challenges to testing functional style code and how JUnit 5 addresses those.

Java 8 is the most significant change to the language since it's introduction, surpassing changes seen in any of the previous versions. It is not merely syntactical change or addition of a few extra features, it's a paradigm shift. Come to this presentation to learn about the power and capabilities of functional programming using Java 8 and how to benefit from those when building Java applications.

Lambda Expressions
A Look under the hood
Stream
Functional Programming Principles Applied
Function Pipeline
Lazy Evaluations
Parallel Streams

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.

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.

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.

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.

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.

Stories and lessons from architecture, design, process, and other sources, each illustrating important principles and pitfalls for modern architects.

Those who cannot remember the past are condemned to repeat it.  –George Santayana

The past is never dead. It's not even past. –William Faulkner

Most developers pursue the Latest and Greatest with intense fervor, yet the history of engineering, including software projects, contains rich lessons that we risk repeating ad nauseam. This session recounts a variety of stories of projects that failed architecturally…and why. Ranging from the Vasa in 1628 to Knight Capital in 2012, each story tells of a mistaken interpretation of some architectural fundamental principle and the consequences–some good, some less so. I I also look at the common threads for these stories, which resonates with problems many companies have but don't realize.

• Pets. Com
• San Francisco project
• The Vasa
• F16
• Sagrada Familia
• Tacoma Narrows Bridge
• null
• Ada
• Serialization
• Knight Capital
• Ariane 5
• Webvan
• Chandler project

This session covers two critical soft skills for architects:

• creating clear, concise documentation of software architecture, both structure and decisions
• presenting architectural ideas as clearly as possible

New architects find soft skills like creating lucid documentation and building compelling presentations challenging. This presentation covers a variety of ways to document ideas in software architecture, ranging from diagramming techniques (that aren't UML) to Architecture Decisions Records and ultimately to presentations. The second part of the talk leverages patterns and anti-patterns from the Presentation Patterns book to help architects build clear and concise representations of their ideas.

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.

An evolutionary architecture supports incremental, guided change along multiple dimensions.

For many years, software architecture was described as the “parts that are hard to change later”. But then microservices showed that if architects build evolvability into the architecture, change becomes easier. This talk, based on my upcoming book, investigates the family of software architectures that support evolutionary change, along with how to build evolvable systems. Understanding how to evolve architecture requires understanding how architectural dimensions interact; I describe how to achieve appropriate coupling between components and services. Incremental change is critical for the mechanics of evolution; I cover how to build engineering and DevOps practices to support continuous change. Uncontrolled evolution leads to undesirable side effects; I cover how fitness functions build protective, testable scaffolding around critical parts to guide the architecture as it evolves.

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against changes constantly in unexpected ways. Instead, prefer evolvability over predictability. This keynote illustrates how to achieve evolutionary architectures and how to retrofit existing systems to support better evolution.

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.

JavaScript UI frameworks continue to evolve but centers of gravity have clearly formed around Angular and React. With both libraries boasting of big company backing and passionate communities, which one is right for your next project? While we cannot crown the one true framework, we will dive into the differences and the similarities with an aim to help you make an informed decision on your next web project.

Picking a framework is often fraught with clashing opinions, in this talk I'll try to help you make a good choice for your team.

Technology changes, it's a fact of life. And while many developers are attracted to the challenge of change, many organizations do a particularly poor job of adapting. We've all worked on projects with, ahem, less than new technologies even though newer approaches would better serve the business. But how do we convince those holding the purse strings to pony up the cash when things are “working” today? At a personal, how do we keep up with the change in our industry?

This talk will explore ways to stay sharp as a software professional. We'll talk about how a technology radar can help you stay marketable (and enjoying your career) and how we can use the same technique to help our companies keep abreast of important changes in the technology landscape. Of course it isn't enough to just be aware, we have to drive change - but how? This talk will consider ways we can influence others and lead change in our organizations.

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

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

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.

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.

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!

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.

Docker is an open platform for developing, shipping, and running applications. In this talk, we will discover how Docker isolate your applications from your infrastructure and treat your infrastructure like a managed application. Docker helps you ship code faster, test faster, deploy faster and shorten the cycle between writing code and running code. We will explore Docker architecture. We will investigate how you can create your image and compose and deploy in Docker hub so others can start using the same environment.

Docker Swarm is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual Docker host. Because Docker Swarm serves the standard Docker API, any tool that already communicates with a Docker daemon can use Swarm to scale to multiple hosts transparently.

Kubernetes is Google’s answer to an open-source system for automating deployment, scaling, and management of containerized applications. In this talk we will discover how to use Kubernetes which is portable: public, private, hybrid, multi-cloud; extensible: modular, pluggable, hookable, composable; self-healing: auto-placement, auto-restart, auto-replication, auto-scaling.

Docker is an open platform for developing, shipping, and running applications. In this talk, we will discover how Docker isolate your applications from your infrastructure and treat your infrastructure like a managed application. Docker helps you ship code faster, test faster, deploy faster and shorten the cycle between writing code and running code. We will explore Docker architecture. We will investigate how you can create your image and compose and deploy in Docker hub so others can start using the same environment.

Docker Swarm is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual Docker host. Because Docker Swarm serves the standard Docker API, any tool that already communicates with a Docker daemon can use Swarm to scale to multiple hosts transparently.

Kubernetes is Google’s answer to an open-source system for automating deployment, scaling, and management of containerized applications. In this talk we will discover how to use Kubernetes which is portable: public, private, hybrid, multi-cloud; extensible: modular, pluggable, hookable, composable; self-healing: auto-placement, auto-restart, auto-replication, auto-scaling.

