Tesco Bank has embarked on a digital transformation journey, and at the heart of it lies a shift of culture and the adoption of modern product development practices. What could go wrong? Everything! Culture, leadership, bureaucracy, route to production, you name it. Yet, with the help of VMware Pivotal Labs, we delivered an amazing product during a time of great need for our customers.

Daimler supports its developers with a centrally curated DevOps toolchain, including a cloud native platform based on Cloud Foundry. The idea is to free hundreds of dev teams from operations scaffolding and allow them to instead focus on delivering their products. “Platform-as-a-product” is the strategy to keep up with the demand and the continuous feature evolution. KPIs are part of the platform. Some are consumed by the platform team to measure the success of the platform itself. Others are provided as “KPIs-as-a-service” to the platform customers.

We show you how to use the Wavefront provider for Terraform to manage resources in your Wavefront environment.

Manually creating and managing a handful of containers in a production environment is one thing. But at some point, organizations and teams cross a threshold. That specific point will differ by organization, but after this point, the idea of manually patching, testing, and deploying a fleet of containers will become too much.

An expanded version of her Spring One talk: Make Your Kubernetes Clusters Production-Ready with VMware Tanzu When you first started experimenting with Kubernetes, you may have started locally or on a set of servers. With simple applications, you may only have used a container registry and Kubernetes itself. When looking to move your clusters to a production setting, there are many more considerations, such as: How will I manage my clusters? How do I handle monitoring and logging? How do I safely back up my cluster resources? How do I ensure that my container images are safe and secure?

In this video, we look at the process for getting started using vSphere with Tanzu employing the Virtual Distributed Switch. This is enabled by Tanzu Basic and Tanzu Standard licensing with Enterprise Plus. The process is for the complete setup and configuration of Workload Management and also deploying your first Tanzu Kubernetes Grid cluster.

You may have seen it in your favorite streamers channel: A bot reminding you of an upcoming event, showing their uptime, and offering unique features to improve the experience for the viewer. Behind the scenes you might assume code watching every line of code, ready to respond to pre-programmed commands. But what happens when the channel has 1k views? 10k? 100k? All chatting and interacting, exchanging thousands of messages a second.

Dockerfiles are the defacto tool many developers reach for when transforming source code into images. However, organizations frequently encounter day-2 problems that present serious obstacles to running Dockerfile-built images in production. Cloud Foundry and Heroku fans will be familiar with the previous generation of buildpacks, which work in concert with the platform to solve many of these problems including application and OS-level dependency updates.

Perhaps you have heard of 12-factor apps, cloud-native, or 15-factor apps. Maybe you have wondered if cloud-native was right for you. In this session we will explore how to deliver apps using this methodology on Kubernetes. We will start by explaining the 15-factors. We will also review the cloud native features that are built into Kubernetes. Then we will create a new application, for Kubernetes, and demonstrate how to make it “15 factor cloud native on Kubernetes” !

If you are creating new .NET microservices for the cloud, modernizing existing applications for the cloud, or just plain moving apps to containers, Steeltoe is here to make things much easier. There is a list of things every microservice on a cloud platform should be good at. Unlike IIS on virtual machines an application running in a container is ephemeral - it could be run here today or there tomorrow. Microservices need to be resilient to this change but developers shouldn’t spend loads of time coding for this.