Let Ben Wilcock (@benbravo73) show you how you can set up your local development environment for Spring Cloud Data Flow on Kubernetes. Using simple tools like Kind, Helm, and K9s, Ben will get you up and running and ready to deploy apps in less than 5 minutes!

Getting started with Spring Cloud Data Flow on Kubernetes doesn’t have to be difficult! With Ben Wilcock’s (@benbravo73) handy video guide and Data Flow’s ready-made components, you’ll have your first data stream up and running in under 5 minutes.

It takes two shakes of a Lamb’s tail (about 5 minutes).

GUI dashboards make you wince. Not a problem. Spring Cloud Data Flow includes a fully-featured command-line interface that you can use to keep your browser tab-count low and your productivity high.

Islands In The Stream. Not just a Country classic, they’re also a fact of life for data streaming apps — sending data in different directions depending on your processing logic. Implementing these forks/splits/channels is easy in Spring Cloud Data Flow for Kubernetes once you know how. Ben Wilcock (@benbravo73) takes you through an example step by step, starting with the code and finishing with the configuration and deployment. All in under 7 minutes!

Custom controllers and custom resource definitions are all the rage in Kubernetes today! In conjunction, they allow users to extend the Kubernetes API and introduce additional features. In this session, we’ll explore both custom resource definitions and custom controllers by trying out popular projects that allow us to craft a new controller from scratch! Angela Chin is a Senior Engineer at VMware, working on Tanzu Application Service (for both VMs and Kubernetes!).

Learn about the framework that enables enterprises to become wildly successful with Kubernetes based platforms in partnership with VMware Pivotal Labs.

Learn how to upgrade the Kubernetes version of a Tanzu Kubernetes cluster when there is a new release. The best part is that it’s all done in just a few easy steps using the Tanzu Kubernetes Grid Service for vSphere.

With Kubernetes, everything from deployment to monitoring to scaling is more standardized and inherently easier to automate. This presents the possibility to achieve a more effective and comprehensive Continuous Integration (CI) and Continuous Delivery (CD) experience. We can incorporate the practice of infrastructure-as-code and take advantage of a flourishing ecosystem of tools to improve and fully automate our application deployment strategies. In this session, we'll tour the landscape of new Kubernetes-centric tooling, including Tekton, Kustomize, and ArgoCD. We'll also explore how GitOps can be leveraged for CI/CD.

How can we better collaborate on creating useful APIs? How to reduce the testing time of your application? How can the team build API backwards compatibility verification into their deployment process? In this talk, Olga will discuss how to leverage the Consumer-Driven Contracts approach to solve these and other issues and present one of CDC implementations - Spring Cloud Contract. Olga will discuss practical use-cases and look at code examples.