NGX Software 2.2.0 Released for Gen2 Series

Update

NGX_Software_2.2.0 represents a major step forward for the NGX Storage Gen2 series products. This update includes a wealth of new features and enhancements that will greatly improve the performance and stability of the system.

In addition to fixing minor bugs and improving system performance, NGX_Software_2.2.0 introduces a number of new features that will enhance the user experience. These include a more intuitive user interface, enhanced security measures, and improved data management capabilities.

Overall, NGX_Software_2.2.0 represents a major milestone in the evolution of the NGX Storage Gen2 series products.

 

What’ New

  • GUI enhancements at Dashboard, LUN's and Share pages.
  • Storage Configuration menu simplified, and it shows Base2 and Base10 capacity information at creation time.
  • S3 quota, object statistic and object size histogram features are added.
  • Faulted hard drive logging now shows raid stripe group information.
  • Hard drive slots are automatically disabling after the drive fault or manual detach. Administrative action required to enable the slots from the GUI.
  • Synchronous replication handles network bandwidth and latency problem without administrative actions.
  • Software and firmware updates are completely changed. Prior all controllers should have its own signed update files. Now you can install only a single file for each controller.
  • Improved diagnostic collector to identify possible and current problems on the system.
  • Snapshot capacity reports per LUN and Share.
  • Network or FibreChannel adapter link up/down notifier.
  • Show FC link errors at the Network Settings page.
  • Improved hardware details at the maintenance page.
  • SEL logs can be seen on Logs page as System Events.
  • Jumbo frame settings can be change individually for both controllers real time.
  • For iSCSI connections you can define the IP strictly at the Network Settings page.
  • Improved iSCSI ToE feature for enhanced performance and low latency.
  • A new CLI interface over SSH added ngxli> .
  • Generate SAN switch zone configurations for the Brocade and Cisco from the ngxcli.
  • Remote replication data transfer performance enhanced over 2x.
  • Intelligent deduplication now controls dynamic resources and provides better performance under heavy load.
  • QoS settings are optimized for both AFA and Hybird series.
  • SMB Settings menu now shows AD status info and Kerberos tickets. Also periodic tasks logs AD / Kerberos / DNS issues as a warnings.
  • Cached AD connected users can be flushed from SMB Settings menu.
  • SMB tuning for large scale customers, improved 2x read performance.
  • SMB service now have offline login support up to 2 hour to provide its services under AD outage.
  • CEF log format added for remote logging.
  • Product_ID per controller is changed to a single service_tag.
  • Lots of system wide stability and performance improvements.

Bug Fixes

 

Learn more or download updates from https://support.ngxstorage.com

Company / General / News / Products - 02/06/2023

Optimizing Object Storage Metadata for Improved Performance and Scalability

s3meta_head

Object storage is a revolutionary type of data storage that is specifically designed to store large amounts of unstructured data, such as photos, videos, and audio files. One of the key features that sets object storage apart is the ability to store metadata along with each object. In this post, we'll delve into the world of object storage metadata, discussing how it is used and the impact of slow metadata performance on an object storage system.

What is object storage metadata?

Object storage metadata is a powerful tool that allows users to store information about their objects in an object storage system. This metadata can include details such as the object's name, size, content type, and creation date, as well as custom metadata that is specific to the user's needs. By using metadata, users can easily organize and manage their objects within the object storage system.

How is object storage metadata used?

Object metadata is stored in key-value pairs, with the key being the name of the metadata field and the value being the information stored in that field. This metadata can be used by the object storage system to group objects by content type, search for objects based on specific metadata values, and much more. The possibilities for using metadata are virtually limitless, making it a powerful tool for managing and organizing objects within the object storage system.

What is the impact of slow metadata performance on an object storage system?

Slow metadata performance can have serious consequences for an object storage system. It can make it difficult for users to access and retrieve their objects, leading to delays and frustration. In addition, slow metadata performance can negatively impact the overall performance of the object storage system, potentially causing slower performance and even downtime. If the system is unable to efficiently manage and organize the objects within it, it may become more difficult to add new objects or scale the system to meet increasing demand.

Experience Enhanced S3 Object Performance with NGX Storage

NGX Storage provides ultimate object storage solution, designed to optimize performance and scalability. With our innovative flash tier technology, all object metadata is stored on ultra-fast solid-state memory chips, ensuring lightning-fast access and retrieval times. As your system grows, our scalable design allows you to easily add more flash storage with just a single click. Plus, our advanced tree copy wide stripe flash environment provides unparalleled durability and fault tolerance for your valuable metadata and data.

