security 4-steps-transforming-developers-security-people 
Dynatrace
MARCH 9, 2023
As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. “In fact, this is one of the major things that [hold] people back from really adopting DevOps principles.”
Smashing Magazine
DECEMBER 6, 2021
All these phrases have become so common that many people don’t see any problems with them. On the contrary, URLs attached to concise self-explanatory phrases inform people about the destination and are more convenient targets for clicking or tapping. For developers who know enough JavaScript to be dangerous. Slava Shestopalov.
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O'Reilly
MARCH 23, 2023
While most of the foundation models people are talking about are LLMs, foundation models aren’t limited to language: a generative art model like Stable Diffusion incorporates the ability to process language, but the ability to generate images belongs to an entirely different branch of AI. and 4 Large language models developed by OpenAI.
Dynatrace
MAY 9, 2022
But, as resources move off premises, IT teams often lack visibility into system performance and security issues. Causal AI automatically identifies performance problems, security issues, and more. Build the business case, start migration planning, and define the operating model and desired operating and security controls.
The Netflix TechBlog
OCTOBER 18, 2022
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.
The Netflix TechBlog
NOVEMBER 20, 2023
Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. The changes from the source tables might affect the transformed result in the target table in various ways.
The Netflix TechBlog
FEBRUARY 9, 2022
DAG) for the purpose of transforming data using some business logic. task, an atomic unit of data transformation logic, a non-separable execution block in the workflow chain. An example of the workflow deployment with the rendering step is shown below: stranger-data$ dataflow project deploy. Dataflow ?—?Netflix namespace ?—?unique
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