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@abtrout
abtrout / pass.md
Created July 8, 2014 14:51
Using password-store with git repository synching

Password-store keeps your passwords (or any other sensitive information) saved in GnuPG encrypted files organized in ~/.password-store. For more information about GPG, consult the GNU Privacy Handbook.

Getting started

To get started, install pass and generate a keypair.

$ brew install pass
$ gpg --gen-key
$ gpg --list-keys
@denji
denji / nginx-tuning.md
Last active May 3, 2024 03:57
NGINX tuning for best performance

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

@lsd
lsd / IdeaVim OS X Key Repeat.markdown
Last active May 3, 2024 07:22
Enable key-repeat for ALL applications or just for IdeaVim/specific JetBrains apps

Upgrading to Lion or Yosemite and WebStorm 9, I noticed key repeat was
turned off for the IdeaVim plugin h j k l keys.

System-wide key repeat

defaults write -g ApplePressAndHoldEnabled -bool false in a terminal will enable
key repeat for every app. This can alternatively be found in the accessibility settings in OS X' preferences.

App specific key repeat

@sivel
sivel / better-ssh-authorized-keys-management.md
Last active May 3, 2024 14:20
Better SSH Authorized Keys Management

Better SSH Authorized Keys Management

A seemingly common problem that people encounter is how to handle all of your users authorized_keys file.

People struggle over management, ensuring that users only have specific keys in the authorized_keys file or even a method for expiring keys. A centralized key management system could help provide all of this functionality with a little scripting.

One piece of functionality overlooked in OpenSSH is the AuthorizedKeysCommand configuration keyword. This configuration allows you to specify a command that will run during login to retrieve a users public key file from a remote source and perform validation just as if the authorized_keys file was local.

Here is an example directory structure for a set of users with SSH public keys that can be shared out via a web server:

@veekaybee
veekaybee / normcore-llm.md
Last active May 9, 2024 07:47
Normcore LLM Reads

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

@vasanthk
vasanthk / System Design.md
Last active May 9, 2024 16:45
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@plentz
plentz / nginx.conf
Last active May 10, 2024 03:20
Best nginx configuration for improved security(and performance)
# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

@jboner
jboner / latency.txt
Last active May 10, 2024 14:27
Latency Numbers Every Programmer Should Know
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