podcast episodes for developers
A hand-picked, playable selection of the best podcast episodes for this topic — each with the reason it earned its spot. Press play on any pick, or build your own playlist free.
Why these picks
7 episodes curated for "podcast episodes for developers"
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The curated episodes
7 episodes — each chosen for a reason you can read below.
Why this pick: This episode directly targets developers building platforms, focusing on serverless streaming with SQL. It provides deep insights into developer experience, Flink operators, BYO-account SaaS, Kubernetes policies, and when to avoid K8s entirely. As a recent, high-quality discussion from SaaS for Developers, it delivers practical technical advice for modern infrastructure work.
Why this pick: Centered on cell-based architecture for early-stage SaaS, this episode equips developers with scaling knowledge from theory to practical heuristics. Guest Eno Thereska shares expertise on benefits, tenant assignment, and real-world implementations from companies like AWS and DoorDash. It's a must-listen for developers avoiding common infrastructure pitfalls in growing systems.
Why this pick: Ryan Worl details re-engineering infrastructure like Kafka on S3, ideal for developers optimizing cloud-native designs. The episode explores S3 vs S3 Express, ideal serverless streaming experiences, and SaaS logging best practices. Its focus on fundamental shifts in infrastructure design offers unique, actionable value for modern developers.
Why this pick: This award-winning discussion on Kora, a cloud-native Kafka platform, is highly relevant for developers working with streaming and serverless systems. It covers capacity abstractions, rebalances, quotas, cells, and driving innovation at scale at Confluent. The VLDB paper insights make it a credible, in-depth resource for backend and data engineers.
Why this pick: This broad yet technical take on SaaS beyond business models helps developers understand tenant costing, architecture pitfalls, and unique SaaS tech options. Bill Tarr from AWS SaaS Factory blends business and tech perspectives with references to observability and multi-region designs. It's practical for full-stack and backend developers building scalable products.
Why this pick: Focused on optimizing cloud costs, this episode is essential for developers in SaaS startups who must measure and manage expenses. Adam Shugar shares measurement depth, cost-cutting strategies, and tech advice alongside startup growth insights. Its emphasis on data-driven impact makes it highly practical for engineering teams balancing innovation and budgets.
Why this pick: This guide on LLM prompt engineering targets developers integrating AI, covering architecture, techniques like contextual prompting, fine-tuning, ethics, and real-world applications. Though shorter, it provides structured knowledge on emerging LLM trends and bias mitigation. It aligns well with developer needs in the current AI landscape.