If you want to develop, ship, and run applications quickly in a secure and safe environment, Docker should be your go-to tool. It is an open-source platform that helps you deliver your software quickly and run them in an environment different from your local infrastructure. It allows you to streamline the management of your infrastructure just like you manage your applications. Here is a list of 100+ Docker Interview Questions and Answers to help you get a Job.
By leveraging Docker tools, you can significantly reduce the time between writing code and deploying it in a production environment. After gaining expertise in Docker, professionals can explore various exciting career paths that leverage their Docker skills.
The average salary for professionals with Docker skills is $144,921. Let’s dive into the top Docker interview questions.
- Rapid app deployment– Docker containers have a minimal runtime requirement of applications which reduces the size & allows quicker deployment.
- Portability across different machines– An application & its dependency can be wrapped in a single container, independent from the host version of a Linux kernel, deployment model, or platform distribution. The container can be transferred to another machine that runs Docker & executed without any compatibility issues.
- Version control & component reusability– One can track successive versions of the Docker container, inspect differences & roll-back to previous versions. The container reuses the components from preceding layers that makes it noticeably lightweight.
- Sharing– You can deploy the remote repository to share your Docker container with others. For this purpose, Red Hat offers a registry. It is also possible to configure your private repository.
- Minimal overhead & Lightweight footprint– Docker images are relatively very small, which facilitates rapid delivery & reduces time to deploy new app containers.
- Simplified maintenance– Docker container reduces efforts & risks of problems with app dependencies.
- Faster and Easier configuration: Docker helps to configure the systems in an easier & faster way. This feature enables code deployment in less time with minimal effort.
- Application isolation: Docker containers run applications in an isolated environment. As each container is independent, the Docker can execute any application.
- Boost productivity: Docker helps in increasing productivity by streamlining the technical configuration & deploying applications quickly. Besides, it also provides an isolated environment to execute each application & reduces the resources.
- Swarm: Docker provides Swarm, a scheduling & clustering tool. It enables you to create & manage a cluster of multiple Docker containers deployed in multiple host machines. Swarm offers high-level availability for applications.
- Security Management: Dover saves secrets into swarm mode & gives service access to certain secrets, including a few essential commands to the engine like secret create, secret inspect, etc.
- Rapid scaling: Docker containers need less computing hardware. They enable data center operators to cram more workload in less hardware, resulting in lower costs.
- Better Software Delivery: Docker containers offers more efficient software delivery as they are self-contained, portable, & have isolated disk volume. This isolated volume goes well with the container as it develops and deployed to many environments.
- Software-defined networking: Docker supports software-defined networking. It means that without touching a router, the Docker CLI allows the operators to define isolated networks. Developers & operators design systems with complex network topologies & define the networks in the configuration files.
- Reduce the Size: Docker provides a smaller Operating System footprint through containers that can reduce the development size.
- It doesn’t provide a storage option;
- Docker offers a poor monitoring option;
- There is no automatic rescheduling of inactive nodes in Docker;
- It complicates the automatic horizontal scaling setup.
- Docker Daemon
- Docker CLI
- Docker Engine REST API
- Public Registry
- Private Registry
- Created: When you create a new Docker container, you will see the “Created” state for your Docker container. In Created state, the container is not yet started.
- Restarting: When you restart a Docker container due to any problem, you will see the Restarting state.
- Running: It is the central state you will see for your Docker container. It indicates that the container has started with no problem detected in it.
- Paused: When you pause the process of a Docker container or temporarily stop it from running via docker pause, you’ll see Paused state until you unpause it.
- Exited: If your container has been stopped due to a problem or your Docker container is stopped manually, you’ll see your container in the Exited state, based on your restart policy.
- Dead: A Docker container that the daemon tried & failed to stop (due to a busy resource or devise used by the container).
- Type 1: Native Hypervisor, also known, as Bare-metal Hypervisor; this type of Hypervisor runs directly on the underlying host system. It has direct access to a host’s system hardware; hence it doesn’t require a base server OS.
- Type 2: Hosted Hypervisor is the second type that utilizes the underlying host OS.
- Virtualization helps developers to host & run multiple Operating Systems on the hardware of a single physical server. In contrast, Containerization helps developers to deploy multiple apps using the same operating system on a single server or Virtual Machine.
- Hypervisors provide complete Virtual Machines to the guest OS. Containers ensure user spaces or isolated environments for running applications. On the other hand, in virtualization, any changes within a container don’t reflect on the host & other containers of the same host.
- The Virtual Machines (VMs) form an abstraction of the system hardware layer. It means that each Virtual Machine on the host acts as a physical machine whereas Containers form an abstraction of the application layer. It means that each container constitutes a different application.