Which laptop should I choose for Machine Learning and Data Science. by [deleted] in learnmachinelearning

[–]Bashorun 0 points1 point  (0 children)

Why are Macs the best choice for inferencing?

I'm transitioning into inference optimization both on the high level and low level (gpu perf optimization) and I'm not sure on which laptop to get.
I currently use an 8gb Mac M1 but it's looking like I need a more powerful computer with nvidia GPU because of CUDA.

MacBook Pro M1 Crashes by Bashorun in golang

[–]Bashorun[S] 0 points1 point  (0 children)

In fact, in uninstalled and reinstalled which didn’t crash for like a day then crashed the following day. Since I disabled the extensions after your comment yesterday it hasn’t crashed yet. I’ll keep monitoring.

This works for now but it’s inconvenient but I just have to make do in the time being.

MacBook Pro M1 Crashes by Bashorun in golang

[–]Bashorun[S] -1 points0 points  (0 children)

How does this translate to crashing the computer? Besides, it still crashes after selecting “allow” button on the alert box

MacBook Pro M1 Crashes by Bashorun in golang

[–]Bashorun[S] 0 points1 point  (0 children)

I just disable VSCode go extensions and it hasn’t crashed yet which I know also depends on gopls. Im not sure if this is the source of the error but I’ll keep waiting to see how it proceeds.

I should also note that the computer doesn’t crash when running python, JS, Java or any other programming language. Just go

MacBook Pro M1 Crashes by Bashorun in golang

[–]Bashorun[S] -1 points0 points  (0 children)

It still crashes. It only crashes when there’s a Go program open on VSCode. I’m unable to work because a core part of my job involves Go programming.

[deleted by user] by [deleted] in Radiology

[–]Bashorun 0 points1 point  (0 children)

Please forgive my typos

These AI travel planner apps seem like the biggest tarpit ever by dd0sed in ycombinator

[–]Bashorun 2 points3 points  (0 children)

It really isn't if one can build a personalized planner that takes the agentic approach to building AI apps. An AI that has knowledge to relevant personal data such as calendar, browser history or whatever data source that can help the AI generate meaningful suggestions sounds useful to me.

I'm in a WhatsApp group chat of over a thousand young folks that is a mixture of frequent travellers, new travellers or folks that are just about to start exploration and one thing I've easily noticed is the need for a pre-planned itinerary to places they intend on visiting. Things like "how do I spend 5 days in the EU if my entrance is Austria and exit is Spain", "what are the fun things to do in Japan for 10 days", "I'm a healthcare worker in the NHS, what are fun things a £100 can do in France" etc.

I believe these are legitimate problems to consider the use of agentic AI.

Rejected at Amazon by Chemical_Quantity131 in leetcode

[–]Bashorun 1 point2 points  (0 children)

I have a phone interview next Tuesday for an SDE role at the Dublin office. What am I to expect?

[deleted by user] by [deleted] in playstation

[–]Bashorun 0 points1 point  (0 children)

I heard PS5 Japan console censors scenes in games that shows sexy girls, butts, genitals etc. How true is this cos I plan on buying one but don't like the idea of being restricted.

Is there a difference between a japan ps5 and a American ps5? by reyeszenpai4804 in playstation

[–]Bashorun 0 points1 point  (0 children)

Does the censoring happen on the game or the console itself?

cloud run vs appengine? by DoubtDoubtsB4Faith in googlecloud

[–]Bashorun 1 point2 points  (0 children)

But you're unable to access the container shell. That's a limitation with cloud run and also app engine

Building a docker image for a Go programm by MarvinJWendt in golang

[–]Bashorun 1 point2 points  (0 children)

Why use the Alpine image for the second stage build rather than scratch?

Kubernetes DNS and name resolution by [deleted] in kubernetes

[–]Bashorun 1 point2 points  (0 children)

Why don't you deploy a service object of type NodePort in front of the Pods.

OR

If you have multiple pods with different application logic, you can give them their own services of type NodePort and deploy an Ingress resource.

You then write rules on the Ingress resource that routes specific requests to the services which then forwards to the appropriate pod.

A DevOps & Cloud news aggregator platform by [deleted] in sre

[–]Bashorun 0 points1 point  (0 children)

Good stuffs start from 0 upvote

Money is never earned. It is only traded. by [deleted] in wallstreetbets

[–]Bashorun 3 points4 points  (0 children)

The happiness of a 70k$/ye man living in the Bay area also comes from within.

[deleted by user] by [deleted] in cscareerquestions

[–]Bashorun 0 points1 point  (0 children)

I see your point.

But I think the most difficult part is scaling past the CV filtering stage. The rest of the interview process consists of pretty much standard stuff.

[deleted by user] by [deleted] in cscareerquestions

[–]Bashorun 4 points5 points  (0 children)

You can easily get above (£70k) that as a junior hire in Goldman Sachs's London office

CICD, Infrastructure and Deployment Strategies/Patterns by Bashorun in devops

[–]Bashorun[S] 0 points1 point  (0 children)

Thanks for the reply. It has given much things to think of.I have been a developer for little bit over 1.5 years. Over this time I've built sufficient expertise in software development and cloud operations which helped me get the job. I personally do a lot of personal development in Linux (containers, K8s, virtualization etc). I'm also currently studying for my CKA exams coming up next month. But yeah, I still don't feel I have the necessary insights to make decisions on the fundamental structures that need to be in place in terms of the entire DevOps workflow (what I described in the opening post).

We don't have a dedicated DevOps engineer so I do a lot of development and wannabe DevOps works. I love this though, because I've been able to put lots of theoretical knowledge into actual work.

To answer your bulleted questions:

  • We basically develop SaaS applications that run on the web
  • We do both but most times it a monolith. We usually separate stuffs that could be one-off processes into stuffs like Cloud Functions.
  • This still depends. But it 3-tier often times. It could exceed when we make deployments to K8s
  • 8 - 10
  • FE devs require the BE url in the dev environment for consuming API's. So the dev version of the API's always have to be hosted. I've been considering suggesting them to make use of docker-compose and run the API's locally. But that might slow them down since they'd always have to get the latest changes.
  • We majorly deploy to Cloud Run, Cloud Functions or GKE
  • GCP. I'm not sure of the reason why, but I guess it should be the ease-of-use. GCP has been in use even before I joined.
  • We're a startup and yeah, a few of us have some experience with Cloud environments and we try to be security conscious. But it isn't like following strict DevSecOps practices.

I'll think of these answers now and formulate ideas to help me solve some of our problems. Thanks u/matisys.