InfoQ - application performance management

Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform

Pratik Rasam — Thu, 08 Oct 2026 11:00:00 GMT

Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.

By Pratik Rasam

Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products

Susan Chang — Mon, 05 Oct 2026 11:19:00 GMT

Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.

By Susan Chang

Presentation: Beyond Observability: Evolving Production Operations in the Age of AI

Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio — Thu, 01 Oct 2026 12:30:00 GMT

The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural practices help engineering teams build more understandable systems, while exploring how AI reshapes software delivery and changes the historically deterministic nature of production applications.

By Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio

Presentation: Context is the New Code

Patrick Debois — Wed, 30 Sep 2026 11:00:00 GMT

Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.

By Patrick Debois