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  1. WiredTiger
  2. WT-2350

Optimize file I/O for Azure and for the cloud in general

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    • Icon: Improvement Improvement
    • Resolution: Duplicate
    • Icon: Major - P3 Major - P3
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    Description

      Generally, I/O on virtual machines hosted in cloud services like AWS and Azure do not perform as fast as direct attached or SAN/NAS storage. The I/O operations themselves on cloud storage suffer from higher latency than properly tuned local storage. An observer of the VM I/O can see I/O rates drop to zero, even during periods of load being imposed by MongoDB to it's file system, a situation not expected for local storage. Given that we cannot affect how cloud storage is implemented by cloud providers, we should optimize our I/O for these cloud environments.

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            backlog-server-storage-engines Backlog - Storage Engines Team
            steven.hand Steven Hand
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