In this post I describe a problem I had running IdentityServer 4 behind an Nginx reverse proxy. In my case, I was running Nginx as an ingress controller for a Kubernetes cluster, but the issue is actually not specific to Kubernetes, or IdentityServer - it's an Nginx configuration issue.

So you have a Kubernetes cluster and are using (or considering using) the NGINX ingress controller to forward outside traffic to in-cluster services. That’s awesome!

This is aimed at people that just begin exploring Google cloud / Kubernetes, and an attempt to consolidate the week of (sometimes confusing) research

When it comes to infrastructure, Kubernetes and its associated ops discipline ClusterOps are definitely the hottest new tech to burst onto the scene for quite a while.

There are multiple formats that certificate and associated key files can be in (they can even be combined into a single file). In order to create a Kubernetes TLS secret I needed to ascertain the right ones to use.

Recently, someone asked me what the difference between NodePorts, LoadBalancers, and Ingress were. They are all different ways to get external traffic into your cluster, and they all do it in different ways. Let’s take a look at how each of them work, and when you would use each.

If you want to expose any service running inside Kubernetes there are a couple of ways of doing it, a very handy one is to have an Ingress. In this post we are going to explain ingresses, ingress controllers, ingress definitions and the interaction between them.

With Docker dominating the delivery workflow, it’s become imperative that your container images can be trusted. How can your users be sure that the image content they’re downloading is what you’ve created? How can you verifiably prove that you are, indeed, the creator of an image?

In previous articles, we’ve been talking about how to use Kubernetes to spin up resources. So far, we’ve been working exclusively on the command line, but there’s an easier and more useful way to do it: creating configuration files using YAML. In this article, we’ll look at how YAML works and use it to define first a Kubernetes Pod, and then a Kubernetes Deployment.

In this article we will be looking at building a simple contacts demo web application using Angular 8 front end and JAVA Spring Boot backend with mangoDB as a storage. We will containerize this app with help of docker and deploy to Google Kubernetes cluster.