Containers

In a previous post we covered the use of pods and deployed some “naked pods” in our Kubernetes cluster. In this post we’ll expand our use of pods with Replica Sets. Replica Sets - The Theory One of the biggest reasons that we don’t deploy naked pods in production is that they are not trustworthy. By this I mean that we can’t count on them to always be running. Kubernetes doesn’t ensure that a pod will continue running if it crashes. A pod could die for all kinds of reasons such as a node that it was running on had failed, it ran out of resources, it was stopped for some reason, etc. If the pod dies, it stays dead until someone fixes it which is not ideal, but with containers we should expect them to be short lived anyway, so let’s plan for it. ...

We’ve got a Kubernetes cluster setup and we’re ready to start deploying some applications. Before we can deploy any of our containers in a kubernetes environment, we’ll need to understand a little bit about pods. Pods - The Theory In a docker environment, the smallest unit you’d deal with is a container. In the Kubernetes world, you’ll work with a pod and a pod consists of one or more containers. You cannot deploy a bare container in Kubernetes without it being deployed within a pod. ...

I’ve been wanting to have a playground to mess around with Kubernetes (k8s) deployments for a while and didn’t want to spend the money on a cloud solution like AWS Elastic Container Service for Kubernetes or Google Kubernetes Engine . While these hosted solutions provide additional features such as the ability to spin up a load balancer, they also cost money every hour they’re available and I’m planning on leaving my cluster running. Also, from a learning perspective, there is no greater way to learn the underpinnings of a solution than having to deploy and manage it on your own. Therefore, I set out to deploy k8s in my vSphere home lab on some CentOS 7 virtual machines using Kubeadm. I found several articles on how to do this but somehow I got off track a few times and thought another blog post with step by step instructions and screenshots would help others. Hopefully it helps you. Let’s begin. ...

We love Kubernetes. It’s becoming a critical platform for us to manage our containers, but deploying Kubernetes clusters is pretty tedious. Luckily for us, cloud providers such as AWS are helping to take care of these tedious tasks so we can focus on what is more important to us, like building apps. This post shows how you can go from a basic AWS account to a Kubernetes cluster for you to deploy your applications. ...

We love Kubernetes. It’s becoming a critical platform for us to manage our containers, but deploying Kubernetes clusters is pretty tedious. Luckily for us, cloud providers such as AWS are helping to take care of these tedious tasks so we can focus on what is more important to us, like building apps. This post shows how you can go from a basic AWS account to a Kubernetes cluster for you to deploy your applications. ...