![]() In my previous article, How to set up and run SQL Server Docker image, I have talked about installing Docker on a local machine. During deployment, you need to just run the docker image on the production environment, and all the configurations will be in from the image. You can bundle your applications into docker images that will already store the necessary configurations required to run the application. In addition to PostgreSQL, we will also install PgAmin4 using Docker, which can be used to administer the PostgreSQL instance with Docker.ĭocker is an open-source containerized application technology using which you can deploy your applications easily on-premises or on the cloud. This article will introduce you to the basic concepts of installing and using Docker on a Mac and then pulling a PostgreSQL Docker image from the Docker Hub repository. With the rise in containerization technologies, PostgreSQL can now also be installed using Docker.ĭocker is a popular application that enables users to bundle applications into containers that help in the easy deployment of resources. PostgreSQL can be installed on any operating system like Windows, macOS, and Linux. It is highly stable and has a large community that maintains and supports the database development lifecycle. PostgreSQL is one of the most popular open-source databases that is being used by a lot of developers. Thus, we force-push branches that contain the tarballs.Īlthough we force-push the files away, the older versions of our images remain present on DockerHub and Amazon ECR.In this article, we will learn how to get started using PostgreSQL on Docker. What we're doing hereĪs soon as new AWS Lambda base images are available, an automated process snapshots the layers and configuration used to create these images and force-pushes them to this repository.įor examples, please see other branches in this repository.Ĭommitted alongside the Dockerfiles in the branches are the tarballs, which balloon the repository size. Please note that branches other than main are regularly force-pushed, and content may disappear without warning. ![]() This is more of an artifact store than a Git repository, for reasons explained later. When deployed to AWS Lambda these images will be run as-is. However, we may choose to optimize the container images by changing the components or dependencies included. These images are similar to the AWS Lambda execution environment on the cloud to allow customers to easily packaging functions to the container image. Maintenance policyĪWS will regularly provide security patches and other updates for these base images. ![]() To learn more about how these images are used, check out the AWS documentation on how to Create an image from an AWS base image for Lambda. The Lambda Runtime Interface Client allows your runtime to receive requests from and send requests to the Lambda service. These base images contain the Amazon Linux Base operating system, the runtime for a given language, dependencies and the Lambda Runtime Interface Client (RIC), which implements the Lambda Runtime API. AWS provided base images for Lambda contain all the required components to run your functions packaged as container images on AWS Lambda.
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