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: 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: 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…

Join the Spring Team at the 1st ever Devoxx event in the United States on March 21-23, 2017! Pivotal is sponsoring and will be at booth # 104 from 10am-8pm on Tuesday March 21st, and 9:45am - 4:30pm on Wednesday March 22rd.

We will have experts available to talk to you about Spring Boot, Spring Cloud, Spring Cloud Data Flow, Cloud Foundry, and much more. Stop by and learn about Cloud Native Java from the leaders at Pivotal.

Don't miss talks from Spring leaders on Cloud-Native, Reactive Spring, Eclipse and Big Data!

Cloud Native Java with Josh Long Room 7 - Tuesday from 11:30 AM til 12:20 PM

Recorded at SpringOne Platform 2016. Speaker: Tomas Lin, Netflix Slides: http://www.slideshare.net/SpringCentral/putting-a-spel-on-spinnaker-evolving-an-expression-language-for-continuous-delivery-at-netflix

Spinnaker is an open source, multi-cloud continuous delivery platform. It is used by over 90% of cloud deployments at Netflix. The Spring Expression Language (SpEL) is heavily leveraged to fully articulate and extend Spinnaker’s automated deployment pipelines. SpEL is used heavily to interact with pipeline stages and triggers for variable substitution, information retrieval and…

Recorded at SpringOne Platform 2016. Speaker: Clint Checketts, Domo.com Slides: http://www.slideshare.net/SpringCentral/implementing-config-server-and-extending-it

Spring Cloud Config Server is a great tool for getting your application configuration under source control. We'll start with the quick overview of Spring's Environment and properties and how config server enhances those, while keeping the same model.

Next we'll discuss what concerns you need to take into account when rolling out config server like security, encryption, and location of your repositories (if using Git).

Finally we…

Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/how-to-properly-blame-things-for-causing-latency

Latency analysis is the act of blaming components for causing user perceptible delay. In today's world of microservices, this can be tricky as requests can fan out across polyglot components and even data-centers. In many cases, the root source of latency isn't a component, but rather a link between components.

This session will overview how to debug latency problems, using call graphs created by Zipkin. We'll use trace zipkin itself, setting up from scratch…

Recorded at SpringOne Platform 2016. Speakers: Marcin Grzejszczak, Reshmi Krishna Slides: http://www.slideshare.net/SpringCentral/implementing-microservices-tracing-with-spring-cloud-and-zipkin

2015 was the year of microservices. It’s already common knowledge that creating distributed systems is not easy. It’s 2016 and it’s time to show how that complexity can be contained.

Service Discovery and Registry (Zookeeper / Consul / Eureka), easy request sending with client side load balancing (Feign + Ribbon), request proxying with Zuul. Everything is easy with Spring Cloud. Just add a dependency…

Recorded at SpringOne Platform 2016. Speaker: Agim Emruli Slides: http://www.slideshare.net/SpringCentral/spring-cloud-on-aws

Spring Cloud allows to implement cloud native application across different cloud platforms. Spring Cloud has also a dedicated support for running applications on the Amazon Web Service platform. This talk will introduce common patterns and best-practices to run the application the AWS cloud and how to use the platform provided services efficiently.