How to Create an AstraDB Database on Cloud

To create an AstraDB database on a cloud account, you can follow these steps and alternatively you can also check out the below video for the video instructions.

1. Sign up for a Datastax Astra Account: If you haven't already, sign up for a free Datastax Astra account at https://astra.datastax.com/register. Datastax Astra is a cloud-based DBaaS (Database as a Service) platform that provides managed Apache Cassandra databases.

2. Log in to the Astra Console: Once you have an account, log in to the Astra console at https://astra.datastax.com.

3. Create a New Database: In the Astra console, click on the "Create Database" button.

4. Choose a Cloud Provider: Astra supports multiple cloud providers like AWS, Google Cloud, and Azure. Select the cloud provider you prefer for hosting your database.

5. Select a Database Type: Astra offers different database types, such as Serverless, Production, and Hybrid. Choose the type that fits your needs best. For example, the Serverless option is good for development and testing purposes.

6. Configure Database Settings: Next, you'll need to configure the database settings. This includes:

   • Choosing a database name

   • Selecting a region for your database

   • Configuring the capacity settings (number of cloud resources)

   • Setting up security settings like authentication and SSL encryption

7. Create the Database: After configuring the settings, review them and click "Create Database" to provision your new AstraDB database.

8. Connect to the Database: Once the database is created, you'll be provided with connection details like the database ID, cloud provider region, and connection bundles. You can use these details to connect to your AstraDB database from various drivers and tools.

9. Manage the Database: In the Astra console, you can manage your database, monitor its performance, scale capacity, add or remove regions, and perform other administrative tasks.

It's worth noting that Datastax Astra offers a free tier with limited resources, which can be useful for testing and development purposes. For production use cases, you'll need to upgrade to a paid plan.