API Gateway is a way to connect real-world cloud-ready applications. New applications need to design the data model and create public APIs to be consumed by mobile apps, third party apps, and different devices. We will explore best practices, which you must adopt to be cloud ready. Firstly, we will examine how contract first API development is helping enable more extensible and reliable APIs. Next, we will look at

We will ask tough questions during this design session.

• How to provide security? What are the best practices for authenticating?
• When should we version APIs? Should we use HATEOS for developing APIs?
• How to support internationalization?
• How to publish and maintain APIs?

We will take deep dive into the following areas:

• RESTful APIs design patterns:
• Principles for designing APIs, Hypermedia, Entity tags caching, filtering, Partial items, HAL
• API versioning techniques:
  URI path, URI parameter, Content Negotiation, Request header
• API Security:
  Threats, Protecting APIs, Authentication, API Keys: How they work? SAML, OAuth and JSON Web Tokens
• API Gateway:
  Customer-driven contract development
• API testing:
  SoapUI, Postman

This talk is designed to catapult your productivity, enhance your emotional intelligence, and refine your problem-solving skills. This talk is not just a series of presentations; it's a transformative experience tailored for the ambitious software developer and architect seeking to leave a mark in the fast-paced world of technology.

Dive into the essence of developer and architect productivity, where we unravel the secrets to optimizing your workflow and leveraging your skills for maximum impact. Discover the “24 Hours Instant Happiness” principle, a proven strategy to inject a dose of joy into your daily routine, fostering a positive work environment and personal life.

“Maximizing Your Impact” takes you deeper into the realm of influence, equipping you with the tools to excel in your projects and inspire those around you. Through “Effective Communication” and the intriguing “Mirror Technique,” learn how to build rapport, foster collaboration, and lead with empathy, amplifying your charisma in all professional interactions.

As we delve into the core of success, “Emotional Intelligence is 85% of Success” highlights the paramount importance of self-awareness, self-regulation, motivation, empathy, and social skills in achieving your goals. The “6 Phase Meditation Approach” and “Day Launcher” sessions are designed to refine your focus, creativity, and emotional stability, setting a solid foundation for a productive day ahead.

The inclusion of “Empathy Maps” and “IDEO Case Studies” offers a practical lens through which to view user-centric design and innovation. At the same time, the “SCAMPER Technique” provides a creative framework for problem-solving, ensuring you're equipped to tackle challenges with agility and inventiveness.

Elevate your productivity to new heights with “5 Choices for Super Productivity,” a comprehensive guide to prioritizing effectively, embracing extraordinary outcomes, and mastering your technology. Learn the art of “Managing Energy, Not Time,” a paradigm shift that promises to enhance your efficiency and job satisfaction.

As the talk culminates, “The Paradox of Choice” and the latest “Technology Trends to Focus On” prepare you to navigate the complexities of the modern tech landscape with confidence and curiosity.

This masterclass is more than just a talk; it's an invitation to transform how you work, lead, and innovate. Join us to unlock your full potential and reshape your future in software development and architecture. Whether you're looking to boost your productivity, enhance your emotional intelligence, or simply find more joy in your work, this talk is your gateway to a more fulfilling career and life.

Developers and Architects are designers, problem solvers, and innovative, creative artists. Software design is an art that requires both left and right brains to be active so you can understand what customers need. Next, we will explore habits and tools to plan, learn, research, organize, teach, develop, mentor, and architect.

Agenda
Enhancing Productivity and Personal Growth
– Developer and Architect Productivity
Strategies for improving daily workflow and efficiency in software development and architecture.

– 24 Hours Instant Happiness
Quick wins for boosting morale and happiness within the team and personal life.

– Maximizing Your Impact
Techniques to increase your influence and contributions in projects and teams.

– Effective Communication
Importance of clear communication and the Mirror Technique to improve understanding and rapport.

– Increasing Charisma
Tips for becoming more charismatic and influential in professional settings.
Building Emotional Intelligence and Mindfulness

– Emotional Intelligence is 85% of Success
Discussing the critical role of emotional intelligence in achieving professional success.

– 6-Phase Meditation Approach
Introducing a meditation technique to enhance focus, creativity, and emotional stability.

– Day Launcher
A strategy to start your day with intention and focus, setting the tone for productivity and success.

– Empathy Map
Utilizing empathy maps to better understand user needs and enhance team collaboration.

– IDEO Case Studies
Examining case studies from IDEO to illustrate successful applications of empathy in design.

– Understanding a Problem with SCAMPER Technique
Exploring the SCAMPER technique to creatively solve problems and innovate solutions.
Strategies for Super Productivity

– 5 Choices for Super Productivity
Detailed strategies for enhancing productivity by prioritizing important tasks, aiming for extraordinary outcomes, scheduling priorities (“big rocks”), mastering technology use, and maintaining energy levels.

– Managing Energy, Not Time
Shifting focus from time management to energy management to maximize productivity and well-being.

– Increasing Frequency to Do What You Want
Techniques to align daily actions with personal and professional goals more effectively.

– The Paradox of Choice
Understanding how reducing options can lead to increased satisfaction and productivity.

– Technology Trends to Focus On
Highlighting current technology trends that developers and architects should be aware of to stay ahead in their field.

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.

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.

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.

The verdict is in: Cloud is NOT a fad. If you haven't already, as a software architect you will be called upon to evaluate various cloud services and determine their suitability for your company's use. In this session, we'll examine ten key criteria that you can use to evaluate any cloud service.

During our time together we'll examine the following criteria:

1. Economics: Price/Cost/Unit of Billing
2. Applicability to Business Case
3. Resiliency Requirements
4. Scalability Requirements
5. Security Requirements
6. Regulatory Requirements
7. Degree of Provider “Lock-In”
8. Required “Undifferentiated Heavy Lifting”
9. Differentiating Features
10. Available Tooling

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.