crossplane VS spec

did anyone adopt in production https://crossplane.io ?

- https://github.com/crossplane/crossplane/blob/master/design/one-pager-composition-environment.md

In the overall scheme of things , look at services like backstage.io , crossplane.io and opslevel.com to get ideas. This is not necessarily an endorsement of the services. If all you want is to handle cloud resources and that's it, Terraform can be enough with what ever flavor of web technologies you and your team are comfortable with and can support it along the way. Doesn't take much to create a js based website to collect data from a form, or use other means to collecting data as long as its recorded and transparent for accountability.

XRs are written in a fully declarative manner. And when I am building my XR from underlying managed resources provided by some crossplane provider I need to parametrize resources, use conditionals and create arrays of resuorces The issues of declarativeness in the world of automation are well known- we typically resort to some form of templating and we invent some imperative expressions into that templating language/format. This is currently not very well supported with Crossplane however Crossplane team realizes this issue and they are conteptualizing solution here

I have an idea for a project that would interface with Crossplane. The project has some code that would save tons of time if I could use it directly in my project, but it is located in the internal directory. I can't import the modules directly, but the project is open sourced under an Apache 2.0 license, so the code itself is available for use under that license.

There are always new projects like crossplane that sit on top on architecture systems like terraform, vagrant. The pressure to abstract away any sort of resources is mounting, companies can save a lot by for example by alt hosting S3 endpoints. The train is going the direction not to tie anything to a specific platform implementation if its not a must. Most of the companies I work with use AWS as a hosting provider, but Microsoft for github and related CI matters. As I learned, AWS quality is very dependent on location, eu-central-1 is dead stable for our use cases serving about millions requests a day.

Practically, you'll be replacing stock k8s resources (deployments) with custom ones like Argo Rollouts with Keda autoscaling, so you have to plan the respective Gitops CD pipeline (fluxcd/argocd with some crossplane), as well.

I had a really (what I thought at the time) cool idea for a new Kubernetes storage driver, so I implemented the basic version in an evening. That's the first "rave-worthy" event - the architecture of these drivers is fairly complex and there are many ways to do it (see https://github.com/container-storage-interface/spec/blob/master/spec.md) so getting something working as I imagined it, knowing nothing beforehand, was the first moment of joy. The next day (after sharing in a few slacks) I got a DM from a tech lead at and he was really excited about the idea! That second affirmation that someone was excited about the project and wanted to brainstorm with me was my second moment of joy. And then for the third, last night and (some of today, still going to do more after dinner soon!) I've been doing detail work, and learning a ton, debugging, learning, making it slowly better... that flow state (often with music) is probably the closest thing to the idea of a rave. Anyway, that's my story! I love learning Kubernetes stuff, I'm so grateful I've been able to in my current role.

But if all of these are not an issue, then Containers and an orchestration system like Kubernetes can always take care of workload portability especially with OCI now in place for containers and CSI, CNI, CRI, SMI for storage, networking, runtime and service mesh respectively creating a healthy standards based ecosystem for all thereby enabling workload portability without lock-in since for a workload to be truly portable, all the underlying resources should be portable without any/very limited changes.

CSI (Container Storage Interface) is a standard which helps establish interoperability between multiple storage providers avoiding the need to have in-tree plugins within the core. So, any storage provider who supports CSI can work with Kubernetes without any issues. You can find a complete list of providers supporting CSI here