Creating an environment

Use this procedure to create an environment in which you can create and run the projects.

1. Click the menu icon and select Environments.

Environment Menu

The environment dashboard (card view) is displayed.

1. Click the plus icon. The Create a new environment window appears.

Environments Window

1. Specify this information:

   • Environment name: The name of the environment.

   • Environment description: A brief description about the environment.

   • Environment type: The type of environment. Possible values:

     • EXTRA SMALL: 1 Core, 1GB Memory, and 5GB Disk Space

     • SMALL: 1 Core, 2GB Memory, and 20GB Disk Space

     • MEDIUM: 2 Cores, 4GB Memory, and 20GB Disk Space

     • LARGE: 4 Cores, 8GB Memory, and 20GB Disk Space

     • CPU_LARGE: 8 Cores, 16GB Memory, and 20GB Disk Space

     • MAX_LARGE: 12 Cores, 32GB Memory, and 20GB Disk Space

     • EXTRA_MAX_LARGE: 12 Cores, 48GB Memory, and 20GB Disk Space

     • CUSTOM: Select this option to configure the hardware requirements according to the project requirements.

   • Cores: The number of CPU cores reserved for this environment. This field is displayed only if you set the environment type to CUSTOM. You can provide the core values ranging from 1 to 12.

   • Memory: The memory allocated for the custom environment. This field is displayed only if you set the environment type to CUSTOM. You can provide the memory ranging from 1GB to 48GB.

   • Disk space: The disk space allocated for the custom environment. This field is displayed only if you set the environment type to CUSTOM. You can allot the disk space ranging from 1GB to 100GB.

Environment Configuration

1. Specify the libraries you want to install in the Python Libraries and Linux Libraries tabs. You can add the Python libraries required for data transformations in the Python Libraries tab. In the Linux Libraries section, when the operating system is Linux with Python installed on top, certain libraries may not be supported by Python alone. In such cases, you can install Linux libraries to enable seamless use of Python libraries in the environment.

2. Click Create Environment. The created environment can be viewed on the Environments dashboard.

Environment Dashboard