foreman VS kubernetes

Still a bunch of stuff that runs on ruby that isn't webdev, https://github.com/theforeman/foreman is a big one I can think of. Ruby's quite nice for sysadmin tasks, puppet, chef etc all in ruby iirc.

Foreman

Not to be confused with the larger foreman[0] also written in ruby.

[0] https://theforeman.org

I was confused because there is https://github.com/ddollar/foreman and https://github.com/theforeman/foreman

In case you're unable to use intune, a free approach might be https://theforeman.org/ That works well for provisioning baremetal windows (with discovery image or pxe boot) once you've set it up. It supports script access as well as a nice hierarchy for configurations. But it's really not as well documented as it should be.

I use the foreman with puppet and pxe/kickstart scripts to automate VM/baremetal provisioning etc.

It comes from the remote execution user snippet: https://github.com/theforeman/foreman/blob/develop/app/views/unattended/provisioning_templates/snippet/remote_execution_ssh_keys.erb

KVM & Foreman

Might want to look into https://theforeman.org/ if it's not too complex for you

The iso images are typically locked at a certain verison. The update repositories sounds like what you are looking for to cache updates. Look into theforeman.org and specifically the plugin Katello. This is an upstream for Red Hat's Satellite product. Another option would be Canonical's MAAS. Both of these options Sound like what you are headed for unless you really just mean synchronize into a folder and store the images in which case yeah.....just use rsync.

In containerized environments like Kubernetes or Amazon ECS, configuration is often injected as environment variables or mounted as files. Your app starts up with fresh values every time—no rebuilds needed.

The Official Kuberenetes GitHub

Using containerization: Containerization, such as Docker or Kubernetes, can help to simplify the deployment and management of microservices by providing a lightweight and portable way to package and run applications.

The implicit argument is that there's some irreducible non-negotiable project complexity in real-world software, and the explicit argument in the post is that you can either put it into the language/compiler or keep it in wetware.

The supporting argument in the text is that even simple things like downloading a file can get hairy very fast. Networks are complex, HTTP, IPv4/v6, DNS - it's always DNS! - filesystems, permissions, running out of space, computer runs out of battery, etc.

Probably a better argument would be to focus only on application logic (type system, error handling, syntactic-semantic ergonomics) and show that a complex piece of Go [like the k8s persistent volume controller] can be written in a nicer, more maintainable, safer way in Rust.

Of course not all Go code achieves Kubernetes-level complexity. And I think it makes sense to pick the right tool for the job, which is whatever the team/programmer is productive with. (And here productivity is measured based on how well the resulting code/software solves the business case. And basically if there's no need for Rust-level safety/quality/maintainability, or if there's an explicit need for Go-level cheaper hackability, then that's a great result business-wise.)

The important corollary of this is that business requirements tend to change, yet software has inertia and that's roughly how we ended up with insert famously bad software that got wildly popular unexpectedly (for example Windows, Macromedia/Adobe Flash and the infamous plugin, random low-level crap in appliances, and adjacent to that the Bluetooth stack that got rewritten in Rust for Android).

So - of course - for society it would be amazing if software would be better from the start. (Duh!)

https://github.com/kubernetes/kubernetes/blob/60c4c2b2521fb4...

Trends in DevOps and containerization on Kubernetes.

When designing a Go project, look to real-world examples like Kubernetes, Vault and the Golang Standards Project Layout. These showcase how powerful Go can be when the architecture embraces simplicity over rigid structure. Rather than trying to make Go fit a Clean Architecture mold, embrace an architecture that’s as straightforward and efficient as Go itself. This way, you’re building a codebase that’s not only idiomatic but one that’s easier to understand, maintain, and scale.

For more on Dapr, check out Part 1 of our series. You can also learn more about Kubernetes, AWS EKS, and microservices architecture to deepen your understanding of the concepts discussed in this post.

Introduced by Heroku and picked up by Papertrail, logfmt became the go-to for fast, high-volume logs. Kubernetes, Docker, and microservices architectures swear by it. It’s efficient and straight to the point.

Access the repository for code and documentation.