Bring your own in-progress applications and services for an architecture review from
Temporal experts Smitty Weygant, Samar Abbas, and Dominik Tornow.

Join other Temporal community members to discuss topics including Temporal SDKs,
Server & Operations, Cloud, and Platform Engineering, hosted by Temporal team members.

Many modern applications are implemented as event-driven, reactive applications. In this session we will compare choreography and sagas to orchestration and Temporal workflows when implementing event-driven applications. We will explore which approach provides the best reliability, the best scalability, lowest coupling of components, and a stellar developer experience.

In this talk we'll dig into how Datadog created a developer platform on top of Temporal to enable hundreds of Datadog engineers to build services that automate software delivery, manage infrastructure, and perform complex operations like shard rebalancing and datastore migrations. We'll explore our techniques for implementing, testing, and monitoring workflows, and discuss the biggest challenges we've discovered while adopting Temporal and how we're working to address them in open source.

Stripe has incorporated Temporal into a platform for, so far, over fifty product teams to build tasks, workflows, and batch jobs. If your company plans to author lots of Workflows, this talk will offer tips on how to help them be productive and safe using the technology. We'll discuss common pitfalls we've seen, and talk through easy wins for small platform teams as well as some more substantial investments we've made.

Yum! Brands is building a next generation eCommerce Platform to power its brands: KFC, Taco Bell, Habit Burger and Pizza Hut. Processing millions of orders robustly can be a complex problem. Like, really complex. Traditional eCommerce order services often utilize state machines, databases and distributed sagas to keep track of all the various steps that an order must go through in its lifetime.Then, what about the inevitable failures? The database could become unavailable, the POS device in the store could go offline, the payment processor could have a brief outage and dozens of other scenarios. All of these could lead to a bad real-life experience for a customer waiting for their meal. In this talk, I will step through the "before and after" transition of the Yum Platform's ordering engine and highlight some of key benefits we got out of building on top of Temporal.