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Platform Engineering Playbook Podcast

Platform Engineering Playbook Podcast

vibesre 100 episodes Latest Mar 30, 2026

The Platform Engineering Playbook Podcast explores the intersection of AI and open-source infrastructure, offering data-backed insights and decision frameworks for senior engineers, SREs, and DevOps practitioners. Each episode is AI-researched and community-reviewed, with content published on GitHub for continuous improvement. Topics include cloud economics, AI governance, infrastructure trade-offs, and career strategy. The podcast aims to address real-world challenges like tool sprawl, PaaS cost justification, and the Shadow AI crisis.

Episodes

The Hidden Kubernetes Tax Costing Teams $43,800 a Year Mar 30, 2026 1102 **Is your company bleeding $43,800 annually on hidden Kubernetes costs?** Most platform teams have no idea they're paying this "invisible tax" – but the smartest engineers are already eliminating it. In today's Platform Engineering Playbook, we expose the shocking truth about Kubernetes cost isolation and dive deep into virtual clusters as the solution. Plus, we break down the biggest platform eng
Your Kubernetes Stack Is Why AI Isn’t Shipping Mar 27, 2026 1136 **Why do 87% of AI models never reach production? It's not the AI - it's the infrastructure underneath.** In this deep dive episode of Platform Engineering Playbook, we tackle the critical challenge of building cloud-native platforms that can actually support AI workloads at scale. While everyone's talking about model performance, the real bottleneck is happening at the infrastructure layer. **Wha
AI Agents in Kubernetes Need Standards — Before Everything Breaks Mar 26, 2026 1149 **What happens when AI agents in your Kubernetes cluster start making their own scaling decisions without proper guardrails?** In this episode of Platform Engineering Playbook, we dive deep into the emerging world of cloud native agentic standards and why they're becoming mission-critical for modern infrastructure. As AI agents become more autonomous in managing our clusters, the need for standard
AI Agents Are About to Break Kubernetes — Unless We Standardize Now Mar 25, 2026 1182 What happens when hundreds of AI agents start running in your Kubernetes cluster but can't communicate with each other? By 2026, this isn't a hypothetical problem—it's the reality platform engineers are facing right now. In this episode of Platform Engineering Playbook, we dive deep into the CNCF's new cloud-native agentic standards and what they mean for your infrastructure. We'll break down why
How to Monitor LLMs in Production Before They Drain Your Budget Mar 24, 2026 1219 **Are you burning through your LLM budget with zero visibility into why?** You're not alone - 73% of production deployments are facing this exact problem right now. In today's Platform Engineering Playbook, we tackle the monitoring crisis plaguing AI infrastructure and break down five game-changing developments reshaping how we deploy and secure production systems. **🎯 What You'll Learn:** • How t
Helm Security Is Broken. WebAssembly Fixes It. Mar 23, 2026 877 **What if 94% of Helm chart vulnerabilities could be prevented with one unexpected technology?** Today's Platform Engineering Playbook dives deep into the surprising intersection of WebAssembly and Kubernetes security, plus breaking news that every platform engineer needs to know. **What You'll Learn:** • How WebAssembly is revolutionizing Helm chart security (spoiler: it's not replacing Kubernete
The Kubernetes AI Pattern That Cuts GPU Costs Mar 20, 2026 1391 **87% of AI workloads are sitting idle on GPUs right now** - yet companies keep buying more hardware. What if the problem isn't capacity, but how we're running AI on Kubernetes? In today's Platform Engineering Playbook, we tackle the massive inefficiencies plaguing AI infrastructure at scale. You'll discover why traditional Kubernetes patterns break down with AI workloads, what's actually happenin
You’re Monitoring the Wrong Kubernetes Metrics Mar 19, 2026 1107 **Are 73% of Kubernetes clusters really flying blind?** According to recent industry reports, most K8s deployments are drowning in meaningless metrics while missing the signals that actually matter for performance and cost optimization. In today's Platform Engineering Playbook, we tackle the Kubernetes observability crisis head-on. You'll discover why traditional monitoring approaches are failing
The AI Security Hole Your Red Team Is Missing Mar 18, 2026 1136 **87% of enterprise AI deployments have a critical security vulnerability that red teams aren't even testing for.** Are you one of them? In today's Platform Engineering Playbook, we expose the massive security hole plaguing enterprise AI systems and dive deep into prompt injection attacks that are slipping past traditional security measures. Plus, we cover the latest platform engineering news that
Your Kubernetes Monitoring Is Blind to AI Attacks Mar 17, 2026 1055 **Is your Kubernetes cluster blind to AI model poisoning attacks?** 73% of companies running AI workloads can't detect when their models are compromised - and traditional monitoring tools are completely useless against these threats. In today's Platform Engineering Playbook, we dive deep into why AI workloads are breaking traditional Kubernetes observability strategies and what platform teams need
The 6 Types of AI Cloud Infrastructure Mar 16, 2026 1088 **87% of AI companies are burning cash on the wrong cloud infrastructure - and they have no idea.** In this episode of Platform Engineering Playbook, we expose the costly mistakes plaguing AI infrastructure and reveal the framework that's helping platform teams save millions while scaling smarter. **What You'll Learn:** • The 6 categories of AI cloud infrastructure that matter in 2026 • How to tra
Why AI Code Is Killing Your Monitoring Budget Mar 13, 2026 1313 **Is your monitoring bill about to explode? AI-generated code is creating 10x more observability data than human-written code.** In this deep dive episode of Platform Engineering Playbook, we unpack the hidden observability crisis that's quietly hitting DevOps teams everywhere. While AI accelerates development, it's also flooding your monitoring systems with unprecedented amounts of telemetry data

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