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Platform Engineering Playbook Podcast

Platform Engineering Playbook Podcast

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The Platform Engineering Playbook Podcast is where AI meets open-source infrastructure knowledge—and you're part of the editorial process. Every episode is researched, scripted, and produced with AI, then reviewed by the community and published on GitHub for anyone to improve. Facing tool sprawl across 130+ platforms? Justifying PaaS costs to your CFO? Navigating the Shadow AI crisis hitting 85% of organizations? We tackle the messy realities of platform engineering that most content avoids, delivering data-backed insights and decision frameworks you can use Monday morning. Built for senior engineers, SREs, and DevOps practitioners with 5+ years in production, we dissect cloud economics, AI governance, infrastructure trade-offs, and career strategy—with the receipts to back it up. Think we got something wrong? Have better data? Open a pull request at platformengineeringplaybook.com. This is infrastructure podcasting as a living document, where the community keeps us honest and the content gets better with every contribution.

Read the playbook at https://platformengineeringplaybook.com

Copyright 2025 All rights reserved.
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    Épisodes
    • The AI-Cloud Native Symbiosis - How Intelligent Infrastructure is Transforming Platform Engineering
      Jan 14 2026

      By 2025, 90% of new enterprise applications will be AI-powered and cloud-native. This episode explores the symbiotic relationship between AI and Kubernetes - where AI isn't just another workload, but is fundamentally transforming how we build and operate cloud native platforms. We cover real-world examples like Netflix's predictive scaling achieving 92% accuracy, the emergence of AI-driven observability platforms, and why platform engineers need to evolve from infrastructure operators to AI-infrastructure orchestrators.

      In this episode: - AI transforming the Kubernetes control plane with predictive scheduling - Netflix's AI-driven traffic management: 92% prediction accuracy, 35% resource reduction - AI-native observability: anomaly detection on metric relationships, not just metrics - GPU orchestration: NVIDIA GPU Operator achieving 80%+ utilization vs 30-40% baseline - Edge AI patterns: federated learning, model distillation, intermittent connectivity - Skills evolution: Understanding AI workload characteristics without becoming ML experts - News: Red Hat connects AI to Istio via Kiali MCP Server, AWS CloudWatch adds Apache Iceberg support

      Perfect for senior platform engineers, SREs, DevOps engineers looking to understand the convergence of AI and cloud native technologies.

      New episodes every week. Subscribe wherever you listen to stay current on platform engineering.

      Episode URL: https://platformengineeringplaybook.com/podcasts/00090-ai-cloud-native-symbiosis

      Duration: 15 minutes

      Host: Alex and Jordan

      Category: Technology Subcategory: Software How-To

      Keywords: AI, cloud native, Kubernetes, symbiosis, intelligent infrastructure, platform engineering, GPU orchestration, predictive scaling, observability, machine learning, Netflix, edge AI, federated learning

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      15 min
    • MIT 10 Breakthrough Technologies 2026 - The Platform Engineering Perspective
      Jan 13 2026

      MIT just released their 10 Breakthrough Technologies for 2026 - and three of them are infrastructure problems that platform engineers are solving right now. This episode explores hyperscale AI data centers consuming 96 GW globally by 2026, vibe coding with 41% of code now AI-generated, and LLM interpretability research from Anthropic. We break down how platform engineers enable these breakthroughs through power-aware scheduling, AI coding guardrails, and new observability patterns for ML systems.

      In this episode: - Hyperscale AI data centers: 96 GW capacity, $600B capex, 100+ kW per rack - Vibe coding: 92% developer AI adoption, GitHub Copilot at 20M users - LLM interpretability: Anthropic's sparse autoencoders for debugging AI - Platform skills needed: power management, GPU orchestration, ML observability - News: Cloudflare IaC security, AWS CloudWatch Iceberg, SSL certificate dangers

      Perfect for senior platform engineers, SREs, DevOps engineers looking to understand the infrastructure behind 2026's biggest tech breakthroughs.

      New episodes every week. Subscribe wherever you listen to stay current on platform engineering.

      Episode URL: https://platformengineeringplaybook.com/podcasts/00089-mit-10-breakthrough-technologies-2026

      Duration: 21 minutes

      Host: Alex and Jordan

      Category: Technology Subcategory: Software How-To

      Keywords: MIT, breakthrough technologies, 2026, AI, hyperscale, data centers, vibe coding, LLM, interpretability, platform engineering, infrastructure, GPU, Copilot, Cursor

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      21 min
    • AWS Route 53 Global Resolver - Enterprise DNS Security at the Edge
      Jan 12 2026

      Every DNS query your hybrid environment makes could be exposing sensitive data. AWS Route 53 Global Resolver, announced at re:Invent 2025, combines anycast routing, encrypted DNS protocols (DoH/DoT), and managed threat filtering in a single service.

      In this episode, we cover: - Anycast DNS architecture routing to nearest of 11 AWS regions - DoH and DoT encrypted DNS protocol support - AWS RAM authorization for multi-account private hosted zones - DNS filtering with managed threat lists - Implementation patterns for hybrid environments and remote workforces - Query logging for security visibility and threat hunting

      Plus news on Claude Code creator workflows, UK encryption backdoors, K8s EU hosting costs, PostgreSQL replacing Redis, and Rust ecosystem security.

      Links: - Episode page: https://playbook.platformengineering.org/podcasts/00088-aws-route-53-global-resolver - AWS Route 53 Global Resolver docs: https://docs.aws.amazon.com/route53/latest/userguide/resolver-global-resolver.html

      #AWS #Route53 #DNS #DoH #DoT #HybridCloud #Security #PlatformEngineering #DevOps

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      20 min
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