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32%
Time-series-based monitoring with Prometheus
14.08.2017
Home »  Archive  »  2017  »  Issue 40: Lean...  » 
Lead Image © Juthamas Oonhawat, 123RF.com
such as containers. In native cloud environments, Prometheus [3], with its time series database approach, has therefore blossomed into an indispensable tool. The software is related to the Kubernetes [4] container
32%
Monitoring in the Google Cloud Platform
20.06.2022
Home »  Archive  »  2022  »  Issue 69: Terra...  » 
Lead Image © Maksym Chornii, 123rf.com
Installing the Ops Agent :> agents_to_install.csv && echo '"projects/playground-gs/zones/europe-west3-c/instances/test-vm1","[{""type"":""ops-agent""}]"' > agents_to_install.csv && curl -sSO https://dl
32%
Security analysis with Security Onion
04.04.2023
Home »  Archive  »  2023  »  Issue 74: The F...  » 
Photo by Mick Haupt on Unsplash
and patterns in the log data and then generate alarms or events from the corresponding data for further processing by analysts. Security Onion comes with more than 500 of these Plays, which you can use as
32%
MinIO: Amazon S3 competition
02.02.2021
Home »  Archive  »  2021  »  Issue 61: Secur...  » 
Lead Image © zelfit, 123RF.com
The Amazon Simple Storage Service (S3) protocol has had astonishing development in recent years. Originally, Amazon regarded the tool merely as a means to store arbitrary files online ... MinIO promises no less than a local object store with a world-class S3 interface and features that even the original lacks. ... MinIO: Amazon S3 competition
32%
Protecting the production environment
30.05.2021
Home »  Archive  »  2021  »  Issue 63: Autom...  » 
Photo by Intricate Explorer on Unsplash
that Puppet cannot detect. A typical example in the Unix environment is the sequence for setting up a service. You have to (1) install the package, (2) adjust its configuration file, and (3) start
32%
Monitoring and service discovery with Consul
14.03.2018
Home »  Archive  »  2018  »  Issue 44: Cloud...  » 
Photo by Joshua Earle on Unsplash
service ensures that virtual setups expand and contract as needed; the provider markets the corresponding functionality under the name Auto Scaling [3]. However, it is practically impossible to use
32%
Improved Performance with Parallel I/O
08.10.2015
Home »  Archive  »  2015  »  Issue 29: Rescu...  » 
Lead Image © Ying Feng Johansson, 123RF.com
that many applications use, is to have each TP write to its own file. The concept is simple, because there is zero coordination between TPs. All I/O is independent of all other I/O. Figure 3 illustrates
32%
Searching for security flaws and exploits with Burp Suite
20.03.2014
Home »  Archive  »  2014  »  Issue 19: Perim...  » 
+ (in Tools  | Cookie Manager+ ) to locate a cookie and see its details. Figure 6 shows an example of a JSESSION cookie (from a Fortune 500 firm) issued from the web server without a Secure flag
32%
Building Big Iron in the Cloud with Google Compute Engine
11.06.2014
Home »  Archive  »  2014  »  Issue 21: Manag...  » 
Lead Image © Zavalnyuk Sergey, 123RF.com
in its almost 500GB of glory (Listing 3). Listing 3 Viewing a Disk 01 joe@gcerocks-instance-1:~$ df -hl 02 Filesystem Size Used Avail Use
32%
Let the hardware do the heavy lifting
09.06.2018
Home »  Archive  »  2018  »  Issue 45: Autom...  » 
Photo by Victor Freitas on Unsplash
for the foreseeable future. Hardware assistance with tasks has the additional benefit of lowering system costs tremendously (every 10% increase in CPU ~ $500 in acquisition costs) and allowing the user to trade CPU

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