AI & INFRA: A Full-Stack Observability Showcase + Panel [Hybrid Event]

​This Halloween, the scariest monsters aren't in a movie, they're lurking in your tech stack. From ghostly bugs in microservices to nightmarish LLM hallucinations, modern systems have become a haunted house of black boxes. For any engineer on-call, debugging these issues can be a real nightmare.

​So for this spooky season, we're skipping the tricks and offering a real treat. Join us for a special Halloween event at No Hype Lab where we turn on the lights. Top engineers from Volkswagen, Arize AI, SAP, Datadog, and NVIDIA & HPI will share their ghost-busting tools and techniques for full-stack observability. Learn how to exorcise bugs and build systems that are transparent, not terrifying.

​❗Please Note: You must register with your real name; otherwise, your entry will be refused. Moreover, in person capacity is about 100, it will be a first come first served policy!!

​Featured Talks:

​1) Best Datadog Configuration at Scale: A Volkswagen Case Study

​As a Principal Cloud Architect at Volkswagen's @Dx.one, Dr. Santiago Gomez Saez is responsible for migrating data-intensive workloads to the cloud, defining the standards that empower data engineering teams to excel. In this talk, he will share a rare look into how a global enterprise like Volkswagen leverages Datadog at scale. Drawing from his experience, you'll learn best practices for configuration, automation, and standardization to optimize observability pipelines and ensure high performance in complex, data-heavy environments.

• ​Speaker: Dr. Santiago Gomez Saez (Principal Cloud Architect @Dx.one - Volkswagen Group, & Datadog Ambassador)

​2) Automating Agent Observability and Evals: Real Lessons From the Industry

​AI agents are powerful, but their "black box" nature makes them notoriously difficult to debug and evaluate in production. How do you automate this process to ensure reliability? This talk provides real-world answers. Drawing on insights from Arize AI's major collaborations with industry giants like Uber, Spotify, Shopify, eBay, and Discord, Dat Ngo will showcase battle-tested strategies for automating agent observability and evaluation, sharing the key lessons learned from deploying AI solutions at massive scale.

• ​Speaker: Dat Ngo (Director of AI Solutions, EMEA/APJ @ Arize AI)

​3) Scaling LLM Evaluation: A Cloud-Native Approach with Phoenix and AWS Bedrock

​Effective LLM evaluation is often the biggest bottleneck to shipping reliable AI products. In this talk, Ali Qeblawi demonstrates how to break through it by building a scalable, cloud-native evaluation pipeline. He will present a practical blueprint for deploying Arize's open-source library, Phoenix, on AWS. Learn how to leverage services like EC2 for elastic compute, S3 for data persistence, and Bedrock for seamless model integration to create an automated and robust evaluation framework for your LLMs.

• ​Speaker: Ali Qeblawi (Host @ No Hype Lab | AI Cloud Engineer @Dx.one - Volkswagen Group | Phoenix Ambassador @ Arize AI)

​No Tricks, Just Traces panel discussion:
Our expert panel will connect the dots between infrastructure, observability, and AI performance. We'll dive into the real-world challenges of monitoring complex systems and discuss the tools and strategies needed to achieve true full-stack observability.

​For the panel, our speakers Dat Ngo and Dr. Santiago Gomez Saez will be joined by Antonio Rueda-Toicen, an AI Researcher at HPI and NVIDIA Ambassador, adding his deep expertise in multimodal AI & Simon Gausmann, a Chief Software Architect with extensive experience building enterprise-grade systems. Guiding the entire conversation will be our moderator, Emamurho Ugherughe , a Global Quality Lead @ SAP AI.

​Agenda:

• ​18:00 — Doors Open, Food & Drinks

• ​18:40 — Opening Remarks

  • ​Host: Ali Qeblawi

• ​18:45 — Talk 1: Best Datadog Configuration at Scale

  • ​Dr. Santiago Gomez Saez

• ​19:05 — Talk 2: Automating Agent Observability and Evals

  • ​Dat Ngo

• ​19:25 — Talk 3: Scaling LLM Evaluation with Phoenix & AWS

  • ​Ali Qeblawi

• ​19:45 — Break

• ​20:00 — Expert Panel

• ​21:00 — Open Networking

• ​21:30 — Event Concludes