Programming Throwdown

Databases are key to almost any project, large or small.  Most database systems in the cloud are designed for heavy use and the costs can get expensive quickly, but database-as-a-service is a rapidly growing area, where many databases can share the same hardware for a much reduced rate, or even for free!  Sam Lambert, CEO of PlanetScale, joins Jason and Patrick to discuss database-as-a-service.

00:01:41 Introductions
00:02:34 Sam’s Github learning lesson
00:07:08 The day after
00:10:57 Getting started with databases
00:14:21 Schema change difficulties
00:19:47 Database transactions
00:31:15 Why data recovery matters
00:38:35 Planetscale
00:49:24 Greetings from the past
01:02:01 How Jason discovered Planetscale
01:06:53 Branching
01:14:00 The vision for Planetscale
01:18:12 The rationale behind Planetscale’s work setup
01:24:29 Careers at Planetscale
01:28:06 Amp It Up
01:33:10 Farewells

Resources mentioned in this episode:
Links:

• Sam Lambert:
  • Linkedin: https://www.linkedin.com/in/isamlambert/
• PlanetScale:
  • Website: https://planetscale.com/
  • Twitter: https://twitter.com/planetscaledata
  • Linkedin: https://www.linkedin.com/company/planetscale/
  • Github: https://github.com/planetscale
  • Careers: https://planetscale.com/careers
• Amp It Up (Amazon):
  • Paperback: https://www.amazon.com/Amp-Unlocking-Hypergrowth-Expectations-Intensity/dp/1119836115
  • Audiobook: https://www.amazon.com/Amp-Hypergrowth-Expectations-Increasing-Elevating/dp/B09QBRBKFB/

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Machine Learning Engineer is one of the fastest growing professions on the planet.  Liran Hason, co-founder and CEO of Aporia, joins us to discuss this new field and how folks can learn the skills and gain the experience needed to become an ML Engineer!

00:00:59 Introductions

00:01:44 How Liran got started making websites

00:07:03 College advice for getting involved in real-world experience

00:12:51 Jumping into the unknown

00:15:22 ML engineering

00:20:50 The missing part in data science development

00:29:16 How to build skills in the ML space

00:37:01 A horror story

00:41:34 Model loading questions

00:47:36 Must-have skills in an ML resume

00:50:41 Deciding about data science

00:59:08 Rust

01:06:27 How Aporia contributes to the data science space

01:14:26 Working at Aporia

01:16:53 Farewells

Resources mentioned in this episode:

Links:

• Liran Hason:
  • Linkedin: https://www.linkedin.com/in/hasuni/
• Aporia:
  • Website: https://www.aporia.com/
  • Twitter: https://twitter.com/aporiaai
  • Linkedin: https://www.linkedin.com/company/aporiaai/
  • Github: https://github.com/aporia-ai
• The Mom Test (Amazon):
  • Paperback: https://www.amazon.com/Mom-Test-customers-business-everyone/dp/1492180742
  • Audiobook: https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F

References:

• Shadow Mode: https://christophergs.com/machine%20learning/2019/03/30/deploying-machine-learning-applications-in-shadow-mode/
• Blue-green deployment: https://en.wikipedia.org/wiki/Blue-green_deployment
• Coursera ML Specialization (Stanford): https://www.coursera.org/specializations/machine-learning-introduction
• Auto-retraining: https://neptune.ai/blog/retraining-model-during-deployment-continuous-training-continuous-testing

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Patrick and I are always stressing the importance of code reviews and collaboration when developing.  On Freund, co-founder & CEO at Wilco, is super familiar with how code review processes can go well, or become a hinderance. In today’s episode with us, he shares his unique perspective on code reviews and maintaining high code quality!

