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13%
The AWS CDK for software-defined deployments
05.02.2019
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Lead Image © krisckam, 123RF.com
Formation and Terraform in this article as points of comparison, the list of other tools that can provision infrastructure is long: Troposphere [12], Sceptre [13], Bash scripts, custom apps leveraging SDKs, Ansible [14
13%
Container and hardware e-virtualization under one roof
17.10.2011
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.6.24: 1.5-23 05 pve-kernel-2.6.24-11-pve: 2.6.24-23 06 qemu-server: 1.1-16 07 pve-firmware: 1.0-5 08 libpve-storage-perl: 1.0-13 09 vncterm: 0.9-2 10 vzctl: 3.0.23-1pve11 11 vzdump: 1.2-5 12 vzprocps: 2
13%
Exploring Kubernetes with Minikube
11.09.2018
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Ain't Markup Language'' [6]), so be careful. Listing 2:nginx.tml 01 --- 02 03 apiVersion: extensions/v1beta1 04 kind: Deployment 05 metadata: 06 name: nginx-dep 07 spec: 08 replicas
13%
Automatic build and deploy with OpenShift and GitLab CI
04.10.2018
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Photo by Jantine Doornbos on Unsplash
Lab CI/CD pipeline (image source: GitLab Docs [12]). Every commit pushed to GitLab generates and attaches a pipeline, which is a collection of jobs split into different stages, as described
13%
Warewulf Cluster Manager – Master and Compute Nodes
22.05.2012
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.x86_64 0:1.9-22.el6_2.1 libacl.x86_64 0:2.2.49-6.el6 libattr.x86_64 0:2.4.44-7.el6 libblkid.x86_64 0:2.17.2-12.4.el6 libcap.x86_64 0
13%
Kubernetes StatefulSet
05.02.2023
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Photo by Ashley Light on Unsplash
06 labels: 07 app: mariadb 08 spec: 09 type: NodePort 10 ports: 11 - port: 3306 12 protocol: TCP 13 selector: 14 app: mariadb 15 --- 16 apiVersion: v1 17 kind: Config
13%
Network backups with Amanda
05.12.2016
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/state/log" 05 dumpuser "amanda" 06 labelstr "MyData[0-9][0-9]" 07 autolabel "MyData%%" EMPTY VOLUME_ERROR 08 tpchanger "chg-disk:/amanda/vtapes" 09 tapecycle 4 10 dumpcycle 3 days 11 amrecover_changer "changer
13%
Linux device mapper writecache
30.01.2020
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: 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
13%
Profiling Python code
30.01.2020
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of code. Listing 1 Time to Execute import time start_time = time.time() # Code to check follows a, b = 1,2 c = a + b # Code to check ends end_time = time.time() time_taken = (end_time- start
13%
Web applications with Julia
26.01.2025
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.0.0.1", PORT) do ws 08 for msg in ws 09 d = Meta.parse(JSON.parse(msg)["s"]) 10 @info d 11 @info typeof(d) 12 WebSockets.send(ws, """

You picked $d

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