Which is determined by the number of provisioned SSD IOPS configured on the file system. SSD IOPS and performanceĭata accessed from disk is also subject to the performance of those underlying disks, Then you can drive up to 2x the throughput than you could if the data were uncompressed.ĭata compression. However, because data compression reduces the amount of data that needs to be transferredĪs disk I/O, you can often deliver higher levels of effective throughput for compressed data.įor example, if your data is compressed to be 50% smaller (that is, a compression ratio of 2), The previous table shows your file system’s throughput capacity for uncompressed data. Performance of FSx for OpenZFS file systems, by provisioned throughput capacity: The following table shows the cached read Two components: the performance supported by the client-server network I/O connection,Īnd the size of the in-memory cache.
The performance when accessing (reads) data from the in-memory ARC cache primarily depends on Provisioned SSD disk IOPS configured for the file For data access fromĭisks, your file system’s performance is also dependent on the number of The size of the file server hosting the file system and is equivalent to theīaseline disk throughput supported by your file server. Its provisioned throughput capacity, which determines The specific level of performance a file system can provide is defined by We also document the baseline performance you can always deliver,Īs well as the burst performance you can drive for short periods of time. You can expect for data accessed from the in-memory cache and data accessedįrom disk. In this section, we document the performance File system performanceįile system performance is typically measured in latency, throughput, and Mechanism to allocate throughput and IOPS based on average utilization - file systemsĪccrue credits when their throughput and IOPS usage is below their baseline limits,Īnd can use these credits when they perform I/O operations.
Time for both network I/O and disk I/O operations. Provides the capability to burst to higher speeds for periods of To the baseline speeds that a file system can sustain 24/7, Amazon FSx High I/O with plenty of idle time between bursts. The following diagram illustrates how data is accessedįile-based workloads are typically spiky, characterized by short, intense periods of Which means that clients can drive greater throughput and IOPS with lower latencies forįrequently accessed data in cache. To the client as network I/O data read from disk is also subject to the IOPS and bandwidthįSx for OpenZFS file systems can serve network I/O about three times faster than disk I/O, In file server memory, it is read from disk as disk I/O and then served Need to read it from disk and the data is served directly from file server memory to the When a client accesses data that's stored in the in-memory cache, the file server doesn't The portion of data access driven from the in-memory cache. FSx for OpenZFS utilizesĪn Adaptive Replacement Cache (ARC) that is built into the OpenZFS file system, which improves Each file server employs a fast, in-memoryĬache to enhance performance for the most frequently accessed data. Truenas failed with error 2.Each FSx for OpenZFS file system consists of the file server that clients communicate with,Īnd a set of disks attached to that file server.