![]() ![]() There are many advantages of using containers as part of your day-to-day life as a software developer. You created a Flask app to test if the server works as expected, and you learned to attach volumes to your container to see how the containers behave with and without them. In this article, you hosted your MongoDB server using Docker. With this method, you will connect to MongoDB on mongodb://mongodb:27017 from the other containerized applications in the network. If your application is running inside a container itself, you can run MongoDB as part of the same Docker network as your application using -network. Volumes persist until you remove them with the docker volumes rm command or by using the -volumes flag when destroying a container with docker rm. Now, when you go to localhost:5000, you will notice that all the data you previously added has remained intact, as Docker attached the volume after the start. Here is the command to specify a certain config location:ĭocker run -volumes-from test-mongo3 -d -p 27017:27017 -name test-mongo4 mongo:latest The configuration file follows the YAML format. If you want to change the default MongoDB configurations, you can use the -config flag to pass a location to a text file with configurations. Start by pulling the image for the MongoDB version you want by specifying the tag accordingly: In development, you will use Docker to host a MongoDB instance locally. For production, the application can connect to a cloud-hosted database using the MongoDB Atlas or MongoDB Enterprise Server. You can pull the latest MongoDB image and run it in a Docker container. Running MongoDB in a Docker Containerįor development, it is better to connect to an instance of MongoDB running inside a Docker container locally (instead of a cloud-hosted instance) to save resources. However, using Docker Desktop is recommended for a seamless experience. Now, the first thing you’ll want to do to set up your implementation of MongoDB is to install Docker, which can be done directly from your terminal. The Docker daemon, dockerd, manages Docker containers and handles requests via the Docker Engine API. In a nutshell, Docker containers are stand-alone pieces of software that encapsulate everything needed to run some code, files, dependencies, configurations, and so forth. You’ll also learn how to host a simple Flask app and how to use Docker volumes to persist data in a Docker container.īefore diving into implementation details, let’s take a moment to introduce some of Docker’s basic concepts. In this article, you’ll learn the best practices for running a MongoDB container. If you are developing multiple applications, you can start multiple containers together using a docker-compose.yaml file. Furthermore, during development, it is easier to start a Docker instance than manually configure a server. If you want to use your MongoDB database across several machines, using Docker containers for hosting MongoDB is a great approach – you can easily create new isolated instances. ![]() For production, you may custom-build a container with MongoDB’s enterprise version. There is an official image available on Docker Hub containing the MongoDB community edition, used in development environments. MongoDB can be run in a Docker container. You can also leave fields empty in situations where a lot of data is missing. You can just input the data, and new fields will be created. NoSQL databases are useful for storing such data. ![]() In the real world, much data is unstructured-it doesn’t follow a specific schema. It uses a JSON-like storage model and doesn’t require a predefined database schema. MongoDB is a NoSQL database service with seamless performance and options for scaling. Thanks to Docker’s lightweight runtime and ability to run processes in isolation, multiple containers can run at the same time on the same VM or server. These containers can be run on any machine, as well as in a public or private cloud. Docker is a powerful development platform that enables users to containerize software. ![]()
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