Monoliths are out and microservices are in. Not so fast. Many of the benefits attributed uniquely to microservices are actually a byproduct of other architectural paradigms with modularity at their core. In this session, we’ll look at several of the benefits we expect from today’s architectures and explore these benefits in the context of various modern architectural paradigms. We’ll also examine different technologies that are applying these principles to build the platforms and frameworks we will use going forward.

Along the way, we’ll explore how to refactor a monolithic application using specific modularity patterns and illustrate how an underlying set of principles span several architectural paradigms. The result is an unparalleled degree of architectural agility to move between different architectural paradigms.

Big architecture up front is not sustainable in today's technology climate where expectations are high for delivering high quality software more quickly than ever before. To accept change, teams are moving to agile methods. But agile methods provide little architectural guidance. Attempts to define the architectural vision for a system early in the development lifecycle does not work. In this session, we provide practical guidance for software architecture for agile projects.

We will explore several principles that help us create more flexible and adaptable software systems. We’ll expose the true essence of what’s meant when we say “architectural agility.” And we’ll explore the real goal of software architecture and how we can accommodate architectural change to help increase architectural agility.

Microservice architecture is a modern architectural approach that increases development and delivery agility by focusing on building modular services. The framework we use has a tremendous impact on how quickly and easily we can deliver servcies. New frameworks are emerging that embrace new approaches for helping us deliver microservices.

In this session, we will explore some modern Java frameworks for building microservices (aka micro frameworks). Example frameworks you may see include Dropwizard, Ratpack, Spark, Ninja, RestExpress, Play, Restlet, and RestX. We'll demonstrate each framework by using a programming kata to build the same service using several different frameworks. Optionally, bring your own laptop, clone the github repo, and you can build the services along with me. To do this, you must have Java 8+ and Gradle.

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.

Java 9 with the Jigsaw module system is here. In this session, we'll explore the basics of the Jigsaw module system and examine the impact it will have on how we build Java applications. We will dig into it's major features, including dependency management and Jigsaw services. Once we understand Jigsaw's basics, we will explore what it's going to take to migrate existing Java application to Java 9 and leverage Jigsaw.

Jigsaw's impact stands to be consequential. Jigsaw will restrict application code from accessing non-published JDK classes (ie. sun.com), require you to be explicit in declaring your dependencies, and more. We will explore Jigsaw basics and then dig into the impact Jigsaw will have on migrating existing Java applications to Java 9.

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.

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.

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

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

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

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.

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.

Apache Spark is the fast data processing of large document stores and databases. Spark is highly distributed, optimized, and redundant for large clustering manipulation and aggregation.

This talk is an introduction to Apache Spark, it's architecture, and it's programming API. We start with an introduction to DataFrames, the Catalyst Optimizer, and Spark SQL. We will then venture onto DataSets, discuss the DataSet API and the functional programming aspects of it. We will touch lightly on RDD and the pros and cons of using the API. We will then finish with how to connect to data sources like HDFS, S3, Cassandra, Elastic Search, and Kafka. This presentation will have samples that you can try out at home or at the office.

Spark Streaming is one of the few additions that are available with Spark that uses its internal architecture and creates a Streaming processing framework to process data in real time.

In this presentation, we will start with a small reintroduction to Spark and it's architecture and what it does. Then we delve into streaming, what purpose does it serve, how to set up Spark Streaming and how to use it. We will discuss how to set it with time, how the internals work, and how also to integrate it with Kafka. We then will talk about some of the more high-end features like checkpointing, and windowing.

Many have already seen what Reactive Streaming can do: RXJava, Akka Streams, Project Reactor. Now reactive streaming is a part of the canonical package for Java and now we can handle asynchronous pipelines with boundaries and make better well thought out applications

This presentation introduces you to the core components of Reactive Streams: Publisher, Subscriber, and Processor. We will discuss when to use Reactive Stream and how to avoid complicated scenarios like Backpressure. We will also cover some of the core problem spaces and how to overcome.

