| Measurement |
Description |
Measurement Unit |
Interpretation |
| Read_bytes |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the amount of data that on-premise applications read from this storage gateway for all volumes in the gateway.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the amount of data that was read from this volume by on-premise applications. |
KB |
If the value of these measures is consistently low for any gateway/volume, it indicates low throughput.
Here are some recommended best practices for optimizing gateway performance:
Add high performance disks such as solid-state drives (SSDs) and a NVMe controller.
Attach virtual disks to your VM directly from a storage area network (SAN) instead of the Microsoft Hyper-V NTFS.
Confirm that the virtual processors that are assigned to the gateway VM are backed by an equal number of cores and that you are not oversubscribing the CPUs of the host server.
You can add additional CPUs to the gateway host server.
When you provision disks in a gateway setup, we strongly recommend that you do not provision local disks for the upload buffer and cache storage that use the same underlying physical storage disk.
For volumes gateways, if you find that adding more volumes to a gateway reduces the throughput to the gateway, consider adding the volumes to a separate gateway. In particular, if a volume is used for a high-throughput application, consider creating a separate gateway for the high-throughput application. However, as a general rule, you should not use one gateway for all of your high-throughput applications and another gateway for all of your low-throughput applications.
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| Write_bytes |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the amount of data that on-premise applications wrote into this storage gateway for all volumes in the gateway.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the amount of data read that was written into this volume by on-premise applications. |
KB |
| Read_time |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the time taken by on-premise applications read from storage volumes in this gateway.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the time taken by on-premise applications to read from this volume. |
Secs |
An abnormally high value for these measures indicates an I/O processing bottleneck. You may want to investigate the slowdown further and isolate its root-cause. The best practices discussed in the Interpretation of the Read data and Write data measure can be employed to optimize gateway performance and avert such anomalies. |
| Write_time |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the time taken by on-premise applications to write into all storage volumes in this gateway.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the time taken by on-premise applications to write into this volume. |
Secs |
| Queue_writes |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the amount of data waiting to be written to all volumes of this gateway.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the amount of data waiting to be written to this volume. |
KB |
A high value of this measure or a steady increase in the value of this measure for a storage gateway/volume could indicate an I/O processing bottleneck. |
| Cloud_byte_download |
Indicates the amount of compressed data that all volumes of this gateway downloaded from AWS. |
KB |
This measure is reported only for each storage gateway, and not for each volume. |
| Cloud_byte_upload |
Indicates the amount of compressed data that all volumes of this gateway uploaded to AWS. |
KB |
This measure is reported only for each storage gateway, and not for each volume. |
| Work_store_percent |
Indicates the percent usage of this gateway's upload buffer. |
Percent |
This measure is reported only for cached volume gateways and tape gateways.
To prepare for upload to Amazon S3, a cached volume gateway and/or a tape gateway stores incoming data in a staging area, referred to as an upload buffer. Your gateway uploads this buffer data over an encrypted Secure Sockets Layer (SSL) connection to AWS, where it is stored encrypted in Amazon S3.
A value close to 100% for this measure indicates that the disk used by the storage gateway as the upload buffer is running out of space. This can happen if the gateway is unable to write data to Amazon S3 at the same pace at which it writes to the buffer. This in turn implies a bottleneck when uploading.
This can also happen if the disk is not sized right. The minimum disk space recommendation for the working storage upload buffer is 150 GiB and the maximum is 2 TiB. |
| Work_store_used |
Indicates the total number of bytes being used in this gateway's upload buffer. |
KB |
This measure is reported only for cached volume gateways and tape gateways. |
| Work_store_free |
Indicates the total amount of unused space in this gateway's working storage. |
KB |
This measure is reported only for cached volume gateways and tape gateways. |
| Upload_buff_free |
Indicates the total amount of unused space in this stored volume gateway's upload buffer. |
KB |
This measure is reported only for stored volume gateways.
To prepare for upload to Amazon S3, a stored volume gateway stores incoming data in a staging area, referred to as an upload buffer/working storage. Your gateway uploads this buffer data over an encrypted Secure Sockets Layer (SSL) connection to AWS, where it is stored encrypted in Amazon S3.
Adequate free space should be available in the working storage to enable the gateway to store all the incoming data before upload. A high value is hence desired for this measure. The minimum disk space recommendation for the working storage is 150 GiB and the maximum is 2 TiB. |
| Upload_buff_perc=Data usage of gateway's upload buffer |
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| Upload_buff_used=Data used in gateway's upload buffer |
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| Cache_hit_perc |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the percentage of application reads served from this gateway's cache.
If the GATEWAY FILTER NAME is set to VolumeID, then this measure will report the percentage of read operations from this volume that are served from the cache. |
Percent |
Ideally, the value of this measure should be above 80%. If not, then it means that many read requests are being serviced by directly accessing the data in AWS. This can increase I/O overheads and adversely impact application performance. |
| Cache_perc_used |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the percent usage of this gateway's cache.
If the GATEWAY FILTER NAME parameter is set to VolumeID, then this measure reports what percentage of the gateway's cache storage is used by this volume. |
Percent |
If the value of this measure grows steadily close to 100%, it denotes the excessive usage of that gateway's cache storage.
If the value of this measure is close to 100% for a volume, it implies that a particular volume is taking up too much cache space.
If the gateway's cache storage runs out of space, then the cache will no longer be able to hold frequently-accessed objects; this in turn will increase cache misses and related overheads. This is why, the cache storage has to be sized rightly. The recommended minimum cache size is 150 GiB and the maximum is 16 TiB. |
| Cache_perc_dirty |
If the GATEWAY FILTER NAME parameter is set to GatewayID, then this measure reports the percentage of this gateway's cache that has not been persisted to AWS.
If the GATEWAY FILTER NAME parameter is set to VolumeID, then this measure reports what percentage of the gateway's cache storage has not been persisted to this volume of AWS. |
Percent |
As your applications write data to the storage volumes in AWS, the gateway initially stores the data on the cache storage before uploading the data to Amazon S3.
The value of this measure represents the amount of cached data that is yet to be uploaded to Amazon S3. If this value is very high, it could indicate that the gateway is having trouble uploading data to AWS. You may want to investigate the reasons for the same. In the process, you may also want to configure this test to report metrics and volume, and identify the exact volume on AWS to which maximum data has not been uploaded. |
| Tot_cache_size |
Indicates the amount of data stored in this gateway's cache. |
KB |
This measure is reported only for each storage gateway, and not for each volume. |
| Time_recover |
Indicates the time since the last available recovery point of this gateway's cache storage. |
Secs |
This measure is reported only for each storage gateway, and not for each volume.
A volume recovery point is a point in time at which all data of the volume is consistent. You can clone a volume or create a snapshot of it from its recovery point. |
| Cache_used |
Indicates the amount of data being used in this gateway's cache storage. |
KB |
This measure is reported only for each storage gateway, and not for each volume. |
| Cache_free |
Indicates the total amount of unused space in this gateway's cache storage. |
KB |
This measure is reported only for each storage gateway, and not for each volume.
Ideally, the value of this measure should be high. |