00:00:56 Introductions

00:01:38 On’s first exposure to tech
00:06:04 Game development adventures
00:11:12 The difference between university and real-world experiences
00:17:43 A context switch question
00:24:41 Points of frustration
00:30:53 Build versus Buy complications
00:32:06 Code reviews
00:39:58 Quality of code
00:45:12 Using callouts for the right reasons
00:49:57 Code reviews can be too late sometimes
00:52:11 Using social interaction as pre-review orientation
00:57:03 How not to use code reviews
01:01:35 Where Wilco helps programmers learn
01:09:11 Working in Wilco
01:11:49 Farewells

Resources mentioned in this episode:

Links:

• On Freund:
  • Linkedin: https://www.linkedin.com/in/onfreund
• Wilco:
  • Website: https://www.trywilco.com/
  • Twitter: https://twitter.com/trywilco
    
    
  • Linkedin: https://www.linkedin.com/company/trywilco

 
References:

• Micro-Adventure:
  • https://en.wikipedia.org/wiki/Micro_Adventure

 
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At scale, anything we build is going to involve people.  Many of us have personal schedules and to-do lists, but how can we scale that to hundreds or even thousands of people?  When you file a help ticket at a massive company like Google or Facebook, ever wonder how that ticket is processed? Sanjay Siddhanti, Akasa’s Director of Engineering, is no slouch when it comes to navigating massive workflow engines – and in today’s episode, he shares his experiences in bioinformatics, workflows, and more with us.

00:00:39 Workflow engine definitions

00:01:40 Introductions

00:02:24 Sanjay’s 8th grade programming experience

00:05:28 Bioinformatics

00:10:29 The academics-vs-industry dilemma

00:16:52 Small company challenges

00:18:18 Correctly identifying when to scale

00:24:04 The solution Akasa provides

00:31:38 Workflow engines in detail

00:36:02 ETL frameworks

00:45:06 The intent of integration construction

00:47:13 Delivering a platform vs delivering a solution

00:50:04 Working within US medico-legal frameworks

00:53:28 Inadvertent uses of API calls

00:55:47 Working in Akasa

00:57:09 Interning in Akasa

00:58:35 Farewells

Resources mentioned in this episode:

Sanjay:

• Twitter: https://twitter.com/siddhantis
• Linkedin: https://www.linkedin.com/in/sanjaysiddhanti/

Akasa:

• Website: https://www.akasa.com
• Sanjay’s Q&A https://akasa.com/blog/10-questions-for-sanjay-siddhanti-director-of-engineering-at-akasa/
• Careers: https://akasa.com/careers/
• Interning: https://www.linkedin.com/jobs/view/research-intern-ai-spring-summer-2023-at-akasa-3206403183/

References:

• Episode 33: Design Patterns:
  • https://www.programmingthrowdown.com/2014/05/episode-33-design-patterns.html
• The Mythical Man-Month:
  • https://en.wikipedia.org/wiki/The_Mythical_Man-Month

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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S1: Holiday 2022 Special

Today we field questions from Programming Throwdown’s listeners about AI, machine learning, and more practical matters as developers in our annual holiday special!

00:00:24 Introductions

00:00:43 Programming Showdown merch

00:02:13 Paul S

00:03:28 Dealing with ergonomics

00:10:39 On AI coding assistant tools

00:16:43 Warren Y

00:20:24 Ben inquires about performance testing

00:27:39 Wild coding story

00:29:37 AI coding’s disruption potential

00:34:20 Jason’s Turing riddle

00:35:50 ChatGPT

00:43:59 Christian B

00:45:13 Collection-of-Letters asks on documentation

00:49:07 Zeh F

00:50:51 Coding books that weren’t that great

00:54:40 James K

00:57:32 Jeremy S wonders about ML

01:00:45 Virtual and live hangouts

01:02:09 A retrospective

01:07:49 Xu L

01:09:22 Showing off the shirts

01:11:31 Farewells

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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Happy holidays from Programming Throwdown to everyone!

Package managers are an often-overlooked aspect of any operating system, but their importance is not to be underestimated – especially in today’s development environment. As both creator of Homebrew and CEO of tea.xyz, Max Howell is intimately familiar with the ins and outs of open-source development, software engineering, and balancing passion with practicality. He shares these experiences and more with us in today’s deep dive into the subject!