Development teams often focus on getting code to production losing site of what comes after the design and build phase. But we must consider the full life cycle of our systems from inception to deployment through to sunset, a discipline many companies refer to as site reliability engineering.

While your organization may or may not have an SRE team, you have someone playing that role and we can all benefit from looking at the principles and practices that we can bring to bear on our projects. In this talk, I will introduce the concepts of SRE and how you can adopt these ideas on your applications.

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, you'll learn how to take advantage of the latest features of Spring Security and Spring Boot to secure an application, both at the web layer and at the method-level.

Information is probably the most valuable item we now have; crooks are looking for ways to steal our data and identities by sneaking into unsecured applications. As software developers, we must take steps to protect the information that resides in our applications. Whether it’s an email account protected with a username/password pair or a brokerage account protected with a trading PIN, security is a crucial aspect of most applications.

Spring Security is an extension to the Spring Framework that provides security to Spring applications both at the HTTP request level as well as at method invocation.

Serverless is a big topic these days. More specifically, Function as a Service (FaaS) enables small-scale functions deployed in the cloud to be enabled only as needed. Compared to Platform as a Service (PaaS) services which are “always on” and require explicit scaling, FaaS services wake up when needed and are scaled by the platform automatically.

Imagine a service that only gets invoked one per hour. In PaaS, that service is always running and ready to handle requests, consuming processor resources and ultimately costing more to be ready at a moment's notice. In contrast, FaaS services awaken quickly upon invocation and go away when finished, conserving resources and cost.

In this example-driven session, we'll see how to create and deploy Function as a Service (FaaS) services with Spring and Spring Boot.

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.

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

From operating system on bare metal, to virtual machines on hypervisors, to containers orchestration platforms. How we run our code and bundle our applications continues to evolve. Serverless computing continuous our evolutionary path for our architectures.

Kubernetes provides an ideal, vendor-agnostic platform for serverless computing. Serverless promises to developers that we can worry less about the cluster and focus more on their logic. Based on your Kubernetes knowledge we will discover the various contributors of serverless frameworks on Kubernetes. Specifically, we will unpack how two open source serverless frameworks, Kubeless and OpenFaaS, leverage Kubernetes to achieve their promises. We will explore how Knative is helping the serverless providers evolve to the next levels sophistication.

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

Kubernetes is a powerful platform for running containers and distributing computation workloads across resources. A significant question is how do you get all your code to this platform, continuously.

In 2019 our community is bursting with new solutions to assist our delivery pipelines. While Jenkins is a dominant player, there is a growing array of new ideas and choices. From coding at your laptop to building containers to deployments, we will explore the various tools and techniques to reduce the delivery frictions.

Kubernetes is also a fitting platform for hosting your continuous tools, pipeline engines, registries, testing, code analysis, security scans, and delivery workflows.

From this session, you will understand the latest tools and techniques for pipelining on Kubernetes. Let's up the game on your Maturity Model.

Big up front design is discouraged in agile development. However, we know that architecture plays a significant part in software systems. Evolving architecture during the development of an application seems to be a risky business.

In this presentation we will discuss the reasons to evolve the architecture, some of the core principles that can help us develop in such a manner, and the ways to minimize the risk and succeed in creating a practical and useful architecture.

Creating code is easy, creating good code takes a lot of time, effort, discipline, and commitment. The code we create are truly the manifestations of our designs. Creating a lightweight design can help make the code more extensible and reusable.

In this presentation we will take an example oriented approach to look at some core design principles that can help us create better design and more maintainable code.

Learn how to use Heroku's 12 (15) Factor App methodologies to make your applications more portable, scalable, reliable and deployable.