There are many reasons why it is beneficial to keep metadata at a very fast flash layer and data itself on high capacity, economic drives. First and foremost, this arrangement can greatly improve the performance of a system. Additionally, this approach can help to save costs. Using high capacity, economic drives for data storage is often more cost-effective than using faster, but more expensive drives for all data storage. Another advantage of this setup is the increased capacity it can provide. High capacity drives allow for more data to be stored, which can be especially useful for those who have a large amount of data to store.

Additionally, NGX Storage inline compression can reduce all data and metada to provide more efficient capacities. Compressing metadata and data can offer a number of benefits for both the storage system itself and the users of the system. Here are a few ways that compressed metadata and data can improve the overall experience of using an object storage system:

  • Faster access to objects: Smaller metadata and data means faster processing, which can translate into faster access to objects stored in the system. This can be especially beneficial for users who need to retrieve large numbers of objects or frequently access the same objects.
  • Improved system performance: By reducing the amount of metadata that needs to be processed, compressed metadata can help to improve the overall performance of the storage system. This can result in faster access times and a better overall user experience.
  • Lower storage costs: Because compressed metadata and data takes up less space, it can help to reduce the overall storage requirements of the system. This can result in lower storage costs for the organization or individual using the object storage system.
  • Enhanced reliability: Compressing metadata and data can also make it more efficient to replicate and back up, which can improve the overall reliability and durability of the storage system. This can give users greater confidence in the security and availability of their data.

As NGX Storage, we are always looking for ways to improve the performance and efficiency of our systems for our customers. To learn more you can reach us.

 

Products / Technical - 01/09/2023

Comparing iSCSI vs Fibre Channel Storage Network

netblogdata

As we know, nowadays the network speed has reached 400G at data centers. And, most servers are coming with at least 25G or 50G network adaptors now as a default configuration. This fact brings challenging questions from our customers and we are facing  iSCSI vs Fibre Channel storage network comparisons. Of course, priority is being competitive at the business and catching the future trends.

Before continuing, we assume you are familiar with block storage technologies. However, if you want a brief history of these protocols you can check one of the best technical deep-dive webcast about Fibre Channel and iSCSI comparison by SNIA.

Let's focus on our main subject here; performance and cost!

First of all, we prepared a testbed to compare apples to apples. This is a very important point to highlight our decision. Because we see lots of non-comparable test scenarios on the internet, I mean apples to oranges. For example, comparing 1G iSCSI vs 8G Fibre Channel. Also, we know Fibre Channel networks are dedicated over SAN switches but somehow iSCSI tests are conducted on a shared backbone or edge switches. Similarly comparing 40G iSCSI vs 16G Fibre Channel is nonsense at all. 

So what we did here is to create a dedicated TCP/IP network with 100G ethernet switches and a 32G Fibre Channel SAN network. And we started to test respectively 40G ethernet vs 32G FC then 100G ethernet vs 64G FC. We chose this because they are dominant current average connectivities at the market, and can be compared as apples to apples both in terms of price and performance.  

First of all, let's look at the economics;

 

iscsivsfceconomics

* Costs are calculated from the online list prices of these components.

 

While the most important thing is availability we should create our storage infrastructure redundantly. So we need at least 2 components from each to find the minimal cost per server to create redundant storage fabric. Below table shows costs per connectivity type only for a single server. However, you can calculate your own costs depending on your numbers easily.

 

iscsivsfceconomics

Expense ratios of the storage networks

 

According to cost tables, creating an FC SAN storage network is ~67% more expensive than an iSCSI network. But before deciding on your future infrastructure, we need performance numbers.

Test Environment Details

To avoid any storage bottlenecks we used the NGX Storage NS200 SCM system.  

Storage: NGX Storage NS200 SCM all-flash

  • 2TB DRAM
  • 24 Intel® Optane™ SSD DC P5800X 400GB
  • 4 x 32G Fibre Channel
  • 4 x 100GbE QSFP

Server : Dell R740 / OS Ubuntu 20.04 

  • 256GB Memory
  • Intel(R) Xeon(R) Gold 6142M CPU @ 2.60GHz
  • 2 x 32G Fibre Channel
  • 1 x 40G (Mellanox Connect-X 4)
  • 1 x 100G (Mellanox Connect-X 5)

 

iscsivsfctestbediSCSI vs FibreChannel Testbed

 

We created 8 logical units for test setup and exported them for both FC and iSCSI targets. These tests were conducted via  fio and vdbench which are industry standard benchmark tools. While both results are similar we are sharing fio results here to keep it short. Additionally, we chose an average block size 32k to generate enough throughput and IOPS that can stress this setup. Last but not least we used jumbo frames (MTU 9000) at the network config.

