Ultra-high I/O ECSs
Overview
Ultra-high I/O ECSs use high-performance local NVMe SSDs to provide high storage input/output operations per second (IOPS) and low read/write latency. You can create such ECSs on the management console.
Hyper-threading is enabled for this type of ECSs by default. Each vCPU is a thread of a CPU core.
Available now: D7i, Ir7, I7, aI7, I7n, Ir7n, Ir3, and I3
Series |
Compute |
Disk Type |
Network |
---|---|---|---|
D7i |
|
|
|
Ir7 |
|
|
|
I7 |
|
|
|
aI7 |
|
|
|
Ir7n |
|
|
|
I7n |
|
|
|
Ir3 |
|
|
|
I3 |
|
|
|
Ultra-high I/O D7i
Overview
Each D7i ECS uses the third-generation Intel® Xeon® Scalable processor and large-capacity high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB)
- ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Max. NICs |
Max. Supplementary NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|---|
d7i.2xlarge.4 |
8 |
32 |
10/3 |
120 |
100 |
4 |
4 |
64 |
1 × 15360GiB NVMe |
KVM |
d7i.4xlarge.4 |
16 |
64 |
15/6 |
200 |
150 |
4 |
6 |
96 |
2 × 15360GiB NVMe |
KVM |
d7i.8xlarge.4 |
32 |
128 |
25/12 |
400 |
300 |
8 |
8 |
192 |
4 × 15360GiB NVMe |
KVM |
d7i.12xlarge.4 |
48 |
192 |
30/18 |
500 |
400 |
16 |
8 |
256 |
6 × 15360GiB NVMe |
KVM |
d7i.16xlarge.4 |
64 |
256 |
35/24 |
600 |
500 |
16 |
8 |
256 |
8 × 15360GiB NVMe |
KVM |
d7i.24xlarge.4 |
96 |
384 |
44/36 |
800 |
800 |
32 |
8 |
256 |
12 × 15360GiB NVMe |
KVM |
Ultra-high I/O Ir7
Overview
Each Ir7 ECS uses the third-generation Intel® Xeon® Scalable processor and two small-capacity high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB)
- ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Max. NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|
ir7.large.4 |
2 |
8 |
3/0.8 |
40 |
50 |
2 |
3 |
2 × 50 |
KVM |
ir7.xlarge.4 |
4 |
16 |
6/1.5 |
80 |
50 |
2 |
3 |
2 × 100 |
KVM |
ir7.2xlarge.4 |
8 |
32 |
15/3.1 |
150 |
100 |
4 |
4 |
2 × 200 |
KVM |
ir7.4xlarge.4 |
16 |
64 |
20/6.2 |
300 |
150 |
4 |
6 |
2 × 400 |
KVM |
ir7.8xlarge.4 |
32 |
128 |
30/12 |
400 |
300 |
8 |
8 |
2 × 800 |
KVM |
ir7.16xlarge.4 |
64 |
256 |
40/25 |
600 |
500 |
16 |
8 |
2 × 1,600 |
KVM |
Ultra-high I/O I7
Overview
Each I7 ECS uses the third-generation Intel® Xeon® Scalable processor and large-capacity high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB) and ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Max. NICs |
Max. Supplementary NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|---|
i7.2xlarge.4 |
8 |
32 |
10/3 |
120 |
100 |
4 |
4 |
64 |
1 × 1,600 GiB NVMe |
KVM |
i7.4xlarge.4 |
16 |
