Solution to insufficient docker memory: 1. Find "C:\Users\(username)\AppData\Roaming\Docker\settings.json"; 2. Edit the memoryMiB value; 3. Restart docker.
The operating environment of this article: Windows 7 system, docker desktop win version, Dell G3 computer.
How to solve the problem of insufficient docker memory?
Solution to docker dektop Not enough memory Insufficient RAM, Unable to start
After modifying RAM to 14Gb, the startup failed, prompting insufficient memory, unable to change from GUI settings, prompting The error is as follows
Problem
Unable to start at Docker.Core.Pipe.NamedPipeClient.d__5.MoveNext() --- End of stack trace from previous location where exception was thrown --- at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw() at Docker.Core.Pipe.NamedPipeClient.Send(String action, Object[] parameters) at Docker.Actions.DoStart(SynchronizationContext syncCtx, Boolean showWelcomeWindow, Boolean executeAfterStartCleanup) at Docker.Actions.<>c__DisplayClass24_0.b__0() at Docker.ApiServices.TaskQueuing.TaskQueue.<>c__DisplayClass17_0.<.ctor>b__1() Not enough memory in the system to start the virtual machine DockerDesktopVM. Could not initialize memory: Ran out of memory (0x8007000E). 'DockerDesktopVM' failed to start. (Virtual machine ID E882D002-05C8-47C9-B90E-303A9C6E22EC) Not enough memory in the system to start the virtual machine DockerDesktopVM with ram size 2048 megabytes. (Virtual machine ID E882D002-05C8-47C9-B90E-303A9C6E22EC)
Solution
Out of memory - Issue since latest update · Issue #4368 · docker/for-win https://github.com/docker/for-win/issues/4368
The solution is that you can manually edit the settings.json file to reduce the VM memory. This is usually in
C:\Users\(username)\AppData\Roaming\Docker\settings.json
. Edit the memoryMiB
value.
Restart docker problem solved!
Recommended learning: "docker tutorial"
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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.

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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.

Docker and Kubernetes improve application deployment and management efficiency through container orchestration. 1.Docker builds images through Dockerfile and runs containers to ensure application consistency. 2. Kubernetes manages containers through Pod, Deployment and Service to achieve automated deployment and expansion.

Docker and Kubernetes are leaders in containerization and orchestration. Docker focuses on container lifecycle management and is suitable for small projects; Kubernetes is good at container orchestration and is suitable for large-scale production environments. The combination of the two can improve development and deployment efficiency.

Docker and Linux are perfect matches because they can simplify the development and deployment of applications. 1) Docker uses Linux's namespaces and cgroups to implement container isolation and resource management. 2) Docker containers are more efficient than virtual machines, have faster startup speeds, and the mirrored hierarchical structure is easy to build and distribute. 3) On Linux, the installation and use of Docker is very simple, with only a few commands. 4) Through DockerCompose, you can easily manage and deploy multi-container applications.


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