16%
30.01.2020
: 1 (f=1): [w(1)][100.0%][r=0KiB/s,w=1401KiB/s][r=0,w=350 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3104: Sat Oct 12 14:39:08 2019
write: IOPS=352, BW=1410KiB/s (1444kB/s)(82.8Mi
16%
11.02.2016
Use of mysqld
# ps aux | egrep 'mysqld|VSZ'
USER PID %CPU %MEM VSZ RSS START TIME COMMAND
mysql 1568 0.0 0.0 4440 744 Sep08 0:00 mysqld_safe
mysql 2337 0.1 5.9 29163040
16%
19.11.2019
, ioengine=libaio, iodepth=32
fio-3.1
Starting 1 process
Jobs: 1 (f=1): [w(1)][100.0%][r=0KiB/s,w=1401KiB/s][r=0,w=350 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3104: Sat Oct 12 14:39:08 2019
write: IOPS=352
16%
11.06.2014
_system_release = '12.04'
17 $eth0_mac = '08:00:27:c4:a1:d8'
18 $VirtInfo = {
19 virtualization_role => 'guest'
20 virtualization_type => 'virtualbox'
21 }
22 $memory_shared = '0'
23 $Network = {
24 networkdevices
16%
05.03.2014
:15:01 all 2.08 0.00 0.96 0.02 0.00 96.94
12:25:01 all 1.96 0.00 0.82 0.06 0.00 97.16
12:35:01 PM all 1.22 0.00 0.73 0.00 0
16%
20.03.2014
%iowait %steal %idle
12:15:01 all 2.08 0.00 0.96 0.02 0.00 96.94
12:25:01 all 1.96 0.00 0.82 0.06 0.00 97.16
12:35:01 PM
16%
18.02.2018
public_key = "${file("${var.ssh_pub_key}")}"
07 }
08 resource "digitalocean_droplet" "mywebapp" {
09 image = "docker-16-04"
10 name: guest
11 region = "fra1"
12 size = "512mb"
13 ssh
16%
09.10.2017
"SubnetMax": "10.99.0.0",
07 "Backend": {
08 "Type": "udp",
09 "Port": 7890
10 }
11 }
12 [...]
At first glance, this concept looks robust and simple
16%
11.04.2016
records in
1000000+0 records out
512000000 bytes (512 MB) copied, 1.58155 s, 324 MB/s
# dd of=file if=/dev/zero bs=512 count=1000000 oflag=direct
1000000+0 records in
1000000+0 records out
512000000 bytes
16%
25.09.2023
.getenv("REDIS_HOST", "localhost")
07 r = redis.Redis(host=redis_host, port=6379, decode_responses=True)
08
09 @app.route('/')
10 def hello():
11 count = r.incr('counter')
12 return f'Hello, you have visited {count} times.'
13
