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Code[ish]

Code[ish]

Code[ish]

A podcast brought to you by the developer advocate team at Heroku, exploring code, technology, tools, tips, and the life of the developer.

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Code[ish] • January 5th, 2021

106. Growing a Self-Funded Company

Hosted by Greg Nokes, Alli McGee, Lewis Buckley

Most companies talk about building for the customer—but when you’re a self-funded company like BiggerPockets, building a product that users pay for can be the difference between success and shutting down. Guests Alli McGee and Lewis Buckley from BiggerPockets talk about what it means to truly build a product that delights the customer. They discuss how they’ve structured their teams to collaboratively discover, build, and ship what the customer wants, and how instead of MVPs they build Minimum Loveable Products.

Transcript Available

  • Tools and Tips
  • design thinking
  • MVP
  • project management
  • Ruby on Rails
  • startups

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Code[ish] • December 29th, 2020

105. Event Sourcing and CQRS

Hosted by Robert Blumen, Andrzej Ludwikowski

Organizing data into a sequence of CRUD operations have a long history in software. But with newer and never-ending data streams, different models are emerging. Guest Andrzej Ludwikowski, a software architect at SoftwareMill joins host Robert Blumen to discuss the architecture patterns of event sourcing and CQRS as alternatives.

Transcript Available

  • Deeply Technical
  • architecture
  • CQRS
  • CRUD
  • database
  • design patterns
  • distributed systems
  • events

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Code[ish] • December 22nd, 2020

104. The Evolution of Service Meshes

Hosted by Robert Blumen, Luke Kysow

As microservices and container orchestration have grown in popularity, reusable layers of logic, such as authentication and rate limiting, have been pulled out into separate entities known as a service mesh. Luke Kysow, a software engineer at HashiCorp, covers their history and evolution.

Transcript Available

  • Deeply Technical
  • architecture
  • containers
  • design patterns
  • distributed systems
  • gRPC
  • Kubernetes
  • microservices
  • service meshes
  • VMs

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Code[ish] • December 17th, 2020

103. Chaos Engineering

Hosted by Rick Newman, Mikolaj Pawlikowski

Chaos engineering is a way of testing your software predicated on the fact that something in your system, at some point, will break. By intentionally causing disruptions--for example, dropping network connections--and observing how your system responds, you'll better prepare yourself for when the unexpected happens. Mikolaj Pawlikowski, author of "Chaos Engineering: Crash test your applications" explains the philosophies and best practices behind these resiliency techniques.

Transcript Available

  • Deeply Technical
  • chaos engineering
  • DevOps
  • distributed systems
  • Kubernetes
  • observability
  • SRE
  • testing

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Code[ish] • December 10th, 2020

101. Cloud Native Applications

Hosted by Joe Kutner, Cornelia Davis

Too often, there's an assumption that putting one's application "in the cloud" simply means hosting your code on a server somewhere--but that's just the beginning. Guest Cornelia Davis, CTO of Weaveworks, talks with Joe Kutner about what it really means to be a cloud native application, discussing everything from resiliency patterns to deployment practices.

Transcript Available

  • Deeply Technical
  • cloud native
  • GitOps
  • Kubernetes
  • microservices
  • resiliency

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Code[ish] • December 15th, 2020

102. Whether or Not to Repeat Yourself: DRY, DAMP, or WET

Hosted by Robert Blumen, Ev Haus

There are many different ways to architecturally structure a program, which has invariably led to debates on which system is "the best." We'll explore several of these strategies--nicknamed DRY (Don't Repeat Yourself), DAMP (Don't Abstract Methods Prematurely), and WET (Write Everything Twice)--with Ev Haus, the Head of Technology at ZenHub, including when each is best to use.

Transcript Available

  • Deeply Technical
  • architecture
  • code refactoring
  • Coding
  • Programming
  • testing

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Code[ish] • December 8th, 2020

100. Math for Programmers

Hosted by Hailey Walls, Paul Orland

Programmers are often expected to not only know complicated math equations, but to cherish them dearly; in reality, nothing could be further from the truth. Although mathematics forms the basis for a lot of software, most people are still put off by it. Paul Orland, a mathematician turned programmer, found this so perplexing that he wrote a book breaking down math concepts for programmers. He'll share his reasons for doing so, as well as why he believes maths is essential to every job.

Transcript Available

  • Tools and Tips
  • math
  • Python
  • STEM

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Code[ish] • December 1st, 2020

99. The Technical Side of Deep Fakes

Hosted by Julián Duque, Dmytro Bielievtsov

A "deep fake" is the derisive name given to the rise of manipulated pictures and videos. Will newer forms of computer generated media cause us doubt what we see and hear online? Dmytro Bielievtsov is the CTO and co-founder of Respeecher, a speech-to-speech platform that produces AI-generated audio samples. In this second half of a two-part episode, he'll explain how audio can be faked, why it can be advantageous, and more importantly, how faked audio can be detected.

Transcript Available

  • Deeply Technical
  • deepfakes
  • GAN
  • machine learning
  • synthesized media

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Code[ish] • November 19th, 2020

Special Episode: Health Metrics at Scale

Hosted by Trey Ford, Jacob Silzer, Tim Panagos

The COVID-19 pandemic has forced many industries to rethink how they operate. Amidst those changes, businesses are looking for new ways to keep on top of rapidly changing health guidelines. Microshare is a provider of data-driven solutions for IoT devices. Tim Panagos, their CTO, talks about what they built and what they adapted in order to massively pivot their business to provide solutions that communities desperately need.

Transcript Available

  • Tools and Tips
  • blockchain
  • compliance
  • data insights
  • healthcare
  • Internet of Things
  • IoT

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Code[ish] • November 24th, 2020

98. The Ethical Side of Deep Fakes

Hosted by Julián Duque, Alex Serdiuk

The rise of manipulated pictures and videos have given a name to this notorious practice: deep fakes. But Alex Serdiuk, the CEO of Respeecher, suggests its how we use these tools that makes them bad, not the technology in and of itself. He'll explain how his platform, which produces AI-generated audio samples, is actually helping the entertainment industry deliver fresh content to its customers.

Transcript Available

  • DevLife
  • AI
  • audio processing
  • content creators
  • deep fakes
  • synthetic media

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