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🗞️Daily Reading List – April 5, 2024 (#292)

🏷️ Daily Reading List

🗿Semantically Similar Articles (by :title_embedding)

Daily Reading List – April 5, 2024 (#292)

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2024-04-05 - Richard Seroter (from Richard Seroter Blog)

Today's links look at queuing up your app deployments, how enterprises are spending their budgets on AI, and why Ruby on Rails isn't dead.

It was a quiet end to a bonkers run-up to Google Cloud Next, which starts on Monday in Las Vegas. Most everything is done and ready to roll. I’m flying out tomorrow and have rehearsals on Sunday. I’ll plan on posting my reading list each day, but I’ll warn you ahead of time that it’ll probably be fairly Google heavy! [article] Uncovering the Seams in Mainframes for Incremental Modernisation: Batch Pipeline Step Handoff. The article keeps getting extended, and this latest addition looks at “seams” in the mainframe app around data processing. [blog] Calling Gemma with Ollama, TestContainers, and LangChain4j. Local development with LLMs has gotten much easier. If you’re building training labs or just experimenting, you might like this pattern of running Gemma in a testcontainer. [blog] 2024 Monki Gras Recap, Day 1. “Prompting craft” was the theme of this event, and Rachel’s recap does a great job pulling out some high notes to learn from. [blog] Queuing Deployments with Workflows and Cloud Deploy. You might deploy right away, or you might choose to queue them for specific periods. This post shows one way to schedule deployments for later. [aricle] Platform Engineering: More Teams Now Running 3 or More IDPs. Why? Are these narrowly-scoped IDPs? One internal developer platform per department? Such curious data! [blog] Survey Says: AI and Data Buoy Technology Spend Planning. Very interesting data in this survey. Download to flip through it to see where enterprise buyers are prioritizing their attention. [article] 3 reasons why you need to pay attention to Google Cloud Next 2024. I’ll humbly request that you take this writer’s advice. It’s going to be a great week. [article] Ruby on Rails Is Not Dead and May Even Be AI Panacea for Devs. You don’t hear a ton about Ruby in this JavaScript and Python obsessed landscape, but it’s still fairly popular. [blog] Introducing Konfig: GitLab and Google Cloud preconfigured for startups and enterprises. The folks at Real Kinetic built something they’re calling “platform as code” to establish core infrastructure for cloud teams. ## Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: Subscribe

🏷️ Daily Reading List
[Blogs] 🌎 https://seroter.com/2024/04/05/daily-reading-list-april-5-2024-292/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>4413, :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] title_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4413, :poly_field=>"title", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] summary_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4413, :poly_field=>"summary", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] As per bug https://github.com/palladius/gemini-news-crawler/issues/4 we can state this article belongs to titile/summary version: v3 (very few articles updated on 9oct24)

🗿article.to_s 

------------------------------
Title: Daily Reading List – April 5, 2024 (#292)
Summary: Today's links look at queuing up your app deployments, how enterprises are spending their budgets on AI, and why Ruby on Rails isn't dead.

[content]
It was a quiet end to a bonkers run-up to Google Cloud Next, which starts on Monday in Las Vegas. Most everything is done and ready to roll. I’m flying out tomorrow and have rehearsals on Sunday. I’ll plan on posting my reading list each day, but I’ll warn you ahead of time that it’ll probably be fairly Google heavy!



[article] Uncovering the Seams in Mainframes for Incremental Modernisation: Batch Pipeline Step Handoff. The article keeps getting extended, and this latest addition looks at “seams” in the mainframe app around data processing.



[blog] Calling Gemma with Ollama, TestContainers, and LangChain4j. Local development with LLMs has gotten much easier. If you’re building training labs or just experimenting, you might like this pattern of running Gemma in a testcontainer.



[blog] 2024 Monki Gras Recap, Day 1. “Prompting craft” was the theme of this event, and Rachel’s recap does a great job pulling out some high notes to learn from.



[blog] Queuing Deployments with Workflows and Cloud Deploy. You might deploy right away, or you might choose to queue them for specific periods. This post shows one way to schedule deployments for later.



[aricle] Platform Engineering: More Teams Now Running 3 or More IDPs. Why? Are these narrowly-scoped IDPs? One internal developer platform per department? Such curious data!



[blog] Survey Says: AI and Data Buoy Technology Spend Planning. Very interesting data in this survey. Download to flip through it to see where enterprise buyers are prioritizing their attention.



[article] 3 reasons why you need to pay attention to Google Cloud Next 2024. I’ll humbly request that you take this writer’s advice. It’s going to be a great week.



[article] Ruby on Rails Is Not Dead and May Even Be AI Panacea for Devs. You don’t hear a ton about Ruby in this JavaScript and Python obsessed landscape, but it’s still fairly popular.



[blog] Introducing Konfig: GitLab and Google Cloud preconfigured for startups and enterprises. The folks at Real Kinetic built something they’re calling “platform as code” to establish core infrastructure for cloud teams. 



##



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[/content]

Author: Richard Seroter
PublishedDate: 2024-04-05
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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It was a quiet end to a bonkers run-up to Google Cloud Next, which starts on Monday in Las Vegas. Most everything is done and ready to roll. I’m flying out tomorrow and have rehearsals on Sunday. I’ll plan on posting my reading list each day, but I’ll warn you ahead of time that it’ll probably be fairly Google heavy!

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[article] Uncovering the Seams in Mainframes for Incremental Modernisation: Batch Pipeline Step Handoff. The article keeps getting extended, and this latest addition looks at “seams” in the mainframe app around data processing.

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[blog] Calling Gemma with Ollama, TestContainers, and LangChain4j. Local development with LLMs has gotten much easier. If you’re building training labs or just experimenting, you might like this pattern of running Gemma in a testcontainer.

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[blog] 2024 Monki Gras Recap, Day 1. “Prompting craft” was the theme of this event, and Rachel’s recap does a great job pulling out some high notes to learn from.

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[blog] Queuing Deployments with Workflows and Cloud Deploy. You might deploy right away, or you might choose to queue them for specific periods. This post shows one way to schedule deployments for later.

\n\n\n\n

[aricle] Platform Engineering: More Teams Now Running 3 or More IDPs. Why? Are these narrowly-scoped IDPs? One internal developer platform per department? Such curious data!

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[blog] Survey Says: AI and Data Buoy Technology Spend Planning. Very interesting data in this survey. Download to flip through it to see where enterprise buyers are prioritizing their attention.

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[article] 3 reasons why you need to pay attention to Google Cloud Next 2024. I’ll humbly request that you take this writer’s advice. It’s going to be a great week.

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[article] Ruby on Rails Is Not Dead and May Even Be AI Panacea for Devs. You don’t hear a ton about Ruby in this JavaScript and Python obsessed landscape, but it’s still fairly popular.

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[blog] Introducing Konfig: GitLab and Google Cloud preconfigured for startups and enterprises. The folks at Real Kinetic built something they’re calling “platform as code” to establish core infrastructure for cloud teams.

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