Lab
A Cloud Guru

Creating and Connecting to an Aurora Serverless Database via CLI

Aurora Serverless is an excellent choice for your relational database workloads without needing to worry about scaling, disaster recovery, or maintenance. In this lab, we use the AWS CLI to create an Aurora Serverless (MySQL) database and show how we can run queries against it using the RDS Data API. All of this will be done from the command line.

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Path Info

Level

Intermediate

Duration

45m

Published

Nov 01, 2019

Challenge

Create Aurora Serverless DB Cluster

Run the following command, replacing <DB_SUBNET_NAME> with the database subnet group name provided on the lab page:

aws rds create-db-cluster --engine-version 5.7 --db-cluster-identifier serverlessdb --engine-mode serverless --engine aurora-mysql --master-username <USERNAME> --master-user-password <SECURE_PASSWORD> --db-subnet-group-name <DB_SUBNET_NAME> --scaling-configuration MinCapacity=2,MaxCapacity=4,AutoPause=false,TimeoutAction=ForceApplyCapacityChange --enable-http-endpoint --region us-east-1

Challenge

Create a Secret in Secrets Manager for DB Credentials

Create a secret in Secrets Manager, replacing <USERNAME> and <SECURE_PASSWORD> with the credentials you set in the previous command:

aws secretsmanager create-secret --name "ServerlessDBSecret" --description "Credentials for serverless DB" --secret-string '{"username":"<USERNAME>" , "password":"<SECURE_PASSWORD>"}' --region us-east-1

Challenge

Connect to and Execute SQL Query Against Your Provisioned Serverless Aurora DB Instance
1. Connect to and execute a SQL query against the provisioned Aurora Serverless DB instance:
```
aws rds-data execute-statement --resource-arn <DB_CLUSTER_ARN> --secret-arn <SECRET_ARN> --database information_schema --sql "select * from information_schema.tables LIMIT 1" --region us-east-1
```
Note: The command requires the DB cluster ARN and Secrets Manager secret ARN you provisioned in previous tasks. You can get them via the AWS Management Console or when you executed the CLI commands to create these resources.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.