InfoQ - Performance Evaluation

Article: When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies

Kushal Kumar Vishwakarma — Mon, 12 Oct 2026 11:00:00 GMT

Physical data layout is one of the most consequential decisions in lakehouse engineering. The author compares Liquid Clustering, ZOrdering, and partitioning across four workload types on Delta Lake, uncovering two undocumented failure modes that likely affect production systems today and offering a decision framework for choosing the right layout strategy.

By Kushal Kumar Vishwakarma

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