28%
26.01.2012
2
0
0
0
0
0
2
256KB < < 512KB
2
2
2
3
2
2
2
3
512KB < < 1MB
3
2
2
24%
12.05.2020
TAG IMAGE ID CREATED SIZE
nvidia/cuda 10.1-base-ubuntu18.04 3b55548ae91f 4 months ago 106MB
hello-world latest fce289e99eb9 16 months ago 1.84kB
Running the nvidia
23%
04.08.2020
(minified by 25.99X)
from python:2.7-alpine - 84.3MB => 23.1MB (minified by 3.65X)
from python:2.7.15 - 916MB => 27.5MB (minified by 33.29X)
from centos:7 - 647MB => 23MB (minified by 28.57X)
from centos
23%
07.06.2019
sha256:f1ca87d9adb678b180c31bf21eb9798b043c22571f419ed844bca1d103f2a2f7 bf85f2b6bf52 13 months ago 15.5MB
The output shows information on both the original nginx:alpine image and the updated
23%
29.09.2020
-line operations.
To install Dockly [3], you can choose one of two routes: with npm (see the "Installation by npm" box for that route) and in a Docker container. For context, on my laptop, about 43MB of file space
22%
16.03.2021
, (T) 4096B-4096B, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5956: Sat Jan 9 16:38:53 2021
read: IOPS=256k, BW=998MiB/s (1047MB
22%
11.04.2016
(512 MB) copied, 49.1424 s, 10.4 MB/s
If you want to empty the read and write cache for benchmark purposes, you can do so using:
sync; echo 3 > /proc/sys/vm/drop_caches
Sequential access
22%
26.01.2012
32KB < < 128KB
64
128KB < < 256KB
0
256KB < < 512KB
2
512KB < < 1MB
3
1MB < < 10MB
87
10MB < < 100MB
0
100MB < < 1GB
22%
15.02.2012
32KB < < 128KB
64
128KB < < 256KB
0
256KB < < 512KB
2
512KB < < 1MB
3
1MB < < 10MB
87
10MB < < 100MB
0
100MB < < 1GB
21%
31.10.2025
(depending on the RAID level). These chunks are usually 1GB for data and 256MB for metadata. One exception is the first metadata chunk, which mkfs.btrfs creates 1GB in size, assuming there is enough space