00:01:00 Introductions

00:01:29 When Max started Tea.XYZ

00:03:51 British plugs

00:08:10 Literally rolling out of bed to work

00:11:49 The value of meetups

00:13:14 Getting into open-source

00:23:00 Mandrake

00:25:02 Turning frustration into action

00:30:47 Deno

00:40:28 OSX’s relationship with Unix

00:55:33 Trying out Ruby

01:01:13 April Fools prank ideas

01:04:13 The cause of sleepless nights with Homebrew

01:14:41 What got Max inspired to do Tea

01:19:53 From startup to company

01:41:55 Farewells

Resources mentioned in this episode:

Links:

• Tea.XYZ:
  • Website: https://tea.xyz/
  • Twitter: https://twitter.com/teaxyz_
  • Instagram: https://www.instagram.com/tea.xyz/
  • Github: https://github.com/teaxyz
  • Reddit: https://reddit.com/r/teaxyz
  • Discord: https://discord.com/invite/KCZsXfJphn

References:

• 101 on Package Management:
  • https://en.wikipedia.org/wiki/Package_manager
• Deno:
  • https://deno.land/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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Yonatan Cohen – Co-Founder & CTO of Quantum Machines – joins us in this episode to tackle quantum computing!  Did you know anyone can run quantum programs on Amazon Web Services for mere dollars? Learn about this field early to take pole superposition in the race to understand and use quantum computers!

00:00:45 Introductions

00:01:20 Yonatan’s beginnings

00:03:49 The simulation question

00:05:51 How physics led to quantum computing

00:14:56 Richard Feynman

00:16:44 On the irreversibility of normal computers

00:21:25 Logic gates

00:25:04 Qubits

00:30:11 An example of qubits

00:38:19 Why simulating a quantum computer matters

00:42:23 NP-complete problems

00:48:57 More people at a higher development level are needed

00:54:16 Quantum machines in the middle layer

01:02:56 Working at Quantum Machines

01:05:05 Farewells

Resources mentioned in this episode:

Links:

• Quantum Machines:
  • Website: https://www.quantum-machines.co/
  • Careers: https://www.quantum-machines.co/careers/
• Yonatan Cohen:
  • Linkedin: https://www.linkedin.com/in/yonatan-cohen-10076b113/

References:

• Getting Started with Quantum Computing
  • https://builtin.com/software-engineering-perspectives/how-to-learn-quantum-computing

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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In this tour-de-force, Mike Dalessio – Engineering Director at Shopify – and Evan Phoenix – self-described “long-time Rubyist” – join us for a practical discussion of all things Ruby! Ruby is a beautiful language, and we're really excited to cover the history and present of this language with two experts.

00:01:03 Introductions

00:01:49 Mike’s Ruby journey

00:12:28 Evan’s own Ruby experience

00:18:20 The pickaxe book

00:20:34 Weird programming interests

00:25:11 MINASWAN

00:30:33 Language conferences

00:36:38 Wrong answers on StackOverflow

00:41:53 RubyCentral

00:44:50 In-depth examination of Ruby

00:47:57 How Shopify sticks to vanilla Rails

00:50:28 A tale of two developers

00:59:59 Bringing Ruby up to Python’s level

01:04:48 Shopify’s largest app monolith

01:11:12 Tuning the knobs

01:18:01 How not to learn the hard way

01:18:57 Opportunities at Shopify

01:29:14 Working with the RubyShield program

01:32:07 Rails for API servers

01:33:21 Mike and Evan’s advice for listeners

01:36:00 Farewells

Resources mentioned in this episode:

Links:

• RubyCentral:
  • Website: https://rubycentral.org/
  • RubyShield: https://rubycentral.org/ruby-shield
  • Twitter: https://twitter.com/rubycentralorg
• Shopify:
  • Website: https://www.shopify.com/
  • Careers: https://www.shopify.com/careers
  • Dev Degree Program: https://devdegree.ca/pages/program
• HashiCorp
  • Website: https://www.hashicorp.com/
  • Careers: https://www.hashicorp.com/jobs
• Mike Dalessio:
  • Website: http://mike.daless.io/
  • Twitter: https://twitter.com/flavorjones
• Evan Phoenix:
  • Website: https://github.com/evanphx
  • Twitter: https://twitter.com/evanphx
• RubyConf 2022 (Nov. 29 – Dec. 1, 2022):
  • Website: https://rubyconf.org/

Other Episodes:

• Episode 47: Ruby
  • Show Link: https://www.programmingthrowdown.com/2015/10/episode-47-ruby.html

References:

• “The Pickaxe Book” aka Programming Ruby: The Pragmatic Programmer’s Guide 2nd Edition:
  • Amazon: https://www.amazon.com/Programming-Ruby-Pragmatic-Programmers-Second/dp/0974514055

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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Today we discuss adventures, books, tools, and art discoveries before diving into unsupervised machine learning in this duo episode!

