Software Engineering Daily

Decentralized applications might someday offer alternatives to modern monopolies. Uber, Airbnb, Facebook, Amazon—all of these services could be recreated on a decentralized stack of technologies like Ethereum, IPFS, and Golem. Fully decentralized services could be more transparent, cheaper, and more efficient. But let’s be realistic. Today, even the simplest applications of fully decentralized blockchains don’t work as well as we need them to. Cryptokitties offered a glimpse into how aContinue reading...

Humans organize into groups. There are lots of group types: religions, corporations, national governments, state governments, citizenries, clubs, musical bands. Every group has governance. Governance defines the rules, and the ways that rules change. The United States requires citizens to pay taxes. A corporation requires you to show up to work, but they have to pay you a salary. Most groups today are managed by people. If you break aContinue reading...

Farms have lots of data. A corn farmer needs to monitor the chemical composition of soil. A soybean farmer needs to track crop yield. A chicken farmer needs to count the number of eggs produced. If this data is captured, it can be acted upon—for example, a dry farm can automatically turn up its irrigation system. Or the data can simply be studied. If you work in a pure softwareContinue reading...

Dogecoin was started in 2013 as a joke. Jackson Palmer forked Bitcoin and created his cryptocurrency as a play off the “doge” meme. The currency became popular as a means of reddit users “tipping” each other. If I made a comment on reddit that you liked, you might send me some Dogecoin. This use case allowed people to share the idea of Dogecoin virally, and Dogecoin became valuable, even thoughContinue reading...

Bitcoin is an immutable, append-only blockchain ledger that reaches consensus through proof-of-work. The contents of the ledger are financial transactions–people sending and receiving Bitcoin currency to each other. Since Bitcoin, there have been other cryptocurrencies that have similar properties–like Ethereum and the IPFS/Filecoin system. Similar to Bitcoin, they use a decentralized, proof of work based system with a currency reward system–but the ledger being maintained is not purely financial. AContinue reading...

The easiest way to train a computer to recognize a picture of cat is to show the computer a million labeled images of cats. The easiest way to train a computer to recognize a stop sign is to show the computer a million labeled stop signs. Supervised machine learning systems require labeled data. Today, most of that labeling needs to be done by humans. When a large tech company decidesContinue reading...

Apache Spark is a system for processing large data sets in parallel. The core abstraction of Spark is the resilient distributed dataset (RDD), a working set of data that sits in memory for fast, iterative processing. Matei Zaharia created Spark with two goals: to provide a composable, high-level set of APIs for performing distributed processing; and to provide a unified engine for running complete apps. High-level APIs like SparkSQL andContinue reading...

Steve Herrod led engineering at VMWare as the company scaled from 30 engineers to 3,000 engineers. After 11 years, he left to become a managing director for General Catalyst, a venture capital firm. Since he has both operating experience and a wide view of the technology landscape as an investor, he is well-equipped to discuss a topic that we have been covering on Software Engineering Daily: the integration of cloudContinue reading...

On Software Engineering Daily, we have been covering the “serverless” movement in detail. For people who don’t use serverless functions, it seems like a niche. Serverless functions are stateless, auto-scaling, event driven blobs of code. You might say “serverless sounds kind of cool, but why don’t I just use a server? It’s a paradigm I’m used to.” Serverless is exciting not because of what it adds but because of whatContinue reading...

Earlier this year we did several shows about Cloud Foundry, followed by several shows about Kubernetes. Both of these projects allow you to build scalable, multi-node applications–but they serve different types of users. Cloud Foundry encompasses a larger scope of the application experience than Kubernetes. Kubernetes is lower level, and is actually being used within newer versions of Cloud Foundry to give Cloud Foundry users access to the Kubernetes abstractions.Continue reading...