 

32g_fc_vs_40g_eth

32G FC vs 40G iSCSI

 

64g_fc_vs_100g_eth

64G FC vs 100G iSCSI

 

As we see from these test results iSCSI is as fast as expected. Because network adapters have more bandwidth. So we can say it's not an apple to apple comparison.  However, if we look from a price/performance perspective it definitely is. To clarify the whole picture, let's look below test results which are made with 4K block sizes without saturating the adapter bandwidths. This way we can compare FC vs iSCSI performances as a storage network and the protocols only.

 

32g_fc_vs_40g_eth_4k

32G FC vs 40G iSCSI (4k block)

 

Conclusion

Contrary to popular belief, iSCSI is not slow at all. Actually, it is one of the fastest block storage network today. While NGX Storage supports both FC and iSCSI in its products we can’t take sides between them. Therefore our customers should read and acknowledge this blog post as a technical highlight that helps understanding storage network performance numbers.

 

Notes: 

Networking

You should create a proper storage network while stability,  performance, and reliability are the main subjects. So, just like the SAN network, we need low latency, non-blocking, and lossless packet switching capabilities from the switch network. 

TCP Offload Engine     

Some vendors are providing iSCSI offload with their ToE supported cards. With iSCSI offload, your systems will benefit from low latency, higher IOPS, and lower processor utilization. 

NVMeOF

NVMe is a vital point when we consider future-ready storage fabrics. As a note, both Ethernet and FibreChannel support NVMe over Fabric on top of their network.

 

Reference:

  • https://en.wikipedia.org/wiki/Fibre_Channel
  • https://en.wikipedia.org/wiki/ISCSI
  • https://en.wikipedia.org/wiki/Jumbo_frame
  • https://en.wikipedia.org/wiki/TCP_offload_engine
  • https://fio.readthedocs.io/en/latest/
  • https://www.oracle.com/downloads/server-storage/vdbench-downloads.html

Fio Results:

# FC 32G randomwrite / 32K Block size

fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sda:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh:/dev/sdi
random: (g=0): rw=randwrite, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [w(24)][100.0%][w=2899MiB/s][w=92.8k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=13243: Mon Aug 9 14:18:09 2021
write: IOPS=90.1k, BW=2815MiB/s (2951MB/s)(165GiB/60010msec); 0 zone resets
slat (usec): min=3, max=52314, avg=29.97, stdev=97.15
clat (nsec): min=1919, max=279448k, avg=8493051.20, stdev=19921490.32
lat (usec): min=97, max=279488, avg=8523.44, stdev=19921.32
clat percentiles (usec):
| 1.00th=[ 297], 5.00th=[ 709], 10.00th=[ 1020], 20.00th=[ 1450],
| 30.00th=[ 1827], 40.00th=[ 2212], 50.00th=[ 2671], 60.00th=[ 3228],
| 70.00th=[ 4080], 80.00th=[ 5932], 90.00th=[ 14484], 95.00th=[ 49021],
| 99.00th=[108528], 99.50th=[127402], 99.90th=[164627], 99.95th=[179307],
| 99.99th=[212861]
bw ( MiB/s): min= 1872, max= 4049, per=99.99%, avg=2814.28, stdev=15.86, samples=2880
iops : min=59926, max=129579, avg=90056.14, stdev=507.64, samples=2880
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 50=0.01%, 100=0.01%
lat (usec) : 250=0.71%, 500=1.86%, 750=2.93%, 1000=4.11%
lat (msec) : 2=24.79%, 4=34.73%, 10=18.14%, 20=4.24%, 50=3.59%
lat (msec) : 100=3.58%, 250=1.31%, 500=0.01%
cpu : usr=3.47%, sys=11.15%, ctx=4692047, majf=0, minf=11550
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,5405019,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=2815MiB/s (2951MB/s), 2815MiB/s-2815MiB/s (2951MB/s-2951MB/s), io=165GiB (177GB), run=60010-60010msec


