8%
30.11.2025
= debug
06 identity = rawhide.tuxgeek.de
07
08 # connector plugin config
09 connector = stomp
10 plugin.stomp.host = activemq.tuxgeek.de
11 plugin.stomp.port = 6163
12 plugin.stomp.user = unset
13 plugin
8%
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
8%
07.10.2014
.snap
s ntestvm1.img 5 8.0 GB 292 MB 2.4 GB 2014-03-01 11:42 982a3a 2 mar.snap
s ntestvm1.img 6 8.0 GB 128 MB 2.6 GB 2014-03-10 19:48 982a3b 2 mar2.snap
ntestvm1.img 0 8.0 GB
8%
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
8%
30.11.2025
17347 2010-04-12 08:43 systemtap.txt
process("/bin/ls").function("main@/usr/src/debug/coreutils-7.6/src/ls.c:1225").call
process("/bin/ls").function("set_program_name@/usr/src/debug/coreutils-7.6/lib
8%
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
8%
17.02.2015
return float(val)
08 except:
09 return None
10
11 with open(sys.argv[1]) as csvfile:
12 collec = MongoClient()["galaxy"]["comets"]
13 for row in csv.reader(csvfile, delimiter="\t"):
14 try
8%
09.08.2015
resources = Resources(cpu = 0.1, ram = 20*MB, disk = 20*MB),
09 processes = [hello_world_process])
10
11 hello_world_job = Job(
12 cluster = 'test',
13 role = os.getenv('USER'),
14 task = hello
8%
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
8%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52