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Case studyData engineering & the warehouse/lakehouseConfluentAmazon
AWS Big Data Blog · Read source ↗

Confluent has optimized its Amazon OpenSearch Service by transitioning from r6gd to the oi2 instance family, resulting in a 46% reduction in nodes and doubling the speed of indexing. This shift has decreased write backpressure and costs, despite a higher per-node price.

MyDataWork POV — The alarming part of Confluent's move is the potential fragility introduced by cutting nodes so drastically. While the performance gains are impressive, a 46% reduction in node count raises concerns about system resilience and fault tolerance. If a smaller fleet faces unexpected load spikes or failures, the risk of service disruption could outweigh the cost savings. Organizations must weigh these risks carefully before following suit.
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