Developer Voices

Data Engineering expert Ashley Jeffs discusses Benthos, a tool for quick data pipeline setup. They cover simplifying data connections, advantages of Benthos, and when to use it. Topics include stream processing, transitioning to Go, error handling, custom plugins, and getting started with Benthos.

Expert in game programming, Tyler Cloutier, discusses using game development concepts like event sourcing and subscriptions in database architecture. They explore the challenges of traditional databases, tick rates, and data subscriptions in gaming and non-gaming scenarios, emphasizing the importance of unifying data architecture for optimal performance.

In this engaging discussion, Bill Hall, the creator of the Odin programming language, emphasizes his vision of "programming done right," aiming to refine C while integrating modern features. He shares insights on the defer statement's utility and contrasts Odin's design philosophy with C, focusing on user experience. Hall highlights Odin's journey, balancing tradition with innovation, and critiques C's macro system while promoting Odin's hygienic macros. His refreshing take makes Odin not just an alternative, but a comfortable evolution of C for today's programming needs.

Experienced architect Bobby Calderwood discusses event-driven architecture and the advantages of thinking about software from an event-based perspective. They explore event sourcing, its definition, and its value in various domains including finance and analytics. The conversation also covers the tech stack associated with event-driven architecture, the relationship between event sourcing and functional programming, and the concept of event modeling in system design.

Professor Christian Schafmeister, an award-winning nanotech researcher, discusses the use of Lisp in designing nanotechnology. He explains the advantages of Lisp for expressing chemistry concepts and talks about implementing his own Lisp interpreter. The challenges of collaborating on software development in Common Lisp and the integration of parallel processing and threading are also explored. Additionally, the progress and challenges in designing molecules for nanotechnology are discussed.

Sometimes, what a programming language makes harder is just as important as what it makes easier. For a simple example, think of GOTO. We’ve been wisely avoiding it for decades because it makes confusing control flow desperately easy. Types and tests are other examples - they’re as much about specifying what shouldn’t work as what should. And perspective is what makes this week’s topic particularly interesting: Roc is a language that’s functional, fast, friendly, and extremely interested in making your life easier by enabling some possibilities and restricting others.So this week we’re joined by Richard Feldman, the creator of Roc. He’s been an advocate of the Elm programming language for years, for its tight focus on taking the best bits of Functional Programming to the browser. And in recent years he’s been inspired to build his own language, taking that philosophy to other places and platforms.But which bits are “the best bits”? And how do they change when the domain you’re coding for changes? How is Roc built and how would we build systems in it? Let’s find out…--Roc’s homepage: https://www.roc-lang.org/Richard’s GOTO Copenhagen 2021 talk: https://www.youtube.com/watch?v=3n17wHe5wEwRichard on Twitter: https://twitter.com/rtfeldmanKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/Kris on Mastodon: https://mastodon.social/@krisajenkinsKris on Twitter: https://twitter.com/krisajenkins

One of the recurring themes in the big data & data streaming worlds at the moment is developer experience. It seems like every major tool is trying to answer this question: how do we make large-scale data processing feel trivial?In some places the answer is any library you like as long as it’s Python. In other realms, a mixture of Java and SQL shows promise. But as this week’s guest—Luca Pette—would say, the Unix design metaphor has plenty to give and keep on giving.So in this episode of Developer Voices we look at TypeStream - his Kotlin project that provides a shell-like interface to data pipelines, and is gradually expanding to make integration pipelines as simple as `cat /dev/kafka | tee /dev/postgres`.--Luca on Twitter: https://twitter.com/lucapetteLuca on LinkedIn: https://www.linkedin.com/in/lucapette/Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/TypeStream homepage: https://www.typestream.io/TypeStream installation guide: https://docs.typestream.io/tutorial/installationCrafting interpreters: https://craftinginterpreters.com/…by Bob Nystrom: https://twitter.com/munificentbobNuShell: https://github.com/nushell/nushell#podcast #apachekafka #bigdata

This week we're back on systems programming with Hare. A C-like language for the ages. We talk to its creator, Drew DeVault, about what he thinks we can learn from the past 50 years of programming, and how we can build that hindsight into a new language that will last for the next 100. In among all that long-term ambition we talk cover everything from error handling, typed unions and linear types, to metaprogramming and Drew's microkernel operating system. It's called Ares, and it is, of course, built in Hare.--Drew's Homepage: https://drewdevault.com/Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/ A summary of Hare’s features: https://harelang.org/tutorials/introduction/Hare Community Resources: https://harelang.org/community/SXMO Mobile: https://sxmo.org/QBE Compiler Backend: https://c9x.me/compile/users.htmlAres OS Source Code: https://sr.ht/~sircmpwn/helios/OSDev Wiki: https://wiki.osdev.org/Expanded_Main_PageThe Ares System [pdf]: https://mirror.drewdevault.com/ares.pdf#programming #podcast #harelang #qbe #microkernel

Michael Drogalis, a former employee turned entrepreneur, shares his journey of launching four startups in four months. He discusses the surprising success of his first venture, revealing how user feedback shaped his focus. Balancing product development with marketing in a tight timeline poses challenges, but he navigates these pressures creatively. Michael also explores opportunities in childcare solutions and humorously reflects on the art of naming—both children and businesses—underscoring the importance of solving real problems.

Integration is probably the last, hardest, and least well thought-out part of any large software project. So anything that makes the data-streaming job easier is worth knowing about. So this week we turn our attention to Apache Flink, a flexible system for grabbing, transforming and shipping data between systems using Java, Python or good ol’ SQL. So this week Robert Metzger—Apache Flink expert and PMC member—joins us to explain what problems Flink solves and how it solves them reliably. We cover the range from simple use cases to realtime aggregations & joins to its high availability strategy.If you’re working on systems that include more than one database, then you’re definitely going to face the kinds of problems that Flink tackles.--Apache Flink: https://flink.apache.org/Robert on Twitter: https://twitter.com/rmetzger_Robert on LinkedIn: https://www.linkedin.com/in/metzgerrobert/Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/–#software #programming #podcast #flink #apacheflink #dataintegration