Golang

In the ancient times, when I was coding mostly in Pascal – size did matter. People were using RAR to shave couple kilobytes from archives, and having 2mb executable was better then having 4mb executable file. In that beautiful time we used  UPX – I wasn’t aware that this project is still alive, and works nicely with binaries create bo go lang.

Ultimate Packer for eXecutables
Copyright (C) 1996 - 2017
UPX 3.94        Markus Oberhumer, Laszlo Molnar & John Reiser   May 12th 2017

File size Ratio Format Name
-------------------- ------ ----------- -----------
11512772 -> 3547792 30.82% macho/amd64 main

Packed 1 file.

People quite often asking me about technology stack, and where to go with next big project. The answer isn’t simple – it depends. Usually, we have couple components which are critical for the whole system. If we are talking about a web-based solution or any API we have to decide about DATABASE, then we have STORAGE, moving on – some BACKEND service language.

Time-based One-time Password Algorithm (TOTP) is an algorithm that computes a  one-time password  from a  shared secret key  and the current time. The most popular implementation of this solution is Google Authenticator.

This application that implements  TOTP   security tokens . Usually is branded as “ Two-step verification {.mw-redirect}” (or 2-Step Verification). Authenticator provides a six- to eight-digit  one-time password  which users must provide in addition to their username and password to log into various services or other sites.

Google Cloud storage  it’s Google answer to [Amazon S3][1] service. As long one of them is very popular 😉 Second wasn’t so successful amongst developers due to quite complex processes around service. Amazon is super simple, and developer friendly – Google… well not so easy. So the questions – why you may consider using GS instead of well documented, and super easy S3. Not many people realise but Google Cloud Storage is actually cheaper . The other reason to use Google Storage is having different provider as a backup solution. Anyway – let’s show how easy is to use GS with existing S3 libraries.

I’m the guy who like to test. Benchmark is my… middle name. You can find dozens articles about speed one or other solution. I mean MongoDB and MySQL . I tried MongoDB couple times, and each time I wasn’t  moved by it speed. Got project coming in, when I have to deal with large amount of concurrent connection. It’s not very big, but bigger then casual MySQL load.

So… how did I test – very dump way. Got 2 tables, one around 11k records, second one close to 200k record. Not much. Fields were indexed in both MySQL and MongoDB. And then i run benchmarks. First one had string fields, second one numeric.