17%
02.08.2021
solution. Although S3-based object storage, storage based on the Samba service, or POSIX-compatible filesystem options continue to be supported, the preferred way to deploy oCIS is the way of Earth Observing
17%
25.09.2023
cluster doesn't yet have Prometheus and Grafana available, follow the instructions online [3] to install the Prometheus Operator on your cluster and check that you can access both the Prometheus and Grafana
17%
17.04.2017
with the physical adapters on the host. The physical adapters are connected to physical switches, routers, and firewalls. Special features include quality of service (QoS), HNV, and others.
Clearly, managing virtual
17%
04.10.2018
tools for testing web applications. The scanners can be found in the Web Application Analysis menu. The Burp Suite and w3af tools are considered the best of their kind.
Burp Suite, which helps you
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27.09.2021
Simple Storage Service (S3)/Swift interface to the object storage.
Because of its tie-ins to the further history of Ceph, I also need to mention GlusterFS, developed in 2005. The plan was an open source
17%
17.06.2017
Software services packaged as containers finally reached the remotest corners of IT about three years ago. Docker [1], rkt [2], LXC [3], and the like see themselves confronted with technologies
17%
06.10.2022
in the usual way with Postman or Graph Explorer [2], which let you explore the API structure. A more detailed description by Microsoft of the cross-tenant access settings API is available online [3].
All
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20.05.2014
an image.
The Goal: PaaS
With its portfolio of functions, Docker integrates very well with the current cloud computing and everything-as-a-service-dominated IT scene. Ultimately, Docker's goal is clear
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03.08.2023
and storing metrics is an inherent part of virtually any Azure resource. The data can always be collected, stored, and analyzed directly in Azure Monitor with the Metrics Explorer for platform as a service (PaaS
17%
28.11.2023
is minimal.
Even with ShardingSphere-Proxy, which according to the developers is significantly slower than the JDBC option, the performance overhead is now 25 percent less (Figure 3). This performance may
