We are continuing our Performance Battle!
Join us on April 19 at "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".
Micronaut says that it's faster and less expensive due to the fact of lower resource consumption and better serialization during the build time. Trust but verify. So, Vadzim is going to verify it and compare with Quarkus and Spring.
We will be glad to see you among the participants on April 19: https://epa.ms/2jxXU9
Join us on April 19 at "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".
Micronaut says that it's faster and less expensive due to the fact of lower resource consumption and better serialization during the build time. Trust but verify. So, Vadzim is going to verify it and compare with Quarkus and Spring.
We will be glad to see you among the participants on April 19: https://epa.ms/2jxXU9
π1
π’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
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
β€1π1
While we are preparing to the next Performance Battle, you can watch the previous once.
1β£Performance Battle 1: Spring Web vs Spring Web as Native
2β£Performance Battle 2: Spring Reactive and Spring Reactive as Native
3β£Performance Battle 3: Quarkus Reactive vs Quarkus Reactive as Native
On April 19 we will talk about Micronaut Reactive vs Micronaut Reactive as Native. Itβs time to register if you havenβt already: https://epa.ms/2jxXU9
1β£Performance Battle 1: Spring Web vs Spring Web as Native
2β£Performance Battle 2: Spring Reactive and Spring Reactive as Native
3β£Performance Battle 3: Quarkus Reactive vs Quarkus Reactive as Native
On April 19 we will talk about Micronaut Reactive vs Micronaut Reactive as Native. Itβs time to register if you havenβt already: https://epa.ms/2jxXU9
π1
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