InfoQ - QCon Software Development Conference - Presentations

Presentation: Exploding GPUs and the AI Infrastructure Challenge

Andrew Martin — Fri, 16 Oct 2026 11:00:00 GMT

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

By Andrew Martin

Presentation: How to Find Resilience Bugs in Systems that Don't Exist

Hillel Wayne — Wed, 14 Oct 2026 11:00:00 GMT

Hillel Wayne discusses how formal methods principles - such as property strength, state-space verification, and environment assumptions - help software engineers uncover critical architectural bugs early. He shares practical mental models like "adversarial non-determinism" to reason about concurrency, edge cases, and distributed system failures without needing complex mathematical tools.

By Hillel Wayne

Presentation: How Eve Online Leverages Head Based Sampling to Observe "Fun"

Nicholas Herring — Tue, 13 Oct 2026 11:00:00 GMT

Nicholas Herring shares how EVE Online tackles distributed tracing and observability across a 20-year-old MMO architecture. He discusses leveraging head-based, dynamic exponential moving average (EMA), and deterministic sampling techniques to maintain high system fidelity, control telemetry costs, and avoid performance degradation under high-throughput real-time game simulations.

By Nicholas Herring

Presentation: You Can't Trust Your AI Bill. And Neither Can I

Erik Peterson — Mon, 12 Oct 2026 11:00:00 GMT

Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit economics, forced developer promotions, and why fully autonomous AI will write, deploy, and govern code by 2028.

By Erik Peterson

Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale

Prasanna Vijayanathan, Renzo Sanchez-Silva — Fri, 09 Oct 2026 11:00:00 GMT

Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems.

By Prasanna Vijayanathan, Renzo Sanchez-Silva