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🗞️Daily Reading List – April 2, 2024 (#289)

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Daily Reading List – April 2, 2024 (#289)

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2024-04-03 - Richard Seroter (from Richard Seroter Blog)

Today's links look at which JavaScript web framework is best, how to correctly review a pull request, and what you should know about vector search.

Today’s reading list has some depth to it, with many long articles. But, there’s a lot of wisdom in the items you’ll find here. Pick a couple to dig into. [article] What’s the best JavaScript framework? “Best” is relative, but all these frameworks aren’t the same. I liked this evaluation and comparison. Read this for an understanding of the different approaches these frameworks take, and maybe take a new one for a spin. [article] Leading a Company That Can Thrive in a Chaotic World. Most of you probably don’t feel like you’re in a predictable sector or environment. It’s wild out there. Here’s an article on ways you can set up a team/company to handle it better. [blog] How to correctly review a pull request. This is helpful advice for engineering teams that want to be better at reviewing pull requests for code changes. [docs] Build and deploy generative AI and machine learning models in an enterprise. Read through this for a rich MLOps reference blueprint. It includes links to a repo with Terraform scripts and notebooks. [blog] On Developer Marketing. Very good take from Lee. Marketing to developers is different than the efforts towards other personas. [article] Uncovering the Seams in Mainframes for Incremental Modernisation: Internal Interfaces. This article keeps getting updated with more content. The latest addition looks at internal data interfaces that you can shift from the mainframe. [article] Vector Search: What You Need to Know Before Getting Started. We don’t all need to become experts on vector databases, but it’s useful to know some fundamentals. [article] Survival Strategies for the Noisy Neighbor Apocalypse. Here’s a detailed look at detecting and mitigating a noisy neighbor in a multi-tenant environment at Netflix. [article] How Should We Define ‘Open’ AI? Does it matter if AI models claiming to be “open source AI” don’t meet the definition? Many won’t care. It’s a blurry space at the moment. ## Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: Subscribe

[Blogs] 🌎 https://seroter.com/2024/04/02/daily-reading-list-april-2-2024-289/

🗿article.to_s

------------------------------
Title: Daily Reading List – April 2, 2024 (#289)
Summary: Today's links look at which JavaScript web framework is best, how to correctly review a pull request, and what you should know about vector search.

[content]
Today’s reading list has some depth to it, with many long articles. But, there’s a lot of wisdom in the items you’ll find here. Pick a couple to dig into.



[article] What’s the best JavaScript framework? “Best” is relative, but all these frameworks aren’t the same. I liked this evaluation and comparison. Read this for an understanding of the different approaches these frameworks take, and maybe take a new one for a spin.



[article] Leading a Company That Can Thrive in a Chaotic World. Most of you probably don’t feel like you’re in a predictable sector or environment. It’s wild out there. Here’s an article on ways you can set up a team/company to handle it better.



[blog] How to correctly review a pull request. This is helpful advice for engineering teams that want to be better at reviewing pull requests for code changes.



[docs] Build and deploy generative AI and machine learning models in an enterprise. Read through this for a rich MLOps reference blueprint. It includes links to a repo with Terraform scripts and notebooks.



[blog] On Developer Marketing. Very good take from Lee. Marketing to developers is different than the efforts towards other personas.



[article] Uncovering the Seams in Mainframes for Incremental Modernisation: Internal Interfaces. This article keeps getting updated with more content. The latest addition looks at internal data interfaces that you can shift from the mainframe.



[article] Vector Search: What You Need to Know Before Getting Started. We don’t all need to become experts on vector databases, but it’s useful to know some fundamentals.



[article] Survival Strategies for the Noisy Neighbor Apocalypse. Here’s a detailed look at detecting and mitigating a noisy neighbor in a multi-tenant environment at Netflix.



[article] How Should We Define ‘Open’ AI? Does it matter if AI models claiming to be “open source AI” don’t meet the definition? Many won’t care. It’s a blurry space at the moment.



##



Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below:



		
			
				
					
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[/content]

Author: Richard Seroter
PublishedDate: 2024-04-03
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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Today’s reading list has some depth to it, with many long articles. But, there’s a lot of wisdom in the items you’ll find here. Pick a couple to dig into.

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[article] What’s the best JavaScript framework? “Best” is relative, but all these frameworks aren’t the same. I liked this evaluation and comparison. Read this for an understanding of the different approaches these frameworks take, and maybe take a new one for a spin.

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[article] Leading a Company That Can Thrive in a Chaotic World. Most of you probably don’t feel like you’re in a predictable sector or environment. It’s wild out there. Here’s an article on ways you can set up a team/company to handle it better.

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[blog] How to correctly review a pull request. This is helpful advice for engineering teams that want to be better at reviewing pull requests for code changes.

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[docs] Build and deploy generative AI and machine learning models in an enterprise. Read through this for a rich MLOps reference blueprint. It includes links to a repo with Terraform scripts and notebooks.

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[blog] On Developer Marketing. Very good take from Lee. Marketing to developers is different than the efforts towards other personas.

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[article] Uncovering the Seams in Mainframes for Incremental Modernisation: Internal Interfaces. This article keeps getting updated with more content. The latest addition looks at internal data interfaces that you can shift from the mainframe.

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[article] Vector Search: What You Need to Know Before Getting Started. We don’t all need to become experts on vector databases, but it’s useful to know some fundamentals.

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[article] Survival Strategies for the Noisy Neighbor Apocalypse. Here’s a detailed look at detecting and mitigating a noisy neighbor in a multi-tenant environment at Netflix.

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[article] How Should We Define ‘Open’ AI? Does it matter if AI models claiming to be “open source AI” don’t meet the definition? Many won’t care. It’s a blurry space at the moment.

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