Further protect your database password and other connection variables by encrypting Lambda environment variables with AWS KMS keys.To address any issues, see CloudWatch Logs, and the Troubleshooting and Tips on making changes sections.Īfter setting up and testing your serverless application, here are a few best practices and administration tasks you can perform to help optimize your solution. Cut and paste the “invoke URL” for your beta stage into a browser, and append your resource name /query1 to the end of it. You’ve also configured the AWS CLI on your client host and can run the following command without a permission error:Ĭurl api-id.execute-api. Your AWS user has permissions to create and manage IAM roles, Lambda, API Gateway, and AWS CloudFormation stacks, and to view Amazon CloudWatch Logs.For help installing Python 3.x on an Amazon Linux host using virtualenv, see one of these AWS Knowledge Center articles: Instructions for Amazon 1 Linux or Instructions for Amazon 2 Linux. You have Python 3.6 installed on the client host.Your database user has permissions to create database objects and to insert into and query from this database. Your preferred database client software has been installed on the client host, and you have established connectivity from this host to the database.The port range includes the database port. The client host security group ID (not the CIDR) is permitted as a source in the inbound rule of the database security group.You know the EC2 client host subnet ID and security group ID.For setup purposes, you have launched a temporary Amazon EC2 client host, preferably Amazon Linux, in the same VPC and AWS Region as the database.You have launched an AWS database instance in a VPC, preferably using Neptune, RDS for MySQL, or RDS for PostgreSQL. In this example, we invoke the Lambda function synchronously. If you choose an alternate invocation method, the Lambda runtime limit still applies. If API Gateway invokes the Lambda function synchronously, the API Gateway runtime limit applies if asynchronously, the Lambda runtime limit applies. In particular, note the runtime limits as these apply to your queries. To see whether a serverless application is right for you, review the AWS Lambda limits and the API Gateway limits. The time to complete the steps is about 30 minutes. This post is intended for AWS database users who have no experience with AWS Lambda, Amazon API Gateway, or AWS CloudFormation, and limited experience with Python. You can download the Python code and the AWS CloudFormation template from the awslabs/rds-support-tools GitHub repository. For Neptune, the SPARQL example can be adapted for Gremlin. The Python code samples apply best practices that can easily be adapted for other database engines. And I include substantial Tips and Troubleshooting sections specifically for querying databases in an Amazon VPC that are not strictly key-value stores. I provide an AWS CloudFormation template that makes creating these components a snap.
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