Cami and Cassidy take us down memory lane, sharing how they got into computer science together, hosted a web series (and still podcast together sometimes), and overlapped at two jobs together.
Early in the days of high-traffic web pages and apps, any engineer operating the infrastructure would have a server room where one or more machines served that app to the world. They named their servers lovingly, took pictures, and watched them grow. The servers were pets. But since the rise of public cloud and infrastructure as code, servers have become cattle—you have as many as you need at any given time and don’t feel personally attached to any given one. And as more and more organizations find their way to the cloud, more and more engineers need to figure out how to herd cattle instead of feed pets.
Show notes
Gartner forecasts that around $500 billion will be spent worldwide on end user cloud computing during 2022. Firment says that’s only 25% of IT budgets today, but he expects it to grow to 65% by 2025.
Pluralsight just published its State of the Cloud report. 75% of of all leaders want to build new products and services in the cloud, but only 8% of the technologists have the experience to actually work with cloud related tools.
Over the years Homebrew, an open source package manager, has emerged as the project with the greatest number of individual contributors. Despite all that, it’s creator Max Howell, couldn’t make a living off the occasional charity of the millions of people who used the software he built. This XKCD cartoon is probably the most frequently repeated joke on the podcast over the last three years.
While he is not a crypto bull, Max was inspired with a solution for the open source funding dilemma by his efforts to buy and sell an NFT. A contract written in code and shared in public enforced a rule sending a portion of his proceeds to the digital objects original creator. What if the same funding mechanism could be applied to open source projects?
In March of 2022, Max and his co-founder launched Tea, a sort of spirtual successor to Homebrew. It has a lot of new features Max wanted in a package manager, plus a blockchain based approach to ensuring that creators, maintainers, and contributors of open source software can all get paid for their efforts.
You can read Max’s launch post on Tea here and yes, of course there is a white paper. Follow him on Twitter here.
Eric explains that great jobs are available for developers in Japan, but it can be tough to find these opportunities.
We talk about interesting startups that are gaining traction in the Japanese tech sector (like Visual Alpha, Treasure Data, and Exawizards, to name a few examples of companies on the Japan Dev platform).
Matt is impressed to learn Japan Dev generates an average of $60,000/month in revenue.
Eric reflects on starting Japan Dev as a side project while he was employed full-time as an engineer.
Eric elaborates on why he doesn’t think venture capital is a good fit for Japan Dev.
Night owls unite! Eric says that his most productive hours are between midnight to 4AM.
When most people talk about Web3 or cryptocurrencies and related technologies, they usually mean blockchains. But blockchain is only the first generation of distributed ledger technology (DLT). As with any new technology, once people see how it works, new generations come along rapidly to address the faults in the previous ones.
On this sponsored episode of the podcast, Ben and Ryan chat with Matt Woodward, head of developer relations at Swirlds Labs. Swirlds Labs created the Hedera ecosystem, a DLT built on a hashgraph, not a blockchain. We chat about what the difference is between a blockchain and a hashgraph, Hedera’s focus on environmental sustainability, and why the Web3 version of “Hello, World!” takes a little more effort.
Show notes
Hedera’s hashgraph is a third-generation DLT: it’s an open-source consensus algorithm and a data structure that uses a direct acyclic graph and two novel inventions, the gossip about gossip protocol and virtual voting.
There’s been a lot of talk about the environmental impact of cryptocurrencies. Woodward says that a single Bitcoin transaction uses 1000kW-hours—the equivalent of driving a Tesla Model S 5,500 km—while Hedera uses 160 MW-hours of energy per year, about 2.5 million times less.
When Foursquare launched in 2009, the app was consumer facing, letting you know where friends had checked in and what spots might appeal to you. People competed to be the “mayor” of certain locations and built guides to their favorite neighborhoods., The service expanded to allow merchants to offer discounts to frequent guests and track foot traffic in and out of the stores. While you can still use the Swarm app to find the best Manhattan in Manhattan, the company realized that real estate and data share the same three key rules: location, location, location.
On this sponsored episode of the podcast, Ben and Ryan talk with Vin Sharma, VP of Engineering at Foursquare, about how they’re finding the atomic data that makes up their location data—their location data—and going from giving insight to individual app users about the locations around them to APIs that serve these location-based insights to developers at organizations like Uber, Nextdoor, and Redfin, who want to build location based insights and features into their own apps.
Show notes
If you still want to check in at your local bakery and remember all the place you’ll go, the original Foursquare app is now Swarm.
They have almost 70 location attributes that they are starting to deconstruct and decompose into fundamental building blocks of their location data. Like data primitives—integers, booleans, etc.—these small bites of data can be remade with agility and at scale.
Through the recent acquisition of Unfolded, Foursquare allows you to visualize and map location data at any scale. Want to see patterns across the country? Zoom out. Want to focus on a square kilometer? Zoom in and watch the data move.
