Serverless Aurora Database and AWS Lambda

In this video we are going to create an Amazon Aurora database and connect it to a Lambda function. Previously we have made use of DynamoDB whenever we needed a database. This is a NoSQL database and is fantastic for most use cases, but there may be times when a traditional SQL database is the best choice. This is where Aurora come in.

Timestamps:
- Intro: 0:00
- Create a Serverless Aurora Database: 1:29
- Create Lambda Function: 7:23
- Attach IAM Policy: 10:02
- Inject data to Database using Query Editor: 10:42
- Test Lambda Function12:10

Code example:
- Python code: https://github.com/endre-synnes/python_aws_course/blob/master/lambda_intro/04_secrets_and_databases_and_stuff/11_lambda_and_aurora.py
- SQL queries: https://github.com/endre-synnes/python_aws_course/blob/master/lambda_intro/04_secrets_and_databases_and_stuff/11_lambda_and_aurora.md

ACU: https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.how-it-works.html

Aurora serverless v2: https://aws.amazon.com/rds/aurora/serverless/#pricing

AWS Aurora documentation: https://aws.amazon.com/rds/aurora/?aurora-whats-new.sort-by=item.additionalFields.postDateTime&aurora-whats-new.sort-order=desc

Pricing calculator: https://aws.amazon.com/rds/aurora/pricing/#Pricing_calculator


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