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Sergey Yelin kpy3

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stolen / timetop.erl
Created January 18, 2018 16:08
top processes by scheduled time
-module(timetop).
-export([top/2]).
top(Duration, Count) ->
OldPrio = erlang:process_flag(priority, high),
Result = scheduled_time_top(Duration),
erlang:process_flag(priority, OldPrio),
lists:sublist(Result, Count).
@danisfermi
danisfermi / setupdb.md
Created December 15, 2017 23:00
Setup gdb on Mac OS Sierra/High Sierra

Here are the steps to installing and setting up GDB on Mac OS Sierra/High Sierra. Run brew install gdb. On starting gdb, you will get the following error:

Unable to find Mach task port for process-id 2133: (os/kern) failure (0x5).
 (please check gdb is codesigned - see taskgated(8))

To fix this error, follow the following steps:

@rondy
rondy / Effective_Engineer.md
Last active November 17, 2024 23:12

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?

@acolyer
acolyer / service-checklist.md
Last active July 10, 2024 05:13
Internet Scale Services Checklist

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

Basic tenets

  • Does the design expect failures to happen regularly and handle them gracefully?
  • Have we kept things as simple as possible?
@debasishg
debasishg / gist:8172796
Last active November 11, 2024 07:10
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@spicycode
spicycode / tmux.conf
Created September 20, 2011 16:43
The best and greatest tmux.conf ever
# 0 is too far from ` ;)
set -g base-index 1
# Automatically set window title
set-window-option -g automatic-rename on
set-option -g set-titles on
#set -g default-terminal screen-256color
set -g status-keys vi
set -g history-limit 10000