reactive

Create A Real-Time IoT Dashboard With Eclipse Vert.x

Do you find yourself having to ingest, transform, aggregate, and monitor data streams from hundreds or thousands of devices? Are you being pressured to lower costs and improve scalability? Then Eclipse Vert.x could very well amaze you.

Vert.x is a very small, lightweight toolkit for implementing reactive systems using the Java Virtual Machine or GraalVM. Vert.x combines the vast ecosystem available to Java with the reactive capabilities of Node or GoLang while making it all simpler to implement and easier to understand (IMHO).

Experience level:

Intermediate

IoT & Edge

Cloud-Native, Highly Available, Scalable Applications Using Eclipse Vert.x

Deven Phillips (Zanclus Consulting)

Are you being asked to build applications which can scale fast, self-heal, deploy on any cloud, coodinate across clouds, and all while trying to be cheaper to run? Then you might find Eclipse Vert.x can make those efforts a lot easier. The exteremely lightweight Eclipse Vert.x toolkit can be used alone or inside of your other applications to provide clustering, eventing, resilience, distributed coordination, and many other capabilities. All of this while being fast, using few resources, and being simple to read and understand.

Experience level:

Intermediate

Reacting to an Event-Driven World

Grace Jansen (IBM)

We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data?

Experience level:

Beginner

Cloud Native Java

Reacting to an Event-Driven World

Grace Jansen (IBM)

Kate Stanley (IBM)

Attendees need no in-depth knowledge of either Kafka or Reactive as we will be explaining this within the talk. A basic understanding of Kafka and how it works would be helpful.

Experience level:

Beginner

Cloud Native Java

Reactive features of MicroProfile you need to learn

Ondro Mihalyi (Omnifish OU)

Why reactive? How is MicroProfile related to reactive programming? There are many reactive Java libraries but they all work in a different way and provide different API. MicroProfile brings common reactive APIs that can be reused in many libraries to provide a unified experience for many Java developers. Including reactive operators, messaging, REST and more.

Experience level:

Intermediate

Runtime & Frameworks

How Java9+ helps you React- Reactive Programming?

Jayashree S Kumar (IBM India Pvt Ltd)

Please give us a detailed overview of your session and why attendees will be excited to hear about it.

After giving an Intro to Reactive programming- Starting from going over basic tenets of reactive system, why we need it? with real life examples. How are major languages providing support?

I will in details talk about how is Java making it easier to start with reactives. Presenting Java-based reactive frameworks and toolkits in the market today.

Ensure that you let us know:

Experience level:

Intermediate

Java & JDT

Microservices: reactive and non-reactive

Dmitry Kornilov (Oracle)

It's a challenge to choose Java microservices framework which satisfies your requirements. Some developers prefer reactive, functional style of APIs and other developers give preference to inversion of control, declarative style APIs offered by MicroProfile. In this session I will explain the differences and pros and cons of each approach. I will demonstrate how the functionality of MicroProfile APIs such as HealthCheck, Metrics and OpenTracing can be implemented in reactive-style applications.

Experience level:

Beginner

Cloud Native Java (Sponsored by CNCF)

Rethinking Data in Reactive Microservices with CQRS

Simon Chemouil (Lambdacube)

Reactive microservices are today's choice to design Cloud Native applications. They promise an increased scalability, resilience and modularity, while allowing separate teams to work on large-scale, polyglot projects. But what about the data?

Experience level:

Intermediate

Cloud Native Java