64 |
15/6 |
200 |
150 |
4 |
6 |
96 |
2 × 1,600 GiB NVMe |
KVM |
i7.8xlarge.4 |
32 |
128 |
25/12 |
400 |
300 |
8 |
8 |
192 |
4 × 1,600 GiB NVMe |
KVM |
i7.12xlarge.4 |
48 |
192 |
30/18 |
500 |
400 |
16 |
8 |
256 |
6 × 1,600 GiB NVMe |
KVM |
i7.16xlarge.4 |
64 |
256 |
35/24 |
600 |
500 |
16 |
8 |
256 |
8 × 1,600 GiB NVMe |
KVM |
i7.24xlarge.4 |
96 |
384 |
44/36 |
800 |
800 |
32 |
8 |
256 |
12 × 1,600 GiB NVMe |
KVM |
i7.2xlarge.8 |
8 |
64 |
10/3 |
120 |
100 |
4 |
4 |
64 |
1 × 1,600 GiB NVMe |
KVM |
i7.4xlarge.8 |
16 |
128 |
15/6 |
200 |
150 |
4 |
6 |
96 |
2 × 1,600 GiB NVMe |
KVM |
i7.8xlarge.8 |
32 |
256 |
25/12 |
400 |
300 |
8 |
8 |
192 |
4 × 1,600 GiB NVMe |
KVM |
i7.12xlarge.8 |
48 |
384 |
30/18 |
500 |
400 |
16 |
8 |
256 |
6 × 1,600 GiB NVMe |
KVM |
i7.16xlarge.8 |
64 |
512 |
35/24 |
600 |
500 |
16 |
8 |
256 |
8 × 1,600 GiB NVMe |
KVM |
i7.24xlarge.8 |
96 |
768 |
44/36 |
800 |
800 |
32 |
8 |
256 |
12 × 1,600 GiB NVMe |
KVM |
Ultra-high I/O aI7
Overview
aI7 ECSs use the next-generation scalable processor and large-capacity high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB) and ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Max. NIC Queues |
Max. NICs |
Max. Supplementary NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|
ai7.2xlarge.8 |
8 |
64 |
4/2.5 |
100 |
8 |
8 |
64 |
1 × 1,600 GiB NVMe |
KVM |
ai7.4xlarge.8 |
16 |
128 |
8/5 |
200 |
16 |
8 |
128 |
2 × 1,600 GiB NVMe |
KVM |
ai7.8xlarge.8 |
32 |
256 |
15/8 |
300 |
16 |
8 |
256 |
4 × 1,600 GiB NVMe |
KVM |
ai7.12xlarge.8 |
48 |
384 |
22/12 |
400 |
16 |
8 |
256 |
6 × 1,600 GiB NVMe |
KVM |
ai7.16xlarge.8 |
64 |
512 |
28/16 |
550 |
24 |
12 |
256 |
8 × 1,600 GiB NVMe |
KVM |
ai7.24xlarge.8 |
96 |
768 |
40/25 |
800 |
24 |
12 |
256 |
12 × 1,600 GiB NVMe |
KVM |
Ultra-high I/O Ir7n
Overview
Ir7n ECSs use the 3rd Generation Intel® Xeon® Scalable processors to offer powerful and stable computing performance, 25GE high-speed intelligent NICs to support ultra-high network bandwidth and PPS, and high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB)
- ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Max. NICs |
Max. Supplementary NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|---|
ir7n.large.4 |
2 |
8 |
3/0.9 |
40 |
50 |
2 |
3 |
32 |
2 × 50 |
KVM |
ir7n.xlarge.4 |
4 |
16 |
6/1.8 |
80 |
50 |
2 |
3 |
32 |
2 × 100 |
KVM |
ir7n.2xlarge.4 |
8 |
32 |
15/3.6 |
150 |
100 |
4 |
4 |
64 |
2 × 200 |
KVM |
ir7n.4xlarge.4 |
16 |
64 |
20/7.3 |
300 |
150 |
4 |
6 |
96 |
2 × 400 |
KVM |
ir7n.8xlarge.4 |
32 |
128 |
30/14.5 |
