Deployment and Packaging
There are seemingly infinite ways to get code from a developer into production. In the simplest example, a website hosted on GitHub pages has a single step—a developer commits code—and the changes are reflected in production. In most applications, however, there are many more steps between the developer and the results being live in production, and they can vary from application to application. There numerous are different ways to assemble a deployment pattern.
A deployment pattern generally contains elements from four key areas.
Each of these areas satisfies different requirements based on a particular application’s needs. For applications like human resource systems, compliance and audit is crucial, whereas for a mobile website, continuous integration and rapid deployment are most important.
What kind of tools are needed to meet the requirements of those areas? Which users will directly interact with or manage which tools?
From a developer’s perspective, the items on the left are the most important, because developers use them on a daily basis. But there are a lot of components on the right-hand side that can be necessary before going into production. When it comes to this particular pattern, that is where there will not only be deeper dives on each of these areas and tools, but also examples of where these components are brought together to deliver code from commit to production.
Guides
Videos
Code Samples
Install files and demo pipelines for getting started with Concourse CI
A collection of examples for Tekton
Blogs
Getting a better picture of Kubernetes events
YAML gets a lot of hate, but is it more nuanced than that?
Setting up JupyterHub on Kubernetes
Using JupyterHub on Kubernetes
Walk through an NGINX deployment with a faulty NGINX configuration to demonstrate how common pitfalls can be identified using Octant.
Learn how to configure your local Kubernetes environment to work with secure ingress and reproducible URLs, so that development is made easier.
How does Python look in the cloud-native world of today?
Compare various options for declarative deployment of microservices in Kubernetes.
Looking at recent changes in .NET 3.0 and 3.1 for containerized workloads
Compare various options for developing on top of Kubernetes locally using Minikube, kind, and Docker Desktop.
Demystify containers and cover some networking basics
Building Containers from your code.
Develop apps to run on the cloud right on your laptop.