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.

Getting your Python code into production is the most rewarding thing you can do. It's where users meet your apps, and where you finally get recognition for the time, energy, and skill that you've poured into your code. But without the right platform, getting Python into production can be a real pain in the proverbial. Let Ben Wilcock (@benbravo73) show you how to do it in seconds using open-source tools.

Python apps go great with containers. Docker, Kubernetes, Cloudfoundry, Public Cloud, Private Cloud, they're all awesome places to run your containers. But getting your apps into containers is a tricky business, particularly if you have tens or hundreds of apps to manage, and maintain. Your containers have to be secure, reproducible, and easy to rebuild when vulnerabilities strike or upgrades are required.

In this session we are going to show you how to get your Spring apps up and running on Kubernetes. This session will take you from everyone’s favorite place on the internet, start.spring.io all the way to automated deployments directly to Kubernetes. We will cover tools, as well as best practices, that will make getting your Spring app from your dev machine to your Kubernetes (production) even faster and easier. In addition we will spend some time showing you how to use Spring Cloud Kubernetes to build cloud native Spring apps that run on Kubernetes. By the end of this session you will have all the knowledge you need to target Kubernetes as your production environment.

Whatever you want to call it, “legacy” software is a problem. In one of our recent surveys, 76% of executives said they are too invested in legacy applications to change how they do software. It can seem hard, but fixing that blocker is possible. As with all things in software, there is no quick fix, it just takes discipline, work, and time. In this episode, Coté talks with VMware Tanzu’s Rohit Kelapure who’s been working in application modernization for years. He goes over the initial portfolio analysis and thinking that the Pivotal Labs application modernization teams walk customers through.

ZIM´s approach to software development and software delivery has changed thanks to the new methodologies learned by ZIM's IT team while working with VMware Pivotal Labs and using Tanzu Application Service. Today, the IT team members and business personnel are working together as one team, with constant interaction and fast product delivery, while prioritizing according to the highest business value. Thanks to VMware Pivotal Labs and Tanzu Application Service, ZIM is now a company that relies on cloud-native development that can meet the ever-changing requirements of a competitive environment, with minimal time from concept to production.

What’s new in the world of VMware Open Source? Tiffany and Paul will explore (and try to run!) a number of Open Source projects that VMware is involved in. You'll see us run Contour, Harbor, and Velero on a Kubernetes cluster and use Octant to visualize it.