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What kind of I/O backend are you using? It is a mechanical or flash (SSD) one? In the case of mechanical backend, what you are observing is the expected behavior: Postgres is a synchronized-write heavy application, and this mean that even if you increase the running threads, the in-flight writes (queue depth) will stay low. At the same time, you are ...


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You can check this in cloudwatch Check for EBS Metrics and choose VolumeWriteOps (Metric Name) take any sample from the graph for e.g. Data-point : 152398 at 2011-02-10T07:54+0000 (Any highest count from the graph) so it means 152398 IOPS for 10 mins intervel calculate this for 1 min 152398 IOPS / 10 minutes = 15239.8 IOPS/minute then calculate ...


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Due to how MLC SSDs work, they need a decently-sized local DRAM cache to absorb incoming writes while simultaneously write to the backing NAND. However, hardware RAID cards often disable the disk's cache and exclusively rely on own (on-card) DRAM cache. While this is not a problem with classic HDD, the intrinsic not-overwriting nature of NAND chips (and ...



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