400 |
300 |
8 |
8 |
192 |
2 × 800 |
KVM |
ir7n.16xlarge.4 |
64 |
256 |
40/29 |
600 |
500 |
16 |
8 |
256 |
2 × 1,600 |
KVM |
Ultra-high I/O I7n
Overview
I7n ECSs use 3rd Intel® Xeon® Scalable processors and high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB) and ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Max. NICs |
Max. Supplementary NICs |
Local Disks (GiB) |
Virtualization |
---|---|---|---|---|---|---|---|---|---|---|
i7n.2xlarge.4 |
8 |
32 |
10/3.4 |
120 |
100 |
4 |
4 |
64 |
1 × 1,600 GiB NVMe |
KVM |
i7n.4xlarge.4 |
16 |
64 |
15/6.7 |
200 |
150 |
4 |
6 |
96 |
2 × 1,600 GiB NVMe |
KVM |
i7n.8xlarge.4 |
32 |
128 |
25/13.5 |
400 |
300 |
8 |
8 |
192 |
4 × 1,600 GiB NVMe |
KVM |
i7n.12xlarge.4 |
48 |
192 |
30/20 |
500 |
400 |
16 |
8 |
256 |
6 × 1,600 GiB NVMe |
KVM |
i7n.16xlarge.4 |
64 |
256 |
35/27 |
600 |
500 |
16 |
8 |
256 |
8 × 1,600 GiB NVMe |
KVM |
i7n.24xlarge.4 |
96 |
420 |
44/40 |
800 |
800 |
32 |
8 |
256 |
12 × 1,600 GiB NVMe |
KVM |
i7n.2xlarge.8 |
8 |
64 |
10/3.4 |
120 |
100 |
4 |
4 |
64 |
1 × 1,600 GiB NVMe |
KVM |
i7n.4xlarge.8 |
16 |
128 |
15/6.7 |
200 |
150 |
4 |
6 |
96 |
2 × 1,600 GiB NVMe |
KVM |
i7n.8xlarge.8 |
32 |
256 |
25/13.5 |
400 |
300 |
8 |
8 |
192 |
4 × 1,600 GiB NVMe |
KVM |
i7n.12xlarge.8 |
48 |
384 |
30/20 |
500 |
400 |
16 |
8 |
256 |
6 × 1,600 GiB NVMe |
KVM |
i7n.16xlarge.8 |
64 |
512 |
35/27 |
600 |
500 |
16 |
8 |
256 |
8 × 1,600 GiB NVMe |
KVM |
i7n.24xlarge.8 |
96 |
768 |
44/40 |
800 |
800 |
32 |
8 |
256 |
12 × 1,600 GiB NVMe |
KVM |
Ultra-high I/O Ir3
Overview
Ir3 ECSs use 2nd Generation Intel® Xeon® Scalable processors to offer powerful and stable computing performance, 25GE high-speed intelligent NICs to support ultra-high network bandwidth and PPS, and high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB)
- ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Network Connections (10,000) |
Max. NIC Queues |
Local Disks (GiB) |
Max. NICs |
Virtualization |
---|---|---|---|---|---|---|---|---|---|
ir3.large.4 |
2 |
8 |
4/1.2 |
40 |
50 |
2 |
2 × 50 |
2 |
KVM |
ir3.xlarge.4 |
4 |
16 |
8/2.4 |
80 |
50 |
2 |
2 × 100 |
3 |
KVM |
ir3.2xlarge.4 |
8 |
32 |
15/4.5 |
140 |
100 |
4 |
2 × 200 |
4 |
KVM |
ir3.4xlarge.4 |
16 |
64 |
20/9 |
250 |
150 |
8 |
2 × 400 |
8 |
KVM |
ir3.8xlarge.4 |
32 |
128 |
30/18 |
450 |
300 |
16 |
2 × 800 |
8 |
KVM |
Ultra-high I/O I3
Overview
I3 ECSs use Intel® Xeon® Scalable processors and high-performance local NVMe SSDs to provide high storage IOPS and low read/write latency.
Notes
For details, see Notes.
