AWS Infrastructure Microservices Off-The-Shelf 
Netflix Tech
MARCH 7, 2024
Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.
Perficient
DECEMBER 2, 2022
It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.
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Stacks on Stacks
JANUARY 8, 2019
With serverless, you can lean on off-the-shelf cloud services resources for your application architecture, focus on business logic and application needs, while (mostly) ignoring infrastructure capacity and management. As the CEO of Stackery, I have had a unique, inside view of serverless since we launched in 2016. I’ll take it.
Hu's Place - HitachiVantara
JANUARY 10, 2019
Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms. In this post I will take a deeper dive into one of the key enablers for Digital Transformation, the REST API.
Modus Create
JUNE 20, 2023
Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. You can think of them as microservices but for UI. Here’s what’s capturing the attention of global enterprises in 2023.
O'Reilly Media - Ideas
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. The new category is often called MLOps. However, the concept is quite abstract. What does a modern technology stack for streamlined ML processes look like?
Netflix Tech
DECEMBER 3, 2019
About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.
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