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Stupid Simple Kubernetes: Everything You Need to Know to Start Using Kubernetes

In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this blog series, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.

The History of Cloud Native

Cloud native is a term that’s been around for many years but really started gaining traction in 2015 and 2016. This could be attributed to the rise of Docker, which was released a few years prior. Still, many organizations started becoming more aware of the benefits of running their workloads in the cloud. Whether because of cost savings or ease of operations, companies were increasingly looking into whether they should be getting on this “cloud native” trend.

Managing Sensitive Data in Kubernetes with Sealed Secrets and External Secrets Operator (ESO)

Having multiple environments that can be dynamically configured has become akin to modern software development. This is especially true in an enterprise context where the software release cycles typically consist of separate compute environments like dev, stage and production. These environments are usually distinguished by data that drives the specific behavior of the application.

Kubernetes Cloud Deployments with Terraform

Kubernetes is a rich ecosystem, and the native YAML or JSON manifest files remain a popular way to deploy applications. YAML’s support for multi-document files makes it often possible to describe complex applications with a single file. The Kubernetes CLI also allows for many individual YAML or JSON files to be applied at once by referencing their parent directory, reducing most Kubernetes deployments to a single kubectl call.

Kubernetes Master Class: Creating RKE2 Cluster Templates

Rancher 2.6 introduces a new Cluster-API based provisioning mechanism for RKE2 and K3s clusters. This also brings a completely new cluster templating system, which is based on Helm charts and is much more flexible compared to the old RKE1 cluster templates. In this master class, you will learn how the Cluster API works, how you can leverage it in Helm Charts, how to do versioning and how to create a nice UI wizard for them.

Rancher Desktop Now Includes The Rancher Dashboard

With the 1.2.0 release of Rancher Desktop, there are two new features available as a Feature Preview. Rancher, the multi-cluster Kubernetes manager, includes a dashboard which enables you see and interact with resources in a Kubernetes cluster. Rancher Desktop now includes this dashboard. The dashboard will enable you to view and interact with resources in your local cluster provided by Rancher Desktop.