Scenarios
- High-performance relational databases.
- NoSQL databases (such as Cassandra and MongoDB) and ElasticSearch
Specifications
Flavor |
vCPUs |
Memory (GiB) |
Max./Assured Bandwidth (Gbit/s) |
Max. PPS (10,000) |
Max. NIC Queues |
Local Disks (GiB) |
Max. NICs |
Virtualization |
---|---|---|---|---|---|---|---|---|
i3.2xlarge.8 |
8 |
64 |
2.5/2.5 |
100 |
4 |
1 × 1,600 GiB NVMe |
4 |
KVM |
i3.4xlarge.8 |
16 |
128 |
5/5 |
150 |
4 |
2 × 1,600 GiB NVMe |
8 |
KVM |
i3.8xlarge.8 |
32 |
256 |
10/10 |
200 |
8 |
4 × 1,600 GiB NVMe |
8 |
KVM |
i3.12xlarge.8 |
48 |
384 |
15/15 |
240 |
8 |
6 × 1,600 GiB NVMe |
8 |
KVM |
i3.15xlarge.8 |
60 |
512 |
25/25 |
500 |
16 |
7 × 1,600 GiB NVMe |
8 |
KVM |
i3.16xlarge.8 |
64 |
512 |
25/25 |
500 |
16 |
8 × 1,600 GiB NVMe |
8 |
KVM |
Scenarios
- Ultra-high I/O ECSs are suitable for high-performance relational databases.
- Ultra-high I/O ECSs are suitable for NoSQL databases (such as Cassandra and MongoDB) and ElasticSearch.
Local Disk Performance
Table 10 and Table 11 list the IOPS performance of local disks and specifications of a single local disk attached to a D7i ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
d7i.2xlarge.4 |
960,000 |
d7i.4xlarge.4 |
1,920,000 |
d7i.8xlarge.4 |
3,840,000 |
d7i.12xlarge.4 |
5,760,000 |
d7i.16xlarge.4 |
7,680,000 |
d7i.24xlarge.4 |
11,520,000 |
Metric |
Performance |
---|---|
Disk capacity |
15.36 TB |
IOPS for random 4 KB read |
960,000 |
IOPS for random 4 KB write |
750000 |
Read throughput |
4.3 GiB/s |
Write throughput |
3.8 GiB/s |
Access latency |
Within microseconds |
Table 12 lists the IOPS performance of local disks attached to an Ir7 ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
ir7.large.4 |
28,125 |
ir7.xlarge.4 |
56,250 |
ir7.2xlarge.4 |
112,500 |
ir7.4xlarge.4 |
225,000 |
ir7.8xlarge.4 |
450,000 |
ir7.16xlarge.4 |
900,000 |
Table 13 and Table 14 list the IOPS performance of local disks and specifications of a single local disk attached to an I7 ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
i7.2xlarge.4 |
900,000 |
i7.4xlarge.4 |
1,800,000 |
i7.8xlarge.4 |
3,600,000 |
i7.12xlarge.4 |
5,400,000 |
i7.16xlarge.4 |
7,200,000 |
i7.24xlarge.4 |
10,800,000 |
Metric |
Performance |
---|---|
Disk capacity |
1.6 TB |
IOPS for random 4 KB read |
900,000 |
IOPS for random 4 KB write |
250,000 |
Read throughput |
6.2 GiB/s |
Write throughput |
2.1 GiB/s |
Access latency |
Within microseconds |
Table 15 and Table 16 list the IOPS performance of local disks and specifications of a single local disk attached to an aI7 ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
ai7.2xlarge.8 |
900,000 |
ai7.16xlarge.8 |
7,200,000 |
ai7.24xlarge.8 |
10,800,000 |
Metric |
Performance |
---|---|
Disk capacity |
1.6 TB |
IOPS for random 4 KB read |
900,000 |
IOPS for random 4 KB write |
200,000 |
Read throughput |
6.6 GiB/s |
Write throughput |
2 GiB/s |
Access latency |
Within microseconds |
Table 17 lists the IOPS performance of local disks attached to an Ir7n ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
ir7n.large.4 |
28,125 |
ir7n.xlarge.4 |
56,250 |
ir7n.2xlarge.4 |
112,500 |
ir7n.4xlarge.4 |
225,000 |
ir7n.8xlarge.4 |
450,000 |
ir7n.16xlarge.4 |
900,000 |
