How to Achieve Geo-redundancy with Zeebe

• Camunda BPM

  17 4,003 9.4 Java

  Flexible framework for workflow and decision automation with BPMN and DMN. Integration with Quarkus, Spring, Spring Boot, CDI.

  

Bernd Ruecker is co-founder and chief technologist of Camunda as well as the author ofPractical Process Automation with O’Reilly. He likes speaking about himself in the third person. He is passionate about developer-friendly process automation technology. Connect viaLinkedIn or follow him onTwitter. As always, he loves getting your feedback. Comment below orsend him an email.

• Atomix

  1 2,347 2.2 Go

  A Kubernetes toolkit for building distributed applications using cloud native principles

  

To understand how we can achieve resilience in Zeebe, you first need to understand how Zeebe does replication. Zeebe uses distributed consensus — more specifically theRaft Consensus Algorithm — for replication.There is an awesomevisual explanation of the Raft Consensus Algorithm available online, so I will not go into all the details here. The basic idea is that there is a single leader and a set of followers. The most common setup is to have one leader and two followers, and you’ll see why soon.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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