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…

Recorded at SpringOne Platform 2016. Speakers: Gary Russell Slides: http://www.slideshare.net/SpringCentral/spring-for-apache-kafka

With the advent of the Kafka 0.9+ pure Java client, the Spring Team has created the new spring-kafka project with familiar Spring abstractions such as the KafkaTemplate, message listener container and POJO listener annotation @KafkaListener.

In this talk we'll take a look at the features of the project as well as the new version (2.0) of spring-integration-kafka which is now based on the Spring for Apache Kafka project.

Recorded at SpringOne Platform 2016. Speaker: Thomas Risberg Slides: http://www.slideshare.net/SpringCentral/spring-and-big-data

In this talk we will discuss ways to develop big data pipelines using Spring technologies. Learn how we can stream data into HDFS, run a Spark or a Hive job and extract the results from HDFS or Cassandra for presentation. The solution we develop will be a cloud-native pipeline that we will be able to run both locally and in the cloud.

The presentation focuses around the code for our solution and we also cover how to set up a test environment both locally and in the…

Recorded at SpringOne Platform 2016. Speaker: Vinicius Carvalho Slides: http://www.slideshare.net/SpringCentral/building-resilient-and-evolutionary-data-microservices

How can we build data pipelines that are resilient to change? Data usually outlives application code, and we have to be prepared to deploy streams that can cope with the evolution of that data that is in motion. This talk will discuss the approach and supporting patterns to write resilient data microservices with Spring Cloud Stream and Spring Cloud Dataflow. We will discuss the role of a centralized Schema repository, and how…