Container virtualization has significant implications for DevOps practices, and the two main implications are:
* Decoupling of Packaging and Infrastructure: Containers encapsulate an application and its dependencies into a single package. This means the application can run consistently across different environments without being affected by differences in the underlying infrastructure. This decoupling facilitates more reliable deployments and easier migration between environments.
* Testing Under Production Conditions: Containers can replicate production environments on a developer's local machine or in a CI/CD pipeline. This allows developers to test their applications under conditions that closely mimic the production environment, which can lead to identifying issues early and ensuring the software behaves as expected when deployed.
The other options are not correct:
* Detailed Knowledge of IT Infrastructure: Containers abstract away much of the underlying infrastructure details, so developers do not need in-depth knowledge of it.
* Complicating Deployment: Containers simplify deployment through standardization and automation, rather than complicating it.
* Application Specific Adjustment: Containers are designed to run applications without the need for significant adjustments specific to the container platform, provided that the container image is correctly configured.
References:
* Docker Documentation
* Kubernetes Documentation