$ docker stats
CONTAINER ID NAME CPU % MEM USAGE / LIMIT MEM % NET I/O BLOCK I/O PIDS
7f8231a8de0d kong-1 1.01% 475.4MiB / 15.51GiB 2.99% 153kB / 314kB 6.47MB / 77.8kB 9
4bbe432bb73a kong-2 0.41% 476.8MiB / 15.51GiB 3.00% 167kB / 325kB 6.37MB / 77.8kB 9
1fc9016f35ee kong-admin 0.17% 139.4MiB / 15.51GiB 0.88% 76.2kB / 45.1kB 112MB / 46.3MB 12
9798cce7f2a4 kong-pgsql 0.05% 38.43MiB / 15.51GiB 0.24% 688kB / 383kB 21MB / 3.99MB 12
d53addc8f6cf nacos-2 2.21% 1.053GiB / 15.51GiB 6.79% 16.7MB / 16.6MB 6.21MB / 25.9MB 426
9a7b0e1c135c nacos-1 2.26% 1.038GiB / 15.51GiB 6.69% 16.6MB / 16.8MB 16.2MB / 29.2MB 430
8cdf81476a36 nacos-3 2.12% 1.035GiB / 15.51GiB 6.67% 16.5MB / 16MB 5.91MB / 25.7MB 425
39b52f4bb556 nacos-mysql 0.04% 207.3MiB / 15.51GiB 1.31% 603kB / 881kB 40.7MB / 13.2MB 36
options
Options:
-a, --all Show all containers (default shows just running)
--format string Pretty-print images using a Go template
--no-stream Disable streaming stats and only pull the first result
--no-trunc Do not truncate output
获取所有容器的状态信息
$ docker stats --no-stream --no-trunc --format "{{.Container}}\t {{.Name}}\t {{.CPUPerc}}\t {{.MemUsage}}\t {{.NetIO}}\t {{.BlockIO}}" -a
7f8231a8de0d kong-1 0.77% 504.5MiB / 15.51GiB 292kB / 618kB 6.47MB / 77.8kB
4bbe432bb73a kong-2 0.99% 508.1MiB / 15.51GiB 301kB / 625kB 6.37MB / 77.8kB
40ebf8a24cd0 kong-migrations 0.00% 0B / 0B 0B / 0B 0B / 0B
1fc9016f35ee kong-admin 0.00% 138.2MiB / 15.51GiB 76.4kB / 45.1kB 112MB / 46.3MB
9798cce7f2a4 kong-pgsql 0.00% 36.07MiB / 15.51GiB 1.29MB / 655kB 22.1MB / 7.49MB
d53addc8f6cf nacos-2 3.80% 1.087GiB / 15.51GiB 35.6MB / 35.4MB 6.21MB / 49.9MB
9a7b0e1c135c nacos-1 4.26% 1.049GiB / 15.51GiB 35.3MB / 36MB 16.2MB / 51.1MB
8cdf81476a36 nacos-3 2.56% 1.04GiB / 15.51GiB 35MB / 33.9MB 5.91MB / 49.2MB
39b52f4bb556 nacos-mysql 0.13% 207.7MiB / 15.51GiB 1.27MB / 1.87MB 40.7MB / 13.2MB
获取某个容器的内存消耗
$ docker stats nacos-2 --no-stream --no-trunc --format {{.MemUsage}}
1.089GiB / 15.51GiB
总结
docker stats 可以用来监控容器运行种状态，获取需要的状态数据