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Webinar: Bootiful CQRS with Axon - Nov 16

Speakers: Josh Long, Allard Buijze

We get it already! Microservices let you decompose your application into small, singly-focused, reusable and internally consistent bounded contexts - services - deployed over a network.

Great, but that still doesn’t help me get these systems to agree on the worldview of my domain! And that’s because…there is no world view of the model that is correct for all services involved.

Join Axon framework founder and lead, Allard Buijze at Trifork and Spring Developer Advocate Josh Long, for a look at how to integrate different systems with different read and write characteristics using Axon, a CQRS (Command Query Responsibility Segregation) framework that builds on Spring and Spring Boot.

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Webinar Replay: Data Microservices in the Cloud

Speakers: Mark Pollack, Mark Fisher
Spring Cloud Data Flow enables you to create data pipelines for many common use-cases such as data ingestion, real-time analytics and data import/export.
In this webinar, we will introduce Spring Cloud Data Flow’s architecture and walk through the orchestration capabilities of long-running and short-lived data-centric applications on multiple runtime platforms such as Cloud Foundry, Kubernetes, Apache Mesos and Apache YARN.
Spring Cloud Data Flow represents the evolution of Spring XD and retains the DSL to define data pipelines as well as the web based UI designer, but changes the component model from modules that used to run inside a container to standard Spring Boot applications built with Spring Cloud Stream and Spring Cloud Task APIs.

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Webinar: Consumer Driven Contracts and Your Microservice Architecture

TDD introduced many improvements into the development process, but in our opinion the biggest impact relates to code design. Looking at the code from the usage perspective (by first writing an acceptance test) allows us to focus on usability rather than concrete implementation. Unfortunately, we usually rest on our laurels not trying to uplift this practice to the architecture level.

This presentation will show you how you can use the Spring Cloud Contract Verifier functionality in order to have a fully automated solution to stub your HTTP / Messaging collaborators. Just by adding proper configuration, you’ll surround the microservices you are testing with faked stubs that are tested against their producer, making much more realistic tests.

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SpringOne Platform 2016 Replay: Spring MVC 4 Web Apps

Recorded at SpringOne Platform 2016.
Speaker: Rossen Stoyanchev
Slides: http://www.slideshare.net/SpringCentral/spring-mvc-4-web-apps

Spring Framework 4.3 is the last in the 4.x generation and it brings plenty of refinements to the @MVC programming model. In Spring Framework 5.0 the same programming model will be supported on a new reactive foundation. This talk will review the main features in 4.x and preview the work towards Spring Framework 5.0.

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SpringOne Platform 2016 Replay: Cloud Native Java with Spring Cloud Services

Recorded at SpringOne Platform 2016.
Speakers: Craig Walls; Spring Social Lead, Pivotal. Roy Clarkson; Spring Mobile Lead, Pivotal.
Slides: http://www.slideshare.net/Pivotal/cloud-native-java-with-spring-cloud-services-64888067

Developing cloud native applications presents several challenges. How do microservices discover each other? How do you configure them? How can you make them resilient to failure? How can you monitor the health of each microservice?

Spring Cloud addresses all of these concerns. Even so, you still must explicitly develop your own discovery server, configuration server, and circuit breaker dashboard for monitoring the circuit breakers in each microservice.

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Webinar: Data Microservices in the Cloud

Speakers: Mark Pollack, Mark Fisher
Spring Cloud Data Flow enables you to create data pipelines for many common use-cases such as data ingestion, real-time analytics and data import/export.
In this webinar, we will introduce Spring Cloud Data Flow’s architecture and walk through the orchestration capabilities of long-running and short-lived data-centric applications on multiple runtime platforms such as Cloud Foundry, Kubernetes, Apache Mesos and Apache YARN.
Spring Cloud Data Flow represents the evolution of Spring XD and retains the DSL to define data pipelines as well as the web based UI designer, but changes the component model from modules that used to run inside a container to standard Spring Boot applications built with Spring Cloud Stream and Spring Cloud Task APIs.

Read more...

SpringOne Platform 2016 Replay: 12 Factor, or Cloud Native Apps: What EXACTLY Does that Mean for Spring Developers?

Recorded at SpringOne Platform 2016.
Speaker: Thomas Gamble, Home Depot
Slides: http://www.slideshare.net/Pivotal/12-factor-or-cloud-native-apps-what-exactly-does-that-mean-for-spring-developers-64853692

Your team is excited about getting started with Spring Boot and Cloud Native, but you’re not entirely sure you’re ready to have the team continuously delivering to prod using cf push from their local desktops. The freedom of cloud native development can be very empowering for developers, but it shouldn’t be something that terrifies the operations and security teams. We’ll discuss how you can setup a fast and reliable deployment process, as well as some interesting things to thing about in the future. One of the most well known descriptions of these new paradigms is the Twelve Factor App (12factor.net), which describes elements of cloud native applications. Many of these needs are squarely met through the Spring Framework, others require support from other systems. In this session we will examine each of the twelve factors and present how Spring, and platforms such as Cloud Foundry satisfy them, and in some cases we’ll even suggest that responsibility should shift from Spring to platforms. At the conclusion you will understand what is needed for cloud‐native applications, why and how to deliver on those requirements.

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SpringOne Platform 2016 Replay: Cloud Native Java

Recorded at SpringOne Platform 2016.
Slides: http://www.slideshare.net/SpringCentral/cloud-native-java

"It is not necessary to change. Survival is not mandatory.” -W. Edwards Deming

Work takes time to flow through an organization and ultimately be deployed to production where it captures value. It’s critical to reduce time-to-production. Software - for many organizations and industries - is a competitive advantage. Organizations break their larger software ambitions into smaller, independently deployable, feature -centric batches of work - microservices. In order to reduce the round-trip between stations of work, organizations collapse or consolidate as much of them as possible and automate the rest; developers and operations beget “devops,” cloud-based services and platforms (like Cloud Foundry) automate operations work and break down the need for ITIL tickets and change management boards. But velocity, for velocity’s sake, is dangerous. Microservices invite architectural complexity that few are prepared to address. In this talk, we’ll look at how high performance organizations like Ticketmaster, Alibaba, and Netflix make short work of that complexity with Spring Boot and Spring Cloud.

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