Codeberry Club – Telegram
🚢A useful article about security in containers.

You need to worry not only about how secure your code but how secure and up-to-date the container where you deploy you code as well!

https://www.darkreading.com/dr-tech/87-of-container-images-in-production-have-critical-or-high-severity-vulnerabilities

#security #containers
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While we are preparing to the next Performance Battle, you can watch the previous once.

1⃣Performance Battle 1: Spring Web vs Spring Web as Native
2⃣Performance Battle 2: Spring Reactive and Spring Reactive as Native
3⃣Performance Battle 3: Quarkus Reactive vs Quarkus Reactive as Native

On April 19 we will talk about Micronaut Reactive vs Micronaut Reactive as Native. It’s time to register if you haven’t already: https://epa.ms/2jxXU9
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Pandas v2.0 now with Apach Arrows support!

This gives way better performance to already excellent pandas which makes it better stand up against rivals such as Polars.

https://pandas.pydata.org/docs/dev/whatsnew/v2.0.0.html

#python #pandas
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NEW EVENT!

Join us at “Exploring Mobile Solution Architecture”.

Date: May 10, 17:00 (UTC +03:00)
Speaker: Artem Bagritsevich (Chief Software Engineer II, EPAM)

What this topic is about?
We will delve into various approaches and mobile development frameworks including Capacitor, ReactNative, Native Script, Unity, PWA, and more.

By the end of the presentation, you will have a better understanding of which mobile solution architecture approach is best suited for your business needs.

Registration is free: https://epa.ms/Exploring-Mobile-Solution-Architecture
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Have a good Friday!
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Real Case from Xu Hao how to use ChatGPT to:

Create meaningful architecture design and recommendations.
Share these steps and provided recommendations with the rest of the team.

https://martinfowler.com/articles/2023-chatgpt-xu-hao.html

#ChatGPT #Case #GPTcase
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Hugging Face and ServiceNow open sourced their model which is a direct competitor to GitHub CoPilot from Microsoft!

The StarCoder models are 15.5B parameter models trained on 80+ programming languages from The Stack (v1.2), with opt-out requests excluded. The model uses Multi Query Attention, a context window of 8192 tokens, and was trained using the Fill-in-the-Middle objective on 1 trillion tokens.

https://huggingface.co/bigcode/starcoder

#GitHub_CoPilot #starcoder
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We enjoyed testing nginx config!)

There is a list of playgrounds for different technologies and stacks.

https://jvns.ca/blog/2023/04/17/a-list-of-programming-playgrounds/

#playgrounds
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Amazon Prime saved reduced costs up to 90% by ditching Serverless and rearchitecting to Monolith.

“Moving our service to a monolith reduced our infrastructure cost by over 90%. It also increased our scaling capabilities. Today, we’re able to handle thousands of streams and we still have capacity to scale the service even further.”

https://www.primevideotech.com/video-streaming/scaling-up-the-prime-video-audio-video-monitoring-service-and-reducing-costs-by-90

#amazon #serverless #monolith
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True?🌝
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Leaked Google documents says Large Language Models are catching up too quickly.

The text below is a very recent leaked document, which was shared by an anonymous individual on a public Discord server who has granted permission for its republication. It originates from a researcher within Google.

https://www.semianalysis.com/p/google-we-have-no-moat-and-neither

#Large_Language_Models
In this article is talked about:

How Khan Academy rebuilt their Python 2 monolith into a services oriented backend written in Go;
How engineers used Side-by-Side testing to ensure the new backend was functioning properly;
How Etsy built their bidding system for Etsy Ads;
and more

https://blog.quastor.org/p/khan-academy-rewrote-backend

#Go, #python, #microservices and rethinking the #infrastructure
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Chat-GPT how it works inside (what how other LLM models learn and answer on questions). This article was written a couple of month ago, but well-refined and quite detailed.

https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/?fbclid=IwAR0eV1C7bPYQeEX0BbmqR_8zAFTgf4S5q-bEXoG3ZK7fmxgMICj-QqW6ZWM

#chatgpt #ai #llm
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ispace Announces Results of the "HAKUTO-R" Mission 1 Lunar Landing

report: https://ispace-inc.com/news-en/?p=4691
video: https://youtu.be/2JlUnOAiMm4
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The article is about how we can continue to provide irreplaceable value as designers having Midjourney and other technologies on the market.

https://uxdesign.cc/how-i-used-midjourney-to-design-a-brand-identity-394cf9ddaeed

#ai #midjourney
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You may have heard a joke that the Internet is a series of tubes. In this blog post, we’re going to talk about how we get a cool, refreshing stream of Airbnb.com bytes into your browser as quickly as possible using HTTP Streaming.

https://medium.com/airbnb-engineering/improving-performance-with-http-streaming-ba9e72c66408

#Fetching_application_faster, #first_render_time, #early_flush
This an interesting project to optimize the cost of queries to AI.

https://github.com/vaibkumr/prompt-optimizer

#ai #chatgpt #python
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