Chicago

Breakfast

Welcome

Better Software is Better than Worse Software

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“Digital transformation” seems like idle business fantasy. But, it’s a real strategy used by the US Air Force, Air France KLM, Liberty Mutual, DBS Bank, and others to out-innovate competition & delight people. We will go over how Pivotal customers like these are improving their software, how Pivotal Cloud Foundry lays the foundation for better software helps, and how you can be a part of making the world a better place with better software.

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Reactive Spring with Spring Boot 2.0

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Spring Framework 5.0 is here! One of the most exciting introductions in this release is support for reactive programming, building on Pivotal's Reactor project to support message-driven, elastic, resilient and responsive services. Spring Framework 5.0 integrates an MVC-like component model adapted to support reactive processing and a new type of web endpoint, functional reactive endpoints. In this talk, we'll look at the net-new Netty-based web runtime, how existing Servlet code can run on the new world, and how to integrate it with existing Spring-stack technologies.

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Break

Serverless Spring

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Spring Cloud Function provides a servlerless programming model for Spring Boot applications, abstracting away all of the transport details and infrastructure, allowing you to keep all the familiar tools and processes, and focus firmly on business logic. As the foundation of the Pivotal Function Service (PFS) it opens up the benefits of serverless for your developers without burdening them with operations toil. Spring Cloud Function has evolved quite a bit from its early snapshot releases - we have learned some things on the journey and will share some of those lessons in this presentation. You will also see in detail how to write and deploy functions targeting the major servlerless vendor platforms, including Riff, the framework at the heart of Pivotal Function Service.

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Bootiful Reactive Testing

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Join us for an exploration of testing a reactive Spring Boot 2.x application. Test driven development gives us the confidence necessary to improve our code faster, safely. But how do you test components and services, as well as integrations across distributed systems, while maintaining fast feedback loops, and how do you do all of this within the context of reactive Java? In this talk, we'll look at how to test imperative components, reactive data flows, and mocks. We’ll examine how to take advantage of test slices, and how to test web applications. We'll look at how to ensure that API producers and consumers work well together using consumer driven contract testing without sacrificing the testing pyramid for end-to-end integration tests. And we’ll do it all within the context of reactive programming.

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Lunch

Pivotal Conversations

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Pivotal Conversations is loosely based in the open space meeting format, meaning it is based on (un)common sense of what people do naturally in productive meetings. Pivotal Conversations is a simple meeting format where attendees will break into smaller groups and have candid conversations about topics that our speakers have composed, based on the talks they gave earlier in the day. Each 45-minute session will have a casual format where attendees can feel comfortable discussing anything they want to know more about. Although these conversations are facilitated by our speakers, attendees should really be the ones leading the conversations.

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Networking & Social

Day Ends

Breakfast

Welcome

Thinking Architecturally

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Rich Hickey once said programmers know the benefits of everything and the trade offs of nothing...an approach that can lead a project down a path of frustrated developers and unhappy customers. As architects though, we must consider the trade offs of every new library, language, pattern or approach and quickly make decisions often with incomplete information. How should we think about the inevitable technology choices we have to make on a project? How do we balance competing agendas? How do we keep our team happy and excited without chasing every new thing that someone finds on the inner webs? As architects it is our responsibility to effectively guide our teams on the technology journey. In this talk I will outline the importance of trade offs, how we can analyze new technologies and how we can effectively capture the inevitable architectural decisions we will make. I will also explore the value of fitness functions as a way of ensuring the decisions we make are actually reflected in the code base.

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PCF Use Case Talk

Break

Using Spinnaker to Create a Development Workflow on Kubernetes

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Out of the box Kubernetes is an operations platform which is great for flexibility but creates friction for deploying simple applications. When coupled with the Pivotal Container Service, you can use Spinnaker to easily create custom workflows for testing, building, and deploying your applications on enterprise-grade kubernetes clusters. Paul will give an introduction to containers, Kubernetes, and the common development/deployment workflows. He will then show you how you can use Spinnaker to simplify and streamline your workflow and help provide a full #gitops style CI/CD.

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Scheduling Apps in the Cloud

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I know, I know... Scheduling apps in the cloud... yaaawn. But hey, it's actually pretty awesome what Pivotal Cloud Foundry and Pivotal's Kubernetes distribution (Pivotal Container Service) have to offer in this area. In this talk we will give a brief overview as to how Pivotal Cloud Foundry and Kubernetes implement scheduling as well as some of the features offered. Then we'll discuss how Spring Cloud Data Flow gives you the ability to use a common interface to schedule tasks whether you're using Pivotal Cloud Foundry or Kubernetes. But that is only part of the story. How do we know if our job or task successfully completed? How can we write our code such that we can restart a failed job and have it pick up where it left off? We will discuss how Spring Cloud Task and Spring Batch can be incorporated in your Spring Boot app to provide you these features.

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Lunch

How Fast is Spring?

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These days everyone wants to run more with less, and if your app consumes too many resources on PAS/PKS/PFS then it's easy to point fingers at the runtime stack. In this presentation we take stock of some of the myths and assumptions regarding the runtime costs of using Spring. The conclusion is that preconceptions about slowness, component scanning, autoconfiguration, binding, use of reflection are all completely wrong. We look at data from a large set of benchmarks, analysing the performance of Spring applications. We concentrate on JVM startup time, but data are also available regarding total resource usage, and other runtime overheads. Spring is not slow, despite many people's preconceptions, but measuring the performance can bring useful optimizations, some of which we will point out in this session. Finally, we can go deeper than that and show what kinds of apps are slower to start and why.

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Event-Driven Architecture Traps

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Event-driven architectures (EDA) have become more popular by the day. Organizations see a great value in them, and developers love how EDA help to grow, scale, and mirror what really happens in the business domain.However, most developers are not familiar with this kind of architecture, which can lead to common pitfalls that we’ll examine in this talk. We’ll also cover a broad set of concepts like: exactly-once delivery (is that event a thing?), GDPR, CQRS, and tackle the problem of how to version our events.

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Break

The Reactive Revolution

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The reactive revolution continues. For as much as we've been talking about reactive programming in Spring for the last few years the journey has only just begun. Join Josh Long, and we'll take our reactive applications further, looking at how to build microservices for cloud platforms like PAS (Cloud Foundry) and PKS (Kubernetes). Some of the things we may cover include: - reactive NoSQL data access - reactive SQL data access with R2DBC - orchestration and reliability patterns like client-side loadbalancing, circuit breakers, and hedging - messaging and service integration with Apache Kafka or RSocket - API gateways with Spring Cloud Gateway and patterns like rate limiting - API adapters - serverless programming with Spring Cloud Function and project Riff - reactive authentication and authorization with Spring Security.

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Day Ends