jvns

Ruby and Python profilers

CPU profilers

Python

• cProfile
• https://github.com/bdarnell/plop (blog post)
• https://github.com/rkern/line_profiler
• https://github.com/uber/pyflame (blog post)

pfrazee

Errmojis

Users have a hard time dealing with errors.

To solve that, put these emojis prominently in your error messages. Then when the user says:

I dont know what happened but I saw a christmas tree and then everything stopped working

You'll know it was an internal error!

solso

Human Web Overview

Konark Modi, Alex Catarineu, Philipp Claßen and Josep M. Pujol at Cliqz *München, October 2016

[edited on October 2017]*

[edited on September 2019 to fix broken links and add reference to HPN paper]*

We recommend to read the article on Cliqz Tech blog, the content is more up to date there. Not removing this gist for historical reasons. December 2019.

ngm

;; put this file in ~/.emacs.d/private/org-brain
;; then add org-brain into your dotspacemacs-configuration-layers in .spacemacs

(defconst org-brain-packages
  '(org-brain)
)

;; see https://github.com/Kungsgeten/org-brain#setup-and-requirements
(defun org-brain/init-org-brain ()
  (use-package org-brain

mmellison

import asyncio
from concurrent import futures
import functools
import inspect
import threading

from grpc import _server

def _loop_mgr(loop: asyncio.AbstractEventLoop):

jvehent

#!/usr/bin/env bash

# configuration
VPC=vpc-24e97b4d
IGW=igw-9f59e9f6
MAINRT=rtb-ae92f4c7
REGION=us-east-2
SSHKEY=jvehent-cloudservicesawsdev-us-east-2-20170513

fail() {

reborg

Rich Already Answered That!

A list of commonly asked questions, design decisions, reasons why Clojure is the way it is as they were answered directly by Rich (even when from many years ago, those answers are pretty much valid today!). Feel free to point friends and colleagues here next time they ask (again). Answers are pasted verbatim (I've made small adjustments for readibility, but never changed a sentence) from mailing lists, articles, chats.

How to use:

• The link in the table of content jumps at the copy of the answer on this page.
• The link on the answer itself points back at the original post.

Table of Content

bookshelfdave

ap-northeast-1;ap-northeast-1a;c1.medium
ap-northeast-1;ap-northeast-1a;c1.xlarge
ap-northeast-1;ap-northeast-1a;c3.2xlarge
ap-northeast-1;ap-northeast-1a;c3.4xlarge
ap-northeast-1;ap-northeast-1a;c3.8xlarge
ap-northeast-1;ap-northeast-1a;c3.large
ap-northeast-1;ap-northeast-1a;c3.xlarge
ap-northeast-1;ap-northeast-1a;c4.2xlarge
ap-northeast-1;ap-northeast-1a;c4.4xlarge
ap-northeast-1;ap-northeast-1a;c4.8xlarge

dusenberrymw

Spark Tips & Tricks

Misc. Tips & Tricks

• If values are integers in [0, 255], Parquet will automatically compress to use 1 byte unsigned integers, thus decreasing the size of saved DataFrame by a factor of 8.
• Partition DataFrames to have evenly-distributed, ~128MB partition sizes (empirical finding). Always err on the higher side w.r.t. number of partitions.
• Pay particular attention to the number of partitions when using flatMap, especially if the following operation will result in high memory usage. The flatMap op usually results in a DataFrame with a [much] larger number of rows, yet the number of partitions will remain the same. Thus, if a subsequent op causes a large expansion of memory usage (i.e. converting a DataFrame of indices to a DataFrame of large Vectors), the memory usage per partition may become too high. In this case, it is beneficial to repartition the output of flatMap to a number of partitions that will safely allow for appropriate partition memory sizes, based upon the

MrHohn

Using DNS Horizontal Autoscaling feature in Kubernetes

This doc shows how to use the DNS Horizontal Autoscaling featrure in a Kubernetes cluster.

• Before you begin
• Enable DNS horizontal autoscaling feature
• Tuning autoscaling parameters
• Disable DNS horizontal autoscaling feature
• Understanding how DNS Horizontal Autoscaling works
• Future Works