Disk stats (read/write):
sda: ios=76/672359, merge=0/61, ticks=2971/29410698, in_queue=28056724, util=99.80%
sdc: ios=80/675652, merge=0/2, ticks=85/1729028, in_queue=456664, util=99.82%
sdd: ios=89/675650, merge=0/1, ticks=165/1754645, in_queue=476600, util=99.83%
sde: ios=107/675640, merge=0/2, ticks=163/1736901, in_queue=458316, util=99.87%
sdf: ios=136/675628, merge=0/2, ticks=229/1675202, in_queue=414552, util=99.89%
sdg: ios=143/675626, merge=0/1, ticks=376/1683470, in_queue=415936, util=99.91%
sdh: ios=179/675623, merge=0/0, ticks=224/1720457, in_queue=453484, util=99.94%
sdi: ios=166/675609, merge=0/6, ticks=2374/5740380, in_queue=4325732, util=99.94%


# FC 32G randomread / 32K Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sda:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh:/dev/sdi
random: (g=0): rw=randread, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [r(24)][100.0%][r=2762MiB/s][r=88.4k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=19896: Mon Aug 9 14:20:45 2021
read: IOPS=90.8k, BW=2838MiB/s (2976MB/s)(166GiB/60008msec)
slat (usec): min=3, max=647, avg=15.07, stdev=11.60
clat (usec): min=70, max=215045, avg=8437.26, stdev=11719.66
lat (usec): min=92, max=215057, avg=8452.73, stdev=11719.49
clat percentiles (usec):
| 1.00th=[ 1254], 5.00th=[ 1663], 10.00th=[ 1991], 20.00th=[ 2573],
| 30.00th=[ 3064], 40.00th=[ 3589], 50.00th=[ 4293], 60.00th=[ 5538],
| 70.00th=[ 7439], 80.00th=[ 10814], 90.00th=[ 18482], 95.00th=[ 29492],
| 99.00th=[ 61604], 99.50th=[ 76022], 99.90th=[109577], 99.95th=[125305],
| 99.99th=[162530]
bw ( MiB/s): min= 2042, max= 4014, per=99.99%, avg=2837.96, stdev=17.21, samples=2880
iops : min=65350, max=128472, avg=90814.26, stdev=550.78, samples=2880
lat (usec) : 100=0.01%, 250=0.01%, 500=0.01%, 750=0.04%, 1000=0.19%
lat (msec) : 2=9.90%, 4=36.44%, 10=31.46%, 20=12.95%, 50=7.27%
lat (msec) : 100=1.59%, 250=0.15%
cpu : usr=2.56%, sys=7.10%, ctx=5232143, majf=0, minf=15325
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=5450191,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=2838MiB/s (2976MB/s), 2838MiB/s-2838MiB/s (2976MB/s-2976MB/s), io=166GiB (179GB), run=60008-60008msec


Disk stats (read/write):
sda: ios=678997/0, merge=11/0, ticks=7050720/0, in_queue=5582820, util=99.62%
sdc: ios=679011/0, merge=17/0, ticks=7807170/0, in_queue=6350700, util=99.66%
sdd: ios=679034/0, merge=13/0, ticks=6416492/0, in_queue=4946616, util=99.68%
sde: ios=678979/0, merge=7/0, ticks=6162488/0, in_queue=4684856, util=99.88%
sdf: ios=679047/0, merge=8/0, ticks=5285084/0, in_queue=3805036, util=99.72%
sdg: ios=679055/0, merge=9/0, ticks=5711760/0, in_queue=4237272, util=99.76%
sdh: ios=678769/0, merge=11/0, ticks=5581873/0, in_queue=4098172, util=99.78%
sdi: ios=679061/0, merge=2/0, ticks=1766793/0, in_queue=205180, util=99.79%


