Please join us, we are online - https://www.youtube.com/watch?v=H79XFntaRxU
#event #java #performance
#event #java #performance
YouTube
Performance Battle 4: Micronaut Reactive vs Micronaut Reactive as Native
Speaker: Vadzim Kavalkou, Chief Software Engineer in Advance Software Engineering Department at EPAM Systems.
We will talk about "a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications."β¦
We will talk about "a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications."β¦
π2
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
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
π2π₯°1
NEW EVENT!
Join us at βExploring Mobile Solution Architectureβ.
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
Join us at βExploring Mobile Solution Architectureβ.
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
β€2
Real Case from Xu Hao how to use ChatGPT to:
β Create meaningful architecture design and recommendations.
β Share these steps and provided recommendations with the rest of the team.
https://martinfowler.com/articles/2023-chatgpt-xu-hao.html
#ChatGPT #Case #GPTcase
β Create meaningful architecture design and recommendations.
β Share these steps and provided recommendations with the rest of the team.
https://martinfowler.com/articles/2023-chatgpt-xu-hao.html
#ChatGPT #Case #GPTcase
π₯3
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
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
π3
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
There is a list of playgrounds for different technologies and stacks.
https://jvns.ca/blog/2023/04/17/a-list-of-programming-playgrounds/
#playgrounds
π5
Amazon Prime saved reduced costs up to 90% by ditching Serverless and rearchitecting to Monolith.
βMoving our service to a monolith reduced our infrastructure cost by over 90%. It also increased our scaling capabilities. Today, weβre able to handle thousands of streams and we still have capacity to scale the service even further.β
https://www.primevideotech.com/video-streaming/scaling-up-the-prime-video-audio-video-monitoring-service-and-reducing-costs-by-90
#amazon #serverless #monolith
βMoving our service to a monolith reduced our infrastructure cost by over 90%. It also increased our scaling capabilities. Today, weβre able to handle thousands of streams and we still have capacity to scale the service even further.β
https://www.primevideotech.com/video-streaming/scaling-up-the-prime-video-audio-video-monitoring-service-and-reducing-costs-by-90
#amazon #serverless #monolith
π1
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
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:
β How Khan Academy rebuilt their Python 2 monolith into a services oriented backend written in Go;
β How engineers used Side-by-Side testing to ensure the new backend was functioning properly;
β How Etsy built their bidding system for Etsy Ads;
β and more
https://blog.quastor.org/p/khan-academy-rewrote-backend
#Go, #python, #microservices and rethinking the #infrastructure
β How Khan Academy rebuilt their Python 2 monolith into a services oriented backend written in Go;
β How engineers used Side-by-Side testing to ensure the new backend was functioning properly;
β How Etsy built their bidding system for Etsy Ads;
β and more
https://blog.quastor.org/p/khan-academy-rewrote-backend
#Go, #python, #microservices and rethinking the #infrastructure
π3
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
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/?fbclid=IwAR0eV1C7bPYQeEX0BbmqR_8zAFTgf4S5q-bEXoG3ZK7fmxgMICj-QqW6ZWM
#chatgpt #ai #llm
π3
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
report: https://ispace-inc.com/news-en/?p=4691
video: https://youtu.be/2JlUnOAiMm4
π1
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
https://uxdesign.cc/how-i-used-midjourney-to-design-a-brand-identity-394cf9ddaeed
#ai #midjourney
π3
You may have heard a joke that the Internet is a series of tubes. In this blog post, weβre 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
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
https://github.com/vaibkumr/prompt-optimizer
#ai #chatgpt #python
π1
Are you striving to build efficient, scalable, and resilient software systems?
As a software developer or senior developer, you must have come across the term βmicroservices architecture.β This revolutionary approach to software development has been adopted by many successful tech giants, such as Netflix, Amazon, and Spotify. But what exactly are microservices, and why should you care?
https://levelup.gitconnected.com/12-microservices-pattern-i-wish-i-knew-before-the-system-design-interview-5c35919f16a2?gi=45e79dd3e044
#patterns #architecture-fundamentals #microservices #event-sourcing
As a software developer or senior developer, you must have come across the term βmicroservices architecture.β This revolutionary approach to software development has been adopted by many successful tech giants, such as Netflix, Amazon, and Spotify. But what exactly are microservices, and why should you care?
https://levelup.gitconnected.com/12-microservices-pattern-i-wish-i-knew-before-the-system-design-interview-5c35919f16a2?gi=45e79dd3e044
#patterns #architecture-fundamentals #microservices #event-sourcing
π1