Speaker: Michael Plöd, InnoQ

This talk will focus on one of the most precious parts of Domain Driven Design, the concept of Strategic Design, as well as Bounded Context, the Context Map and the patterns that are being documented in the Context Map.

An explanation of these principles as well as practical usage scenarios such as migrating a monolithic landscape to microservices is planned for discussion. And, using a hands-on approach, we will demonstrate the concepts surrounding Strategic Design with an application landscape of various Spring Boot Applications

Register now! North America…

Recorded at SpringOne Platform 2016. Speaker: Victor Gamov, Neil Stevenson, Hazelcast Slides: http://www.slideshare.net/SpringCentral/spring-data-hazelcast-fluently-accessing-distributed-repositories

The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use data access technologies.

In this talk, Neil and Viktor will present using a new Spring Data for Hazelcast project and demonstrate how using the Spring Data paradigm gains the power of a distributed data repository.

The implementation is built on the new Spring Data KeyValue module and…

Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/streaming-live-data-and-the-hadoop-ecosystem

It’s not always easy to get the data you need for analysis. And it becomes even more challenging if it is live streaming data you are working with. Learn how you can make Hadoop work for you in the most effective way possible, especially when it comes to adapting to the agile business requirements of today’s competitive environment. We will cover the Hadoop ecosystem – what is Hadoop, HDFS, MapReduce, Yarn, and then how leading open source projects such as Hive…

Recorded at SpringOne Platform 2016. Speaker: Oleg Zhurakousky Slides: http://www.slideshare.net/SpringCentral/spring-with-apachenifi

Spring Integration has long captured the hearts and minds of the developers world wide for its emphasis on simplicity, modularity and productivity when it comes to all things related to work-flow orchestration and complex event processing and is successfully used in a variety of Big Data solutions. Apache NiFi, on the other hand, is a new addition to the already rich Big Data technology stack.

Can the two complement one another?

This hands-on talk, based on…

Recorded at SpringOne Platform 2016. Speaker: Andreas Evers, Ordina JWorks Slides: http://www.slideshare.net/SpringCentral/writing-comprehensive-and-guaranteed-uptodate-rest-api-documentation

RESTful APIs are eating the world, yet all too often the documentation can cause indigestion for the APIs' developers and their users. Developers have to deal with annotation overload, repetition, and an unpleasant writing environment. Users are then left with documentation that's inaccurate and difficult to use. It doesn't have to be this way.

This talk will introduce Spring REST Docs and its test…

Recorded at SpringOne Platform 2016. Speaker: Christian Posta, Redhat Slides: http://www.slideshare.net/SpringCentral/real-world-microservices-with-spring-cloud-netflix-oss-and-kubernetes

Building distributed systems - whether we call them SOA or microservices - is not easy. Open source communities like Spring, NetflixOSS and Kubernetes bring decades of experience building these systems, but the question always begs to be asked "do we implement these patterns in the application layer or in the infrastructure layer"?

This is a Java developer-oriented presentation showing developers how to…

Recorded at SpringOne Platform 2016. Speakers: Eric Bottard & Ilayaperumal Gopinathan Slides: http://www.slideshare.net/SpringCentral/orchestrate-all-the-things-with-spring-cloud-data-flow

What do things like Minecraft, a light bulb and your music library have in common? Well, nothing really. Until you come up with this crazy idea to link them together. This is where application orchestration comes in.

In this session, you’ll learn how Spring Cloud Data Flow allows easy composition of microservices together. As the spiritual successor to Spring XD and the natural sidekick of Spring Cloud…

Recorded at SpringOne Platform 2016. Speaker: Joe Kutner, Confluent Slides: http://www.slideshare.net/SpringCentral/i-cant-believe-its-not-a-queue-using-kafka-with-spring

Your existing message system is great, until it gets overloaded. Then what? That's when you should try Kafka.

Kafka is designed to be resilient. It takes the stress out of moving from a Spring monolith into a scalable system of microservices. Since you can capture every event that happens in your app, it's great for logging. You can even use Kafka's distributed, ordered log to simulate production load in your staging…

Recorded at SpringOne Platform 2016. Speaker: Fred Melo Slides: http://www.slideshare.net/SpringCentral/architecting-for-cloud-native-data-data-microservices-done-right-using-spring-cloud-64889916

Microservices are definitely offering best practice guidance for those architecting cloud native applications. The ability to quickly create small services that can be individually deployed, configured and scaled, as building blocks for scalable, highly distributed and fault-tolerant systems has been causing every company to rethink on how to architect modern systems and making Spring Boot shine in…