In modern software development and deployment, Docker containerization technology has become an important solution. It not only simplifies the process of building and deploying applications, but also provides consistency, portability, and efficiency across environments. This article will introduce a complete Docker containerized deployment architecture design to help you gain insight into how to successfully migrate applications to a containerized environment.
1. Application decomposition and containerization
First, properly split the application into individual components, such as front-end, back-end, database, etc. Each component will be packaged into a self-contained Docker image, containing application code, dependencies, and configuration files.
2. Docker image build
Write a Dockerfile for each component, which is a text file describing how to build a Docker image. The build steps are defined in the Dockerfile, including selecting a base image, installing software, copying files, and more. With an automated build process, you can ensure that each image is consistent and repeatable.
3. Docker mirror repository
Push the built Docker image to a Docker image repository for easy storage, sharing and management. You can choose to use Docker Hub, Amazon ECR, Google Container Registry, etc. The mirror warehouse can store different versions of mirrors, and provides version control and access rights management.
4. Selection of programming tools
According to deployment requirements, select the appropriate orchestration tool to manage the deployment and operation of containerized applications. Common tools include Docker Compose, Kubernetes, and Docker Swarm. These tools offer different levels of functionality and flexibility, and you can choose according to the size and complexity of your project.
5. Orchestration configuration
Using the orchestration tool of choice, author the container orchestration configuration. For stand-alone deployment, you can use a Docker Compose file to define the configuration of the container, including which containers need to run, how to interconnect, required resources, etc. For large-scale deployments, you can use Kubernetes' resource objects to define deployments, services, and other components.
6. Cluster and node preparation
If you choose Kubernetes, you need to prepare a cluster with multiple nodes. Each node needs to install the necessary components such as Docker engine, Kubelet (Kubernetes node agent) so that the container can run in the cluster.
7. Deployment and scaling
Deploy the defined containers into the cluster using an orchestration tool. Orchestration tools automatically start, stop, and scale containers based on configuration to meet the needs of the application. Orchestration tools can automatically create new container instances when scaling is required.
8. Service discovery and load balancing
Make sure containers can communicate and access each other, as well as externally. The orchestration tool provides the functions of service discovery and load balancing to ensure that the traffic is distributed to the backend containers in a balanced manner, and at the same time, it can realize the internal communication between the containers.
9. Persistent storage
For data that requires persistent storage, use container volumes or Kubernetes persistent volumes to retain data. This ensures that data is reliably preserved even if containers are restarted or migrated.
10. Monitoring and logging
Integrate monitoring tools to monitor container and application performance in real time. Configure log collection to be able to trace and analyze the behavior of containers and applications for quick troubleshooting.
11. Security and Updates
Keep container images and applications secure, regularly update software and dependencies in containers, and fix security vulnerabilities. Configure container security policies to limit access rights between containers to reduce potential risks.
12. Continuous Integration and Continuous Deployment
Integrate containerized deployments into continuous integration and continuous deployment processes. By automating the process, code changes can automatically trigger builds, tests, and deployments, enabling rapid iteration and delivery.
Whether it is a small-scale project or a large-scale enterprise application, Docker containerized deployment can provide you with higher flexibility, maintainability and scalability. With sound architectural design and the right choice of tools, you can easily migrate applications from traditional deployment methods to modern containerized environments to maintain a competitive advantage in a constantly changing technological world.
13. Finally, introduce a development tool
This is a simple, cross-platform rapid development framework based on Java Boot/.Net Core. Thousands of commonly used classes are encapsulated in the front and back ends, which is convenient for expansion; the code generator is integrated to support the generation of business codes in the front and back ends, satisfying rapid development; the framework integrates various commonly used demos such as forms, reports, charts, and large screens for easy and direct use ; The back-end framework supports Vue2 and Vue3; the platform can be deployed privately and also supports K8S deployment.
Application entrance: www.jnpfsoft.com/?Juejin, if you have time, you can try to build it yourself.
Technology Architecture
- 1. Compatible database: MySQL (default), SQLServer, Oracle, PostgreSQL, DA database, Renminda Jincang database
- 2. Distributed file storage: Compatible with MinIO and multiple cloud object storage, such as Alibaba Cloud OSS, Huawei Cloud OBS, Qiniu Cloud Kodo, Tencent Cloud COS, etc.
- 3. The backend is developed based on IDEA + Eclipse + Spring Tool Suite.
- 4. The front end is developed based on Node.js+Vue+TypeScript+Vite+Pinia+Pnpm+Element-ui, etc.
- 5. Mobile terminal development Node.js development
Deployment method
- jar
- Docker/Docker-Compose