Do you want to improve your application’s portability, scalability, reliability and deploy ability? Now you can, with Heroku’s 12 Factor App methodologies. Learn from their experience hosting and supporting thousands of apps in the cloud. During this hands-on workshop, you will learn how to incorporate factors like configuration, disposability, dev/prod parity and much more into an existing application whether it is an on premise or cloud native app. But wait, there’s more! Act now, and get an additional 3 factors absolutely free! API first, Telemetry and even Authentication and authorization will be included at no additional cost.

Workshop Requirements

• Java 8
• Java IDE/Editor
• Docker Community Edition (mac or windows) - https://www.docker.com/community-edition#/download or Docker Toolbox - https://www.docker.com/products/docker-toolbox
• Pull Docker Images (docker pull )
  mysql:latest
  openjdk:8-jre
  docker.elastic.co/elasticsearch/elasticsearch-oss:6.3.0
  docker.elastic.co/kibana/kibana-oss:6.3.0
  ** docker.elastic.co/logstash/logstash-oss:6.3.0

Learn how to use Heroku's 12 (15) Factor App methodologies to make your applications more portable, scalable, reliable and deployable.

Do you want to improve your application’s portability, scalability, reliability and deploy ability? Now you can, with Heroku’s 12 Factor App methodologies. Learn from their experience hosting and supporting thousands of apps in the cloud. During this hands-on workshop, you will learn how to incorporate factors like configuration, disposability, dev/prod parity and much more into an existing application whether it is an on premise or cloud native app. But wait, there’s more! Act now, and get an additional 3 factors absolutely free! API first, Telemetry and even Authentication and authorization will be included at no additional cost.

Workshop Requirements

• Java 8
• Java IDE/Editor
• Docker Community Edition (mac or windows) - https://www.docker.com/community-edition#/download or Docker Toolbox - https://www.docker.com/products/docker-toolbox
• Pull Docker Images (docker pull )
  mysql:latest
  openjdk:8-jre
  docker.elastic.co/elasticsearch/elasticsearch-oss:6.3.0
  docker.elastic.co/kibana/kibana-oss:6.3.0
  ** docker.elastic.co/logstash/logstash-oss:6.3.0

Tired of trying to manage and maintain servers? Never have a large enough operations team? Don’t have a budget for running lots of server? Don’t want to pay for servers siting idle? Afraid you might become so popular that you won’t be able to scale fast enough? Don’t worry, it is possible to alleviate these issues by moving to a serverless architecture that utilizes microservices hosted in the cloud. This type of architecture can support all different types of clients including web, mobile and IoT.

During this hands-on workshop, you will build a serverless application utilizing AWS services such as Lambda, API Gateway, S3 and a datastore.

During this session you will build a simple web application utilizing AWS services and Angular.

Workshop Requirements

• Editor supporting Java and/or JavaScript
• nodejs (https://nodejs.org)
• AWS CLI (https://aws.amazon.com/cli/)
• Clone Git Repositories
  https://github.com/cjudd/giftube-lambda.git
  https://github.com/cjudd/giftube.git
• AWS account is optional

Tired of trying to manage and maintain servers? Never have a large enough operations team? Don’t have a budget for running lots of server? Don’t want to pay for servers siting idle? Afraid you might become so popular that you won’t be able to scale fast enough? Don’t worry, it is possible to alleviate these issues by moving to a serverless architecture that utilizes microservices hosted in the cloud. This type of architecture can support all different types of clients including web, mobile and IoT.

During this hands-on workshop, you will build a serverless application utilizing AWS services such as Lambda, API Gateway, S3 and a datastore.

During this session you will build a simple web application utilizing AWS services and Angular.

Workshop Requirements

• Editor supporting Java and/or JavaScript
• nodejs (https://nodejs.org)
• AWS CLI (https://aws.amazon.com/cli/)
• Clone Git Repositories
  https://github.com/cjudd/giftube-lambda.git
  https://github.com/cjudd/giftube.git
• AWS account is optional

Docker and containers are getting a lot of attention these days but what do they mean for devs? How do they fit into DevOps and continuous delivery movements? Where do these tools fit into cloud computing? During this hands-on session we will learn how to install and configure Docker, build images and run containers in a local development environment. But we will also explore using them in a continuous deployment environment by deploying them to on premise as well as cloud services such as AWS.

