Pop Goes the Stack

F5
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Explore the evolving world of application delivery and security. Each episode will dive into technologies shaping the future of operations, analyze emerging trends, and discuss the impacts of innovations on the tech stack.

  1. 6H AGO

    VibeOps: Guardrailed agents for deterministic production

    Ops used to be a world of YAML, caffeine, and careful deploy rituals. Now it’s probabilistic models, token-based cost surprises, and reliability questions that sound more like, “Will the model mean the same thing tomorrow?” In this episode of Pop Goes the Stack, Lori MacVittie and Joel Moses dig into what happens when production expectations collide with non-deterministic AI systems, and why the next phase of automation needs more than a chat interface and optimism.   They’re joined by John Capobianco from Itential to explore “VibeOps,” an approach to conversational operations that doesn’t throw away deterministic workflows, but connects them to agent reasoning, tool calling, and modern protocols like MCP. The discussion breaks down agent “skills” as a way to describe what an agent can do, constrain what it can’t, and build guardrails in a format teams can manage.   From red-teaming experiments to real-world concerns about failure rates at scale, the conversation stays grounded in what it takes to make AI useful in production: external knowledge, policy alignment, composable skills, and a maturity path from lab-only to read-only to supervised execution, and only then toward autonomy. The takeaway is clear: conversational ops can accelerate work, improve documentation and ticket quality, and reduce toil, but governance and accountability still matter. If you’re navigating AIOps, agent adoption, or the post-MCP tooling wave, this episode offers a realistic starting point.

    25 min

  2. MAR 3

    WebAssembly: A programmability paradigm shift

    Programmability is experiencing a paradigm shift, and this episode explains why WebAssembly is at the center of it. F5's Lori MacVittie and Joel Moses are joined by WebAssembly expert Oscar Spencer, a longtime contributor in the space and a leader within the Bytecode Alliance, to unpack how Wasm moved from “that browser thing” to a practical foundation for modern platforms. They break down what makes WebAssembly different: a secure sandbox designed for hostile environments, portable logic that can travel across architectures, and language flexibility that doesn’t force teams into obscure, proprietary scripting. The conversation also gets into why Wasm’s small footprint matters, from faster deployment to easier distribution at the edge, and how streaming compilation helps code start running quickly. The most timely thread is the collision between AI-driven operations and runtime safety. As agents generate more code and policies need to adapt in real time, the risk shifts from writing logic to safely executing it. Oscar makes the case that capabilities-based security and fine-grained controls can turn WebAssembly into a “blast chamber” for AI-generated code, reducing the chances that a hallucination becomes a production outage. If you’re thinking about plug-in architectures, safer customization, or how to scale dynamic behavior without scaling risk, this episode is your starting point. Check out WebAssembly Unleashed: https://www.youtube.com/playlist?list=PLyqga7AXMtPNV1zr2aTWEegep0FQU6Qvj

    22 min

  3. FEB 24

    Unstructured Integration: The hidden surface area putting AI privacy & compliance at risk | AI

    "It's just a chat" is the most dangerous sentence in AI. In this episode of Pop Goes the Stack, F5's Lori MacVittie and Joel Moses are joined by data science expert Scott Hendrickson to break down why AI has the surface area of the sun—it touches search, analytics, SEO tags, ad tech, APIs, logs, and all the integrations people forget are even there. That’s the danger: as AI spreads across the stack, the privacy + compliance surface area explodes. What feels like a private conversation can get captured, logged, shared, or even indexed—not because of a hack, but because an old SEO/analytics integration “helpfully” records whatever shows up in a box…including chat. Listen in to learn how SEO/tag managers can ingest entire chat transcripts, why conversational UX breaks "transactional web" assumptions, who may end up seeing your "private" context, and actionable steps to protect AI privacy.

    24 min

  4. FEB 17

    Logging for Giants: High-Speed Telemetry in an AI World

    When OpenAI discovered they could reclaim 30,000 CPU cores simply by tuning the log-forwarding agent Fluent Bit—disabling a single function that ate ~35 % of one server’s cycles—something large and systemic became undeniable. In this episode, F5's Lori MacVittie, Joel Moses, and observability expert, Chris Hain, break down the hidden cost of telemetry in AI-heavy architectures, why “logging is free” is a myth, and how modern systems demand a new breed of high-speed telemetry planes. Listen in to learn how Fluent Bit’s file-watching overhead compounded at scale, why profiling matters, and what enterprises can do now to control AI observability costs.

