Remove Big Data Remove Programming Remove Systems Remove Training
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What is IT automation?

Dynatrace

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. AI that is based on machine learning needs to be trained. This requires significant data engineering efforts, as well as work to build machine-learning models.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

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Python at Netflix

The Netflix TechBlog

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. The configuration of these devices is controlled by several other systems including source of truth, application of configurations to devices, and back up.

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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications.

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The next generation of developer productivity

O'Reilly

We found that the biggest struggle for developers working with new tools is training (34%), and another 12% said the biggest struggle is “ease of use.” Finally, we wanted to know specifically about the effect of GitHub Copilot, ChatGPT, and other AI-based programming tools. Together, that’s almost half of all respondents (46%).

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

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Expanding the Cloud: Introducing the AWS Asia Pacific (Seoul) Region

All Things Distributed

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more. Many of these enterprises are assisted by our extensive partner ecosystem in Korea.

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