• Setting Up Docker
• Creating Docker Machines
• Docker Lifecycle
• Finding & Running Containers
• Creating Images
• Linking Containers
• Sharing Images
• Composing
• Using the Docker API
• Private Repositories
• Swarm
• Kubernetes
• Cloud (Digital Ocean, AWS)
• Summary
• Resources

Workshop Requirements

• Docker Community Edition (mac or windows) - https://www.docker.com/community-edition#/download or Docker Toolbox - https://www.docker.com/products/docker-toolbox
• (optional) minikube - https://kubernetes.io/docs/tasks/tools/install-minikube/

Docker and containers are getting a lot of attention these days but what do they mean for devs? How do they fit into DevOps and continuous delivery movements? Where do these tools fit into cloud computing? During this hands-on session we will learn how to install and configure Docker, build images and run containers in a local development environment. But we will also explore using them in a continuous deployment environment by deploying them to on premise as well as cloud services such as AWS.

• Setting Up Docker
• Creating Docker Machines
• Docker Lifecycle
• Finding & Running Containers
• Creating Images
• Linking Containers
• Sharing Images
• Composing
• Using the Docker API
• Private Repositories
• Swarm
• Kubernetes
• Cloud (Digital Ocean, AWS)
• Summary
• Resources

Workshop Requirements

• Docker Community Edition (mac or windows) - https://www.docker.com/community-edition#/download or Docker Toolbox - https://www.docker.com/products/docker-toolbox
• (optional) minikube - https://kubernetes.io/docs/tasks/tools/install-minikube/

Are you using or moving to AWS? Have you considered how you organize and secure your AWS environments? The growing push to cloud providers has allowed us to move faster and tackle problems more efficiently. The same freedoms that have allowed us to move faster have also created scenarios where security issues are exposed by accident and/or without proper management and review. As companies move toward more and more cloud usage, teams are pushed harder to ensure the same compliance and security requirements that exist in slower moving private environments. This has the potential to put us right back where we came from.

Join Aaron as he talks through the most critical security decisions you can make for you AWS environments. He will identify issues and solutions in an automation friendly fashion that aim to fit seamlessly into the development and deployment lifecycle. This session will cover the following topics:

• Account provisioning and IAM
• Credential management
• VPC setup and network design
• AWS services that boost your security posture
• Auditing AWS configurations to find security holes
• Creating a robust CI pipeline that ensures no obvious security holes are present within your environments

In addition to these topics a heavy emphasis on both platform and server automation will be included. Please note that this session is heavily tuned to people using Amazon Web Services. If you are using another Cloud provider the ideas will still be relevant, but not all solutions will be available for your provider.

Security should always be built with an understanding of who might be attacking and how capable they are. Typical threat modeling exercises are done with a static group of threat actors applied in “best guess” scenarios. While this is helpful in the beginning, the real data eventually tells the accurate story. The truth is that your threat landscape is constantly shifting and your threat model should dynamically adapt to it. This adaptation allows teams to continuously examine controls and ensure they are adequate to counter the current threat actors. It helps create a quantitative risk driven approach to security and should be a part of every security teams tools.

Join Aaron as he demonstrates how to look at web traffic to analyze the threat landscape and turn request logs into data that identifies threat actors by intent and categorizes them in a way that can be fed directly into quantitative risk analysis. Aaron will show how important this data is in driving risk analysis and creating an effective and appropriate security program.

This session covers the landscape of Big Data tools, technologies and best practices in 2018. You'll leave this session armed with the knowledge you need to build Big Data solutions by assembling the best technologies for you.

