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@benhoyt
benhoyt / flattenjson.go
Created July 7, 2020 05:06
Little Go tool to flatten JSON input
// Flatten JSON input
//
// Example:
//
// $ echo '{"user":"Ben","ints":[true,false,null],"sub":{"x":1,"y":2}}' | go run flattenjson.go
// _.ints[0] = true
// _.ints[1] = false
// _.ints[2] = null
// _.sub.x = 1
// _.sub.y = 2
@enricofoltran
enricofoltran / main.go
Last active April 1, 2024 00:17
A simple golang web server with basic logging, tracing, health check, graceful shutdown and zero dependencies
package main
import (
"context"
"flag"
"fmt"
"log"
"net/http"
"os"
"os/signal"
@rushilgupta
rushilgupta / GoConcurrency.md
Last active May 14, 2024 06:30
Concurrency in golang and a mini Load-balancer

INTRO

Concurrency is a domain I have wanted to explore for a long time because the locks and the race conditions have always intimidated me. I recall somebody suggesting concurrency patterns in golang because they said "you share the data and not the variables".

Amused by that, I searched for "concurrency in golang" and bumped into this awesome slide by Rob Pike: https://talks.golang.org/2012/waza.slide#1 which does a great job of explaining channels, concurrency patterns and a mini-architecture of load-balancer (also explains the above one-liner).

Let's dig in:

Goroutines

@EdOverflow
EdOverflow / github_bugbountyhunting.md
Last active May 22, 2024 09:01
My tips for finding security issues in GitHub projects.

GitHub for Bug Bounty Hunters

GitHub repositories can disclose all sorts of potentially valuable information for bug bounty hunters. The targets do not always have to be open source for there to be issues. Organization members and their open source projects can sometimes accidentally expose information that could be used against the target company. in this article I will give you a brief overview that should help you get started targeting GitHub repositories for vulnerabilities and for general recon.

Mass Cloning

You can just do your research on github.com, but I would suggest cloning all the target's repositories so that you can run your tests locally. I would highly recommend @mazen160's GitHubCloner. Just run the script and you should be good to go.

$ python githubcloner.py --org organization -o /tmp/output
@kyledcline
kyledcline / postgres-best-practices.md
Last active October 26, 2023 06:10
Postgres Best Practices

PSQL CLI Client

Psql is a fully-fledged CLI client for Postgres, but most people are unaware of its many advanced features.

~/.psqlrc can be edited to persist any behavior or configuration settings you want between psql sessions. It behaves just like ~/.bashrc or ~/.vimrc, sourced at psql launch. See More out of psql for some interesting configurations.

If you have a long query to write and rewrite, you can use \e to edit your query in an editor.

Use \watch at the end of a query in order to automatically re-run the query every few seconds - great for monitoring while making changes elsewhere in your application architecture.

@jessfraz
jessfraz / proposal.md
Created February 3, 2017 00:09
High-Level Security Profile Generator

High-Level Security Profile Generator

(originally from my proposal on moby/moby#17142 (comment) but generic)

The profile would generate artificats of an apparmor profile and seccomp filters.

Obviously doesn't have to be toml since that's super hipster :p

Assumptions

  • no one is going to sit and write out all the syscalls/capabilities their app needs
  • automatic profiling would be super cool but like aa-genprof it is never

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.


Effective Engineer - Notes

What's an Effective Engineer?

@shagunsodhani
shagunsodhani / KeyValueMemNN.md
Last active April 30, 2023 04:13
Summary of paper "Key-Value Memory Networks for Directly Reading Documents"

Key-Value Memory Networks for Directly Reading Documents

Introduction

  • Knowledge Bases (KBs) are effective tools for Question Answering (QA) but are often too restrictive (due to fixed schema) and too sparse (due to limitations of Information Extraction (IE) systems).
  • The paper proposes Key-Value Memory Networks, a neural network architecture based on Memory Networks that can leverage both KBs and raw data for QA.
  • The paper also introduces MOVIEQA, a new QA dataset that can be answered by a perfect KB, by Wikipedia pages and by an imperfect KB obtained using IE techniques thereby allowing a comparison between systems using any of the three sources.
  • Link to the paper.

Related Work

@nathan-osman
nathan-osman / win32.go
Last active May 14, 2024 14:18
Simple Windows GUI application written in Go
package main
import (
"log"
"syscall"
"unsafe"
)
var (
kernel32 = syscall.NewLazyDLL("kernel32.dll")
package main
import (
"database/sql"
"gopkg.in/gorp.v1"
"log"
"strconv"
"github.com/gin-gonic/gin"
_ "github.com/go-sql-driver/mysql"