Dynamic Scaling of Zeebe Brokers: “Christmas is coming, so I'm going to get new orders, so I'm going to scale”

Camunda Community Podcast

On this episode of the Camunda Community Podcast, we discuss the dynamic scaling of Zeebe clusters. Host and Senior Developer Advocate Niall Deehan is joined by Senior Software Engineer Backend, Deepthi Akkoorath to learn more about this new feature and how it came to be, including the technical challenges we overcame and decisions we made, as well as what’s next for scaling Zeebe.
Zeebe, the cloud-native workflow and decision engine that powers Camunda 8, has many next-generation capabilities, including a language-agnostic approach so you can build clients in any programming language, enterprise-grade resilience, and horizontal scaling via a distributed architecture. We have further improved this last one by providing the ability to dynamically scale Zeebe brokers and are committed to further enhancing this feature in the future.
Listen to learn more about:

• How this “daisy of destiny” came to Niall’s attention
• The structure of the Zeebe team and Deepthi’s role on the Zeebe Distributed Platform Team
• What is the dynamic scaling Zeebe brokers?
• How users can dynamically add brokers
• What actually happens under the hood when dynamically scaling Zeebe
• How to scale down Zeebe
• Failover with scaling Zeebe
• What’s next for dynamic scaling

Learn more about Zeebe: https://bit.ly/3vjvslt
Get started with Camunda 8 today:
https://bit.ly/3vjM8tb
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Additional Resources:
[docs] Camunda 8 Concepts: Clusters
[docs] Zeebe Technical Concepts: Clustering
[docs] Create your cluster
[docs] Setting up a Zeebe cluster
[docs] Cluster Scaling
[github] Zeebe
[github issue] Dynamic resize of an existing Zeebe cluster
[github issue] [EPIC] Dynamic Scaling of Zeebe Cluster - Phat 1: Number of brokers
[github issue] Dynamically start and stop partitions
[blogpost] Zeebe Performance 2023 Year in Review

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Camunda enables organizations to orchestrate processes across people, systems, and devices to continuously overcome complexity and increase efficiency. With Camunda, business users and developers collaborate using BPMN to model end-to-end processes and run sophisticated automation with the speed, scale, and resilience required to stay competitive. Hundreds of enterprises such as Atlassian, ING, and Vodafone design, orchestrate, and improve business-critical processes with Camunda to accelerate digital transformation.
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Camunda presents this podcast for informational and entertainment purposes only and does not wish or intend to provide any legal, technical, or any other advice or services to the listeners of this podcast. Please see here for the full disclaimer.

Kapitel

1. Welcome (00:00:00)

2. Meet Deepthi Akkoorath, Camunda Senior Software Engineer (00:02:09)

3. What is dynamic scaling of Zeebe brokers? (00:03:44)

4. What hurdles did you overcome in building this feature? (00:09:12)

5. How long does it take to dynamically scale Zeebe? (00:14:00)

6. Is it possible to scale down Zeebe? (00:15:56)

7. What other hard programming problems did you encounter? (00:18:09)

8. Why did we go with a distributed approach? (00:21:08)

9. What can developers tell Zeebe? (00:22:24)

10. What kind of failover do we have? (00:24:14)

11. What's next for dynamic scaling? (00:26:15)

12. Sign-off (00:31:31)