Connect aws postgresql8/15/2023 We're going to use AWS CDK as an Infrastructure as Code (IaC) tool to create the AWS resources How to Create a Virtual Private Cloud to Host our Lambda and RDBMS The architecture will remain the same.īelow is the architecture for this project: But the process here is applicable for any database (MySQL, Oracle, MS SQL and so on) that you want to use. We're going to use Postgres as our database in this tutorial. As your lambda function will contain business logic, this lambda might also be in a private subnet. In almost all cases, your RDBMS database will be in a private subnet of the Virtual Private Cloud (VPC) so that no one from outside of the VPC can access it. With that out of our way, let's discuss how we're going to connect to RDS from Lambda. You have dynamic access patterns and you don't want to change much of your existing models.You have an existing RDBMS database and you'd like to adapt serverless compute provided by AWS Lambda.You might choose RDMBS if you have following requirements: ![]() And, it has many functionalities such as group by – so that you don't need to have any external system to do such functionalities.įamiliarity with SQL: Most developers are familiar with SQL to query databases, and you have a wide range of databases to choose from, including Oracle, Postgres, and MySQL. A new entity can be brought in without much change to any of the existing models. You can define foreign keys to restrict any invalid data from getting stored in the database.Īccess patterns: RDMBS allows you to use dynamic access patterns. Relationship between entities: RDBMS allows relationships between entities. Even if you want to use DynamoDB, you might have to re-write your entire data access layer to use DynamoDB instead of a regular RDBMS. You need to export the data and have some other system to provide that functionality.Įxisting database: If you have an existing RDBMS database, you wouldn't want to migrate to DynamoDB unless there is a compelling reason to do so. You can't do group by functionality just as you do in RDBMS. Limited access patterns: DynamoDB does not provide flexibility in writing your queries. This isn't always possible, as your product (and its associated requirements) might evolve based on customer feedback. But using DynamoDB for all projects involving lambda is not possible for the following reasons:ĭynamic access patterns: If you're using DynamoDB, you would have to design your querying patterns in advance. However, most of the serverless architectures use DynamoDB as a data store just to reduce costs and eliminate the need to maintain database servers.ĭynamoDB is great and has its use cases. Even if you want to use a data store, you could use any type of database based on your needs. In fact, some of your lambda functions will not even interact with data stores of any kind. Why would you use RDS with Lambda?ĪWS Lambda is just a compute service and it does not have any recommendation about data stores. AWS takes care of setting up, patching, and maintaining these database servers. Introduction to AWS Lambda and RDSĪWS Lambda is a serverless, event-driven compute service which lets you run your code without having to provision servers.ĪWS RDS is a managed relational database service from AWS and supports various RDMBS such as MySQL, Postgres, Oracle, SQL Server and so on. ![]() You can learn more about AWS CDK from the docs here, and I wrote a beginner's guide to it on my blog here. Of course, you need to have an AWS account to create AWS resources. Only basic knowledge of CDK and TypeScript is required for trying this tutorial. When deploying (using the cdk deploy command), your code is converted to Cloudformation templates, and all the corresponding AWS resources are created. We're going to use TypeScript in this tutorial. It's an open source software development framework that lets you define cloud infrastructure.ĪWS CDK supports many languages including TypeScript, Python, C#, Java and others. ![]() In this tutorial, we'll be using AWS CDK. Here is my code for a simple GET request with no URL parameters: var pg = require("pg") Įxports.In this article, we're going to learn about how to communicate with AWS RDS from AWS Lambda. I have a database in Aurora PostgreSQL and I’m using an API Gateway to invoke the Lambda functions made in Node.js for the APIs.
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