Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Snacks, Drinks and Networking
6:30pm - 7:15pm: Bernd Rücker, Camunda
7:15pm – 8:00pm: Pere Urbon Bayes, Confluent
8:00pm - 8:15pm - Additional Q&A
9:00pm: end
Speaker:
Bernd Rücker, Co-Founder Camunda
Bio:
Bernd is a co-founder of Camunda. But foremost he is a software developer and consultant. He is doing BPM for more than 10 years now and committed in various Open Source Workflow Engines over time. By coaching countless projects he got totally passionate about the whole 'developer friendly BPM' story. When has some spare time he gives talks at conferences or write articles and books (e.g. Real-Life BPMN book).
Title:
The Big Picture: Monitoring and Orchestration of Your Microservices Landscape with Kafka and Zeebe
Abstract:
A company’s business processes typically span more than one microservice. In an e-commerce company, for example, a customer order might involve microservices for payments, inventory, shipping and more. Implementing long-running, asynchronous and complex collaboration of distributed microservices is challenging. How can we ensure visibility of cross-microservice flows and provide status and error monitoring? How do we guarantee that overall flows always complete, even if single services fail? Or, how do we at least recognize stuck flows so that we can fix them?
In this talk, I’ll demonstrate an approach based on real-life projects using the open source workflow engine zeebe.io to orchestrate microservices. Zeebe can connect to Kafka to coordinate workflows that span many microservices, providing end-to-end process visibility without violating the principles of loose coupling and service independence. Once an orchestration flow starts, Zeebe ensures that it is eventually carried out, retrying steps upon failure. In a Kafka architecture, Zeebe can easily produce events (or commands) and subscribe to events that will be correlated to workflows. Along the way, Zeebe facilitates monitoring and visibility into the progress and status of orchestration flows. Internally, Zeebe works as a distributed, event-driven and event-sourced system, making it not only very fast but horizontally scalable and fault tolerant—and able to handle the throughput required to operate alongside Kafka in a microservices architecture. Expect not only slides but also fun little live-hacking sessions and real-life stories.