00:00:22 Introductions

00:01:28 Email & inbox organization is very important

00:07:28 The Douglas-Peucker algorithm

00:11:48 Starter project selection

00:17:01 Tic-Tac-Toe 

00:21:41 Artemis 1

00:26:25 Space slingshots

00:29:47 Flex Seal tape

00:32:38 The Meditations

00:37:58 Flour, Water, Salt, Yeast

00:40:55 Pythagorea

00:46:13 Google Keep

00:48:05 Visual-IF

00:50:49 Data insights

01:03:07 Self-supervised learning

01:10:26 A practical example of clustering

01:15:10 Word embedding

01:24:02 Farewells

Want to learn more? Check out these previous episodes:

• Episode 27: Artificial Intelligence Theory
  • https://www.programmingthrowdown.com/2013/05/episode-27-artificial-intelligence.html
• Episode 28: Applied Artificial Intelligence
  • https://www.programmingthrowdown.com/2013/06/episode-28-applied-artificial.html
• Episode 109: Digital Marketing with Kevin Urrutia
  • https://www.programmingthrowdown.com/2021/03/episode-109-digital-marketing-with.html
    
    

Resources mentioned in this episode:

News/Links:

• Simplify lines with the Douglas-Peucker Algorithm
  • https://ilya.puchka.me/douglas-peucker-algorithm/ 
• How to pick a starter project
  • https://amir.rachum.com/blog/2022/08/07/starter-project/
• Tic-Tac-Toe in a single call to printf()
  • https://github.com/carlini/printf-tac-toe 
• Artemis 1
  • https://www.nasa.gov/artemis-1/
• Visual-IF
  • https://www.visual-if.com/

Book of the Show:

• Jason’s Choice: “The Meditations” by Marcus Aurelius
  • https://amzn.to/3C3Kg7b
• Patrick’s Choice: “Flour, Water, Salt, Yeast” by Ken Forkish
  • https://amzn.to/3CqFwKa

Tool of the Show:

• Jason’s Choice: Pythagorea
  • Android: https://play.google.com/store/apps/details?id=com.hil_hk.pythagorea&hl=en&gl=US
    
    
  • iOS: https://apps.apple.com/us/app/pythagorea/id994864779
    
    
• Patrick’s Choice: Google Keep
  • https://keep.google.com/
    
    

References:

• Clustering: https://en.wikipedia.org/wiki/Cluster_analysis
• Autoencoding: https://en.wikipedia.org/wiki/Autoencoder
• Contrastive Learning: https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607
• Matrix Factorization: https://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems)
• Stochastic factorization: https://link.medium.com/ytuaUAYBjtb
• Deep Learning: https://en.wikipedia.org/wiki/Deep_learning
  
  

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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Today we go back to our programming language roots with author, KT Academy founder, and Kotlin rockstar Marcin Moskala.  We talk about how Kotlin makes itself doubly useful for app and backend development. 

00:00:55 Introductions

00:01:38 Java frustrations 

00:09:37 Why a well-organized typing system is important

00:11:59 What Kotlin is

00:14:58 Obsidian 

00:20:13 Learning new things can be a prudent future investment

00:23:46 A pleasant coding experience

00:26:41 Co-routines in Kotlin

00:34:37 Where co-routines are best in app development

00:44:54 Thread balancing in practice

00:57:39 Kotlin’s integrated cancellation mechanism

01:05:10 Getting started with Kotlin

01:18:16 Farewells

Resources mentioned in this episode:

Marcin Moskala:

• Website: https://marcinmoskala.com/
• Twitter: https://twitter.com/marcinmoskala
• KT Academy: https://kt.academy/

Kotlin Learning Resources

• Marcin on KT: https://kt.academy/user/marcinmoskala
• Kotlin Coroutines: https://leanpub.com/coroutines
• Effective Kotlin: https://leanpub.com/effectivekotlin
• Functional Kotlin (Early Access): https://leanpub.com/kotlin_functional
• More Kotlin Publications on Leanpub

Information Organization Tools

• WorkFlowy: https://workflowy.com/
• Obsidian: https://obsidian.md/
  
  

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Finding something online might seem easy - but as Marcus Eagan tells it, it’s not easy to get it right. In today’s episode, MongoDB’s Staff Product Manager on Atlas Search speaks with Jason and Patrick about his own journey in software development and how to best use search engines to capture user intent.

