![]() ![]() You can create and configure an environment and share with other people so they don’t have to do the same work from scratch. Now that Docker is installed on the machine, we can create the containers which we’ll use in this tutorial: one with Metabase and another one with PostgreSQL.īeyond ensuring a controlled environment for hosting software, another great advantage of Docker is its portability. If Docker Compose is installed, you will see on the screen which version of Docker Compose is installed.ĭocker and Docker Compose versions installed on my machine. Once Docker is installed, open a console and type the following command (if you’re using Linux, you may need to use sudo to grant root level permissions to Docker): Docker can be downloaded on its official website. The first step is to install Docker on your computer. Let’s explore Docker, one example of a Dockerfile and find out how to manage more than one container, or environment. These files are portable, they can be copied into different machines so the exact environment can be replicated in a new machine, disregarding the differences among machines. Docker use configuration files called Dockerfiles, which determine the set of configurations for each environment. Isolation is achieved by ensuring that, inside the environment, all the necessary tools that make the app work are available and use the correct versions. It is to solve problems like these that Docker exists, a container manager. If this configuration is missing at any single one of these machines used for development, the app won’t work as expected, and more time from developers will be spent to correct the problem. ![]() It happens that the software will now use a new dependency, which requires some new configuration in the environment in which it is hosted. Problem solved, it is time to mirror the same configuration on all machines used for development. Hours from developers are spent trying to find the source of the error after the deploy, just to find out that it was a matter of changing the version used by the programming language or the database that is installed on the production machine. There are many machines, many configurations and possibly the software that worked at some of these machines may not work on others. You’ll probably already saw this problem: the same software is developed in one machine, stored in a repository on another machine, copied and modified on other five machines by developers, merged in the repository, moved to a staging server and then moved again to the production environment. A well planned environment is easy to maintain and change, helping to avoid – or to reduce the impact – of a maintenance, being it scheduled or not. One of these variables, topic to be discussed in this post, is the configuration for the environment. The ability to scale depends on many things, from the technical specifications used by server machines to the chosen architecture. ![]() Isolating environments with DockerĪ infrastructure that scale as demand increase is essential for any digital product with reach. Published on Novemand updated on November 20, 2021.
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