(co) evolution

Conway's Law: 'Organizations which design systems are constrained to produce designs which are copies of the communication structures of those organizations"

The physicist Hermann von Helmholtz on being successful at problem-solving

Some companies that are more than 100 years old: Boeing: 106 years, Safeway: 107 years, IBM: 110 years, UPS: 115 years, Honeywell, Kellogg’s: 116 years, Harley-Davidson: 119 years, Ford: 119 years, JCPenney: 119 years, Target: 120 years, Walgreens: 121 years, Hershey’s: 128 years, Coca-Cola: 130 years, Nintendo: 133 years, Nokia: 157 years, Macy’s: 164 years, P&G: 185 years,

The real definition of legacy software: runs and makes money #architectelevator

Documenting my personal journeys ...

1. MANUFACTURING / LIGHTING: ACUITY BRANDS - 130 years, SMART Spaces & More Things

⬇️: A Thread inside a company experimenting, learning & changing, an instance of organic influence from public domain & open source. The cognitive load distributed & context specific startegies is how we should think about acceleration of 10+ years and 100s of man years of work involved driving changes across organizations.

[12/16 10:27 AM] Quinn, Henry

Good (but long) writeup on "why Temporal" from their Head of Developer Experience, Shawn Wang (aka Swyx). I've been following this guy for a while as he's been very vocal about learning in public and helped push a lot of folks (including myself) to tackle fun projects to learn new technologies while teaching others. I was very excited to see he joined Temporal! https://www.swyx.io/why-temporal/

[12/16 11:40 AM] Voils, Steven M

swyx has, presumably by happenstance, happened to show up on a number of podcasts i've been monitoring. i agree that he's got a very refreshing take on how to learn, how to grow, and he's got a great story backing up his philosophy given his transition from finance to software. Quinn, Henry - this is actually a really great article (i'm perusing it) that i hadn't run into before. i think it'd be a great thing to share on the blast i did in general, just to whet people's appetites for what's motivating us to do this kind of exploration in the first place

Shared Context: Business, Product & Tech

• Construction projects/Customer Funnel: https://www.constructconnect.com/

• Products

  • "Agile" - Commerce Platform (Behind SSO) -> Projects, Quotes, Orders, Claims, Returns, Distributor, Analytics,
  • Atrius - Buildings, Inside is where most people are most of the time

• Design System

• Decision Records

  • Tech Radar
  • C4 Model

• Code

  • Style Guides
  • Tech Docs
  • Tests

• Developer Experience Build/Buy

  • Zeroheight Bit Storybook ReadMe
  • Figma Adobe Illustrator Adobe Photoshop Adobe Lightroom QGIS AutoCAD Miro
  • Postman Striim Aqua Datadog
  • Azure - IAM, Compute & Databases Google Cloud - BigQuery

• Open Source

  • Cloud Relay API
  • Artillery, Playwright
  • Backstage / SaaS: https://roadie.io/ Temporal Argo CD

Home Page -> Search / Explore: Decision Records, Radar, Registry, ... Create Components: APIs, Docs, Tests, ... Manage: Deployments, Insights, ...

2. RETAIL / E-commerce: WALMART , Stores/Grocery & E-commerce

Mar 29, 2022: On this day in 1918: Sam Walton was born He opened the first Walmart at the age of 44. Two decades later, he was the richest person in America.

-- https://twitter.com/JonErlichman/status/1508779843948879876

59 years Timeline

journey: Walmart Labs > Improving Stores & Grocery Online > https://one.walmart.com/, Business + Product + Tech > Walmart+, Ads, Health etc. > Infuse more Data -> New Identity Walmart Global Tech

Responding To Pressure From Amazon, Walmart Invests Billions In E-Commerce Revamp

Unify/Grow People, Process, Systems & eCommerce/Stores

Products & Services: Mobile / Web / Retail (Curbside Pickup / Delivery)

A great begining story here, setting aside 1 engineer on experimentation/tinkering with new tech stack (Kafka/Cassandra/Elastic) eventually resulted in a Unified Catalog system for Stores & ecommerce (+Martketplace) shows change is possible even in complex situations like Fortune #1 with lot at stake.

Storm in Retail Context: Catalog data processing using Kafka, Storm & Microservices https://dev.storm.apache.narkive.com/yrL14eQs/recording-storm-kafka-meetup-on-april-20th-2017

Apache Kafka for Real-Time Retail https://www.confluent.io/blog/apache-kafka-item-setup/

Digital transformation at Walmart and the real-time benifits with using Kafka such as checking inventory, fufillment, security and fraud. https://www.youtube.com/watch?v=9V-dcwORE7g

The Walmart team has been running #cassandra at scale for a long time and are real pros at operations. Great article to learn from. https://twitter.com/PatrickMcFadin/status/1490373516394655745