operator-sdk VS Ansible

operator-sdk: brew install operator-sdk

The operator that I've been working on is designed to manage the full lifecycle of a QuestDB database instance, including version and hardware upgrades, config changes, backups, and (eventually) recovery from node failure. I used the Operator SDK and kubebuilder frameworks to provide scaffolding and API support.

I've recently been working on an operator (built using the operator-sdk) that manages cluster node lifecycles. Kind allows you to spin up clusters with multiple nodes, using a Docker container per-node and joining them using a common Docker network. However, the kind executable does not allow you to modify an existing cluster by adding or removing a node.

To illustrate what we can do with an operator, I will create a proof of concept using operator-sdk. According to the official website::

Besides the frameworks TFA lists, you can also build Operators in Ansible or Helm.

https://sdk.operatorframework.io/

Operator SDK is basically just a thin wrapper for kube-builder

You mean the Operator SDK? https://sdk.operatorframework.io

yes I agree with youu, an issue has been opened on the operator-sdk github page regarding this topic https://github.com/operator-framework/operator-sdk/issues/6117

They support for-if from python, too: https://jinja.palletsprojects.com/en/3.1.x/templates/#loop-f... but I haven't tried the "recursive" keyword to know if ansible supports that. I say "ansible supports that" because they don't just drop jinja2 into ansible and call it a draw, they have a bunch of custom execution integrations: https://github.com/ansible/ansible/blob/v2.16.3/lib/ansible/...

To manage a VM, you can use something as simple as just manual actions over SSH, or can use tools like Ansible, Hashicorp's Packer and Terraform or other automations. For an app where there is minimal load and security/reliability concern, VMs are still a great option that provide a lot of value for the buck

In this article's context, it is simply a tool that provides a declarative way to automate your machine/OS to configure the development machine as you want (install package, modify the configuration, etc). Examples of these tools are Ansible, Puppet, etc.

Now we're getting more tangential, but for years, Ansible releases were named for Van Halen songs (see old Changelog here: https://github.com/ansible/ansible/blob/v1.8.4/CHANGELOG.md)

In the lab to follow, we'll quickly provision a 3-node kubeadm cluster (1 master, 2 workers) on the cloud provider of your choice using an automation stack comprised of OpenTofu and Ansible, then deploy Rook Ceph using the official Helm charts and confirm that we are now able to successfully create CSI volume snapshots from PVCs by reusing the MinIO example from our last article.

Ansible-Core ↗

The lookup works fine when parsed as say a msg and braced in "{{ }}" but we're told not to use jinja delimiters in when statements (no idea on the whys to that to be honest) - The issue lies around the first ": " and yaml sees that everything preceding this being a mapping... I have tried all manner of fixes described in YAML syntax error when string contains a colon + space · Issue #2769 · ansible/ansible (github.com) but no dice... the error is a variety of 'The error was: template error while templating string' type errors depending on what attempted fix I'm applying..

IBM -> RedHat -> Ansible (https://docs.ansible.com/platform.html)

I think the new ansible docs are opaque, and the new "everything is an ansible collection" scheme makes troubleshooting any issues reported by users hundreds of times harder than "the old days"

I keep this (https://github.com/ansible-community/ansible-build-data/blob...) bookmarked because it's the only way to match up what "ansible 8.1.0" (https://pypi.org/project/ansible/8.1.0/) even means since it for damn sure not any of this: https://github.com/ansible/ansible/releases (they used to have a 'release' pinned on that releases tab saying "these are not the droids you are looking for"). I believe I tried asking for them to update the completely erroneous pypi "source code" link to point to that repo and ... well, one can see how well that turned out