Dockers is a container standard maintained by OSI (open source initiates), docker client uses docker API to connect to the docker daemon which does all the heavy lifting.
The docker daemon will host docker images which are pulled up from the docker registry. The containers will be running on docker images which are lightweight machine images.
Docker client –> API –>docker daemon –>docker image -Container
The open container initiative provides:
-> Runtime environment specifications
-> Dependency specification
-> Image specification
The application development stages will have development runtime, testing runtime, canary runtime, staging runtime, and production runtimes, all these runtimes need to be isolated and abstracted, docker is a great tool to run multiple containers and runtimes across multiple servers to carry out effective containerization.
Docker client via API call will communicate with the Docker daemon which will communicate with the docker image and then inside the docker image, the docker containers will run.
Docker is a containerized environment which is lightweight, portable, and well-orchestrated.
Docker host which consists of docker daemon, containers, and docker images. Docker images ensures OSI-compliant runtimes.
DockerHub is a popular docker registry, these registry stores the Docker Images. Docker is based upon OCI (open container initiative), The OCI Standardizes the run-time specifications, image specifications, and dependencies specifications.
The docker client can build the docker file, and all the images from the registry will be run on the docker host where all the docker containers will spin up for defined, isolated, and connected processes.
Docker host --> Daemon | Machine Images | ContainersDocker registry will have Docker images which are lightweight OS MACHINE IMAGES.
BUILD DOCKER FILE --> PULL IMAGE --> RUN DOCKER CONTAINERSThe docker file needs to be created which will be a .yml file and then once the file is created it will have all the coded instructions to run a machine image on docker daemon, lot of containers can run over a machine image, docker daemon is the lowest layer of abstraction and the containers are the highest layer of abstraction. Docker provides an additional layer of abstraction and automation.
Docker container will contain, application code, libraries, and dependencies.
- Docker infra provides standardized images.
- Streamlined process of image creation and image runtime.
- Streamlined container management
- Per image multi-container support
- Image sharing
- Efficient running of container.
Some popular container RUN TIMES includes: RUNC | Mesos | Open VZ | CRI -O| Podman
Different runtimes are available based on the use cases, it is better to adapt to one or more runtimes and stick to it for a while because the integrations in some cases can have a higher learning curve especially if the dockers are connected with the Kubernetes module in direct and indirect ways.
The Docker ecosystem is expanding and is in the mature phase, docker will containerize software that can be run in multiple environments, A containerization mechanism has the dedicated RUN TIME, DEPENDENCIES, and LIBRARIES for the application to run stably.
Docker ensures resource utilization, containers are way less CPU and ROM intensive than virtual machines, Containers are highly cost-effective, docker substantially reduces cost, and dev time, and is an efficient way to enhance portability and standardize development regime.
The container images can be integrated from the docker repo, which will have all the docker images stored, the containers are hosted by the docker engine, the docker engine will be above the OS layer and the OS will be layered on hardware which can be a retail or enterprise level server.
A docker image is a snapshot of the software which will have the same runtime and dependencies that are integrated down to the operating system level, the image is mutable and can spin up mutable containers that will host production software in the real world.
“Docker offers high quality of virtualization, docker abstraction is efficient and cost-effective”
Create a Docker File by following the below-mentioned steps: (.yml file)
–> Specify the OS images like Ubuntu.
–> Run command to run scripts
–> Config port and IP
–> Set Env variable
–> The built will be rendered.
The application will run in a container and provide the dep, libs, resources, and run-time environment to execute the code. This reduces the space complexity to a higher degree and increases the resource utilization to a higher degree.
The Docker engine will manage the life cycle of the docker container ie building, running, and orchestration of containers, it will also ensure isolation between containers to provide run time abstraction.
Docker ensures optimized allocation of resources among processes, and namespaces and restricts container access visibility to ensure security. Both group allocation and namespace allocation ensures a higher degree of abstraction.
Docker images are lightweight executable packages that are needed to provide run time for the application to run.
Docker -> |System tool | Run time | Libraries | dependencies|.
All that is needed to Run the application code will be in standardized docker image which can be pulled up from the Docker repo via docker pull request.
The docker image needs to be built via docker file -> the docker file will contain sequential instruction for rendering the desired “docker image”.
Docker containers are run on the Docker engine, docker containers are spined up instances that run on the docker engine via docker image.
Containers are isolated, and provide a high level of process and run time abstractions. Virtual machines are more resource expensive hence container orchestration is resource optimized and ensures a high level of abstraction.
Dockerization enhances the dev process and makes it efficient, scalable, and cost-effective. Docker is an efficient and cost-effective way of developing highly scalable cloud-native applications. Docker ensures cost-effectiveness. Docker based containerization increases portability, ensure effective shipping and packaging of application code in an efficient and cost-effective way.
Containers are faster than virtual machine VMs and can have TYPE 1 and TYPE 2 hypervisors, containers are faster and more cost-effective than both of them. The resources are well utilized in containerization as no virtual provisioning is done like in VCPU, VRAM, and VROM, etc, the resource utilization of the computational and storage is higher in virtualization.
With the help of dockers deploying App code, integrating dependencies and run times is faster as it reduces the development and integration time.
Dockers offer standardized mechanisms and a supporting tool ecosystem for extensibility.
Docker integration reduces development and deployment efforts, with docker systems the version control is easily integrated and is a vital part of docker-based infra.
Diagram
The article above is rendered by integrating outputs of 1 HUMAN AGENT & 3 AI AGENTS, an amalgamation of HGI and AI to serve technology education globally.