00:00:34 Introductions

00:01:30 Marcus’s unusual origin story

00:05:10 Unsecured IoT devices

00:09:56 How security groupthink can compromise matters

00:12:48 The Target HVAC incident

00:17:32 Business challenges with home networks

00:21:51 Damerau-Levenshtein edit distance factor ≤ 2

00:23:58 How do people who do search talk about search

00:30:35 Inferring human intent before they intend it

00:46:13 Ben Horowitz

00:47:32 Seinfeld as an association exercise

00:52:27 What Marcus is doing at MongoDB

00:58:30 How MongoDB can help at any level

01:01:00 Working at MongoDB

01:08:14 Farewells

Resources mentioned in this episode:

Marcus Eagan:

• Website: https://marcussorealheis.medium.com
• The Future of Search Is Semantic & Lexical: https://marcussorealheis.medium.com/the-future-of-search-is-semantic-and-lexical-e55cc9973b63
• 13 Hard Things I Do To Be A Dope Product Manager: https://marcussorealheis.medium.com/13-hard-things-i-do-to-be-a-dope-database-product-manager-7064768505f8
• Github: https://github.com/MarcusSorealheis
• Twitter: https://twitter.com/marcusforpeace

MongoDB:

• Website: https://www.mongodb.com/
• Atlas: https://www.mongodb.com/cloud/atlas/register
• Careers: https://www.mongodb.com/careers

Others:

• Damerau-Levenshtein distance: https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
• Lucene: https://lucene.apache.org/core/
• Target HVAC Incident (2014, Archive Link): https://archive.is/Wnwob 

Mergify:

• Website: https://mergify.com/

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Douwe Maan’s journey sounds too fantastic to be true, yet the tale that Meltano’s founder shares with Jason and Patrick today is very, very real. Whether it’s about doing software development by 11, joining Gitlab while juggling college responsibilities, or building his own company during today’s challenging times, he has quite the story to tell. In today’s episode, he speaks on Twitter, his perspective on remote work, and why data operations are a critical part of developer stacks in today’s world.

00:01:00 Introductions

00:03:44 Hustling online at 11

00:08:08 From iOS to web-based development

00:10:20 How Douwe balanced school and work

00:12:05 Sid Sijbrandij

00:19:13 Why Twitter was integral in Douwe’s journey

00:21:01 What Meltano offers for data teams

00:22:01 Remote work

00:30:59 Gitlab’s data team and what they do

00:44:40 What tools do data engineers use

00:47:40 Singer

00:50:26 Game designer travails

00:58:59 Where data operations come in

01:05:12 Getting started with Meltano

01:12:00 Meltano as a company

01:22:09 Farewells

Resources mentioned in this episode:

Douwe Maan:

• Website: https://douwe.me/
• Twitter: https://twitter.com/douwem
• GitLab: https://github.com/DouweM

Meltano:

• Website: https://meltano.com/
• Careers: https://boards.greenhouse.io/meltano
  
  

Singer:

• Website: https://www.singer.io/

Mergify:

• Website: https://mergify.com/
  
  

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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00:01:03 Introductions

00:04:47 Mojovision

00:06:07 Chips’ storied journey

00:11:06 Project Xanadu

00:18:45 Getting into Lucasfilm

00:31:31 Artificial Intelligence in games

00:39:48 GTA MP

01:00:10 How the game industry drives people

01:08:29 Agoric and its niche in the blockchain

01:20:12 Javascript’s securability

01:22:46 Working with Agoric

01:32:20 What skills Agoric’s team looks for

01:35:31 Chip’s parting thoughts

01:37:00 Farewells

Resources mentioned in this episode:
Chip Morningstar:

• Twitter: https://twitter.com/epopt

Agoric:

• Website: https://agoric.com/
• Careers: https://agoric.com/careers/

Habitat Chronicles:

• Website: http://habitatchronicles.com/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/
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00:00:57 Introductions

