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One metric to rule them all
31.10.2025
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/uptime.1.html Getloadavg (3) man page: http://www.kernel.org/doc/man-pages/online/pages/man3/getloadavg.3.html CentOS Deployment Guide – /proc/loadavg: http://www.centos.org/docs/5/html/5.2
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Building Big Iron in the Cloud with Google Compute Engine
11.06.2014
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BSD, and SELinux [2]; and Red Hat Enterprise Linux, SUSE, and Windows [3]. Instances are available with many options and are completely customizable from a hardware perspective. You can choose the number of cores
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Thread processing in Python
02.06.2020
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around the GIL is to run computationally intensive code outside of Python with tools such as Cython [1] and ctypes [2]. You can even use F2PY [3] with compiled C functions. All of the previously mentioned
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Service discovery, monitoring, load balancing, and more with Consul
04.10.2018
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"data_dir": "/var/consul", 08 "datacenter": "Datacenter-A", 09 "disable_update_check": true, 10 "enable_script_checks": true, 11 "enable_syslog": true, 12 "encrypt": "xxxxxxxxxxxxxx
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Finally: Java 9
13.02.2017
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will be followed this time, although test builds are now available online [2]. Jigsawing One core feature of Java 9 par excellence is the Java Platform Module System that became known as Project Jigsaw [3]. Thus
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Apache 2.4 with mod_lua
30.11.2025
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type="text" name="firstname"> 07
08 09 10 11 Listing 3 shows the content
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Service mesh for Kubernetes microservices
09.04.2019
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Version: networking.istio.io/v1alpha3 02 kind: Gateway 03 metadata: 04 name: wordpress-gateway 05 spec: 06 selector: 07 istio: ingressgateway 08 servers: 09 - port: 10 number: 443 11 name: https
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Secure your data channel with stunnel
25.03.2020
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ZJOUoUsZGlkk client2:q0eL78zFrbnESW6c/F0qit5MNCpS8IBgyh1BdXiyyuI client3:zkq8eT31Nib3IHWfp0yyu15BCW52VMbY8+LhVUt3ylA The client uses the appropriate password in the /etc/stunnel/psk-client1.txt file: client1:Wf
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VTP for VLAN management
04.10.2018
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active Fa0/1, Fa0/2, Fa0/3, Fa0/4, Fa0/5, Fa0/6, Fa0/7, Fa0/8, Fa0/9, Fa0/10, Fa0/11, Fa0/12 10
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Getting started with AI
26.01.2025
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, and was first released in March 2015. It developed a following fairly quickly because the models were popular at the time. Up to version 2.3, Keras supported multiple frameworks (back ends) that included Tensor

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