Develop locally, then make globally accessible:

Here's an example of how you can establish a cost-effective website using Kubernetes.

The process involves some effort, but it's manageable and can be accomplished with minimal expenses. This approach is adaptable and applicable in various scenarios. To clarify, this guide offers a direct route to implementing a solution based on the initial setup. The instructions might seem lengthy, primarily due to the inclusion of debugging steps. However, the outcome is a functional free website suitable for scenarios with relatively moderate levels of traffic.

To scale efficiently with increasing traffic, consider deploying multiple Kubernetes instances within Kubernetes stacks using the same approach. This strategy prevents congestion and ensures smooth operation as visitor numbers rise. Meaning a k8s-in-k8s can still be a production environment even for a local development cluster. This makes it easy to use even acorn.io to do, allowing for an easier time to work in standing up a website for public use. With an http-endpoint-pattern defined, your application will be accessible to the public internet. Until to tell that bit of it not to be publicly accessible. And then it has died graciously.

This also makes it easy to recycle tunnels by name. Making adding an A or CNAME record into cloudflare dashboard easy. Now, while spoofing DNS records can be done, the reason to do so is to have those records be available for use for representing your TLD (Top Level Domain). "google.com", for example. If [Google] wanted to, they could do this and save on infrastructural costs as a registrar. In doing such, what happens is this: * anything that is computationally too intensive gets rebalanced with another cluster or flask application in a docker container on kubernetes through acorn

* the records then fed into cloudflare dashboard to support listening on that name with those ngrok subdomains it is forwarding traffic to.

* (optional) backup and restore, seamlessly, even with a snapshot of your cluster.

* changes with next to 0 downtime

* reduction in cloud compute costs

* run locally anywhere k8s does, then stand up so it can be used by cloudflare DNS for anyone going to your domain name listed in their records

This gives one the benefit of an actually free website if you know what needs to be setup even in a gradient paperspace ubuntu container. The compute cost should be close as possible to $0 as you can get it. And practically & factually, GPT-3&4 and myself, got as close as possible. But the work itself isn't necessarily free. And knowing what is worth not throwing a companies money on matters as much as the work itself. If you end up doing no analysis on what your solution costs, it might be costing them time or money, if not both if one has not. For most companies, it costs them a lot for that same compute power. Not only is it costing them by the hour, it is costing them at the implementation level because some implementations have too many moving parts. And the lack of dependency checks before deployment into production environments also costs on both time and money. This includes the time and money a company and team must spend on reimplementing. I personally would consider building it simpler and try to hash out the essential pieces needed before one started building on kubernetes. I currently use acorn.io with a docker file, an acorn file, and things needed for a simple flask app. If I put it inside a zip file to be used on paperspace gradient projects, I can more than likely have run in the cloud, free, and update a single DNS record. This essentially would allow me and others to have a website hosted at next to no cost other than time spent setting it up and getting it working. For the most part, it would cost anyone using such a setup nothing other than the time and elbow grease to implement. Now, "why do this?". * It was simpler * It would be accessible to more people readily * Anyone can set such up * Fewer parts to copy-pasta * Saves time to work on apps and services as needed * Reduces the amount needed of tooling to secure any app * Develop until stable, then make publicly accessible (into production use) * If you're trying to build an AI that is running on multiple clouds * If you needed a lightweight deployment of kubernetes from local stand up to the public internet without incurring a financial expense on a company The parts that should be running securely shouldn't be port exposed over ngrok. As far as I know, only the ports ngrok is pointed towards will be made publicly accessible. So, most of your stack should still be secure even without the RBAC security roles applied. This isn't to say they're not needed. But maybe applying too many rules/roles for security isn't the best option either because then you expose 2+ attackable interfaces instead of 1 to have to fix.