00:01:51 How Ronak got started in programming

00:06:03 The first encounter with burnout

00:11:49 Double-edged benefits

00:17:23 Spoon theory

00:19:07 Why relationship clarity matters

00:25:11 A cold room story

00:30:59 Context switching’s relevance

00:35:45 QTorque’s solution to monitor cloud automation costs

00:39:19 Setting up lifetimes

00:42:17 Bom lists

00:49:19 How Quali helps with the challenges

00:54:40 What to do to actualize your true self

00:58:00 Farewells

Resources mentioned in this episode:

Ronak Rahman:

    Twitter: https://twitter.com/ofronak

Quali:

          Website: https://www.quali.com/
          Linkedin: https://www.linkedin.com/company/qualisystems/
          QTorque Free Tier: https://www.qtorque.io/pricing/
          Join QTorque: https://portal.qtorque.io/join

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00:00:45 Introductions

00:02:22 The sluggish Python-based system that Guido revitalized

00:06:03 Meeting the challenge of adding necessary complexity to a project

00:11:59 Excel in banking

00:18:15 Guido’s shift into Coil

00:19:29 Scooby-Doo pajamas

00:20:21 What motivates people to come in to the office today

00:24:09 Pandas

00:35:35 Why human error can doom an Excel setup

00:39:29 BLAS

00:46:20 A million lines of data

00:51:43 How does Dask interact with Gambit

00:54:40 Where does Coil come in

00:59:34 The six-o-clock question

01:03:53 Dealing with matters of difficult decomposition

01:12:07 The Coil work experience

01:15:37 Why contributing is impressive

01:20:20 Coil’s product offering

01:21:19 Farewells

Resources mentioned in this episode:

Guido Imperiale:

• Github: https://github.com/crusaderky

Coiled:

• Website: https://coiled.io
• Careers: https://coiled.io/careers/
  
  

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00:00:24 Introductions

00:00:49 IP v6

00:04:50 OSI

00:12:53 The IP v7 debate

00:20:18 The definition of an address’s scope

00:21:38 Why John feels DNS was a mistake

00:26:40 How IP mobility works

00:32:13 Bluetooth 

00:41:41 Where will Internet architecture go from here

00:49:49 Understanding the problem space

00:59:04 The angels in the details

01:00:53 Scientific thinking vs engineering thinking

01:04:01 Victorian architecture

01:06:11 John’s career advice

01:11:18 Garbage Can Model

01:14:38 How to make the most out of college today

01:27:05 Farewells

Resources mentioned in this episode:

Professor John D. Day:

• Wikipedia: https://en.wikipedia.org/wiki/John_Day_(computer_scientist)
• Website: https://www.bu.edu/met/profile/john-day/
• Book: https://www.oreilly.com/library/view/patterns-in-network/9780132252423/

Terminologies:

• CIDR: https://en.wikipedia.org/wiki/Classless_Inter-Domain_Routing
• OSI: https://en.wikipedia.org/wiki/OSI_model
• Connectionless Network Protocol: https://en.wikipedia.org/wiki/Connectionless-mode_Network_Service
• SIP (Session Initiation Protocol): https://en.wikipedia.org/wiki/Session_Initiation_Protocol
• Garbage can model: https://en.wikipedia.org/wiki/Garbage_can_model

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00:01:01 Introduction

00:01:28 COVID and the challenge of teaching

00:04:11 John’s academic and career path

00:08:14 LSI technology

00:12:13 Collaborative software development in the day

00:15:24 ARPANET’s early use

00:20:08 Atom bomb and weather simulations

00:26:55 The message-switching network 

00:34:57 Pouzin

00:38:00 Every register had a purpose

00:45:15 The Air Force in 1972

00:52:10 Low memory

00:59:14 Early problems with TCP

01:11:51 The separation of mechanism and policy

01:23:25 Farewells

Resources mentioned in this episode:

Professor John D. Day:

• Wikipedia: https://en.wikipedia.org/wiki/John_Day_(computer_scientist)
• Website: https://www.bu.edu/met/profile/john-day/
• Book: https://www.oreilly.com/library/view/patterns-in-network/9780132252423/

 Pouzin Society:

•  Website: https://pouzinsociety.org/
•  Twitter: https://twitter.com/pouzinsociety

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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136: Metaverse with Daniel Liebeskind

Decentralizing the future can often lead to missing out on genuine human communication. Daniel Liebeskind, Cofounder and CEO of Topia, talks about how they’re working to avoid that pitfall while building the foundation of a better online experience. Whether its his lessons from Burning Man, keeping the human spirit alive in today’s technological frontier, or how Topia fits in the future, Daniel has something for listeners.

