14%
25.03.2020
, enter:
AuditLogs
| where Category == "GroupManagement"
| where ActivityDisplayName == "Add member to group"
| project Identity, TargetResources[0].modifiedProperties[1].new-Value, TargetResources[0].user
14%
11.10.2016
. It is currently working on version 1.7.0 (code-named Hummingbird), which will be the eighth release of ONOS.
The ONOS team includes various other participants, including service providers such as AT&T, China
14%
18.07.2013
the beginning, thanks to its compatibility with Amazon Web Services (AWS) and EC2 S3. The current version is still 2.0.3 from 2011. It is worth mentioning that version 1.5 of Eucalyptus was officially integrated
14%
24.04.2012
= alice
mon addr = 10.42.0.101:6789
[mon.b]
host = bob
mon addr = 10.42.0.102:6789
[mon.c]
host = charlie
mon addr = 10.42.0.103:6789
[osd.0]
host = alice
[osd.1]
host = bob
[osd.2
14%
10.12.2012
virtualization of domain controllers. And, making snapshots of domain controllers is no longer a problem either (see the article on Hyper-V 3.0 in this issue). VMware and other virtualization vendors likely
14%
14.06.2017
image is stored somewhere the user has permission:
$ time mksquashfs /home/laytonjb/20170502 /home/laytonjb/squashfs/20170502.sqsh
Parallel mksquashfs: Using 4 processors
Creating 4.0 filesystem
14%
16.07.2019
presentation by Matthew Rocklin. It was run in a Jupyter notebook to get the timings.
Listing 1: Python First Run Without Numba
import numpy
def sum(x):
total = 0
for i in range(x.shape[0]):
total
14%
10.04.2015
add -net 192.168.100.0/24 gw 192.168.2.2 dev eth0
up route add -net 192.168.13.0/24 gw 192.168.2.2 dev eth0
Listing 2
Set Routes
$ sudo route add -net 192.168.100.0/24 gw 192
14%
14.08.2017
/laytonjb/squashfs/20170502.sqsh
Parallel mksquashfs: Using 4 processors
Creating 4.0 filesystem on /home/laytonjb/squashfs/20170502.sqsh, block size 131072.
[================================================-] 2904/2904 100
14%
01.08.2019
]. It was run in a Jupyter notebook to get the timings.
Listing 1
Python First Run Without Numba
import numpy
def sum(x):
total = 0
for i in range(x.shape[0]):
total +=x[i]
return
