Apr 22, 2026

Beyond Line Charts • Yao Yue • YOW! 2025

Yao Yue challenges the dominance of line charts in telemetry visualization, arguing that their time-centric nature and misleading interpolations often obscure insights. She proposes a 'form follows function' approach, advocating for visualizations tailored to the data's shape, the metric's type (e.g., step charts for counters, heatmaps for histograms), and the specific, often 'timeless,' operational questions being asked. The key is to transform time-series data into more flexible formats like panel data to derive clearer, more direct answers.

Apr 08, 2026

Platforms for Humans and Machines: Engineering for the Age of Agents — Juan Herreros Elorza

This talk by Juan Herreros Elorza explores how to design internal developer platforms for a future where AI coding agents are first-class users. It argues that the same best practices that make platforms accessible to humans—self-service interfaces, well-defined APIs, local-first workflows, and rich observability—are now critical prerequisites for agents to autonomously build, debug, and ship software. The session provides concrete principles for platform design, discusses how to manage AI-assisted contributions, and emphasizes the need to measure the impact of these changes on developer productivity and system reliability.

Mar 30, 2026

A Typo Led to the Creation of Spring Cloud Contract • Marcin Grzejszczak & Jakub Pilimon • GOTO 2026

Marcin Grzejszczak, a Java Champion and Spring Cloud Contract contributor, discusses how a production-breaking typo led to the creation of Spring Cloud Contract. He outlines an AI-powered future for contract testing, leveraging production traffic and OpenAPI specs to generate and validate contracts automatically. Marcin also emphasizes that 'context' is the most underrated pillar of observability, transforming raw logs, metrics, and traces into actionable insights.

Feb 28, 2026

Open vs Closed Source Agent Infra?

This panel delves into the strategic implementation of open-source, community-driven agentic stacks, balancing the benefits of open-source frameworks and models for rapid iteration, cost-efficiency, and compliance against the complexities of abstraction and debugging in production environments. Experts from NVIDIA, Stacklok, and Prosus discuss when to adopt open source, challenges in framework choice, the critical need for robust observability, and the role of no-code solutions for diverse user groups, emphasizing the importance of aligning tooling decisions with specific use cases and organizational needs.

Feb 23, 2026

Building an Orchestration Layer for Agentic Commerce at Loblaws

Mefta Sadat from Loblaw Digital discusses Alfred, an agentic orchestration layer designed to run AI shopping agents reliably in production. He covers the architecture built with LangGraph and GCP, the role of the Model Context Protocol (MCP) in simplifying API interaction, and practical MLOps strategies for observability, cost management, and ensuring reliability.

Feb 10, 2026

Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth

Kris Beevers, CEO of NetBox Labs, explores the hypergrowth in AI infrastructure, detailing how teams are compressing the design, build, and deployment cycle from years to months. The discussion covers the primary bottlenecks like power and logistics, the critical need for intent-driven automation, and the role of a standardized data model in managing the immense complexity from physical cabling to logical configuration.