00:01:34 Introduction

00:02:15 Daniel and early programming experience

00:07:51 How coding felt like sorcery

00:09:35 Skill trees

00:16:10 Second Life

00:19:56 Enhancing versus replacing real life experiences

00:26:28 A decentralized Metaverse

00:29:54 Web 2 versus Web 3 

00:34:15 /r/place

00:44:16 Why boom cycles are important for tech

00:46:03 Topia for consumers

00:52:47 Topia as a company

00:55:50 Opportunities at Topia

00:58:00 Topia.io

01:03:50 Farewells

Resources mentioned in this episode:

Daniel Liebeskind, Cofounder and CEO of Topia:

• LinkedIn: https://www.linkedin.com/in/dliebeskind/
• Website: https://medium.com/@dliebeskind
• Twitter: https://twitter.com/dliebeskind

Topia:

• Website: https://topia.io/topia/careers
• LinkedIn:  https://www.linkedin.com/company/topia-io/

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00:00:15 Introduction

00:01:03 Aran Khanna and his background

00:05:12 The Marauder’s Map that Facebook hated(Chrome Extension)

00:20:11 Why Google made Kubernetes

00:31:14 Horizontal and Vertical Auto-Scaling

00:35:54 Zencastr

00:39:53 How machines talk to each other

00:46:32 Sidecars

00:48:25 Resources to learn Kubernetes

00:52:59 Archera

00:59:31 Opportunities at Archera

01:01:08 Archera for End Users

01:02:30 Archera as a Company

01:05:46 Farewells

Resources mentioned in this episode:

Aran Khanna, Cofounder of Archera:

• LinkedIn: https://www.linkedin.com/in/aran-khanna/
• Website: http://arankhanna.com/menu.html
• Twitter: https://twitter.com/arankhanna

Archera:

• Website: https://archera.ai/
• LinkedIn: https://www.linkedin.com/company/archera-ai/
• Twitter: https://twitter.com/archeraai

Kubernetes:

• Website: https://kubernetes.io/
• Documentary: https://www.youtube.com/watch?v=BE77h7dmoQU

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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134: Ephemeral Environments with Benjie De Groot

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How do you test changes to your web backend or database?  Many people have a "production" and one "development" database, but the development database can easily become broken by one engineer and thus unusable for the rest of the team.  Also, how would two engineers make changes in parallel to the development environment?  What if you could spin up hundreds or thousands of development databases as you need them? Today we have Benjie De Groot, Co-Founder and CEO of Shipyard to explain ephemeral environments and how virtual machines and containers have made massive improvements in devops!

00:00:15 Introduction

00:00:24 Introducing Benjie De Groot

00:01:26 Benjie’s Programming Background

00:06:34 How Shipyard started

00:09:17 Working in Startups vs. Tech Giants

00:19:28 The difference between Virtual Machines and Containers

00:26:17 Local Development Environment

00:40:27 What is a DevOps engineer and what does it entail?

00:45:42 Zencastr

00:50:12 Shipyard as a company

00:55:29 How Shipyard gets clients

01:06:48 Farewells

Resources mentioned in this episode:

Benjie De Groot, Co-Founder & CEO at Shipyard:

• LinkedIn: https://www.linkedin.com/in/bueller/
• Podcast: https://www.heavybit.com/library/podcasts/the-kubelist-podcast/

Shipyard:

• Website: https://shipyard.build/
• Careers: https://shipyard.build/careers/
• LinkedIn: https://www.linkedin.com/company/shipyardbuild/
• Twitter: https://twitter.com/shipyardbuild
• Community Website: https://ephemeralenvironments.io/
• GitHub: https://github.com/shipyard

Heavybit:

• Website: https://www.heavybit.com/
• LinkedIn: https://www.linkedin.com/company/heavybit/
• Twitter: https://twitter.com/heavybit

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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