DeepSea is an open-source project developed by Red Hat that provides a comprehensive solution for deploying and managing OpenStack clouds. It is designed to simplify the process of setting up and maintaining an OpenStack environment, making it easier for organizations to adopt and manage their cloud infrastructure. In this guide, we will walk you through the detailed steps to deploy DeepSea locally, allowing you to test and experiment with OpenStack without the need for a large-scale cloud environment.
Prerequisites
Before you begin deploying DeepSea locally, ensure that you have the following prerequisites in place:
- A physical or virtual machine with at least 64GB of RAM and 200GB of storage.
- A minimum of two network interfaces, one for management and one for the OpenStack environment.
- A Linux distribution installed on the machine, such as CentOS 7 or Red Hat Enterprise Linux 7.
- Root access to the machine.
- The DeepSea repository added to your system's package manager.
Adding the DeepSea Repository
To add the DeepSea repository to your system, you need to edit the package manager configuration file. For CentOS 7, follow these steps:
1. Open the terminal and switch to the root user with `sudo su -`.
2. Edit the `/etc/yum.repos.d/deepsea.repo` file using a text editor like `vi` or `nano`.
3. Uncomment the lines that start with `[redhat-deepsea]` and `[centos-deepsea]`.
4. Save the file and exit the text editor.
For Red Hat Enterprise Linux 7, the repository is already included by default, so no additional steps are required.
Installing DeepSea
With the DeepSea repository added, you can now install DeepSea on your machine. Follow these steps:
1. Run the following command to install DeepSea:
```
sudo yum install deepsea
```
2. Once the installation is complete, you can verify that DeepSea is installed by running:
```
deepsea --version
```
Configuring DeepSea
To configure DeepSea, you need to create a configuration file that defines the OpenStack environment. Here's how to do it:
1. Create a new file named `deepsea.yml` in the `/etc/deepsea/` directory.
2. Define the OpenStack components you want to install, such as Nova, Neutron, Cinder, and Glance. Here's an example configuration:
```yaml
openstack:
components:
nova:
enabled: true
flavor:
- name: m1.tiny
ram: 512
disk: 1
vcpus: 1
neutron:
enabled: true
network_type: flat
cinder:
enabled: true
glance:
enabled: true
```
3. Save the file and exit the text editor.
Deploying OpenStack
With the configuration file in place, you can now deploy OpenStack using DeepSea. Run the following command:
```
sudo deepsea deploy
```
This command will start the deployment process, which may take some time depending on your system's resources. During the deployment, DeepSea will install and configure all the necessary components for your OpenStack environment.
Accessing the OpenStack Dashboard
Once the deployment is complete, you can access the OpenStack dashboard to manage your cloud resources. Follow these steps:
1. Open a web browser and navigate to `
2. Log in with the default credentials provided during the deployment process. The username is typically `admin`, and the password is set during the DeepSea configuration.
Verifying the Deployment
After logging into the OpenStack dashboard, you can verify the deployment by checking the status of the services and creating a new instance. Here's how to do it:
1. Navigate to the Compute section in the dashboard.
2. Click on Launch Instance to create a new virtual machine.
3. Fill in the required details, such as the instance name, flavor, and image.
4. Click Launch to create the instance.
If the instance is created successfully, it means your DeepSea deployment is working correctly.
Conclusion
Deploying DeepSea locally allows you to easily set up and manage an OpenStack environment for testing and development purposes. By following the detailed steps outlined in this guide, you can have a functional OpenStack cloud running on your local machine in no time. Remember to explore the various OpenStack features and services to fully utilize your local cloud environment.
