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. 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: 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. 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…

If you are joining the Spring Team at the SOLD OUT DevNexus 2017 event in Atlanta, GA on February 22-24 2017, here's where you can find us and other Pivotal experts!

Pivotal is sponsoring and will be at booth # 7 from 9am-3pm on Thursday Feb 23, and 9am - 6pm on Friday Feb 24.

We will have experts available at the booth to talk to you about Spring Boot, Spring Cloud, Spring Cloud Data Flow, Cloud Foundry, and much more. Don’t miss these talks and workshops from Spring & Pivotal leaders on Cloud-Native, Reactive Spring, and much more!

Wed Feb 22 - Workshops (Full Day)

Cloud Native Java Workshop - Josh Long WS Room A312 9:0…

Recorded at SpringOne Platform 2016. Speaker: Nivesh Gopathi, Gap Tech Slides: http://www.slideshare.net/SpringCentral/secure-dynamic-app-config-at-gaptech

As organizations move to audit trails over managed processes, continuous delivery with aggressive MTTR, security first doctrines and ephemeral instances, a key enabler is a platform ability for dynamic application configuration and securely bootstrapping application secrets. In this session, we will go over what the use cases for dynamic configuration and application secrets management are with some high level requirements, how we are…

Recorded at SpringOne Platform 2016. Speakers: Michael Minella,Glenn Renfro Slides: http://www.slideshare.net/SpringCentral/task-madness-modern-on-demand-processing

The flexibility promised by cloud computing is something that hasn't been fully available in many use cases yet. Most application models are still based on long running containers, robbing users of that very flexibility. Spring Cloud Task, a new project in the Spring portfolio provides both functional and non-functional capabilities for building short lived, cloud-native, microservices. This talk will introduce the project as…

Recorded at SpringOne Platform 2016. Speaker: Rajini Sivaram Slides: http://www.slideshare.net/SpringCentral/reactive-kafka

Apache Kafka is a distributed, scalable, high-throughput messaging bus. Over the last few years, Kafka has emerged as a key building block for data-intensive distributed applications. As a high performance message bus, Kafka enables the development of distributed applications using the microservices architecture.

Reactive Streams simplifies the development of asynchronous systems using non-blocking back pressure. The reactive framework enables the development of…

Recorded at SpringOne Platform 2016. Speakers: Katie Mooney; Director, Marketing Operations, zData; Cahlen Humphreys; Big Data Solutions Architect, zData & Dillon Woods; Chief Technology Officer, zData Slides: http://www.slideshare.net/SpringCentral/lessons-learned-migrating-from-spring-xd-to-spring-data-cloud-flow-katie-mooney-dillon-woods-cahlen-humphreys

The goal of this session is to teach companies how they can use real-time data to make predictions with Spring Cloud Data Flow, Spark 2.0 and Spark ML. It will cover how to train your model using Spark ML in Spark 2.0. Once trained we…