InfoQ - Transcripts - Presentations

Presentation: Practical Performance Tuning for Serverless Java on AWS

Vadym Kazulkin — Mon, 15 Jun 2026 13:12:00 GMT

AWS Hero Vadym Kazulkin explains how to overcome Java’s enterprise hurdle on AWS Lambda: cold starts and memory footprints. He shares a technical deep dive into performance tuning, comparing fully managed AWS SnapStart (with pre-snapshot priming hooks) against GraalVM ahead-of-time compilation, while addressing the latest architectural implications of Project Leyden and Java 25.

By Vadym Kazulkin

Presentation: Moving Mountains: Migrating Legacy Code in Weeks Instead of Years

David Stein — Fri, 12 Jun 2026 09:24:00 GMT

David Stein shares how to rethink large-scale architectural migrations using AI. He discusses ServiceTitan's "assembly line" pattern, explaining how decomposing legacy codebase refactoring into standardized tasks can achieve massive parallelization. He highlights the critical role of programmatically rigid validation loops to eliminate LLM hallucinations and accelerate engineering agility.

By David Stein

Presentation: Building and Scaling UI Systems for Internal Tools at Meta

Cindy Zhang — Thu, 11 Jun 2026 09:05:00 GMT

Cindy Zhang discusses the evolution of XDS, a unified UI system powering 10,000+ internal tools. She shares actionable insights for architects and engineering leaders on managing large-scale community contributions, executing safe monorepo refactors using JS AST and AI codemods, mitigating breaking changes via feature flags, and expanding UI libraries into full-stack platform systems.

By Cindy Zhang

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

Adi Polak — Wed, 10 Jun 2026 12:03:00 GMT

Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares how engineering leaders can leverage Apache Kafka and Flink for real-time stream processing, dynamic memory tiering, and tool orchestration via MCP to solve token limits, cost spikes, and latency bottlenecks.

By Adi Polak

Presentation: Confidently Automating Changes across a Diverse Fleet

Casey Bleifer — Tue, 09 Jun 2026 12:14:00 GMT

Netflix engineer Casey Bleifer shares how to achieve rapid, automated code changes across a massive, diverse software fleet. She discusses building an event-driven orchestration platform using composable, Lego-like steps, and explains how Netflix utilizes automated canary validation, compliance checks, and a custom "confidence metric" to eliminate the long tail of manual engineering migrations.

By Casey Bleifer

Presentation: Mitigating Geopolitical Risks with Local-First Software and atproto

Martin Kleppmann — Mon, 08 Jun 2026 11:00:00 GMT

Martin Kleppmann discusses the urgent need for technological sovereignty in modern infrastructure. Exploring the shifting landscape of global tech dependencies, he shares how engineering leaders can leverage multi-cloud architecture, de facto API standardization, the AT Protocol, and local-first development paradigms to reclaim user agency and build highly resilient systems.

By Martin Kleppmann

Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey

Viktor Vedmich — Mon, 08 Jun 2026 10:15:00 GMT

Senior Solution Architect Viktor Vedmich shares how engineering leaders can maximize application performance using Valkey. He discusses the open-source Redis fork's 100% API compatibility, explores advanced caching strategies like lazy loading, and explains how to implement powerful data structures for real-time analytics, rate limiting, and session stores to solve the thundering herd problem.

By Viktor Vedmich

Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin

Karthik Ramgopal, Prince Valluri — Fri, 05 Jun 2026 12:23:00 GMT

LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share architectural insights from real-world coding, observation, and UI testing agents built at LinkedIn.

By Karthik Ramgopal, Prince Valluri