Which self-managed kubernetes-native CI/CD pipeline is the best choice? Is it Tekton or Argo Workflows? Which one should you pick?Continue reading
Should we be using Jenkins for our Kubernetes CI/CD pipeline needs in 2021? How to deploy Jenkins in k8s? How to run Jenkins builds in Kubernetes? How would a full CI/CD pipeline look like?Continue reading
Tekton is a powerful and flexible open-source framework for creating CI/CD systems aiming at becoming a de-facto standard for running pipelines and workflows in Kubernetes. It allows developers to build, test, and deploy across cloud providers and on-premise systems.Continue reading
Chat is continuous integration (CI), continuous delivery (CD), continuous deployment (CDP), and continuous testing (CT)? How do they differ from each other? Which one should we use?Continue reading
What do we get if we combine events, workflows, GitOps, progressive delivery, and secrets management? The short answer is that we get automation of everything in Kubernetes in a way that we should be operating in 2021.
We’ll combine Argo Events, Workflows & Pipelines, CD, and Rollouts and sprinkle all that with SealedSecrets, Kaniko, and a few other tools.
Argo Workflows & Pipelines is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. It is a cloud-native solution designed from ground-up for Kubernetes.
Since the increase in popularity of continuous delivery (CD), there was an increase in the number of tools marketed as CD solutions. That’s normal. It is only natural for software vendors to ride the waves. They need to sell, and there’s nothing better to sell than whatever is popular at a given moment. Continuous delivery is one of those "popular" waves.
On the surface, there is nothing wrong with buying tools that solve problems. You have a problem, a vendor has a solution, you buy it, they earn money, and you have a good return on investment. Everybody wins, except when the tool does not do what it’s supposed to do. That’s when we run into issues.
The video below is a clip from the "Canary Deployments To Kubernetes Using Istio and Friends" course in Udemy. It provides the introduction to the course we released in December 2019. Additional preview clips are available inside the course. Please use the coupons with discounts provided below.
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Welcome to practical guide to canary deployments. Unlike some other work that I did…tutorials, workshops, and so on and so forth, that were very focused on a single tool, this time I will focus more on a process.
We’re going to try to figure out how to do canary deployments inside of Kubernetes. Because Kubernetes is everywhere now, I will assume that you are using Kubernetes. But outside of that, we are going to try to figure out which tools to use, but all serving as the process itself, not for the sake of learning a specific tool. And during that process, we are going to decide which tools to use and why to use them and the end result will be a fully operational canary deployments process that you will be able to plug into any CI/CD tool or any tool that orchestrates the lifecycle of your application.
So we will definitely choose some tools that we will use in a process.
And those tools will be revolving around Istio. I will explain why Istio a bit later.
So we will use Kubernetes and Istio for canary deployments, but the end result will be agnostic to the tool that will orchestrate your processes. We will most likely also have to choose one or two additional tools. Which tools we’ll choose is yet to be discovered.
For now just think of this as being a practical guide to a specific process. And that process today is canary deployments in Kubernetes.
A while ago, we (Viktor Farcic and Darin Pope) thought it would be a good idea to add an out-of-the-box option to use canary deployments in Jenkins X. We should have finished it by now, and yet we did not even start working on it. Instead of just adding it to Jenkins X, we spent considerable time exploring the subject.