{"podcast":{"title":"The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org","slug":"the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807","podcast_index_feed_id":7871807,"rss_url":"https://feeds.fexingo.com/business/the-cto-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-cto-podcast/cover.png","author":"Fexingo","episode_count":76,"summary":"Lucas and Luna sit down in front of a whiteboard to dissect the decisions that shape technical organizations. Each episode of The CTO Podcast with Fexingo examines a specific engineering leadership challenge — from scaling a microservices architecture without creating a distributed monolith, to managing the cognitive load of a 200-engineer org, to choosing between a monorepo and polyrepo strategy based on team topology. The conversations are grounded in real-world cases: how Etsy restructured its data pipeline after a 2019 outage, why Stripe’s API versioning policy reduces breaking changes, or what Basecamp’s choice of SQLite over PostgreSQL says about product philosophy. Lucas brings the journalistic rigor — citing commit histories, RFCs, and postmortems — while Luna pushes back with the pragmatics of org dynamics, hiring constraints, and technical debt. There are no hot takes, no vendor pitches, no ‘best practices’ without trade-offs. Each episode ends with a specific tension left unresolved: the optimal number of direct reports for a VP of Engineering, the point at which a monolith should be broken apart, or whether a platform team should own the CI/CD pipeline. The listener is…","last_synced_at":"2026-06-27T14:18:24.326804+00:00","page_url":"https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807"},"episode":{"title":"How MongoDB Rebuilt Its Document Store for Multi-Terabyte Workloads","slug":"how-mongodb-rebuilt-its-document-store-for-multi-terabyte-workloads","published_at":"2026-06-23T19:52:30+00:00","page_url":"https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-mongodb-rebuilt-its-document-store-for-multi-terabyte-workloads","show_page_url":"https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807","url":"https://audio.fexingo.com/business/the-cto-podcast/episode-0069.mp3","audio_url":"https://audio.fexingo.com/business/the-cto-podcast/episode-0069.mp3","summary":"Episode 69 of The CTO Podcast. Lucas and Luna dive into how MongoDB's engineering team redesigned their core storage engine to handle multi-terabyte workloads without sacrificing developer velocity. They break down the specific challenge: a single customer complaint about a 12-terabyte shard that took 47 hours to rebalance. That complaint triggered a two-year effort to rewrite the WiredTiger storage engine's write-ahead log and compression layer. Lucas explains why the old architecture hit a wall at around 8 terabytes per node, and how the team's decision to switch from per-document compression to page-level compression made rebalancing 40x faster. Luna brings in a parallel from her own experience at a fintech startup that hit similar scaling pains. They discuss the trade-offs the MongoDB team made—accepting a 15 percent increase in storage cost per gigabyte in exchange for predictable rebalance times. A concrete look at how one of the most popular NoSQL databases evolved to meet the demands of modern workloads. #MongoDB #WiredTiger #NoSQL #StorageEngine #DatabaseArchitecture #CTOPodcast #TechnicalLeadership #EngineeringOrgs #Scaling #Compression #WriteAheadLog #Rebalancing #MultiTerabyte #FexingoBusiness #BusinessPodcast #BackendEngineering #DatabaseInternals #ProductionEngineering Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Episode 69 of The CTO Podcast. Lucas and Luna dive into how MongoDB's engineering team redesigned their core storage engine to handle multi-terabyte workl…","key_points":[],"chapters":[],"topics":[],"duration_seconds":589,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/episodes/how-mongodb-rebuilt-its-document-store-for-multi-terabyte-workloads/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-cto-podcast-with-fexingo-technical-leadership-architecture-and-engineering-org-7871807/how-mongodb-rebuilt-its-document-store-for-multi-terabyte-workloads.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}