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Helm Dashboard is an open-source project by Komodor that offers a visual and user-friendly way to manage and visualize all the Helm charts installed in your clusters. Instead of using the terminal, you can leverage the Helm Dashboard’s intuitive UI to perform a variety of tasks that make working with Helm a breeze. Here are some of its key features: Visually pleasing chart list: The dashboard presents all the installed charts in an aesthetically pleasing manner. Comprehensive K8s resource view: Get a clear overview of the Kubernetes resources associated with each chart installation. Manifest visibility: Easily access and examine the manifests included in the charts. Chart upgrade notifications and UI execution: Stay informed about available chart upgrades, and perform upgrades directly from the UI. One-click rollback: Effortlessly revert to a previous chart installation with just one click. Manifest diffing: Quickly identify and understand the differences between manifests when upgrading or rolling back to a different version. In addition to these features, Helm Dashboard offers many other handy functionalities, which I will discuss further in the article. To summarize, almost anything you can do via the CLI, you can now accomplish with a few simple clicks in this elegant UI. ...

I have written extensively about different Kubernetes concepts in my previous blogs, but I haven’t covered a proper, step-by-step hands-on guide for getting started with Kubernetes. In this article, my plan is to do exactly that. After all, there’s only so much you can learn by reading without trying things out yourself. We will take a simple microservice-based application, containerize it, and deploy it to a Kubernetes cluster. I will be using Google Cloud for this, but you can use any cloud provider to follow along. Without wasting any more words, let’s get started! ...

Rushing to a cloud provider and spinning up a remote cluster every time you want to try something out with Kubernetes isn’t always convenient - nor is it economical. minikube provides a way to run Kubernetes clusters locally so that you learn and play around with K8s. It is an excellent way to test things out before working with an actual cluster in the cloud. In this article, we’re going to launch a minikube cluster and see all the interesting features minikube has to offer. If you’re new to the Kubernetes world, I recommend checking out my Kubernetes for Beginners series before proceeding with this article. ...

In the previous post, we talked briefly about EC2. In this post, we’ll explore it in a bit more detail. We’ll launch an instance and use it to run an nginx web server which will be accessible from anywhere using a URL. So without further ado, let’s get started :) Search for “EC2” in the AWS search bar. From there click the “Launch Instance” button. Now you would see a screen to choose an AMI. AMIs (Amazon Machine Images) are nothing but virtual machine images. For this blog, we’re going to select the “Amazon Linux 2 AMI (HVM), SSD Volume Type” with the x86 option. On the “Instance Type” screen we select the kind of hardware we want to be allocated to our VM. This is basically like choosing the configuration (CPU, RAM, etc) for our computer which would act as the server. Let’s go with “t2.micro” here. From here click on “Review and Launch” and finally on the next screen click on “Launch”. ...

This article is going to introduce you to the Infrastructure as a Service side of AWS. We’ll start from the basics of how accounts in AWS work and cover some fundamentals in this article. Then in the next post, we’re going to do something a bit more hands-on and see EC2 and S3 in action. AWS Accounts? So let’s talk a bit about AWS accounts first. If you just have a username and password for your account then you have what is called a root account. If you were sent a username, password, account id, and/or a special link to log in then you have an IAM user account. ...