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22.12.2017
.
Figure 3: CrystalDiskInfo uses SMART data to detect the health of hard disks.
However, data deletion does not work the same way on SSDs. The storage blocks must be completely deleted first before
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20.10.2016
type my_struct
! Structures (Variables) of the the derived type my_struct
type(my_struct) :: data
type(my_struct), dimension(10) :: data_array
!
end program struct_test3
A very, very convenient feature called
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21.04.2016
Containers have become an important part of the IT industry because (1) they are more efficient than full (hardware-level) virtualization and (2) the container workflow readily supports DevOps
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01.06.2024
snapshots of processes, memory, paging, block I/O, traps, and CPU activity. This tool is especially useful for real-time system monitoring, providing essential data on the system's key resources
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09.06.2018
. Workflows provide some development and operations (DevOps) techniques to PS scripts, including the option of executing code blocks either sequentially or in parallel:
workflow test-systempresence {parallel
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21.08.2014
; however, this is not about the filesystem but about block devices. A block device is a mass storage device whose data is organized into fixed-size blocks (sectors) that allow random access. The counterpart
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13.02.2017
filesystem, a CD-ROM drive in Linux is usually a file called /dev/cdrom (actually, it's a symlink to /dev/sr0 for a SCSI drive), which streams data from your hardware to the system.
For security reasons, when
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29.09.2020
it correspondingly difficult to debug.
After a short refresher on Ceph basics, I offer useful tips for everyday monitoring of Ceph in the data center, especially in terms of performance. In addition to preventive
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03.12.2024
of the model or the training of the model to the test data set.
The first six layers of the model (call it a block) are shown in Listing 3.
Listing 3: First Block
model.add(layers.Conv2D(32, (3,3), padding
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26.01.2025
(call it a block) are shown in Listing 3.
Listing 3
First Block
model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu', input_shape=(32,32,3)))
model
