What software can docker run?

Docker is a containerization technology that packages applications into an image file and defines its running environment and dependencies in the image, so that applications can be easily deployed in different computing environments. Operation and management. Because Docker supports a wide range of image sources, Docker can run virtually any software that supports the Linux operating system and does not require a GUI environment.

Let’s take a look at some common software categories supported by Docker.

1. Web Server

Docker supports numerous web servers and application services, such as: Apache, Nginx, Tomcat, NGINX Unit, OpenResty, lighttpd, Caddy, and more. Among them, Apache and Nginx are the most common web servers.

2. Database

Docker also supports a large number of common database software, such as: MySQL, PostgreSQL, Redis, MongoDB, Cassandra, Oracle, etc. These database software can be run through Docker images, making them easier and more convenient to deploy, use and manage.

3. Cache Server

Since the cache server is deployed very frequently, operation and maintenance personnel have produced many cache server Docker images. For example, Docker images are available for Redis, Memcached, Elasticsearch, and RabbitMQ.

4. Data analysis and calculation

Docker can also support data analysis and calculation software environments, such as: Jupyter Notebook, Apache Spark, R language, Python, etc. These applications and development environments can be quickly deployed and run in Docker containers to facilitate the work of data analysts.

5. Containerized cloud services

Docker also has good support for containerized cloud services, such as Kubernetes, Docker Swarm, Rancher, OpenShift, Mesosphere DC/OS and Nomad, etc. . These platforms provide more advanced functions that can extend Docker features and make Docker running more convenient.

In short, Docker supports a wide range of software types, far more than the above types, and can achieve rapid deployment and operation between software and improve the work efficiency of operation and maintenance personnel. Therefore, in today's cloud computing and DevOps It has been widely used in the field.

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