AI that moves boxes - projects for Blue Collar AI
In newsletter: Why AI increases sales in B2B, NIS2 checklist, and projects for production and distribution.
See February Brief
What is a container ?
A container is a set of isolated processes and resources. It is an abstraction at the application level that bundles code and dependencies together. More than one container can run on the same machine and share the OS kernel with others, each of them running as isolated processes. Practicaly, a Docker container can be used to wrap an application.
Images and containers are the core concepts of Docker. A Docker Image contains everything you need to run the software (code, drivers, runtime, libraries, scripts etc.). A Docker Container is a running instance of a Docker Image which runs on the kernel of the host OS.
One of the biggest advantages of using Docker is that you can pack your application and deliver it with its configuration so it can be used out of the box. To deploy the application, it’s image must be run. After the container is started, the application can be accessed directly.
Containers are a solution to the problem of how to get programs to run smoothly when the environment is changed. In software development problems arise when the supporting environment is not identical.
Differences between a container and Virtual Machines:
Benefits of Docker Containers
See OPTI’s support for other server services
A VM includes an entire operating system, while a Docker container shares the host OS kernel. This makes containers much lighter, faster, and less resource-intensive.
A Docker image is a package that contains everything needed to run an application: the code, libraries, environment variables, and configuration files.
Docker solves the 'it works on my machine' problem. By packaging an application and its dependencies into a container, it ensures that it will run the same way regardless of the environment it's deployed in.
Docker is a cornerstone of modern DevOps and microservices architecture. By containerizing applications, developers can ensure consistency across development, testing, and production environments, which is essential for building reliable CI/CD pipelines.
Technologies: Docker, Containers, Images, Virtual Machines (VMs)
Methodologies: Virtualization, DevOps, Software development, Scalability