#Devops

Jon Stevens-Hall

JonStevensHall

The developing body of science and thinking around Complex Adaptive Systems is incredibly fascinating, and feels to me to be the big missing element of aligning established enterprise technology bases

Raf Rasenberg

rafrasenberg

Infrastructure as Code (IaC) One of the buzz words you might be hearing lately in the tech and DevOps world. But what is it exactly? IaC, enables teams to

Christopher Peters 😷

statwonk

I think Taguchi methods would greatly benefit the #tech industry.The methods describe using loss functions to measure results in $ terms. That really helps calibrate bets. https://en.m.wikipedia.org/wiki/Taguchi_methods Genichi Taguchi showed

Ian Coldwater 📦💥

IanColdwater

I am absolutely thrilled to announce that I will be keynoting #DIDevOps, the first virtual conference to be held in Animal Crossing! The creativity going into this conference is amazing,

Lukáš Lukáč

Web3Coach

Investing is hard because it requires of you to:- be patient (do nothing and wait)- have confidence (trust yours initial decision to buy a specific asset) A DevOps friend just

Mike Privette

mikepsecuritee

Continuing on the theme of advancement, I couldn't find any good resources on how to prep for a management role in #cybersecurity so I decided to make one! In

Josh Duffney

joshduffney

How I went from aimless to an SRE at StackOverflow in less than a year.Thread I fell into complacency and the clutches of mediocrity began their encroachment. I casted blame

Chip Huyen

chipro

Some resources that I’ve found really helpful to understand machine learning in production.1. Engineering starts with infrastructure. @vtuulos gave a great overview of the relationship between data science and infrastructure

Maximilian d'Amore

max_damore

2 DevOps companies: $PD & $FROG. Both IPO'd at a high offering price and lost ~50% market cap as they attempted to build a base. In 2020, $PD found support,

#LangaaLife Christian

CALelicious

I just sent an email to my boss, who was asking for an estimate on when my team could have a certain feature deployed to production. This is an extremely

Simon Wardley ❤️🇺🇦

swardley

X : DevOps will be the new legacy?Me : Yep.X : Agile doesn't work everywhere?Me : YepX : Don't Spotify your organisational structure, adopt basic principles instead?Me : YepX :

Kat Marchán 😷

zkat__

sigh. I'm honestly pretty happy I don't write js anymore. The landscape is... not great, right now. JS should be doing so much better. Node.js is going to have its

Chip Huyen

chipro

When talking to people who haven’t deployed ML models, I keep hearing a lot of misperceptions about ML models in production. Here are a few of them.(1/6) 1. Deploying ML

LeadTimeNull 🤖㊙

LeadNull

Thank you, to the dissident shills who told me @IOHK_Charles is a con man and #Cardano is a #scam.When I first heard of $ADA and got excited by the ambitious

Claire Ryan

aetherlev

And listen, people: you don’t know how fucking genius this is.I will bet a month’s salary that some poor database admin is now staring at a dataset of over a

following the dopamine

randileeharper

i'm sharing the set questions i often use to interview people for devops/automation/sysadmin jobs. i don't ask trivia. i don't give homework. anything i need to know about someone, i