![]() Not only should they look the same, but they should have very similar datasets available to them in an isolated manner. We previously mentioned that running the same version of database was a requirement of having our ephemeral environments look like production. They should also be able to be created on demand manually (not through an event driven process) in case a new environment is needed for any reason.Įphemeral Environments Have Replicated Data Once the template is created, the ephemeral environments should be set up to be automatically created on certain events, such as when a pull request is opened. Products like Terraform, AWS’s Cloudformation, or Release’s Application Template are what we call “environments as code” to ensure that the ephemeral environments are created the same way each time. ![]() Now that we know our ephemeral environments should look like our production environment, the next step is to automate their creation to meet that criteria. If the ephemeral environment has less memory, say only 1GB, and a memory intensive part of the application fails, it is now unclear whether or not that part of the application would fail if the same image were deployed to production.Īs another slightly different example, if the application uses a database, the production version should be talking to a persistent database, like Amazon’s RDS, while the ephemeral environment may be talking to a containerized version, but having both databases on the exact same version ensures new code doesn’t accidentally use a database feature that isn’t available on production.Įvery application is different and we can’t cover every possible feature that needs to look the same here, the premise remains the same that every ephemeral environment should look as close to your production environment as possible.Įphemeral Environments Are Automated And On Demand When thinking about memory as one example, if the production server is allocated 2GB of memory then the ephemeral environment should be too. To start, if you are using Docker images, the same image that you deploy onto an ephemeral environment should be eligible to be deployed to your production server. One of the most important factors to a successful ephemeral environment workflow is to have the environments look as close to a production replica as possible. Now that we have an idea of what ephemeral environments are, let’s go over some of their characteristics.Įphemeral Environments Should Look Like Production No matter the name, the use case is the same: the environment is created, used for a short period of time, and then removed without consequence. Some other names for ephemeral environments could be ‘on-demand environments’, ‘dynamic environments’, or ‘temporary environments’. The amount of time could be as short as the lifecycle of a CI/CD pipeline or as long as a week, but the key component being that eventually the environment goes away. An ephemeral environment is an environment meant to last for a limited amount of time, in which the definition of ephemeral is ‘lasting a very short time’.
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