What does docker do?
The role of docker is: 1. Better utilization of resources; 2. Customization for microservices; 3. Convenient transplantation between cloud service providers; 4. Convenient use of APIs; 5. Convenient technology Innovation.
The role of docker is:
1. Make better use of resources
The granularity of a virtual machine is a "virtual machine", while the granularity of Docker is a "restricted application". In comparison, Docker takes up less memory and is more lightweight.
For me, this is an advantage of Docker: because I often run multiple Docker applications on my computer, using Docker is simpler and more convenient than using a virtual machine, with finer granularity and continuous tracking. Container status.
2. Customize for microservices
If you have been paying attention to technology news, then you should have heard of the concept of "Microservices". Docker can be combined well with microservices. Conceptually, a microservice is a container that provides part of a complete set of application functionality, and Docker can serve as a microservice container during development, testing, and deployment. Even production environments can deploy microservices in Docker.
3. Porting between cloud service providers
Most cloud hosting providers already fully support Docker. For developers, this means that you can easily switch cloud service providers. Of course, you can also easily move your local development environment to a cloud host. There is no need to configure the running environment locally and configure it on the cloud host. Also configure the running environment once. Comprehensive deployment of Docker (Docker here and Docker there) as a standard operating environment can greatly reduce the workload and generate bugs when the application is online.
4. API side
API is the glue between applications. A qualified developer must have used REST APIs provided by others, or developed REST by himself. API. It should be pointed out that whether it is the client or the API provider, before development, a set of public API interfaces need to be defined and documented before coding. If the server and client are jointly developed, the server will usually first implement an API interface that can return a fixed string, and then slowly implement the API functions in future development.
Although some people may think that Docker has been abused here, and you can use files like sample.json to implement virtual APIs, there is an example below that can better solve the API problem when developing front-end and back-end separation.
To better explain what I mean, let me give you an example: JSON Server, a REST API for providing JSON data. Anyone who has used this container will know that since there is such an easy-to-use Docker JSON Server, we have no reason not to use Docker.
5. Technical innovation
This shouldn’t be considered a use case, but I’ll write it down anyway. Docker is developing rapidly and the tools are constantly being updated. No one can predict what Docker will look like in the future. The more you use Docker in complex systems, the more likely you are to discover gaps in technology and the direction of future technology development. We are still in the development stage of Docker, and any tool you create using Docker is likely to become a hot topic in the community. This is Docker’s opportunity, and it’s your own opportunity.
Recommended related tutorials: docker tutorial
The above is the detailed content of What does docker do?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP distributed system architecture achieves scalability, performance, and fault tolerance by distributing different components across network-connected machines. The architecture includes application servers, message queues, databases, caches, and load balancers. The steps for migrating PHP applications to a distributed architecture include: Identifying service boundaries Selecting a message queue system Adopting a microservices framework Deployment to container management Service discovery

Overview LLaMA-3 (LargeLanguageModelMetaAI3) is a large-scale open source generative artificial intelligence model developed by Meta Company. It has no major changes in model structure compared with the previous generation LLaMA-2. The LLaMA-3 model is divided into different scale versions, including small, medium and large, to suit different application needs and computing resources. The parameter size of small models is 8B, the parameter size of medium models is 70B, and the parameter size of large models reaches 400B. However, during training, the goal is to achieve multi-modal and multi-language functionality, and the results are expected to be comparable to GPT4/GPT4V. Install OllamaOllama is an open source large language model (LL

Answer: PHP microservices are deployed with HelmCharts for agile development and containerized with DockerContainer for isolation and scalability. Detailed description: Use HelmCharts to automatically deploy PHP microservices to achieve agile development. Docker images allow for rapid iteration and version control of microservices. The DockerContainer standard isolates microservices, and Kubernetes manages the availability and scalability of the containers. Use Prometheus and Grafana to monitor microservice performance and health, and create alarms and automatic repair mechanisms.

Detailed explanation and installation guide for PiNetwork nodes This article will introduce the PiNetwork ecosystem in detail - Pi nodes, a key role in the PiNetwork ecosystem, and provide complete steps for installation and configuration. After the launch of the PiNetwork blockchain test network, Pi nodes have become an important part of many pioneers actively participating in the testing, preparing for the upcoming main network release. If you don’t know PiNetwork yet, please refer to what is Picoin? What is the price for listing? Pi usage, mining and security analysis. What is PiNetwork? The PiNetwork project started in 2019 and owns its exclusive cryptocurrency Pi Coin. The project aims to create a one that everyone can participate

There are many ways to install DeepSeek, including: compile from source (for experienced developers) using precompiled packages (for Windows users) using Docker containers (for most convenient, no need to worry about compatibility) No matter which method you choose, Please read the official documents carefully and prepare them fully to avoid unnecessary trouble.

Containerization improves Java function performance in the following ways: Resource isolation - ensuring an isolated computing environment and avoiding resource contention. Lightweight - takes up less system resources and improves runtime performance. Fast startup - reduces function execution delays. Consistency - Decouple applications and infrastructure to ensure consistent behavior across environments.

Deploy Java EE applications using Docker containers: Create a Dockerfile to define the image, build the image, run the container and map the port, and then access the application in the browser. Sample JavaEE application: REST API interacts with database, accessible on localhost after deployment via Docker.

Answer: Use PHPCI/CD to achieve rapid iteration, including setting up CI/CD pipelines, automated testing and deployment processes. Set up a CI/CD pipeline: Select a CI/CD tool, configure the code repository, and define the build pipeline. Automated testing: Write unit and integration tests and use testing frameworks to simplify testing. Practical case: Using TravisCI: install TravisCI, define the pipeline, enable the pipeline, and view the results. Implement continuous delivery: select deployment tools, define deployment pipelines, and automate deployment. Benefits: Improve development efficiency, reduce errors, and shorten delivery time.
