#Dockerize nodejs postgres app software#

Note - Run the compose command with -d to run the container in the background. Once the file is created, we can run the docker-compose up command to start the container. In the volume section, we map the internal container data location to our volume and expose port 5432. For the Postgres container, we use the latest Postgres image with environment variables setting the user, password, database, and data location within the container. Since this volume is reusable, you can recover the underlying data even if the container is removed. We create a docker volume to store the Postgres data in the above configuration. postgres-db-data:/var/lib/postgresql/data This can be done easily via the docker-compose file.

Next up? Time to create the container configuration. The official Postgres image in Docker Hub Therefore, we will use the official Postgres image in the Docker hub for creating this database container.

#Dockerize nodejs postgres app software#

While we can create an image from scratch, it will be unnecessary in most cases as common software like Postgres provides official container images with the option to customize the container. Creating a containerized databaseįirst, we need an image to act as the base for our container.

Furthermore, these containers lead to better resource utilization and decreased overall costs as they are inherently lightweight compared to other solutions like VMs. They also enable users to make configuration changes to the database application with minimal to no impact on underlying data in production environments. The portability of containers helps users deploy and migrate databases to any supported containerized environment without any infrastructure or configuration changes. Additionally, containerization also allows users to scale and increase the availability of the database with relative ease. As a result, it increases fault tolerance by enabling users to spin up a new container in the event of an application failure without affecting the underlying data. However, it allows users to bring all the advantages of containers to bear on their databases.Ĭontainerization allows users to separate the database application and the data. Creating a container for a database may seem to add unnecessary overhead compared to simply installing it on a server.