rancher VS kubernetes

Did something happen to the Apache 2 rancher? https://github.com/rancher/rancher/blob/v2.7.5/LICENSE RKE2 is similarly Apache 2: https://github.com/rancher/rke2/blob/v1.26.7%2Brke2r1/LICENS...

I follow the 4 ABCD steps bellow, but the first pod deployment never ends. What's wrong in it? Logs and result screens are at the end. Detailed configuration can be found here.

CVE-2023-22651 is rated 9.9/10 : https://github.com/rancher/rancher/security/advisories/GHSA-6m9f-pj6w-w87g

Depends. When I came into my last company I immediately noticed the lack of reproducible environments. Brought this up a few times and was met with some resistance because "we didn't have the capacity"... Until prod went down and it took us 23 hours to bring it back up due to spaghetti terraform.

For the latest releases of rancher: https://github.com/rancher/rancher/releases When is Rancher 2.7.1 going to be released? The Rancher support matrix for 2.7.1 shows k8s v1.24.6 as the highest supported version and Azure will drop AKS v1.24 in a few months... Should this be a concern for us? What could happen if we create our cluster with Rancher for an unsupported K8s version? 1.25 for example. - Rancher 2.7.2 just got released including support for 1.25. I have however tested running unsupported versions before, unless there is major deprecations in the kubernetes API it is fine in my experience. If we move to AKS imported clusters, in case we add node pools, and upgrade the cluster, will those changes be reflected in the Rancher Platform? - Yep! If we face some issues by running an unsupported K8s version on Rancher Launched K8s clusters, is it possible to remove it from Rancher, do the stuff we need, and then import it into the platform? - Yes, however be careful and do testing before doing in prod. From top of mind: Remove cluster from rancher (if imported), if rancher created you might want to revoke ranchers SA key for the cluster first (so it can't remove it). Delete the cattle-system namespace, and any other cattle-* namespaces you don't want to keep. And do your thing. It looks like AKS is faster than Rancher regarding supported Kubernetes versions... We would like to know if Rancher will always be on track with AKS regarding the removal of K8s version support and new versions. - In my experience yes. (Been using rancher on all three clouds for a 4 years now). What are exactly the big differences between imported AKS and Rancher-launched AKS? What should we look at, and what issues can we face when using one or another? - The main difference is that rancher will not be able to upgrade the cluster for you. You will have to do that yourself.

variable "rancher" { type = object({ namespace = string version = string branch = string chart_set = list(object({ name = string value = string })) }) default = { namespace = "cattle-system" # There is a bug with destroying the cloud credentials in version 2.6.9 until 2.7.1 and will be fixed in next release 2.7.2. # See https://github.com/rancher/rancher/issues/39300 version = "2.7.0" branch = "stable" chart_set = [ { name = "replicas" value = 3 }, { name = "ingress.ingressClassName" value = "nginx-external" }, { name = "ingress.tls.source" value = "rancher" }, # There is a bug with the uninstallation of Rancher due to missing priorityClassName of rancher-webhook # The priorityClassName need to be set # See https://github.com/rancher/rancher/issues/40935 { name = "priorityClassName" value = "system-node-critical" } ] } description = "Rancher Helm chart properties." }

When I searched DuckDuckGo instead, the 12th link actually had the real answer. It's in this issue on Rancher's GitHub. Turns out the Rancher admin needs to be in all of the Keycloak groups they want to have show up in the auto-populated picklist in Rancher. Being a Keycloak admin and even creating the groups isn't good enough. Frustratingly, the "caveat" note the Rancher guy is pointing to that says this is only present in the guide to setting up Keycloak for SAML, but apparently this is also true for OIDC.

Explicitly set TLS 1.3 in Rancher, though it could be a bug in Rancher: https://github.com/rancher/rancher/issues/35654

Thanks. Yeah looks like this might work: https://github.com/rancher/rancher/releases/tag/v2.7.2-rc3

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.