    22 min

  5. FEB 10

    Low-Code Automation Tools with Teeth: FlowFuse & N8N

    Low-code automation has grown up, and the competition is getting spicy. In this episode of Pop Goes the Stack, F5's Lori MacVittie and Joel Moses are joined by Aubrey King as they dig into the heavyweight duel between N8N and FlowFuse—two platforms promising to empower teams to automate anything without waiting for overworked developers. We cut through the marketing fluff and look at the real differences in architecture, deployment models, extensibility, security posture, and operational experience. How do they scale? Who controls your data? And what happens when the automation breaks at 2 a.m.? If you care about automation that doesn’t collapse under real-world pressure, you’ll want to hear this. Read our F5 research for more on the status of automation in IT: https://www.f5.com/resources/reports/state-of-application-strategy-report

    22 min

  6. FEB 3

    The New New User Interface: AI in your brain

    The capability to map brain activity to language isn’t just another UI shift—it’s a paradigm shift in how humans and machines might communicate. If you’re building systems that integrate or rely on neuroscience-adjacent tech (or even simply storing neuro-derived data), you’ll want to treat this as a strategic early warning: new input modalities, new risk surfaces, and new expectations of what “internal” means.   In this episode of Pop Goes the Stack, F5's Lori MacVittie and Joel Moses unpack emerging research on decoding neural activity into language—turning brain signals into natural-language output. They explore the promise for accessibility alongside major concerns: privacy, “intrusive thoughts,” and how systems decide which signals to surface. With a massive potential “blast radius” if connected to agentic systems, the research serves a stark reminder on the importance of evaluating AI breakthroughs for practicality and risk. Read the original research, Mind captioning: Evolving descriptive text of mental content from human brain activity: https://www.science.org/doi/10.1126/sciadv.adw1464   Read the summary, "Mind-captioning" AI decodes brain activity to turn thoughts into text: https://www.nature.com/articles/d41586-025-03624-1

    18 min

  7. JAN 27

    The Impact of Inference: Reliability

    Traditional reliability meant consistency. Given identical inputs, systems produced identical outputs. Costs were stable and behavior predictable. Inference reliability on the other hand is shaped by nondeterminism. Outputs vary due to stochastic generation, retraining introduces drift, and token-based billing can cause cost fluctuations. The new dimension of reliability is semantic consistency, that is, the ability to deliver outputs of acceptable quality, accuracy, and predictability over time despite probabilistic behavior.   In this episode of Pop Goes the Stack, F5's Lori MacVittie and Joel Moses are joined by guests Ken Arora and Kunal Anand as they dive into the topic of reliability in AI systems. They explore the concept of 'slop' (AI variability) as a potential feature rather than a bug, discuss the importance of contextual semantic consistency, and weigh guardrails and evals tailored to specific inference workloads. Tune in to learn how to navigate the evolving AI landscape and take note of practical tools and strategies like multi-model chaining, distillation, and prompt engineering to ensure reliability. Find out more in the blog How AI inference changes application delivery: https://www.f5.com/company/blog/how-ai-inference-changes-application-delivery

    23 min

  8. JAN 20

    The Impact of Inference: Performance

    Traditional performance meant deterministic response times. Identical inputs produced near-identical execution times. Optimizations reduced latency, but variance was minimal. Insert AI inference and performance engineering has been flipped upside down. Latency depends on model size, tokenization, batching strategies, and generation settings. Identical inputs may produce different response times. The new dimension of performance is variance—not just how fast the system responds, but how response times distribute across requests, how many tokens per second are processed, and how efficient each response is relative to cost. In this episode of Pop Goes the Stack, Lori MacVittie, Joel Moses, and special guest Nina Forsyth dive into the impact of AI inference on measuring performance. It's time to rethink performance observability, focus on infrastructure optimization, agent-to-agent interactions, and robust measurement techniques. Listen in to learn how traditional approaches must evolve to manage this multi-dimensional puzzle.

    21 min
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About

Explore the evolving world of application delivery and security. Each episode will dive into technologies shaping the future of operations, analyze emerging trends, and discuss the impacts of innovations on the tech stack.

Information

  • Creator
    F5
  • Years Active
    2025 - 2026
  • Episodes
    34
  • Rating
    Clean
  • Copyright
    © 2026 F5