We cover the components of a big data pipeline, options available for each module and the pros, cons and best practices for each option.

Interest in MongoDB and other NoSQL platforms has waxed and waned over the years, however, Mongo remains an enormously useful tool.

In this session, you will learn everything you need to know to master MongoDB.

We dive deep into advanced topics, data architecture, tooling options, clustering, replication and sharding. You'll learn when Mongo is the perfect tool for the job (and when it isn't) and what's new in 2018

Big Data is exploding into our industry and these skills are increasingly in demand. Much of our existing body of knowledge needs to be updated, however as Big Data solutions present a number of unique challenges. In this half-day workshop we start with the question “What is Big Data?” and “How do big data solutions differ from traditional data architectures.” We then dive into core Hadoop technologies to tackle your Big Data challenges and dive into several tools and technologies for distributed processing of large datasets.

The Big Data Space is rapidly changing and with a seemingly dizzying number of technology choices, one might not know where to begin. Our goal with this half-day workshop is to give you an overview of a number of technologies, their respective strengths and weaknesses, and enough knowledge to make informed decisions and built great tech!

Big Data is exploding into our industry and these skills are increasingly in demand. Much of our existing body of knowledge needs to be updated, however as Big Data solutions present a number of unique challenges. In this half-day workshop we start with the question “What is Big Data?” and “How do big data solutions differ from traditional data architectures.” We then dive into core Hadoop technologies to tackle your Big Data challenges and dive into several tools and technologies for distributed processing of large datasets.

The Big Data Space is rapidly changing and with a seemingly dizzying number of technology choices, one might not know where to begin. Our goal with this half-day workshop is to give you an overview of a number of technologies, their respective strengths and weaknesses, and enough knowledge to make informed decisions and built great tech!

Everyone (including your humble speaker) talks about Modularization. For once, let's focus on other interesting and exciting parts of Java 9 that does not involve modularization. In this presentation we will talk about key improvements and additions to the Java language and the JDK introduced in Java 9.

We will focus on first things that can be done better in Java 9 compared to previous versions on Java.
Then we will look at things we simply could not do before but we can benefit from now.
And finally, we will not talk about Modularization, well I lied, will discuss that just a bit.

Reactive Programming is no longer an esoteric idea. Many libraries and tools have started providing excellent support for this idea of programming. So much that Java 9 has embraced this idea by including it into the specification. In this presentation we will take a dive into what reactive programming looks like from the Java specification point of view.

Reactive Programming
What problem does it solve
How to use it from Java point of view?
What can you do to make good use of it.

Java is now on a six-month release schedule, with new features being added all the time. This talk summarizes the features that have been added to Java, including collection factory methods, private methods in interfaces, records, the enhanced switch statement, and more. The goal is to show not only what has been added, but why and where to use them.

Additional topics will include Local Variable Type Inference, the new HTTP client, the pattern matching, and text blocks. This talk will be updated throughout the year as more features are added to new releases.

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.

Serialization is important for anything Big Data. We need to send information over the wire and we need to do so efficiently. This core concept presentation covers various serialization techniques and libraries. That way you can use Akka, Kafka, Spark, and various MQs efficiently

For this presentation, we will focus on three topics: Core Java Serialization, Apache Avro, and Google's Protocol Buffers. We will review serialization and deserialization ease of use, review performance, and how to integrate with Akka, Kafka, Spark.

Our jobs usually deal with something other than new code. It is usually old spaghetti and difficult-to-read code. How do we test such code? How do we get through it? How can we surgically remove and make some of this harmful code testable?

This session looks at lousy code, and we talk about some strategies we can do to diagnose, test, apply, and finally refactor to produce something that would promote some sanity in your development process. We can do much with our code to make it better and testable while avoiding extensive mocking. The content of this course is all in Java and JUnit.

