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Percona Monitoring and Management

2021-08-04 14:34:15 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.

Before you start

Install Docker 1.12.6 or higher.
(Optional) Install Docker compose.

Run

Summary

Pull the Docker image.
Copy it to create a persistent data container.
Run the image.
Open the PMM UI in a browser.

Pull the image.
```
docker pull percona/pmm-server: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
```

Run the image.

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

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

Stop and rename the pmm-server container.
Take a local copy of the pmm-data container’s /srv directory.

Stop the container.
```
docker stop pmm-server
```

Move the image.

docker rename pmm-server pmm-server-backup

Create a subdirectory (e.g., pmm-data-backup) and move to it.
```
mkdir pmm-data-backup && cd pmm-data-backup
```
Backup the data.
```
docker cp pmm-data:/srv .
```

Upgrade

Summary

Stop the running container.
Backup (rename) the container and copy data.
Pull the latest Docker image.
Run it.

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.)

Perform a backup.
Pull the latest image.
```
docker pull percona/pmm-server:2
```

Run it.

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

Restore

Summary

Stop and remove the container.
Restore (rename) the backup container.
Restore saved data to the data container.
Restore permissions to the data.

Important

You must have a backup to restore from.

Stop the container.
```
docker stop pmm-server
```
Remove it.
```
docker rm pmm-server
```

Revert to the saved image.

docker rename pmm-server-backup pmm-server

Change directory to the backup directory (e.g. pmm-data-backup).

Remove Victoria Metrics data folder.

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

Copy the data.
```
docker cp srv pmm-data:/
```

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

Start the image.
```
docker start pmm-server
```

Remove

Summary

Stop the container.
Remove (delete) both the server and data containers.
Remove (delete) both images.

Caution

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

Stop pmm-server container.
```
docker stop pmm-server
```
Remove containers.
```
docker rm pmm-server pmm-data
```

Remove the image.

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

Docker compose

Summary

Copy and paste the docker-compose.yml file.
Run docker-compose up.

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

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:

Run:
```
docker-compose up
```
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.

Variable	Description
`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.

Variable	Description
`_`, `HOME`, `HOSTNAME`, `LANG`, `PATH`, `PWD`, `SHLVL`, `TERM`	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

Disable manual updates via the Home Dashboard PMM Upgrade panel by adding -e DISABLE_UPDATES=true to the docker run command.
Eliminate browser certificate warnings by configuring a trusted certificate.
Optionally enable an (insecure) HTTP connection by adding --publish 80:80 to the docker run command. However note that PMM Client requires TLS to communicate with the server so will only work on the secure port.

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.

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

Copy both files to where you will run PMM Server.
Open a terminal on the PMM Server host.
(Optional) Check the Docker image file integrity.
```
shasum -ca 256 pmm-server-2.20.0.sha256sum
```

Load the image.

docker load -i pmm-server-2.20.0.docker

Create the pmm-data persistent data container.

docker create --volume /srv \
--name pmm-data percona/pmm-server:2.20.0 /bin/true

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