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Thang Chung thangchung

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thangchung /
Created Dec 6, 2021 — forked from cecilemuller/
How to create an HTTPS certificate for localhost domains

How to create an HTTPS certificate for localhost domains

This focuses on generating the certificates for loading local virtual hosts hosted on your computer, for development only.

Do not use self-signed certificates in production ! For online certificates, use Let's Encrypt instead (tutorial).

thangchung / ca_post
Last active Nov 8, 2021
clean-architecture snippets
View ca_post
async (SubmitOrder.Command model, ISender sender) => await sender.Send(model));
thangchung / 2021-11
Last active Nov 2, 2021
My vscode extensions
View 2021-11
code --install-extension Adaptilab.grok
code --install-extension adpyke.codesnap
code --install-extension adrianwilczynski.namespace
code --install-extension alefragnani.Bookmarks
code --install-extension alexdima.copy-relative-path
code --install-extension antfu.slidev
code --install-extension be5invis.vscode-custom-css
code --install-extension bungcip.better-toml
code --install-extension cake-build.cake-vscode
code --install-extension christian-kohler.npm-intellisense
thangchung /
Created Sep 17, 2021 — forked from toricls/
Using Lima to run containers with containerd and nerdctl (without Docker Desktop) on M1 Macs

Used M1 Mac mini 2020 with macOS Big Sur Version 11.5.2.

1. Install Patched QEMU

According to the GitHub issue comment in Lima's GitHub repository, Lima requires a patched QEMU on M1 Macs.

Note that the followings are customized steps by @toricls based on the original steps and the script. Be sure to check the original files when you try it on your own.

Install QEMU on Silicon based Apple Macs


From You're not actually building microservices

So, are you building microservices? Take a look at a few of these symptoms, and decide for yourself:

  • A change to one microservice often requires changes to other microservices
  • Deploying one microservice requires other microservices to be deployed at the same time
  • Your microservices are overly chatty
  • The same developers work across a large number of microservices
  • Many of your microservices share a datastore
  • Your microservices share a lot of the same code or models
thangchung / Event-stream based GraphQL
Created Sep 1, 2021 — forked from OlegIlyenko/Event-stream based GraphQL
Event-stream based GraphQL subscriptions for real-time updates
View Event-stream based GraphQL

In this gist I would like to describe an idea for GraphQL subscriptions. It was inspired by conversations about subscriptions in the GraphQL slack channel and different GH issues, like #89 and #411.

Conceptual Model

At the moment GraphQL allows 2 types of queries:

  • query
  • mutation

Reference implementation also adds the third type: subscription. It does not have any semantics yet, so here I would like to propose one possible semantics interpretation and the reasoning behind it.

  • JAVA : 1-4 MB
  • C++ : 1 MB
  • Python : 64 KB
  • Golang : 2-4 KB
  • Node.js : Single threaded and event driven

Some of the Redis best practices content has moved

This content from this markdown file has moved a new, happier home where it can serve more people. Please check it out :

NOTE: Client specific guidance listed below is still valid and should still be considered. I will update this document once all content has been moved.

View CachePipelineBehavior.cs
public class CachePipelineBehavior<TRequest, TResponse> : IPipelineBehavior<TRequest, TResponse>
private readonly IDistributedCache cache;
private readonly ILogger<SGUKAspNetCore> logger;
public CachePipelineBehavior(
IDistributedCache cache,
ILogger<SGUKAspNetCore> logger)
Ensure.Argument.NotNull(cache, nameof(cache));
thangchung / latency.txt
Created Sep 29, 2020 — forked from jboner/latency.txt
Latency Numbers Every Programmer Should Know
View latency.txt
Latency Comparison Numbers (~2012)
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD