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to technical computing
06 | | | | | | |/ _` | |
07 | | |_| | | | (_| | | Version 0.0.0+86921303.rc6cb
08 _/ |\__'_|_|_|\__'_| | Commit c6cbcd11c8 (2012-05-25 00:27:29)
09 |__/ |
10
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={"city": "New York"}), PointStruct(id=5, vector=[0.24, 0.18, 0.22, 0.44], payload={"city": "Beijing"}), PointStruct(id=6, vector=[0.35, 0.08, 0.11, 0.44], payload={"city": "Mumbai"}),],
)
The database
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[6] to fire up the clever Stethoscope. On my Linux Mint (Tara) laptop, which sits atop Ubuntu Linux 18.04, I already have Docker CE installed (instructions for installing Docker CE are online [7]). I
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is adding these entries to the Cobbler database. A typical example looks something like Listing 1.
Listing 1
System Settings
01 # cobbler system add --name=foo --profile=ksprofile-devel-rhel6 ... 6
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;
05
06 public class HelloWorldSample
07 {
08 static async Task Main(string [] args)
09 {
10 await HelloWorldSample.Run();
11 }
12
13 public static async Task Run()
14 {
15 using var scanning
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and production.
To show how monitoring profiles can be implemented for a specific server, the example distinguishes between mail, web, and database servers. It assumes that the stable version 1.12.3 of OpenNMS [6 ... 22
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seq_timeout = 10
08 tcpflags = syn
09 command = /usr/sbin/iptables -A INPUT -s \
%IP% -p tcp --dport 22 -j ACCEPT
10
11 [closeSSH]
12 sequence = 9000
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://medium.com/@mitrecaldera/announcing-mitre-caldera-for-ot-47c6f22a676d), Caldera for OT builds on that functionality, "offering 29 distinct OT abilities to the hundreds of existing enterprise-focused abilities already included with Caldera." These new plugins
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_username }}"
05 password: "{{ Vv_password }}"
06 name: "{{ vm_name }}"
07 datacenter: "{{ Vv_datacent }}"
08 folder: "{{ Vv_folder }}"
09 state: poweredoff
10 when: vm
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and deploy slides automatically with OpenShift on every new commit in the Git repository. The slides are available online [5] and the source code of this example is available at the CETIC Git repository [6
