Investigate Kafka ingestion time results from volume test run on 2216 build

CASE A

1. Load 50 million documents in Mongo collection.
2. Create Confluent Kafka topic against the Mongo collection created in previous step.
3. Deploy a 4 node Columnar instance with 8vCPUs and 64GB memory quota.
4. Create pair of Kafka links and 5 collections on each of the 2 links.
5. Connect both links.
6. While data ingestion is happening perform multiple scaling operations in a loop.
   Logs - https://supportal.couchbase.com/snapshot/0bd616af280a305a6bac473e47024bd3::0

CASE B

1. Load 50 million documents in Mongo collection.
2. Create Confluent Kafka topic against the Mongo collection created in previous step.
3. Deploy a 4 node Columnar instance with 8vCPUs and 64GB memory quota.
4. Create 4 Kafka links and 10 collections on each of the 4 links.
5. Connect all 4 links.
6. While data ingestion is happening perform multiple scaling operations in a loop.
   Logs - https://supportal.couchbase.com/snapshot/1d7b4c4370cbb58bd180968aeab5cb04::0

Observation

Data ingestion completed faster in second case which is weird. Raising this ticket to analyse this descrepancy.