This guide provides detailed instructions for deploying the daytonaio/daytona project in a production environment.

Prerequisites

Ensure you have the following in your production environment:

• A compatible version of Go installed.
• Docker installed and configured to run.
• Appropriate server permissions to install and run the application.

Build the Application

Step 1: Clone the Repository

Begin by cloning the repository that contains the daytonaio/daytona codebase.

git clone https://github.com/daytonaio/daytona.git
cd daytona

Step 2: Build the Go Application

In the project directory, use the Go command to build the application. Remember to specify the module name correctly to ensure that the output is as expected.

go build -o daytona github.com/daytonaio/daytona

This command compiles the application which can then be executed in the production environment.

Running Tests

Before deployment, it is crucial to ensure that all tests pass. The code may have certain files that define build constraints when running tests, specifically those marked with // +build testing.

Run the following command:

go test ./...

This command will execute all tests present in the codebase, enabling you to verify functionality before deployment.

Create Docker Image

Step 3: Create a Dockerfile

Below is the provided Dockerfile, which installs the necessary dependencies and sets the application to run inside a Docker container.

FROM ubuntu:22.04

RUN apt update -y && \
    apt install curl libgit2-1.1 -y

USER daytona

ENTRYPOINT ["sudo", "dockerd"]

Step 4: Build the Docker Image

Execute the following command to build your Docker image:

docker build -t daytona .

Step 5: Deploy the Docker Container

To run the application in a container, use the following command:

docker run -d --name daytona-container daytona

The -d flag runs the container in detached mode.

Verification

Once the Docker container is running, verify its status:

docker ps

Ensure that the daytona-container is listed as running.

Conclusion

With these steps, the daytonaio/daytona project should now be successfully deployed in a production environment. This guide is aimed at experienced developers and assumes familiarity with Docker, Go modules, and building applications in a Linux environment.

Source: Documentation provided.