Workshop Requirements

• JDK 11+
• Maven 3.8.x
• IDE (I will be using IntelliJ)

Think back over your career as a software developer. How many great–and I mean truly great–software developers have you worked with? The chances are you can count them on one hand? Developers with 20-30 years experience can rarely name more than two or three. What does it take to be considered truly great? Michael can certainly tell you what NOT to do… from cold, bitter experience.

Ego Driven Development is a humorous and brutally honest look at a career spanning nearly two decades. We dive into war stories, train wrecks and so many misguided attempts at greatness. There is a path to becoming a truly great software engineer, but it's not always where we first look.

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.

Kotlin is a practical language designed for the JVM. It focuses on pragmatism and safety, with an emphasis on interoperability and tool support. Kotlin is statically typed and includes null checks in the type system itself. The language runs anywhere Java does, from microservices to Android apps. This workshop will show how to use Kotlin to simplify anything you originally planned to do in Java.

Kotlin combines object-oriented programming with functional features like lambda expressions, functional types, and data classes. Since it comes from JetBrains, the company that produces the IntelliJ IDEA development environment, its tool support is excellent. IntelliJ even provides a Java-to-Kotlin converter to help you get started.

This presentation will cover the basic types, defining and calling functions, programming with lambdas, higher order functions, and DSLs. The goal is to give you enough background to be productive while you continue to learn and grow with the language.

Good discussions are supposed to diverge from their intended path. Free association is a feature, not a bug, and helps you see new connections between ideas. Without structure, however, it can be difficult to add context to new ideas and understand how they relate to more immediate problems. This talk discusses the technique of mental bookmarks – how to remember where you were when a discussion diverged. In addition to giving you a reputation for having an amazing memory, the skill also helps with personal awareness in general.

To give the technique context, we'll look at the fractal nature of success – the way we tend to see our current environment in relative terms, always comparing ourselves to those slightly more successful and slightly less successful.

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.

Vert.x is one of many reactive offerings on the JVM. Vert.x has everything for reactive to messaging, handlers for data, to even converters for other streaming frameworks like RX Java.

In this session we will discuss the basics of Vert.x and how it's API is structured followed by the applications that can be made with Vert.x

After years of stagnation, Java is one of the most vibrant languages of current times. Java 8 saw several improvements and Java 9 a few more. Well, that's only the beginning. Come to this talk to learn about where Java is heading, what's brewing in the language and the ecosystem, well beyond Java 9.

We will look ahead into the next versions of Java, what you can expect, and how you can get ready.

Let me guess - your company is all in on “the Cloud” but no one can really agree what that means. You’ve got one group Dockering all the things while another group just rearchitected the Wombat system as a set of functions…as a service. It is enough to make a busy developer’s head spin - how do we make sense of all the options we have? I hate to burst your bubble, but there are no silver bullets, just a set of tools that we can leverage to solve problems. And just as a master carpenter knows when to use their favorite framing hammer and when they need to reach for the finish hammer, we need to use the right tool at the right time to solve our problems.

In this talk we will survey the various options today’s application teams have at their disposal looking at the consequences of various approaches. We will clear up the buzzword bingo to give you a solid foundation in various cloud computing approaches. Most importantly, we will discuss why the right answer will almost always be: and not or.

As a software developer, you've likely come across at least one veteran in our field who has shared tales of the old days when they used punch cards to give instructions to a computer. Thankfully, those days are long gone. Over time, the way we interact with machines has evolved through various stages such as textual, graphical, and touch/gestural user interfaces…up to today where Siri, Alexa, and Google Home are ushering in a new era of voice user interfaces.

In this session, we'll focus on Alexa, the voice assistant present in Amazon's line of Echo devices. We'll explore the Alexa Skills Kit (ASK) and see how to construct voice UIs (known as “skills”) to do our bidding. We'll see how to back those skills using Spring, including Spring MVC and Spring Cloud Function. And maybe, one day, we'll tell future generations about how we once had to actually touch computers.