Table 18 and Table 19 list the IOPS performance of local disks and specifications of a single local disk attached to an I7n ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
i7n.2xlarge.4 |
900,000 |
i7n.8xlarge.4 |
3,600,000 |
i7n.12xlarge.4 |
5,400,000 |
i7n.16xlarge.4 |
7,200,000 |
i7n.24xlarge.4 |
10,800,000 |
Metric |
Performance |
---|---|
Disk capacity |
1.6 TB |
IOPS for random 4 KB read |
900,000 |
IOPS for random 4 KB write |
250,000 |
Read throughput |
6.2 GiB/s |
Write throughput |
2.1 GiB/s |
Access latency |
Within microseconds |
Table 20 lists the IOPS performance of local disks attached to an Ir3 ECS.
Flavor |
Maximum IOPS for Random 4 KB Read |
---|---|
ir3.large.4 |
25,000 |
ir3.xlarge.4 |
50,000 |
ir3.2xlarge.4 |
100,000 |
ir3.4xlarge.4 |
200,000 |
ir3.8xlarge.4 |
400,000 |
Table 21 and Table 22 list the IOPS performance of local disks and specifications of a single local disk attached to an I3 ECS.
Notes
- For details about the OSs supported by an ultra-high I/O ECS, see OSs Supported by Different Types of ECSs.
- If the host where an ultra-high I/O ECS is deployed is faulty, the ECS cannot be restored through live migration.
- If the host is faulty or subhealthy, you need to stop the ECS for hardware repair.
- In case of system maintenance or hardware faults, the ECS will be redeployed (to ensure HA) and cold migrated to another host. The local disk data of the ECS will not be retained.
- Ultra-high I/O ECSs do not support specifications change.
- Ultra-high I/O ECSs do not support local disk snapshots or backups.
- Ultra-high I/O ECSs can use local disks, and can also have EVS disks attached to provide a larger storage size. Note the following when using the two types of storage media:
- Only an EVS disk, not a local disk, can be used as the system disk of an ultra-high I/O ECS.
- Both EVS disks and local disks can be used as data disks of an ultra-high I/O ECS.
- An ultra-high I/O ECS can have a maximum of 60 attached disks (including VBD, SCSI, and local disks).
- Modify the fstab file to set automatic disk mounting at ECS start. For details, see Configuring Automatic Mounting at System Start.
- The local disk data of an ultra-high I/O ECS if an exception occurs, such as physical server breakdown or local disk damage. If your application does not use the data reliability architecture, it is a good practice to use EVS disks to build your ECS.
- When an ultra-high I/O ECS is deleted, the data on local NVMe SSDs will also be automatically deleted, which can take some time. As a result, an ultra-high I/O ECS takes a longer time than other ECSs to be deleted. Back up the data before deleting such an ECS.
- The data reliability of local disks depends on the reliability of physical servers and hard disks, which are SPOF-prone. It is a good practice to use data redundancy mechanisms at the application layer to ensure data availability. Use EVS disks to store service data that needs to be stored for a long time.
- The device name of a local disk attached to an ultra-high I/O ECS is /dev/nvme0n1 or /dev/nvme0n2.
- Local disks attached to Ir3 ECSs can be split for multiple ECSs to use. If a local disk is damaged, the ECSs that use this disk will be affected.
You are advised to add Ir3 ECSs to an ECS group during the creation process to prevent such failures. For details, see Managing ECS Groups.
