Jack Burns
Jack Burns
TITLE:Software Engineer
COMPANY:Datadog
STATUS UPDATE
Jack Burns is a Software Engineer on the AI Skunkworks team at Datadog, where he works on experimental applied AI products. Previously, he ran the Temporal Cloud platform at Nordstrom. Jack has been in the Temporal ecosystem since the Cadence days at Uber and has remained both a user and contributor ever since. These days, he spends a lot of time thinking about how AI and orchestration can work better together.
TALK
Lightning Talk: Platforming Temporal Cloud at Enterprise Scale
ABSTRACT
Rolling out Temporal across an enterprise means solving the boring problems: namespace provisioning, API key management, identity integration, and audit logging. This talk covers building a self-service platform that handles the operational work so teams can focus on workflows. We’ll share practical decisions around namespace design, SCIM integration, and infrastructure-as-code patterns.
TALK
Scaling Temporal across the Enterprise: A Conversation with Platform Teams
ABSTRACT
This panel will bring together Platform Teams, architects, and engineering leads to discuss how to adopt and scale Temporal successfully across organizations. The panelists include speakers from Netflix, Nordstrom, Redis, and Apollo Global Management, who have extensive, hands-on experience building Temporal platforms. Topics covered will include how to get buy-in for Temporal from your leadership and how to enable your internal customers to be successful with Temporal. The discussion will be moderated by Cornelia Davis, Senior Staff Developer Advocate for Temporal, who has spent a career at the forefront of technological innovation, including more than a decade working in cloud-native software and DevOps platforms.
TALK
Lightning Round Talks
ABSTRACT
In this lightning round session, you will hear from the following speakers:
Lessons learned from building fast, open source infrastructure for web agents
Catherine Jue | kernel.sh
Kernel builds fast, open source infrastructure that lets AI agents access the internet. To hit our sub‑150ms browser boot times, we evolved our stack from containers to unikernels to microVMs. This talk walks through what we learned with each iteration, and what it actually takes to make serverless browsers not just fast, but reliable at scale with long-running “entity workflows” in Temporal.
From nothing to everything: one single alert to managing datacenters with AI
Ryan Stevens | ZoomInfo
Breaking Organizational Silos with Temporal
Jonathan Chan | RBC