![]() ![]() To check if it's working we can type the following command command (don't forget the at the end!): Database Migration using Docker and psqlįirst of all, let's make a connection test to the aws Postgres database: Now that we have the running postgres instance running on AWS, we can use the psql command to restore the database. If you click on the database name, you will have a summary of it: (Please notice that since we are on a free tier, we will not be charged.)ĭatabase create will usually take a couple of minutes. Leave everything else as it is, and click Create Database. To learn more about security groups, check out the AWS documentation. You also need a VPC with Security group open to the public. Under Connectivity, select Yes for Public Access (it’s set to No by default) so we can access to it from our local AWS CLI. In the Settings section, you can choose a name for the database, a username, and a password: Choose Postgres, version 12.5 (the same used locally and it has also a Free tier on AWS, which is nice!) and Free Tier. Here, unsurprisingly, you can choose a database. ![]() We are now ready to move on the AWS UI to create an RDS instance. The good news is that we can use docker exec to dump the database: Pg_dump does not block other users accessing the database. It makes consistent backups even if the database is being used concurrently. Pg_dump is a utility for backing up a Postgres database. ![]() Now we are ready to create the backup of the database using the pg_dump command. If we check the users again via the /users, we will see the three new users. The response will be a blank response body () with status 200, which is what we expect:Ĭreate three new users on this database witha new request at the /users endpoint, port 8080: In this article, we will use Postman, a tool to test API.Ĭheck if the backend is up and running by creating a new request at the /ping endpoint, port 8080:Ĭheck the current users bycreating a new request at the /users endpoint, port 8080. ![]() You can make the inserts in the database in different ways. Now we’re ready to make our inserts into the database. Let's check the running containers with this command: Let's run the database service with this command: We have 2 services, and the volume called pgdata1, where we will store our data. (If you want a more detailed explanation about these commands, you can check out my previous video.) If you have Visual Studio Code you can use the command: Run the services using docker composeīefore starting our services, let's take a look at the docker-compose.yml file we used in the previous article. To clone the repository, open a command prompt and type: This repository is based on the official TinyStacks AWS Docker Express application repository on GitHub. To do this, we will use a project that we used in a previous article. Restore the Postgres database using the AWS CLI.Create an instance of RDS Postgres in AWS.Make a backup of the database using Docker and psql.Make some inserts in the database using Postman.Run the local instance of Postgres using docker compose.This is the full procedure and it's not strictly related to Docker (though it’ll help to have Docker installed locally on your machine): But then, after a while, we want to bring it to the cloud - for example, onto AWS. Usually what we want is a local database to test in the initial phase. In this article, we’ll see how to migrate our local Postgres database using the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS. Amazon RDS supports several database instance types: Postgres (PostgreSQL): a free open-source relational database very popular and stable.Īmazon Relational Database Service (RDS): service to set up, operate, and scale a relational database in the cloud. Just a couple of definitions before we start: In this article, we’ll see how to migrate your local Postgres database to AWS RDS. ![]()
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