Simon Taranto srt32

We want PlanetScale to be the best place to work. But every company says that, and very few deliver. Managers have a role in creating an amazing work experience, but things go awry when the wrong dynamic creeps in.

We have all seen those managers who collect people as “resources” or who control information as a way to gain “power.” In these cultures, people who “can’t” end up leading the charge. This is management mediocrity.

What will make us different? At PlanetScale, we won’t tolerate management mediocrity. We are building a culture where politics get you nowhere and impact gets you far. Managers are here to support people who get things done. They are as accountable to their team as their team is accountable to them.

We evaluate managers on the wellbeing and output of their team, how skillfully they collaborate with and influence others, and how inclusively and transparently they work.

You can expect your manager to:

Perceive a better version of you and support you in getting there

Moved to Shopify/graphql-design-tutorial

These are the Kickstarter Engineering and Data role definitions for both teams.

Technical	Data	People
Junior Software Engineer
Software Engineer	Data Analyst
Senior Software Engineer	Data Scientist	Engineering Manager
Staff Engineer	VP of Data	Engineering Director
Principal Engineer		CTO

Golang Workers / Job Queue

A running example of the code from:

This gist creates a working example from blog post, and a alternate example using simple worker pool.

TLDR: if you want simple and controlled concurrency use a worker pool.

The Ultimate Unit Testing Cheat-sheet

Sinon Chai
Chai
Sinon

	# usage: cat ~/Downloads/log_foo-bar-baz.jsonl \| ruby honeybadger_parser.rb

	require 'json'

	data = ARGF.read
	lines = data.split("\n")

	grouped = lines.group_by do \|line\|
	JSON.parse(line)["request"]["context"]["project_id"]
	end

	package main

	import (
	"bytes"
	"compress/gzip"
	"fmt"
	"io"
	"log"
	)

	package main

	const MaxLength = 1 << 20

	var (
	addr = flag.String("listen", ":8000", "listen for requests")
	numprocs = flag.Int("p", runtime.NumCPU(), "number of workers to start")
	maxqueue = flag.Int("q", runtime.NumCPU()*2, "largest queue size")

	jobs chan Job