Amazon EBS volume performance - Amazon EBS
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Amazon EBS volume performance

Several factors, including I/O characteristics and the configuration of your instances and volumes, can affect the performance of Amazon EBS. If you follow the guidance on our Amazon EBS and Amazon EC2 product detail pages you'll usually achieve good performance. However, there are some cases where you might need to do some tuning to achieve peak performance. We recommend that you tune performance with information from your actual workload, in addition to benchmarking, to determine your optimal configuration. After you learn the basics of working with EBS volumes, it's a good idea to look at the I/O performance you require and at your options for increasing Amazon EBS performance to meet those requirements.

Amazon updates to the performance of EBS volume types might not immediately take effect on your existing volumes. To see full performance on an older volume, you might first need to perform a ModifyVolume action on it. For more information, see Modify a volume using Amazon EBS Elastic Volumes.

Amazon EBS performance tips

These tips represent best practices for getting optimal performance from your EBS volumes in a variety of user scenarios.

Use EBS-optimized instances

On instances without support for EBS-optimized throughput, network traffic can contend with traffic between your instance and your EBS volumes; on EBS-optimized instances, the two types of traffic are kept separate. Some EBS-optimized instance configurations incur an extra cost (such as C3, R3, and M3), while others are always EBS-optimized at no extra cost (such as M4, C4, C5, and D2). For more information, see Optimize Amazon EBS performance.

Understand how performance is calculated

When you measure the performance of your EBS volumes, it is important to understand the units of measure involved and how performance is calculated. For more information, see Amazon EBS I/O characteristics and monitoring.

Understand your workload

There is a relationship between the maximum performance of your EBS volumes, the size and number of I/O operations, and the time it takes for each action to complete. Each of these factors (performance, I/O, and latency) affects the others, and different applications are more sensitive to one factor or another. For more information, see Benchmark EBS volumes.

Be aware of the performance penalty When initializing volumes from snapshots

There is a significant increase in latency when you first access each block of data on a new EBS volume that was created from a snapshot. You can avoid this performance hit using one of the following options:

  • Access each block prior to putting the volume into production. This process is called initialization (formerly known as pre-warming). For more information, see Initialize Amazon EBS volumes.

  • Enable fast snapshot restore on a snapshot to ensure that the EBS volumes created from it are fully-initialized at creation and instantly deliver all of their provisioned performance. For more information, see Amazon EBS fast snapshot restore.

Factors that can degrade HDD performance

When you create a snapshot of a Throughput Optimized HDD (st1) or Cold HDD (sc1) volume, performance may drop as far as the volume's baseline value while the snapshot is in progress. This behavior is specific to these volume types. Other factors that can limit performance include driving more throughput than the instance can support, the performance penalty encountered while initializing volumes created from a snapshot, and excessive amounts of small, random I/O on the volume. For more information about calculating throughput for HDD volumes, see Amazon EBS volume types.

Your performance can also be impacted if your application isn’t sending enough I/O requests. This can be monitored by looking at your volume’s queue length and I/O size. The queue length is the number of pending I/O requests from your application to your volume. For maximum consistency, HDD-backed volumes must maintain a queue length (rounded to the nearest whole number) of 4 or more when performing 1 MiB sequential I/O. For more information about ensuring consistent performance of your volumes, see Amazon EBS I/O characteristics and monitoring

Increase read-ahead for high-throughput, read-heavy workloads on st1 and sc1 (Linux instances only)

Some workloads are read-heavy and access the block device through the operating system page cache (for example, from a file system). In this case, to achieve the maximum throughput, we recommend that you configure the read-ahead setting to 1 MiB. This is a per-block-device setting that should only be applied to your HDD volumes.

To examine the current value of read-ahead for your block devices, use the following command:

[ec2-user ~]$ sudo blockdev --report /dev/<device>

Block device information is returned in the following format:

RO RA SSZ BSZ StartSec Size Device rw 256 512 4096 4096 8587820544 /dev/<device>

The device shown reports a read-ahead value of 256 (the default). Multiply this number by the sector size (512 bytes) to obtain the size of the read-ahead buffer, which in this case is 128 KiB. To set the buffer value to 1 MiB, use the following command:

[ec2-user ~]$ sudo blockdev --setra 2048 /dev/<device>

Verify that the read-ahead setting now displays 2,048 by running the first command again.

Only use this setting when your workload consists of large, sequential I/Os. If it consists mostly of small, random I/Os, this setting will actually degrade your performance. In general, if your workload consists mostly of small or random I/Os, you should consider using a General Purpose SSD (gp2 and gp3) volume rather than an st1 or sc1 volume.

Use a modern Linux kernel (Linux instances only)

Use a modern Linux kernel with support for indirect descriptors. Any Linux kernel 3.8 and above has this support, as well as any current-generation EC2 instance. If your average I/O size is at or near 44 KiB, you may be using an instance or kernel without support for indirect descriptors. For information about deriving the average I/O size from Amazon CloudWatch metrics, see Amazon EBS I/O characteristics and monitoring.

To achieve maximum throughput on st1 or sc1 volumes, we recommend applying a value of 256 to the xen_blkfront.max parameter (for Linux kernel versions below 4.6) or the xen_blkfront.max_indirect_segments parameter (for Linux kernel version 4.6 and above). The appropriate parameter can be set in your OS boot command line.

For example, in an Amazon Linux AMI with an earlier kernel, you can add it to the end of the kernel line in the GRUB configuration found in /boot/grub/menu.lst:

kernel /boot/vmlinuz-4.4.5-15.26.amzn1.x86_64 root=LABEL=/ console=ttyS0 xen_blkfront.max=256

For a later kernel, the command would be similar to the following:

kernel /boot/vmlinuz-4.9.20-11.31.amzn1.x86_64 root=LABEL=/ console=tty1 console=ttyS0 xen_blkfront.max_indirect_segments=256

Reboot your instance for this setting to take effect.

For more information, see Configure GRUB for paravirtual AMIs. Other Linux distributions, especially those that do not use the GRUB boot loader, may require a different approach to adjusting the kernel parameters.

Use RAID 0 to maximize utilization of instance resources

Some instance types can drive more I/O throughput than what you can provision for a single EBS volume. You can join multiple volumes together in a RAID 0 configuration to use the available bandwidth for these instances. For more information, see Amazon EBS and RAID configuration.

Track performance using Amazon CloudWatch

Amazon Web Services provides performance metrics for Amazon EBS that you can analyze and view with Amazon CloudWatch and status checks that you can use to monitor the health of your volumes. For more information, see Monitor your Amazon EBS volumes.