10%
13.02.2017
, because public clouds assign public IPs dynamically from a predefined pool and authority over the domains lies with the provider. However, the provider is hardly going to allow its customers direct access
10%
03.04.2024
if it doesn't work, you must make it work. I'm sure the most often quoted reason for implementing Agile in infrastructure projects is, "Hey, it works at Company X, so we're going to do it." I'll bet if you ask
10%
02.02.2021
, but it is running faster than a single core. Now try eight cores (more is better, right?). This runs in just under two minutes (117 seconds) or about 65 percent of the single core time. What?
Now it's time to go
10%
04.12.2024
can operate with the copies not always being up to date. The advantage of this method lies in its simplicity and uncomplicated setup. The disadvantage is that the entire dataset is transferred with each
10%
04.12.2024
storing a single entry in etcd for each storage entity and its ID. Kubernetes components wanting to manipulate the data stored there iterate over the list of existing entries and choose the entry they need
10%
03.04.2019
threads. Only the omp parallel
directive can do that (more on this in a future article).
Each thread in the team has its own data, although cooperating threads can share data (termed “shared” data). Some
10%
19.05.2016
money in the development of two projects in the medium term, given that Ceph can replace GlusterFS and offer more functionality. Ceph is basically staking its universal claim in the software
10%
23.01.2012
to bridging that gap painlessly.
Cygwin is a powerful set of Linux and Unix (*nix) tools, but its real power comes from being able to turn your heterogeneous environment into a more homogeneous one. Although
10%
22.12.2017
is your big data? It's all around you. You're collecting it. You're backing it up. You're probably ignoring it. Don't ignore it. Ignoring it could cost your company a lot of money and its reputation. If you
10%
30.01.2020
related to the core functions of your OS – are of higher priority than others.
SchedViz makes use of a basic feature of the Linux kernel: the ability to capture data in real time about what each core
