![]() ![]() You could find the complete codebase in GitHub.In this article with screencast videos, we’ll go over the three ways to create an Aurora Serverless Database with Data API. I’ve tried my best to explain the process of creating a proper API. With the rise of a serverless relational database, the possibilities are endless in creating entirely serverless infrastructure. Please click it, and select Inbound option and Edit it.Īfter allowing anywhere, you could see proper response in postman. There you could see the VPC security Groups. To solve this error, open AWS RDS and select the DB instance name, navigate to Connectivity & Security. Then after it works fine for me.Įrror 3: 502 Bad Gateway Or Internal server error I re-deploy the rest API code and got separate x-api-key. I have faced this issue couple of times after deploying the code in Lambda functions. To solve this error, please check the proper endpoint path and make sure you are passing correct x-api-key as header. Please check the above section for yaml configuration.Įrror 2: Invalid API identifier specified To solve this error you need to add the serverless-deployment-bucket as a plugin and mentioned it in your serverless.yml. The following error you may encounter during serverless configuration time or deployment time. Now you can open postman, and execute the endpoint and you could see the response. Then select a simple route, Define a simple record andĪfter defining record set, wait for 10 min to reflect it. For more information about custom domains and deployment, you can check here as well. Now you need to open route53 to create a record. Once you Saved it, it will appear in home page. Please keep the x-api-key and pass it as a header from postman to check the API is working or not.įor Custom Sub Domain - you can create a sub domain from API Gateway, and add subdomain like, and saved it.Īlso set API Mapping there as well, like below ![]() The following screenshot you will get from your terminal. It will take care of bundling up, push all code to the S3 bucket and from there it will send it to the lambda function. The Serverless framework makes deployments quick and painless. Once your APIs are working perfectly with serverless-offline, you can deploy the code to the serverless lambda function by using a single command. The following snapshot might help you to understand better. So please wait and once it's status Available, navigate to the details page and keep a few items to be noted in a separate file like notepad or text editor. Once you click on Create Database, it will take about 10 min to create it. Also, you can import/export your dump DB file to AWS PostgreSQL DB as well. Under the connectivity section, please choose public access as yes, so that you can connect AWS RDS to your locally installed PostgresSQL DB. Provide DB instance identifier, master username & password. ![]() Login to your AWS console and navigate to the RDS window and select PostgresSQL, Version, Obviously for Free tire. "start-offline": "npm run build & serverless offline -noTimeout" "deploy": "npm run build & sls deploy -stage dev", Once the Lambda is invoked, the container spins up and runs the code.Īlong with installation, modify the scripts section in the package.json file like the below. An AWS Lambda function is basically a container. ![]() By using -g flag the serverless package will install globally.Īlso install serverless-offline, serverless-deployment-bucket as well. We'll use AWS Lambda as the computing service. Enable serverless & other necessary npm packages installationĪfter downloading the application, start with installing npm packages. ![]()
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