This means that we can expect the Ruby debugger VS Code extension to execute Ruby scripts using something like ruby main.rb Notice how the useBundler option is set to false and the command is set to ruby. This is useful to avoid synchronizing binaries, build artifacts, git metadata, or dependencies like the vendor folders.Copied! ⭐ stignore file to indicate which files shouldn't be synchronized to your development container. forward: a list of ports to forward from your development container.Īlso, the okteto init command creates a.sync: the folders that will be synchronized between your local machine and the development container.For example, this is useful to persist the bundle cache. volumes: a list of paths in your development container to be mounted as persistent volumes.command: the start command of the development container.name: the name of the Kubernetes deployment you want to put on development mode.This file defines how to activate a development container for the Ruby Sample App: Execute the following commands to get a local version of the app. Step 1: Deploy the Ruby Sample Appįor this post, we'll be using a very simple sinatra web app to show you how Okteto speeds up your development cycle. You will be able to take full advantage of using an instant development environment, dependency caching, hot-reloading and even the Ruby debugger while developing your application directly in Kubernetes. On this blog post, we will show you how Okteto improves the developer experience in Kubernetes for Ruby developers. Okteto was created to solve this problem. This flow is not only slow, but it also prevents us from benefiting from standard features of Ruby tools such as hot reloaders or debuggers.

The typical development workflow looks like this: write code, build a Docker image, push it to the registry, redeploy, validate your changes and repeat.

It has rapidly become the standard to run production workloads and the community around it is just great!īut Kubernetes is not designed for developers. Kubernetes is an open-source project for automating deployment, scaling, and management of containers.

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