Some interesting developments on things I’m interested in :

Found out Nginx and Caddy are the same

I have used caddy to help me in hosting vaultwarden password manager in my home server(you can check out the blog here) because vaultwarden apparently accepts https only. Meanwhile, I was also seeing posts about https and cert generation mentioning nginx, and then found out Caddy and nginx are the same, just in diff setups, viz. one in small homelabs/monolithic sstems and the latter being used in production env and enterprises. The more you know.

Tailscale finally adding subdomain cert generation

Tailscale has rolled out a beta which introduced a new feature called Tailscale Services, which FINALLY allows us to generate certificates for subdomains of our self hosted services and also need https for them. Generally we need to use a third party service like nginx or caddy to generate certificates using Let’s Encrypt for https compatibility for our services and it was COMPULSORY for us own a domain to direct these certs. But Tailscale has the feature of generating cert for the tailnet <name>.ts.net BUT FRUSTRATINGLY, only 1 service can use it. Now, we can generate multiple certs, one for each subdomain of our tailnet, eg. immich.<name>.ts.net. Good to hear :D

Using a Data Structure in the Wild..!

I had the opportunity of using a data structure I’ve known since a long time, the HASHMAP, for an actually useful work instead of just in leetcode/interviews.

I had a project in mind to sort through all the contacts in my phone, which include the union of contacts in my google accounts(yes, multiple), my sim and my device. For context I have an android phone running Android 16 and in the default contacts app, there is NO way to show duplicates of contacts, atleast not reliably. I don’t know what the reason is, but my bet is on the difference that numbers stored in google, in my sim and on device store numbers in different formats, namely xxx-xxx-xxxx, xxx xxx xxxx and xxxxxxxxxx. Contacts app was only showing me duplicates in the first format, but not the others and I needed to clean around 2000 contacts.

So, I exported the contacts in .vcf format, sent it to my laptop and opened it in vscode to see the contents. I noticed that it was just a text file with this format for each contact :

BEGIN:VCARD
VERSION:2.1
N:;Lorem Ipsum;;;
FN:Lorem Ipsum
TEL;CELL:+91[redacted]
PHOTO;ENCODING=BASE64;JPEG:/9j/4AAQSkZJRgABAQAAAQABAAD/4gHYSUNDX1BST0ZJTEU
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 goKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgr/wAARCA
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 ol0P/Vt8FOL+S3Xsynu4H1eI0Lr8Zr//2Q==

END:VCARD

So I wrote a c++ script which extracts the name and the phone number with regex and normalises the phone number to only 10 digits. Then, to find duplicates I made a hashmap with the phone number as the key and the name as the value(made it a vector), and printed all phone numbers with >1 name. Worked like a charm ! You can find my (very sloppy) c++ script here.

Catch you guys in the next one.