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Percona Monitoring and Management

作者:互联网

Docker

How to run PMM Server with Docker based on our Docker image.

The tags used here are for the current release. Other tags are available.

See also

Easy-install script

Before you start

Run

Summary


  1. Pull the image.

    docker pull percona/pmm-server:2
    
  2. Create a persistent data container.

    docker create --volume /srv \
    --name pmm-data \
    percona/pmm-server:2 /bin/true
    

    Important

    PMM Server expects the data volume to be /srv. Using any other value will result in data loss when upgrading.

    To check server and data container mount points:

    docker inspect pmm-data | grep Destination && \
    docker inspect pmm-server | grep Destination
    
  3. Run the image.

    docker run --detach --restart always \
    --publish 443:443 \
    --volumes-from pmm-data \
    --name pmm-server \
    percona/pmm-server:2
    
  4. In a web browser, visit https://localhost:443 (or http://localhost:80 if enabled) to see the PMM user interface. (If you are accessing the docker host remotely, replace localhost with the IP or server name of the host.)

Backup

Summary


  1. Stop the container.

    docker stop pmm-server
    
  2. Move the image.

    docker rename pmm-server pmm-server-backup
    
  3. Create a subdirectory (e.g., pmm-data-backup) and move to it.

    mkdir pmm-data-backup && cd pmm-data-backup
    
  4. Backup the data.

    docker cp pmm-data:/srv .
    

Upgrade

Summary


Tip

To see what release you are running, use the PMM Upgrade panel on the Home Dashboard, or run:

docker exec -it pmm-server \
curl -ku admin:admin https://localhost/v1/version

(If you are accessing the docker host remotely, replace localhost with the IP or server name of the host.)

  1. Perform a backup.

  2. Pull the latest image.

    docker pull percona/pmm-server:2
    
  3. Run it.

    docker run \
    --detach \
    --restart always \
    --publish 443:443 \
    --volumes-from pmm-data \
    --name pmm-server \
    percona/pmm-server:2
    

Restore

Summary


Important

You must have a backup to restore from.

  1. Stop the container.

    docker stop pmm-server
    
  2. Remove it.

    docker rm pmm-server
    
  3. Revert to the saved image.

    docker rename pmm-server-backup pmm-server
    
  4. Change directory to the backup directory (e.g. pmm-data-backup).

  5. Remove Victoria Metrics data folder.

    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 rm -r /srv/victoriametrics/data
    
  6. Copy the data.

    docker cp srv pmm-data:/
    
  7. Restore permissions.

    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R root:root /srv && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R pmm:pmm /srv/alertmanager && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R root:pmm /srv/clickhouse && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R grafana:grafana /srv/grafana && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R pmm:pmm /srv/logs && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R postgres:postgres /srv/postgres && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R pmm:pmm /srv/prometheus && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R pmm:pmm /srv/victoriametrics && \
    docker run --rm --volumes-from pmm-data -it percona/pmm-server:2 chown -R postgres:postgres /srv/logs/postgresql.log
    
  8. Start the image.

    docker start pmm-server
    

Remove

Summary


Caution

These steps delete the PMM Server Docker image and any accumulated PMM metrics data.

  1. Stop pmm-server container.

    docker stop pmm-server
    
  2. Remove containers.

    docker rm pmm-server pmm-data
    
  3. Remove the image.

    docker rmi $(docker images | grep "percona/pmm-server" | awk {'print $3'})
    

Docker compose

Summary


With this approach, data is stored in a volume, not in a pmm-data container.

  1. Copy and paste this text into a file called docker-compose.yml.

    version: '2'
    services:
      pmm-server:
        image: percona/pmm-server:2
        hostname: pmm-server
        container_name: pmm-server
        restart: always
        logging:
          driver: json-file
          options:
            max-size: "10m"
            max-file: "5"
        ports:
          - "443:443"
        volumes:
          - data:/srv
    volumes:
      data:
    
  2. Run:

    docker-compose up
    
  3. In a web browser, visit https://localhost:443 to see the PMM user interface. (If you are accessing the docker host remotely, replace localhost with the IP or server name of the host.)

Environment variables

Use the following Docker container environment variables (with -e var=value) to set PMM Server parameters.

VariableDescription
DISABLE_UPDATES Disable automatic updates.
DISABLE_TELEMETRY Disable built-in telemetry and disable STT if telemetry is disabled.
METRICS_RESOLUTION High metrics resolution in seconds.
METRICS_RESOLUTION_HR High metrics resolution (same as above).
METRICS_RESOLUTION_MR Medium metrics resolution in seconds.
METRICS_RESOLUTION_LR Low metrics resolution in seconds.
DATA_RETENTION How many days to keep time-series data in ClickHouse.
ENABLE_VM_CACHE Enable cache in VM.
ENABLE_ALERTING Enable integrated alerting.
ENABLE_AZUREDISCOVER Enable support for discovery of Azure databases.
ENABLE_BACKUP_MANAGEMENT Enable integrated backup tools.
PERCONA_TEST_SAAS_HOST SaaS server hostname.
PERCONA_TEST_DBAAS Enable testing DBaaS features. (Will be deprecated in future versions.)
ENABLE_DBAAS Enable DBaaS features.
PMM_DEBUG Enables a more verbose log level.
PMM_TRACE Enables a more verbose log level including trace-back information.

Ignored variables

These variables will be ignored by pmm-managed when starting the server. If any other variable is found, it will be considered invalid and the server won’t start.

VariableDescription
_HOMEHOSTNAMELANGPATHPWDSHLVLTERM Default environment variables.
GF_* Grafana’s environment variables.
SUPERVISOR_ supervisord environment variables.
PERCONA_TEST_ Unknown variable but won’t prevent the server starting.
PERCONA_TEST_DBAAS Deprecated. Use ENABLE_DBAAS.

Tips

Isolated hosts

If the host where you will run PMM Server has no internet connection, you can download the Docker image on a separate (internet-connected) host and securely copy it.

  1. On an internet-connected host, download the Docker image and its checksum file.

    wget https://downloads.percona.com/downloads/pmm2/2.20.0/docker/pmm-server-2.20.0.docker
    wget https://downloads.percona.com/downloads/pmm2/2.20.0/docker/pmm-server-2.20.0.sha256sum
    
  2. Copy both files to where you will run PMM Server.

  3. Open a terminal on the PMM Server host.

  4. (Optional) Check the Docker image file integrity.

    shasum -ca 256 pmm-server-2.20.0.sha256sum
    
  5. Load the image.

    docker load -i pmm-server-2.20.0.docker
    
  6. Create the pmm-data persistent data container.

    docker create --volume /srv \
    --name pmm-data percona/pmm-server:2.20.0 /bin/true
    
  7. Run the container.

    docker run \
    --detach \
    --restart always \
    --publish 443:443 \
    --volumes-from pmm-data \
    --name pmm-server \
    percona/pmm-server:2.20.0

标签:Management,Monitoring,--,server,Percona,pmm,docker,data,percona
来源: https://www.cnblogs.com/cheyunhua/p/15098713.html