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This article mainly explains "what are the application scenarios of Docker". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what are the application scenarios of Docker.

Docker is an open source container engine that can easily create a lightweight, portable, self-sufficient container for any application. Containers that developers and system administrators have compiled and tested on laptops can be deployed in batches in production environments, including VMs (virtual machines), bare metal, OpenStack clusters, cloud, data centers, and other basic application platforms. Containers are fully sandboxed and will not have any interface with each other. This article will introduce nine uses of Docker that can increase your productivity.

1. Local dependency (Local Dependency)

Do you need to quickly try Magento on your local system, or use MySQL for a project? Or do you want to try most open source projects? Then use Docker. It will save you a lot of time. Docker can improve the development efficiency of developers and let us build a development environment quickly.

The memory of the machine in the development environment is usually relatively small. In the past, when using virtual, it was often necessary to add memory to the machine in the development environment, and dozens of services can be easily run in Docker through Docker.

two。 Build environment (Build Environment)

If you want to build the source code, but find that you are not ready for the right environment. Then using Docker is an option worth considering. After all, if you use the traditional method to install software one by one, a lot of software is really time-consuming to install, using container technology to save time and effort, why not?

It allows you to put the running environment and configuration in code and then deploy, and the configuration of the same Docker can be used in different environments, thus reducing the coupling between hardware requirements and application environment. Here's an example worth looking at: docker golang builder.

3. Micro Services (Microservices)

Are you using microservices? Microservice architecture-splits a monolithic application into loosely coupled individual services.

Consider Docker, where you can package each service as a docker image and use docker-compose to simulate a production environment (checkout docker networks). It may be time-consuming and laborious at first, but in the long run, it will eventually produce great productivity.

4. Automated testing (Automated testing)

Imagine the question of how to write automated integration test cases that do not take a long time to start running and can be easily managed by users.

This does not mean running the test case in Docker, but running the test case closely with the image. There is a big advantage when you write test cases against a docker image. Here's a brief introduction to my test process: run two docker images (app + db), load the data when MySQL starts, and use API on app docker. You can view this script for a quick example.

5. Deployment process (Deployment process)

You can use the docker image for self-deployment. Many major hosting providers support hosting docker, and if you have a dedicated node / vm with shell access, things will be easier. Just set up docker and run your image on the port you want.

6. Continuous deployment (Continuous Deployment)

It is said that Docker is inherently suitable for continuous integration / continuous deployment. Using Docker in deployment, continuous deployment will become very simple and will start again after entering a new image.

There are many options for automating this part, and Kubernetes is a familiar name. Kubernetes is a container cluster management system and an open source platform, which can realize automatic deployment, automatic expansion, maintenance and other functions of container cluster.

7. Multi-tenant environment (Multi-tenancy)

An interesting usage scenario for Docker is in multi-tenant applications, which can avoid rewriting key applications. If you expose an application service to multiple tenants (a tenant refers to a group of users, such as an organization), an application designed using a single-tenant solution can quickly get a multi-tenant service if it uses sub-domain + docker.

An example of this scenario is the development of a fast, easy-to-use multi-tenant environment for Internet of things applications. The basic code of this kind of multi-tenancy is very complex and difficult to deal with, and replanning such an application is not only time-consuming, but also a waste of money. With Docker, you can create an isolated environment for multiple instances of each tenant's application layer, which is not only simple but also inexpensive, thanks to the startup speed of the Docker environment and its efficient diff commands.

8. Multiple APP (Multiple apps from one machine) from one machine

This has something to do with the microservices mentioned above, but even if you don't use microservices and just provide services, Docker can still manage all the services on a single machine. You should use folder mount to retain data for each data-based docker image.

9. Expand QPS (Scaling QPS)

Docker helps you scale horizontally easily by creating another container. If you encounter a lot of peak traffic, Docker can help you solve the problem-just add more machines and increase the number of containers running behind the load balancer.

At this point, I believe you have a deeper understanding of "what are the application scenarios of Docker?" you might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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