- The basic resources, including vCPUs, memory, and image of an ultra-high I/O ECS will continue to be billed after the ECS is stopped. To stop the ECS from being billed, delete it and its associated resources.
- The %util parameter of a local disk indicates a percentage of CPU time during which I/O requests were issued to the device, so it is a perfect indication of how busy they really are. For parallel disks such as NVMe SSD local disks, the %util parameter does not indicate how busy they really are.
Handling Damaged Local Disks Attached to an ECS of I Series
If a local disk attached to an ECS is damaged, perform the following operations to handle this issue:
For a Linux ECS:
- Detach the faulty local disk.
- Run the following command to query the mount point of the faulty disk:
- Run the following command to detach the faulty local disk:
In the example shown in Figure 1, the mount point of /dev/nvme0n1 is /mnt/nvme0. Run the following command:
umount /mnt/nvme0
- Check whether the mount point of the faulty disk is configured in /etc/fstab of the ECS. If yes, comment out the mount point to prevent the ECS from entering the maintenance mode upon ECS startup after the faulty disk is replaced.
- Run the following command to obtain the partition UUID:
In this example, run the following command to obtain the UUID of the /dev/nvme0n1 partition:
blkid /dev/nvme0n1
Information similar to the following is displayed:
/dev/nvme0n1: UUID="b9a07b7b-9322-4e05-ab9b-14b8050cd8cc" TYPE="ext4"
- Run the following command to check whether /etc/fstab contains the automatic mounting information about the disk partition:
cat /etc/fstab
Information similar to the following is displayed:
UUID=b9a07b7b-9322-4e05-ab9b-14b8050cd8cc /mnt ext4 defaults 0 0
- If the mounting information exists, perform the following steps to delete it.
- Run the following command to edit /etc/fstab:
vi /etc/fstab
Use the UUID obtained in 2.a to check whether the mounting information of the local disk is contained in /etc/fstab. If yes, comment out the information. This prevents the ECS from entering the maintenance mode upon ECS startup after the local disk is replaced.
- Press i to enter editing mode.
- Delete or comment out the automatic mounting information of the disk partition.
For example, add a pound sign (#) at the beginning of the following command line to comment out the automatic mounting information:
# UUID=b9a07b7b-9322-4e05-ab9b-14b8050cd8cc /mnt ext4 defaults 0 0
- Press Esc to exit editing mode. Enter :wq and press Enter to save the settings and exit.
- Run the following command to edit /etc/fstab:
- Run the following command to obtain the partition UUID:
- Run the following command to obtain the SN of the local disk:
For example, if the nvme0n1 disk is faulty, obtain the serial number of the nvme0n1 disk.
ll /dev/disk/by-id/
Figure 2 Querying the serial number of the faulty local disk
- Stop the ECS and provide the serial number of the faulty disk to technical support personnel to replace the local disk.
After the local disk is replaced, restart the ECS to synchronize the new local disk information to the virtualization layer.
For a Windows ECS:
- Open Computer Management, choose Computer Management (Local) > Storage > Disk Management, and view the disk ID, for example, Disk 1.
- Open Windows PowerShell as an administrator and run the following command to query the disk on which the logical disk is created:
Get-CimInstance -ClassName Win32_LogicalDiskToPartition |select Antecedent, Dependent | fl
Figure 3 Querying the disk on which the logical disk is created
- Run the following command to obtain the serial number of the faulty disk according to the mapping between the disk ID and serial number:
Get-Disk | select Number, SerialNumber
Figure 4 Querying the mapping between the disk ID and serial number
If the serial number cannot be obtained by running the preceding command, see Using a Serial Number to Obtain the Disk Name (Windows).
- Stop the ECS and provide the serial number of the faulty disk to technical support personnel to replace the local disk.
After the local disk is replaced, restart the ECS to synchronize the new local disk information to the virtualization layer.
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