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hadiaz

Re: on Saturday February 17, 2024 @10:33AM (#39410358)
watch a demo of my generating a billing report by asking for it: https://youtu.be/6KUtdyW9Yrg

Show HN: After 3 months, I'm finally getting some interest from B2B customers

https://www.heycloud.ai

We launched HeyCloud about 3 months ago, and almost immediately got our first beta customers.However, most customers are individual developers/devops building small cloud infras. 60% of them use it for learning purposes (mainly learning AWS for now).I always thought HeyCloud is more suitable for B2B customers, with limited devops resources and actual complexity in their infra. This is where I...

( Read More... | 2 comments | 2 points | on HN )
Re: on Thursday February 01, 2024 @06:15AM (#39214766)
rich discussion here
Re: on Saturday December 23, 2023 @12:05PM (#38745755)
Beta is out, try it for free
Re:Great analysis of the foundation model landscape on Saturday November 04, 2023 @01:24PM (#38143154)
My takeaways: 1. buy NVDA, TSLA, GOOGL, MSFT and META. At least one will breakout big for sure 2. do not train your own model, that's a race to the bottom 3. play in the vertical AI game
Re:HeyCLI just launched – Command line in natural language on Monday February 13, 2023 @09:24AM (#34773716)
You don't need to retain commands in your head anymore. Just type what you want in natural language using the word hey <what_you_want_here> Eg, hey make a dockerfile for this dir using the ubuntu image
Re: on Monday January 16, 2023 @05:35PM (#34406385)
No need to retain commands in your head anymore, use bash, docker, kubernetes, aws etc from your terminal in plain english
Re: on Thursday January 12, 2023 @12:06PM (#34356832)
You are deploying or coding - you face an issue Instead of google+stackoverflow for 30min, juste paste the error message and get the best answer from the web
Re: on Saturday December 03, 2022 @01:02PM (#33845647)
You don't need to retain Terminal commands in your head. Now you can work with docker, kubernetes, AWS, GCP, Terraform ... and many more command lines with natural language (English) instructions.
Re: on Saturday December 03, 2022 @04:32AM (#33842114)
AI model based on GPT3, trained to answer your technical troubleshooting questions, better and faster than Google+Stackoverflow https://concisefix.co/
Re:Stackoverflow user? this will blow your mind on Friday December 02, 2022 @11:29AM (#33832667)
On it. Sorry about that
Re:Stackoverflow user? this will blow your mind on Friday December 02, 2022 @06:38AM (#33829223)
AI model based on GPT3, trained to answer your technical troubleshooting questions, better and faster than Google+Stackoverflow http://concisefix.co/
You don't need to retain Terminal commands in your head. Now you work with docker, kubernetes, AWS, GCP, Terraform ... and many more command lines with natural language (English) instructions. Join https://www.heycli.com
Re:Plain English – terminal command line on Tuesday November 29, 2022 @08:12AM (#33787145)
You don't need to retain Terminal commands in your head. Now you work with docker, kubernetes, AWS, GCP, Terraform ... and many more command lines with natural language (English) instructions. Join https://www.heycli.com
Re:Terminal command line in Natural Language on Wednesday November 23, 2022 @04:37AM (#33717041)
You don't need to retain Terminal commands in your head. Now you can work with docker, kubernetes, AWS, GCP, Terraform ... and many more command lines with natural language (English) instructions.
Re:Universal Log (Auto)Parsing on Saturday January 29, 2022 @01:26PM (#30128901)
TL;DR Logs are valuable information describing runtime events. However, because of the sheer amount of logs generated by large online services, it is impossible to get any insights from them in real time using traditional observability tools. This is why at PacketAI, we built a real-time log analysis engine based on text mining and machine learning algorithms. Since logs are mainly unstructured textual data, the first step towards automated analysis of logs is the “representation phase”, where raw log lines are transformed into structured data ready for downstream tasks such as anomaly detection. In this article, we present our design for Log2template, a universal log parsing engine that is agnostic to log formats. Log2template at its core, is based on word embedding using neural networks.
Re: on Saturday January 29, 2022 @01:17PM (#30128821)
Visual summary of the 20M log lines your stack generated yesterday?

Sure,

- Select sources of data - Take a quick look on logs but don’t try to read them all. You can’t - Click “Patterns”. Somebody grouped your logs for you, by pattern - Errors and warnings ? filter in - What the heck is this “internal server error”?! zoom in to see the problematic logs - Done

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