The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Rancher Labs has launched its much-anticipated Rancher version 2.5 into the cloud-native space, and we at LSD couldn't be more excited. Before highlighting some of the new features, here is some context as to how we think Rancher is innovating. Kubernetes has become one of the most important technologies adopted by companies in their quest to modernize.
It's safe to say that It's safe to say that Kubernetes is the de facto standard for orchestrating containers and the applications running in them. As the standard, a variety of managed services and orchestration options are available to choose from. In this blog post, we're going to take a look at running the Elastic Stack on Azure Kubernetes Service (AKS) using Elastic Cloud on Kubernetes (ECK) as the operator.
As a Senior Solutions Engineer helping customers deploy cloud-native technologies, I have been using Docker and Rancher for more than five years. Heck, I even helped steer Rancher for offline use when it was the 0.19 release. I have loved the product and company for YEARS. We all know how complicated it is to set up Kubernetes, and customers love Rancher because it simplifies that rollout.
One of the key benefits of using Kubernetes is that it’s very flexible and fault tolerant. However, that also means that it has quite a lot of complexity to deal with. A well-built operator abstracts that complexity away and helps manage updates and upgrades seamlessly. The Mattermost Kubernetes operator is basically like having a Mattermost Cloud Engineer running inside your Kubernetes cluster managing Mattermost for you.
We are about to install and manage Argo CD through a CD pipeline. “Why would we do that? We can just as well accomplish that through a command like kubectl apply or helm upgrade --install.” I’m glad you asked. The primary objective of Argo CD is to help us apply GitOps processes when deploying applications. It is directing us towards the world in which everything is defined as code, and all code is stored in Git.