14%
03.12.2015
_config = file
05 store_file_config = ./client.conf
06
07 store_volatile = sqlite
08 store_sqlite_volatile = ./volatile.sqlite
09
10 log = on
11 log_file = ./dhcpy6d.log
12
13 really_do_it = yes
14
15 dns
14%
11.04.2016
_options=synced
08 servers=backend1, [...]
09 user=maxscale
10 passwd=secret
11
12 [Galera Listener]
13 type=listener
14 service=Galera Router
15 protocol=MySQLClient
16 address=10.42.0.1
17 port=3306
18
19 [Galera
14%
15.08.2016
(Figure 3) [9]. Operators of a (local) web server first download the swagger editor.zip archive for the current Swagger editor (not the source code) [15]. Unzip this and then upload the complete contents
14%
05.12.2016
than 15 years. Today, three companies are officially working on its further development: MySQL itself, which was acquired by Oracle in 2009; MariaDB, which some original and core developers of My
14%
13.06.2016
="hanscees@hanscees.con" #adjust
11
12 LECROOT="/etc/letsencrypt/live"
13 mkdir /root/letsencrypt #justincase
14
15 #lets get certs
16 echo "will get the certs now" & sleep 3
17 for i in `echo $DOMAINS` ; do
18 echo "getting certs
14%
03.08.2023
-performance NVMe SSD achieves >90,000 IOPS/W for random reads of 4K, with latencies between 70µs (read) to 10µs (write) at around 1.5 million IOPS/SSD.
In terms of the performance parameters mentioned previously (i
14%
09.01.2013
version 1.5. The idea is actually quite simple: The connection between the client and the load balancer is encrypted; the connection between the balancer and the actual destination host is not. In most
14%
11.08.2025
.jpg 15 cat.9874.jpg 5 cat.9927.jpg 51 cat.997.jpg 37 dog.9809.jpg 32 dog.9862.jpg 25 dog.9915.jpg
27 cat.9821.jpg 14 cat.9875.jpg 24 cat.9928.jpg 29 cat.9980.jpg 23 dog.9810.jpg 22 dog.9863
14%
25.10.2011
authentication_algorithm pre_shared_key;
08 dh_group modp1024;
09 }
10 generate_policy off;
11 }
12
13 sainfo address 192.168.2.0/24 any address 172.16.0.0/16 any {
14 pfs_group modp1024;
15
14%
05.12.2014
(data$IPAddress)
14 srt <- ct[order(ct$freq, decreasing = TRUE), ]
15 top10 <- head(srt,10)
16
17 ggplot(data=top10, aes(x=x, y=freq, fill=x))
+ geom_histogram(stat="identity", colour="black", show
