Causal Cluster FAQ for heavy workloads

Lagging of follower instances and what causes it? The main reason for followers to fall behind is highly concurrent and continuous read/write workloads. This can cause the instances get overwhelmed which causes some extra latency in propagating the data to… Read more →

Explore:  


When to use bookmarks

Bookmarks are part of a broader topic: Causal consistency. We recommend reading the introduction to Neo4j Causal Clustering and the lifecycle of a Neo4j Causal Cluster before reading further. Pay special attention to Causal Consistency explained. Bookmarks ensure than when… Read more →

Explore:  


How to monitor if a follower is in sync with Leader (Causal Cluster)

To monitor if a Follower is in sync with its Leader, or know how much it is lagging behind, it is possible to check the Last Commited Transaction Id from Leader and Follower. Last Commited Transaction Id can be assessed… Read more →

Explore: