I'm developing enterprise applications in Azure, using services like databases, web servers, functions, and a service bus. With user loads in the hundreds (not thousands), we deploy everything to the cloud, maintaining multiple environments for development—sometimes 5 to 10 per application, across numerous integrated apps. Our stack involves Terraform and Kubernetes. I'm wondering if it's feasible to set up a few local PCs for deployment using Docker or OpenShift instead. Would this make sense financially, particularly for development? What would be the effort involved in maintaining it?
6 Answers
Check out this repo I created: [o11y](https://github.com/chazapp/o11y). It’s got everything already configured for observability with just a single Terraform apply to Minikube. It could be a solid starting point for your local setup!
I recently transitioned from Docker Compose to Minikube. It's a step in the right direction, but keep in mind it's still not quite the same as working in AWS or GCE directly.
Absolutely! You could consider using tools like Minikube or k3s for this purpose. Just keep in mind, if it’s strictly for development and not exposed outside your local environment, the maintenance effort should be manageable. However, it might be tricky to achieve a setup that's exactly replicable in production, so be ready for that 'it works on my laptop' moment later!
It's best for dev environments to mirror production environments as closely as possible. Testing under the same conditions helps eliminate issues when you go to deploy your app in production.
Maybe? At the scale you're talking about, the biggest cost is really in development time. You'll need to factor in the hours it takes to set everything up, train the team on the new environment, and keep it running smoothly. It might actually be quicker to optimize your existing cloud setup instead, like using cost-saving measures or scaling down during off hours.
For sure! Just treat the laptop as if it’s a regular node or hypervisor. It can definitely work!

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