Building Render: Inside a Modern Cloud Platform (with Anurag Goel)
How would you build a Heroku-like platform from scratch? This week we're diving deep into the world of cloud platforms and infrastructure with Anurag Goel, founder and CEO of Render.Starting from the seemingly simple task of hosting a web service, we quickly discover why building a production-ready platform is far more complex than it appears. Why is hosting a Postgres database so challenging? How do you handle millions of users asking for thousands of different features? And what's the secret to building infrastructure that developers actually want to use?We explore the technical challenges of building enterprise-grade services—from implementing reliable backups and high availability to managing private networking and service discovery. Anurag shares insights on choosing between infrastructure-as-code versus configuration, why they built on Go, and how they handle 100 billion requests per month.Plus, we discuss the impact of AI on platform adoption: Are LLMs already influencing which platforms developers choose? Will hosting platforms need to actively support agentic workflows? And what does the future hold for automated debugging?Whether you're curious about building your own platform, want to understand what really happens behind your cloud provider's dashboard, or just enjoy hearing war stories from the infrastructure trenches, this episode has something for you.–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/joinRender: https://render.com/Render’s MCP Server (Early Access): https://render.com/docs/mcp-serverPulumi: https://www.pulumi.com/Victoria Metrics: https://victoriametrics.comLoki: https://vector.dev/docs/reference/configuration/sinks/loki/Vector: https://vector.dev/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
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InfluxDB: The Evolution of a Time Series Database (with Paul Dix)
How hard is it to write a good database engine? Hard enough that sometimes it takes several versions to get it just right. Paul Dix joins us this week to talk about his journey building InfluxDB, and he's refreshingly frank about what went right, and what went wrong. Sometimes the real database is the knowledge you pick up along the way....Paul walks us through InfluxDB's evolution from error logging system to time-series datasbase, and from Go to Rust, with unflinching honesty about the major lessons they learnt along the way. We cover technical details like Time-Structure Merge Trees, to business issues like what happens when your database works but your pricing model is broken.If you're interested in how databases work, this is full of interesting details, and if you're interested in how projects evolve from good idea to functioning business, it's a treat.--Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinInfluxData: https://www.influxdata.com/InfluxDB: https://www.influxdata.com/products/influxdb/DataFusion: https://datafusion.apache.org/DataFusion Episode: https://www.youtube.com/watch?v=8QNNCr8WfDMApache Arrow: https://arrow.apache.org/Apache Parquet: https://parquet.apache.org/BoltDB: https://github.com/boltdb/boltLevelDB: https://github.com/google/leveldbRocksDB: https://rocksdb.org/Gorilla: A Fast, Scalable, In-Memory Time Series Database (Facebook paper): https://www.vldb.org/pvldb/vol8/p1816-teller.pdfPaul on LinkedIn: https://www.linkedin.com/in/pauldix/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
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Beyond AI Hype, What Will Developers Actually Use? (with Zach Lloyd)
If AI coding tools are here to stay, what form will they take? How will we use them? Will they be just another window in our IDE, will they push their way to the centre of our development experience, displacing the editor? No one knows, but Zach Lloyd is making a very interesting bet with the latest version of Warp.In this deep dive, Zach walks us through the technical architecture behind agentic development, and how it's completely changed what he & his team have been building. Warp has gone from a terminal built from scratch, to what they're calling an "agentic development environment" - a tool that weaves AI agents, a development, a shell and a conversation into a single, unified experience. This may be the future or just one possible path; regardless it's a fascinating glimpse into how our tools might reshape not just how we code, but how we experience programming itself.Whether you're all-in on agentic coding, a skeptic, or somewhere in between, AI is here to stay. Now's the time to figure out what form it's going to take.# Support Developer Voices- Patreon: https://patreon.com/DeveloperVoices- YouTube: https://www.youtube.com/@DeveloperVoices/join-- Episode Links- Warp Homepage: https://warp.dev/- Warp Pro Free Month (promo code WARPDEVS25): https://warp.dev/- Previous Warp Episode: https://youtu.be/bLAJvxUpAcg- SWE-bench: https://www.swebench.com/- TerminalBench: https://github.com/microsoft/TerminalBench- Model Context Protocol (MCP): https://modelcontextprotocol.io/- Claude Code: https://claude.ai/code- Anthropic Claude: https://claude.ai/- VS Code: https://code.visualstudio.com/- Cursor: https://cursor.sh/- Language Server Protocol (LSP): https://microsoft.github.io/language-server-protocol/# Connect- Zach on LinkedIn: https://www.linkedin.com/in/zachlloyd/- Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.social- Kris on Mastodon: http://mastodon.social/@krisajenkins- Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
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The $500 Billion Integration Problem, And One Possible Solution (with Marty Pitt)
Ever wondered why data integration is still such a nightmare in 2025? Marty Pitt has built something that might finally solve it.TaxiQL isn't just another query language - it's a semantic layer that lets you query across any system without caring about field names, API differences, or where the data actually lives. Instead of writing endless mapping code between your microservices, databases, and APIs, you describe what your data *means* and let TaxiQL figure out how to get it.In this conversation, Marty walks through the “All Powerful Spreadsheet” moment that sparked TaxiQL, how semantic types work in practice, and why this approach might finally decouple producers from consumers in large organizations. We dive deep into query execution, data lineage, streaming integration, and the technical challenges of building a system that can connect anything to anything.If you've ever spent months mapping fields between systems or maintaining brittle integration code, this one's for you.–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/join–TaxiLang Homepage: https://taxilang.org/TaxiLang Playground: https://playground.taxilang.org/examples/message-queue-and-databaseTaxi Lang GitHub repository: https://github.com/taxilang/taxilangOpenAPI Specification (formerly Swagger): https://swagger.io/specification/YOW! Conference - Australian software conference series: https://yowconference.com/Spring Framework Kotlin support: https://spring.io/guides/tutorials/spring-boot-kotlin/Ubiquitous Language (DDD Concept): https://martinfowler.com/bliki/UbiquitousLanguage.htmlKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/–0:00 Intro
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Making Software Crash Before It Breaks (with Isaac Van Doren)
At 23, Isaac is already jaded about software reliability - and frankly, he's got good reason to be. When your grandmother can't access her medical records because a username change broke the entire system, when bugs routinely make people's lives harder, you start to wonder: why do we just accept that software is broken most of the time?Isaac's answer isn't just better testing - it's a whole toolkit of techniques working together. He's advocating for scattering "little bombs" throughout your code via runtime assertions, adding in the right amount of static typing, building feedback loops that page you when invariants break, and running nightly SQL queries to catch the bugs that slip through everything else. All building what he sees as a pyramid of software reliability.Weaving into that, we also dive into the Roc programming language, its unique platform architecture that tailors development to specific domains. Software reliability isn’t just about the end user experience - Roc feeds in the idea we can make reliability easier by tailoring the language domain to the problem at hand.–Isaac’s Homepage: https://isaacvando.com/Episode on Property Testing: https://youtu.be/wHJZ0icwSkcProperty Testing Walkthrough: https://youtu.be/4bpc8NpNHRcSupport Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/joinIsaac on LinkedIn: https://www.linkedin.com/in/isaacvando/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Deep-dive discussions with the smartest developers we know, explaining what they're working on, how they're trying to move the industry forward, and what we can learn from them.You might find the solution to your next architectural headache, pick up a new programming language, or just hear some good war stories from the frontline of technology.Join your host Kris Jenkins as we try to figure out what tomorrow's computing will look like the best way we know how - by listening directly to the developers' voices.
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