InfoQ - Development - Presentations

Presentation: Actors for Agents: Patterns for Production AI

Manju Rajashekhar — Thu, 22 Oct 2026 11:00:00 GMT

Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating agents as distributed systems, he discusses state ownership, message passing, write-through state, and supervision boundaries to manage failures, continuations, and mutable execution graphs, moving agentic workflows beyond fragile demos to resilient architecture.

By Manju Rajashekhar

Presentation: AI is an Amplifier: Scale High Performance, Not Dysfunction

Nathen Harvey — Wed, 21 Oct 2026 11:00:00 GMT

Nathen Harvey shares insights from DORA research on AI adoption in software delivery. He explains why AI acts as an amplifier, how the DORA AI Capabilities Model drives outcomes, and why engineering leaders must evolve beyond bottlenecks like code reviews to achieve sustainable productivity, reduce delivery instability, and empower developers without burning out their teams.

By Nathen Harvey

Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar — Tue, 20 Oct 2026 11:00:00 GMT

The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful memory handling, auto-scaling on dynamic traffic, and robust control plane designs, while highlighting critical guardrails, multi-region setups, and LLM-as-a-judge evaluation pipelines.

By Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar

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: What 25 Trillion Tokens Reveal about How Developers Actually Adopt AI Agents

Brendan O’Leary — Thu, 15 Oct 2026 11:00:00 GMT

Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.

By Brendan O’Leary

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