A curated list of interesting podcasts, talks, blog posts I have liked and I keep coming back to. I find myself recommending these resources to a lot of people, so I created a list of the highlights.
tech related →
The Downtime Project
Tom and Jamie talk through the postmortems of outages that have affected high profile sites.
The Downtime Project : detailed postmortems of outages that have affected high profile sites
The Knowledge Project with Shane Parrish
Master the best of what other people have already figured out so you can use their lessons in your life to create an unstoppable advantage. Shane Parrish is an entrepreneur and sought-after speaker. His newsletter (https://fs.blog/podcast) offers timeless insights you can use to change your life.
The Knowledge Project with Shane Parrish : insightful conversations
The history of the web.
- Web History : the history of web
Welcome to In Depth, a new podcast from First Round Review that's dedicated to surfacing the tactical advice founders and startup leaders need to grow their teams, their companies and themselves.
In Depth : great conversations about product and building startups
some of my favorite episodes →
This Developer's Life
We are Rob Conery and Scott Hanselman and this is our podcast where we tell stories about things technical and not so technical.
This Developer's Life : amazing podcast by Scott Hanselman & Rob Conery about the stories behind developers.
it has been discontinued since 2015 but I still find gems listening to the podcast. Plus its pretty cool to hear how the vibes in tech industry were in 2010-2015
my favorite episodes →
ScalerPod by Scaler, where our host Arnav talks to the leaders of the biggest tech companies from India about the software engineering challenges they are so...
Scaler Pod : conversations with the leaders of indian tech companies about the software engineering challenges
my favorite episodes →
Money For the Rest of Us
A personal finance and investing podcast on money, how it works, how to invest it and how to live without worrying about it. J. David Stein is a former Chief Investment Strategist and money manager. For close to two decades, he has been teaching individuals and institutions how to invest and handle their finances in ways that are simple to understand.
Beginner friendly if listened to in order! For anyone interested in an educational podcast about philosophy where you don't need to be a graduate-level philosopher to understand it. In chronological order, the thinkers and ideas that forged the world we live in are broken down and explained.
This American Life
This American Life is a weekly public radio show, heard by 2.2 million people on more than 500 stations. Another 2.5 million people download the weekly podcast. It is hosted by Ira Glass, produced in collaboration with Chicago Public Media, delivered to stations by PRX The Public Radio Exchange, and has won all of the major broadcasting awards.
Conan O'Brien Needs A Friend
After 25 years at the Late Night desk, Conan realized that the only people at his holiday party are the men and women who work for him. Over the years and despite thousands of interviews, Conan has never made a real and lasting friendship with any of his celebrity guests.
Containers is an 8-part audio documentary about how global trade has transformed the economy and ourselves. Host and correspondent Alexis Madrigal leads you through the world of ships and sailors, technology and tugboats, warehouses and cranes.
The Seen and the Unseen - hosted by Amit Varma
How should India handle Covid-19? Every option on the table carries huge costs, and will take countless lives. Shruti Rajagopalan joins Amit Varma in episode 169 of The Seen and the Unseen to help navigate the complex decisions that policy makers are being forced to make with little information.
Actor Model in Elixir – Michał Muskała – PartialConf 2017
Student during mornings, developer at afternoons and open source contributor by evenings. Michal is programming languages enthusiast, focusing mostly on the functional side. He is a member of the Elixir's Ecto core team and maintainer of the MongoDB adapter. He's Google Summer of Code 2015 alumni, where he worked on Ecto and its MongoDB integration supervised by José Valim himself. When not programming he enjoys reading books, travelling, and sailing - no matter if sunny, rainy or stormy - it's even better if all of those are combined! More info – http://partialconf.com Follow Partial – https://twitter.com/partialconf
Conference Talk: Actor Model in Elixir – PartialConf 2017 - Michał Muskała
- Good introduction to Elixir
- Focuses on Why and What of Elixir
ElixirConf 2017 - Thinking In Ecto - Darin Wilson
A note from the speaker: "An alert viewer pointed out that there are several typos in the slides. I'm deeply sorry about this. Corrected slides are available here: http://bit.ly/2xoXPzt"
Conference Talk: Thinking In Ecto - ElixirConf 2017 - Darin Wilson
- Great talk to see for an intro to Ecto.
- Compares and contrasts the repository pattern used in Ecto with those in other object oriented languages.
ElixirDaze 2016 - Processing 2.7 million images with Elixir (vs Ruby) by David Padilla
Processing 2.7 million images with Elixir (vs Ruby) by David Padilla
Conference Talk: Processing 2.7 million images with Elixir (vs Ruby) - ElixirDaze 2016 - David Padilla
- A good beginner level talk where David walks through his experience while trying to process large amount of data parallely in elixir.
