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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer. And according to Statista , $2.4

C++ 187
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Install private Synthetic monitoring locations on Linux faster with the new automated workflow

Dynatrace

As part of the instructions, you can also make sure that your machine meets the system and hardware requirements for setting up a private Synthetic location. And, of course, these Linux distributions will all use the new installation workflow. In the near future, you can also expect support for: Ubuntu 18.

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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

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Packaging award-winning shows with award-winning technology

The Netflix TechBlog

Hardware video decoders need to know in advance the resolution and bit depth of the video streams to allocate their decoding buffers. The Media Systems team at Netflix actively contributes to the development, the maintenance, and the adoption of ISOBMFF. cbcs’), and lead the way by providing reference bitstreams. We’re hiring!

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An analysis of performance evolution of Linux’s core operations

The Morning Paper

Most Linux users cannot afford the amount of resource large enterprises like Google put into custom Linux performance tuning… For Google of course, there’s an economy of scale that makes all that effort worth it. A micro-benchmark suite, LEBench was then built around tee system calls responsible for most of the time spent in the kernel.

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A case for managed and model-less inference serving

The Morning Paper

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

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CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment

The Morning Paper

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. And this all has to work for whole-system executions, not just the C-language portion of user processes.

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