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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

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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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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. And of course, our work includes handling the many types of devices in the field that don’t have proper support of the standards. cbcs’), and lead the way by providing reference bitstreams.

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The Three Types of Performance Testing

CSS Wizardry

The short answers are, of course ‘all the time’ and ‘everyone’, but this mutual disownership is a common reason why performance often gets overlooked. Of course, it is impossible to fix (or even find) every performance issue during the development phase. Who: Engineers. When: During development. How: DevTools, browsers, local tooling.

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60 seconds to self-upgrading observability on Google Kubernetes Engine

Dynatrace

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. The data had to be painstakingly stitched together over the course of a few weeks, across each layer of our stack.

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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. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0

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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. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).