- Great explanation of using Poolboy to parallelise jobs.
- Includes good comparison of achieving the same thing in Ruby and why Elixir was needed.
ElixirConf 2017 - Don't Write Macros But Do Learn How They Work - Jesse Anderson
ElixirConf 2022 - Chris Grainger - The Future AI Stack
Chris Grainger (Amplified) delivers the Friday Keynote at ElixirConf US 2022. We switched our machine learning research, production inference, and ETL pipelines to Elixir. This is the story of how we made that decision and how it's going. At Amplified, we’ve been building our own deep learning models for long documents and putting them into production since 2017. Our ETL handles over 120 million patents and processes hundreds of thousands of updates each week including vector inference. Despite building our entire SaaS app in Elixir, we used Python for the machine learning and ETL portions of our stack. Python’s ubiquity and community made it seem like the obvious choice. Indeed, we benefitted greatly from the many pre-existing libraries for big data processing as well as from rapidly advancing tools like PyTorch. But as time went on, challenges emerged. Our machine learning and ETL are tightly integrated into our product, but our engineering team was mostly split. As a small team, we should have been able to coordinate effectively and iterate quickly, but instead, work and communications often got siloed into the data side or app side. Even just putting together a development environment that works across architectures and hardware was a challenge. The additional complexity and performance overhead of running a Python machine learning microservice for on-the-fly inference began to bite us. After a few too many painful experiences we began to look for other options. This wasn't the first time we considered consolidating in Elixir. Our initial product was a SPA front end and Elixir backend, but we later switched the entire app to LiveView and never looked back. Productivity shot up, and we’ve enjoyed an increase in feature velocity with fewer bugs. Despite how well that went, we couldn’t abandon Python. There was just too much that we’d have to build. But then Nx came out, and an ecosystem rapidly emerged that could do most of what we needed. The only thing missing was a data frame library. I decided to try building something basic to fill that gap so we could explore moving all of our data and ML operations to Elixir. It worked, and we made the leap. In this talk, I’ll share how we're thinking about an all-Elixir stack for deep learning in production, how the Nx ecosystem made this possible, what we’ve learned, and why we’re excited about what comes next.
The Future AI Stack - ElixirConf 2022 - Chris Grainger
- Chris shares his team’s experience running machine learning research, production inference and ETL pipeline in Elixir for analyzing patent documents at scale.
- They went with python first and then switched to elixir
- Answers the question “Is Elixir ready for ML research + production usecase” wonderfully. (spoiler alert: answer is “yes”), and what the benefits are.
- PS: this talk was delivered before bumblebee was released, now the answer to this question is an overwhelming “YES!” :p
What the heck is the event loop anyway? | Philip Roberts | JSConf EU
Can Swyx recreate React Hooks and useState in under 30 min? - JSConf.Asia
Debugging Under Fire: Keep your Head when Systems have Lost their Mind * Bryan Cantrill * GOTO 2017
- Bryan Cantrill being Bryan Cantrill, Funny and pretty interesting talk with insights on how to build your systems with debuggability in mind.
Scale By The Bay 2018: Bryan Cantrill, Rust and Other Interesting Things
- Bryan Cantrill's talk on "values of programming languages". interesting talk which i think gives a neat framework for answering the question "what programming language should I use for xyz and why”
- very interesting stories about things that can go bad at places one wouldn’t think they would, at the firmware levels! you’ll learned a lot of interesting things about hardware
- this is a fun talk about the history of text encoding, and the why's behind some of the quirks around it. if you’re interested in listening to stories around ascii, unicode, utf, emojis and some anecdotes where these have caused issues, give it a watch!
- watch list
AWS re:Invent 2017: How Netflix Encodes at Scale (CMP309)
Elasticsearch Under the Hood - Philipp Krenn - NDC Copenhagen 2022
My top React techtalks of 2019
Are you curious to know what happened in 2019 in the React world, that you should know about? I watch a lot of dev conference talks. They're a great way to learn new things and stay up-to-date in my career as a developer.
Blog Posts / Articles
E.W. Dijkstra: The Humble Programmer (1972)
- written in 1972, this lays down six rules for a programmer to follow. they are applicable even today.
- neat description of how programming was seen in the 60s, how it will pave the way to the future.
Elixir in the Type System Quadrant
- where does elixir lie in terms of typing
- good refresher around type systems and differences between static, dynamic, weak and strong typings.
- reading list