Five-step easy implementation of Docker container technology

With Docker's leading position in the cloud computing market, container technology has become a mainstream technology. To use the container technology for the user's application, follow these five steps.

Docker container technology has been rage in the cloud computing market, and many mainstream suppliers are facing the dilemma of backward technology. So what makes Docker container technology so popular? For novice beginners, container technology enables the portability of applications between different cloud computing and provides a way to split applications into distributed components. In addition, users can manage and extend these containers into clusters.

Before an enterprise user is ready to move an application to a container, it is important to understand the application's migration process. Here are five basic steps for moving a user application to a Docker container.

Step 1: Decompose

In general, applications are complex, and they all have a lot of components. For example, most applications require the support of a database or middleware service to enable storage, retrieval, and integration of data. Therefore, it is necessary to split these services into their own containers through design and deployment. If an application can be split into more distributed components, the more choices the application extends. However, the more distributed components, the higher the complexity of management.

Step 2: Select an underlying image

When performing an application migration, try to avoid the practice of toppling over. Search the Docker registry to find a basic Docker image and use it as the basis for your application.

Over time, organizations will discover the value of the basic images in these Docker registries. Keep in mind that Docker supports a Docker developer community, so the success of a project depends largely on the user's involvement in image management and improvement.

Step 3: Troubleshoot security and management issues

Security and management should be a high-priority consideration, and enterprise users should no longer migrate them as applications to the final step of the container. Instead, organizations must plan for security and management from the outset, incorporate their capabilities into the application development process, and proactively focus on these aspects as the application runs. This is where the enterprise should take great effort.

A container-based application is a distributed application. Organizations should update older applications to support federated identity management methods, which can be very helpful in ensuring the security of distributed applications. To do this, each application component and data should be provided with a unique identifier that allows the enterprise to manage security at a fine-grained level. Enterprise users should also add a way to log records.

Step 4: Add code

To create an image, enterprise users need to use a dockerfile to define the necessary steps for image development. Once an image is created, enterprise users should add it to the Docer Hub.

Step 5: Configure, Test, deploy

The applications that run in the container should be configured so that the application knows where to connect external resources or other containers in the application cluster. Enterprise users can deploy these configurations in containers or use environment variables.

Testing a container-based application is similar to testing for other distributed applications. The enterprise can test the components of each container and test the container cluster as a whole. Determine how your application should be able to scale as the load increases. If a user is using a cluster manager (such as Swarm), you can test its performance.

Finally, the container is deployed to the actual production environment. To proactively focus on the health of a container-based application, consider implementing the necessary monitoring and management mechanisms. Make sure that the logging feature is turned on.

Many applications migrate to cloud computing using container technology. Although the migration is a bit complicated, the container protects the application investment and gives it a longer service life.

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