Karn Wong

There’s a consensus that generally, c is very fast, and python is very slow. But if we are talking about go and rust, you would find that rust is slightly faster than go. So from fastest to slowest: c, rust, go, python. But what if you have go, python and rust calling c function? There would be more overhead, but how much? Calling C from Go, Python and Rust Stats ...

After the rise of ChatGPT in 2023, these days most people are familiar with the concept of LLM - Large Language Model. If you are LLM users, things are looking bright because there are gazillion options for you to choose from. But if you are on the other side - creating and deploying LLMs, there are certain things you need to think about. For one, your implementation team would have languages/frameworks they specialize in, so that’s already a constraint you have to work with when designing a solution. ...

If we are talking about IaC, Terraform would be on the list. It made IaC popular and help a lot of companies maintain infrastructure at scale. Especially when you have multiple sets of infrastructures to maintain, Terraform can help you reduce the setup time tremendously via using Terraform Modules. Think of this like a function / class in programming languages. I’ve been cranking out a lot of Terraform, a lot of trials and errors along the way. Picking other people’s brains by reading a lot of blog posts, trawl community forums to see how other people use Terraform and what are their challenges. Below are summarizations of what I’ve experienced, in addition to what the general sentiments are. ...

It’s hard to escape AWS, seeing how prevalent it is in global internet infrastructure. Chances are, most websites you visit are hosted on AWS. As a software engineer, you probably encounter AWS at certain point in your career, and while getting AWS IAM credentials to work locally during development (via aws-cli) would suffice, sometimes in production land, you might need some adjustments. Having worked with AWS extensively, here are what I found to be useful to keep in mind while working with AWS IAM credentials. ...

Correction 2024-09-21: after using multi-stage build, Node image size dropped from 1.1GB to 130MB. The first programming language I achieved proficiency was Python, so for the longest time I’ve been using it to do most stuff. Last year I picked up Go, and I had a blast with it. This month I picked up Rust for data/ml works, and so far I was very impressed. It got me thinking - it’s been said multiple times is Python is slower than compiled languages, and Node is very easy to use but uses a lot of memory. Since I can code in multiple languages, why not do a simple API benchmark? So here’s the results. ...