#Aws postgresql backup how to
#Aws postgresql backup install

#Aws postgresql backup how to

We will choose the second option to show how to implement the Lambda runtime API on a custom Docker image. You can also create your own custom image, but it must implement the Lambda Runtime API for this to work. The container image can be created from one of the base images AWS provides that already implements the different runtimes. Now, the project folder is like this: ├── Dockerfile The project generated has the following structure: ├── DockerfileĬreate a file backup.sh and add the code for database backup. Now create a Node.js project with the command below: serverless create -template aws-nodejs-docker -path backup-db

#Aws postgresql backup install

The first step is to install it on our computer. Serverless is a tool that makes it easier to create, test and deploy a project that uses serverless architecture. Prerequisitesīefore getting our hands dirty by writing code, make sure our development environment has the following tools installed and configured: Once the image is created, we will push it to AWS Elastic Container Registry (ECR) and finally, create a Lambda function that uses this Docker image using the Serverless Framework. Starting from this, we will create a Docker image with pg_dump installed, embed the backup script file inside, and the source code written in Node.js. Check out this tutorial to see how to upload a file in Google Drive Implementation steps Note that we will only focus on database backup. We want to be able to trigger a Lambda every Saturday at 02:30 AM to run this bash script file (backup.sh) and upload the backup somewhere. Replace db_user, db_password, db_host, db_password and db_name with valid database credentials. # Dump only the data and the schema (data definitions). Here is a bash script to back up a PostgreSQL database. It is paramount to do a backup of the database frequently to avoid data loss or being able to restore in case you were unable to prevent the data loss.

The application inserts and retrieves data requested by the users. We have a web application connected to a database running in production. With the Lambda container, you build your Docker image with all the dependencies needed by your application, upload it to the AWS container registry, create a Lambda and run it. So, if your code was requiring interaction with an external program like the shell, git, pg_dump, etc. Before, we zipped our code, upload it to a bucket, create a lambda to take our code, and run it in the Lambda environment. At the end of December 2020, AWS released container support for Lambda, which brings unlimited capacities to Lambda.