To clean the Docker memory cache, you can follow these steps: Use the docker system prune command to automatically clean caches, images, containers, and volumes. Use the docker image prune command to delete unused images. Use the docker container prune command to delete stopped and unused containers. Use the docker volume prune command to delete unused volumes. Use the docker-clean tool for finer cache cleaning. Adjust Docker memory limits to increase the amount of allocated memory. Perform these steps regularly and use monitoring tools or Cron to do it
How to clean Docker memory cache
Docker uses caches to optimize its operations, but over time, the cache may grow and consume a lot of memory. Here are the steps that help clean Docker memory cache:
1. Use docker system prune
command
docker system prune
command automatically cleans up Docker caches, including images, containers, volumes, and networks. It frees disk space and memory by deleting items that are no longer in use. To run this command, enter:
<code class="bash">docker system prune</code>
2. Delete unused images
Unused images can take up a lot of disk space and memory. Regularly use the docker image prune
command to delete unused images:
<code class="bash">docker image prune</code>
3. Delete unused containers
Unused containers can also consume memory. Use docker container prune
command to delete the stopped and no longer needed container:
<code class="bash">docker container prune</code>
4. Delete unused volumes
Unused volumes can also consume memory. Use docker volume prune
command to delete unused volumes:
<code class="bash">docker volume prune</code>
5. Use docker-clean
tool
Docker-clean is a third-party tool that provides finer cache cleaning options. It can delete specific content in images, containers, volumes, and networks. To install docker-clean, follow the instructions on its GitHub page.
6. Adjust Docker memory limits
If Docker memory usage is high, you can increase the amount of memory allocated to Docker. In the /etc/docker/daemon.json
configuration file, find memory-swap
and memory-limit
parameters and increase their values as needed.
Regular maintenance
To prevent the Docker cache from growing too much, it is important to perform these cleanup steps regularly. You can set up a Cron job or use monitoring tools to automate this process.
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The relationship between Docker and Kubernetes is: Docker is used to package applications, and Kubernetes is used to orchestrate and manage containers. 1.Docker simplifies application packaging and distribution through container technology. 2. Kubernetes manages containers to ensure high availability and scalability. They are used in combination to improve application deployment and management efficiency.

Docker solves the problem of consistency in software running in different environments through container technology. Its development history has promoted the evolution of the cloud computing ecosystem from 2013 to the present. Docker uses Linux kernel technology to achieve process isolation and resource limitation, improving the portability of applications. In development and deployment, Docker improves resource utilization and deployment speed, supports DevOps and microservice architectures, but also faces challenges in image management, security and container orchestration.

Docker and virtual machines have their own advantages and disadvantages, and the choice should be based on specific needs. 1.Docker is lightweight and fast, suitable for microservices and CI/CD, fast startup and low resource utilization. 2. Virtual machines provide high isolation and multi-operating system support, but they consume a lot of resources and slow startup.

The core concept of Docker architecture is containers and mirrors: 1. Mirrors are the blueprint of containers, including applications and their dependencies. 2. Containers are running instances of images and are created based on images. 3. The mirror consists of multiple read-only layers, and the writable layer is added when the container is running. 4. Implement resource isolation and management through Linux namespace and control groups.

Docker simplifies the construction, deployment and operation of applications through containerization technology. 1) Docker is an open source platform that uses container technology to package applications and their dependencies to ensure cross-environment consistency. 2) Mirrors and containers are the core of Docker. The mirror is the executable package of the application and the container is the running instance of the image. 3) Basic usage of Docker is like running an Nginx server, and advanced usage is like using DockerCompose to manage multi-container applications. 4) Common errors include image download failure and container startup failure, and debugging skills include viewing logs and checking ports. 5) Performance optimization and best practices include mirror optimization, resource management and security improvement.

The steps to deploy containerized applications using Kubernetes and Docker include: 1. Build a Docker image, define the application image using Dockerfile and push it to DockerHub. 2. Create Deployment and Service in Kubernetes to manage and expose applications. 3. Use HorizontalPodAutoscaler to achieve dynamic scaling. 4. Debug common problems through kubectl command. 5. Optimize performance, define resource limitations and requests, and manage configurations using Helm.

Docker is an open source platform for developing, packaging and running applications, and through containerization technology, solving the consistency of applications in different environments. 1. Build the image: Define the application environment and dependencies through the Dockerfile and build it using the dockerbuild command. 2. Run the container: Use the dockerrun command to start the container from the mirror. 3. Manage containers: manage container life cycle through dockerps, dockerstop, dockerrm and other commands.

How to build portable applications with Docker and Linux? First, use Dockerfile to containerize the application, and then manage and deploy the container in a Linux environment. 1) Write a Dockerfile and package the application and its dependencies into a mirror. 2) Build and run containers on Linux using dockerbuild and dockerrun commands. 3) Manage multi-container applications through DockerCompose and define service dependencies. 4) Optimize the image size and resource configuration, enhance security, and improve application performance and portability.


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