Docker logs are usually stored in the /var/log directory of the container. To access the log file directly, you must use the docker inspect command to obtain the log file path, and then use the cat command to view it. You can also use the docker logs command to view the logs and add the -f flag to continuously receive the logs. When creating a container, you can use the --log-opt flag to specify a custom log path. In addition, logging can be recorded using the log driver, LogAgent, or stdout/stderr.
Docker application log storage location
Direct access to container log files:
-
While the container is running, run the following command to find the log file:
<code>docker inspect <container_name> | grep LogPath</container_name></code>
-
After finding the log file, use the
cat
command to view:<code>cat <log_file></log_file></code>
Use the docker logs
command:
-
Run the following command to view the container log:
<code>docker logs <container_name></container_name></code>
*The log can be received continuously using the -f
flag:
<code>docker logs -f <container_name></container_name></code>
Configure custom log paths:
-
When creating a container, you can use
--log-opt
flag to specify a custom log path:<code>docker run --log-opt max-size=50m --log-opt max-file=3 <image_name></image_name></code>
-
After the container is run, verify the log path with the following command:
<code>docker inspect <container_name> | grep LogPath</container_name></code>
Other methods:
- Using log drivers: Docker provides a variety of log drivers, such as
json-file
andsyslog
, allowing logs to be stored on external targets. - LogAgents such as Fluentd and Logstash can collect and centralize logs from multiple containers.
- Use stdout/stderr: The application can write log information to standard output or standard errors, which can be accessed through the
docker logs
command.
The above is the detailed content of Docker application log storage location. For more information, please follow other related articles on the PHP Chinese website!

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]

Four ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)

Methods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database


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