How to check the reason why docker container stopped
Mar 31, 2020 pm 06:00 PMDocker How to troubleshoot the error when the container service stops? During the use of the container, if the service cannot be used, you need to troubleshoot the errors in the container and repair the operation.
How to check the reason why the docker container stopped
1. Docker ps -a queries the starting container instance Status, first determine whether the container is started
2. Docker port Check the port. If it is a rest interface, you can manually simulate the parameter call. Do not test the RPC interface
3. Docker logs Check the business log , determine whether it is a business abnormality
4. Docker is generally a microservice. In this case, you can check the monitoring information of the microservice monitoring center
5. If there is a call chain similar to Zipkin, it is Even better, you can see the calling information of the business process.
For example, docker error troubleshooting: Unable to enter the container. You can enter the self-built centos7 base, but you cannot enter the mysql distributed by rancher.
#docker exec -it 3c1d bashrpc error: code = 2 desc = oci runtime error: exec failed: container_linux.go:247: starting container process caused "process_linux.go:110: decoding init error from pipe caused \" read parent: connection reset by peer\""
The reason for the error is that the new version 1.13.1-84 can be used normally after being reduced to 1.13.1-75.
For more related tutorials, please pay attention to the docker tutorial column on the PHP Chinese website.
The above is the detailed content of How to check the reason why docker container stopped. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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)

1. The Origin of .NETCore When talking about .NETCore, we must not mention its predecessor .NET. Java was in the limelight at that time, and Microsoft also favored Java. The Java virtual machine on the Windows platform was developed by Microsoft based on JVM standards. It is said to be the best performance Java virtual machine at that time. However, Microsoft has its own little abacus, trying to bundle Java with the Windows platform and add some Windows-specific features. Sun's dissatisfaction with this led to a breakdown of the relationship between the two parties, and Microsoft then launched .NET. .NET has borrowed many features of Java since its inception and gradually surpassed Java in language features and form development. Java in version 1.6

To develop a complete Python Web application, follow these steps: 1. Choose the appropriate framework, such as Django or Flask. 2. Integrate databases and use ORMs such as SQLAlchemy. 3. Design the front-end and use Vue or React. 4. Perform the test, use pytest or unittest. 5. Deploy applications, use Docker and platforms such as Heroku or AWS. Through these steps, powerful and efficient web applications can be built.

There are three ways to view the process information inside the Docker container: 1. Use the dockertop command to list all processes in the container and display PID, user, command and other information; 2. Use dockerexec to enter the container, and then use the ps or top command to view detailed process information; 3. Use the dockerstats command to display the usage of container resources in real time, and combine dockertop to fully understand the performance of the container.

Deploying a PyTorch application on Ubuntu can be done by following the steps: 1. Install Python and pip First, make sure that Python and pip are already installed on your system. You can install them using the following command: sudoaptupdatesudoaptinstallpython3python3-pip2. Create a virtual environment (optional) To isolate your project environment, it is recommended to create a virtual environment: python3-mvenvmyenvsourcemyenv/bin/activatet

Deploying and tuning Jenkins on Debian is a process involving multiple steps, including installation, configuration, plug-in management, and performance optimization. Here is a detailed guide to help you achieve efficient Jenkins deployment. Installing Jenkins First, make sure your system has a Java environment installed. Jenkins requires a Java runtime environment (JRE) to run properly. sudoaptupdatesudoaptininstallopenjdk-11-jdk Verify that Java installation is successful: java-version Next, add J

An efficient way to batch stop a Docker container includes using basic commands and tools. 1. Use the dockerstop$(dockerps-q) command and adjust the timeout time, such as dockerstop-t30$(dockerps-q). 2. Use dockerps filtering options, such as dockerstop$(dockerps-q--filter"label=app=web"). 3. Use the DockerCompose command docker-composedown. 4. Write scripts to stop containers in order, such as stopping db, app and web containers.

There are two ways to compare the differences in different Docker image versions: 1. Use the dockerdiff command to view changes in the container file system; 2. Use the dockerhistory command to view the hierarchy difference in the image building. These methods help to understand and optimize image versioning.

Through Docker containerization technology, PHP developers can use PhpStorm to improve development efficiency and environmental consistency. The specific steps include: 1. Create a Dockerfile to define the PHP environment; 2. Configure the Docker connection in PhpStorm; 3. Create a DockerCompose file to define the service; 4. Configure the remote PHP interpreter. The advantages are strong environmental consistency, and the disadvantages include long startup time and complex debugging.
