Dear ArangoDB Google Group,

I hope this message finds you well. I am writing to seek assistance and 
insights regarding the memory usage within our ArangoDB cluster. We are 
currently experiencing variations in memory consumption across different 
nodes in our cluster, and we would appreciate your expertise in addressing 
this issue.

Here is an overview of our cluster's configuration and the specific 
concerns we have:

Cluster Overview:

   - ArangoDB Version: 3.5.2
   - 6 Nodes in the cluster
   - Each collection consists of 12 shards with a replication factor of 2
   - Each node is equipped with 128GB of RAM

Specific Concerns:

   1. 
   
   Some nodes are consistently maintaining RAM usage between 80-90%, while 
   others remain in the range of 40-50%. We are concerned about the disparity 
   in memory consumption among nodes.
   2. 
   
   The largest collection contains approximately 150 million documents, 
   while the total data volume across all collections in the cluster is around 
   400-450 million documents.
   3. 
   
   Interestingly, we noticed that the three nodes serving as Agency roles 
   are among the ones with higher memory usage. We are curious if there is any 
   correlation between the Agency roles and high memory consumption.
   4. 
   
   When inspecting the distribution of primary shards across nodes, we 
   observed that nodes with lower memory usage tend to host fewer primary 
   shards. We wonder if there is a relationship between the distribution of 
   primary shards and memory usage.
   5. 
   
   In an attempt to address the memory issues, we manually initiated data 
   shard migration from the heavily loaded nodes to the less busy ones. 
   However, the results were not as effective as expected. We would appreciate 
   any guidance or best practices for optimizing shard migrations within our 
   cluster.
   
We believe that your valuable insights and suggestions can help us better 
understand and address the memory-related challenges we are currently 
facing. Any advice, recommendations, or potential explanations for the 
observed behavior would be greatly appreciated.

Thank you for your time and assistance. We look forward to your response 
and any support you can provide in optimizing our ArangoDB cluster's 
performance.

Best regards,

Kevin

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