# ISCSI 100G randomwrite / 32K Block size


fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sda:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh
random: (g=0): rw=randwrite, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [w(24)][100.0%][w=11.5GiB/s][w=376k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=26320: Mon Aug 9 14:28:52 2021
write: IOPS=369k, BW=11.3GiB/s (12.1GB/s)(675GiB/60004msec); 0 zone resets
slat (usec): min=2, max=22826, avg=37.43, stdev=201.56
clat (usec): min=12, max=158530, avg=2044.13, stdev=2397.96
lat (usec): min=55, max=158551, avg=2081.68, stdev=2450.77
clat percentiles (usec):
| 1.00th=[ 202], 5.00th=[ 277], 10.00th=[ 330], 20.00th=[ 457],
| 30.00th=[ 660], 40.00th=[ 889], 50.00th=[ 1205], 60.00th=[ 1598],
| 70.00th=[ 2147], 80.00th=[ 3064], 90.00th=[ 5014], 95.00th=[ 7111],
| 99.00th=[10159], 99.50th=[11600], 99.90th=[20579], 99.95th=[26084],
| 99.99th=[39584]
bw ( MiB/s): min= 3718, max=12540, per=99.99%, avg=11523.50, stdev=44.09, samples=2880
iops : min=119006, max=401282, avg=368751.24, stdev=1410.96, samples=2880
lat (usec) : 20=0.01%, 50=0.01%, 100=0.04%, 250=3.14%, 500=19.57%
lat (usec) : 750=11.42%, 1000=9.69%
lat (msec) : 2=23.88%, 4=18.27%, 10=12.88%, 20=1.00%, 50=0.10%
lat (msec) : 100=0.01%, 250=0.01%
cpu : usr=5.62%, sys=19.98%, ctx=11399948, majf=0, minf=20652
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,22128185,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=11.3GiB/s (12.1GB/s), 11.3GiB/s-11.3GiB/s (12.1GB/s-12.1GB/s), io=675GiB (725GB), run=60004-60004msec


Disk stats (read/write):
sda: ios=99/2752163, merge=0/3140, ticks=51/4412371, in_queue=1425048, util=99.78%
sdb: ios=67/2750438, merge=0/4785, ticks=54/6071205, in_queue=2471248, util=99.84%
sdc: ios=73/2752430, merge=0/2897, ticks=52/4168589, in_queue=1410376, util=99.88%
sdd: ios=77/2752193, merge=0/3022, ticks=60/4352598, in_queue=1209072, util=99.87%
sde: ios=81/2752607, merge=0/2683, ticks=46/3783654, in_queue=1259132, util=99.92%
sdf: ios=85/2750446, merge=0/4806, ticks=70/5880030, in_queue=2479196, util=99.91%
sdg: ios=96/2752439, merge=0/2640, ticks=55/3764635, in_queue=1259592, util=99.93%
sdh: ios=99/2752171, merge=0/2907, ticks=58/3943191, in_queue=1467624, util=99.98%


# ISCSI 100G randomread / 32K Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sda:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh
random: (g=0): rw=randread, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [r(24)][100.0%][r=9.77GiB/s][r=320k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=28942: Mon Aug 9 14:31:01 2021
read: IOPS=311k, BW=9728MiB/s (10.2GB/s)(570GiB/60008msec)
slat (usec): min=2, max=15998, avg=54.88, stdev=311.12
clat (nsec): min=1346, max=117426k, avg=2411243.14, stdev=2988906.27
lat (usec): min=49, max=117431, avg=2466.22, stdev=3088.44
clat percentiles (usec):
| 1.00th=[ 133], 5.00th=[ 227], 10.00th=[ 285], 20.00th=[ 383],
| 30.00th=[ 529], 40.00th=[ 898], 50.00th=[ 1369], 60.00th=[ 1860],
| 70.00th=[ 2573], 80.00th=[ 3720], 90.00th=[ 6194], 95.00th=[ 8848],
| 99.00th=[13042], 99.50th=[14615], 99.90th=[21890], 99.95th=[28705],
| 99.99th=[44303]
bw ( MiB/s): min= 8219, max=11179, per=99.99%, avg=9727.58, stdev=22.70, samples=2880
iops : min=263008, max=357737, avg=311281.48, stdev=726.34, samples=2880
lat (usec) : 2=0.01%, 10=0.01%, 20=0.01%, 50=0.01%, 100=0.39%
lat (usec) : 250=6.44%, 500=21.95%, 750=8.05%, 1000=5.38%
lat (msec) : 2=20.31%, 4=19.10%, 10=14.88%, 20=3.39%, 50=0.12%
lat (msec) : 100=0.01%, 250=0.01%
cpu : usr=2.24%, sys=13.14%, ctx=7622754, majf=0, minf=28545
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=18680735,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=9728MiB/s (10.2GB/s), 9728MiB/s-9728MiB/s (10.2GB/s-10.2GB/s), io=570GiB (612GB), run=60008-60008msec


Disk stats (read/write):
sda: ios=2325147/0, merge=2153/0, ticks=3577557/0, in_queue=1550356, util=99.81%
sdb: ios=2322967/0, merge=4363/0, ticks=5969166/0, in_queue=3269420, util=99.81%
sdc: ios=2325538/0, merge=1766/0, ticks=3107834/0, in_queue=1333404, util=99.84%
sdd: ios=2324621/0, merge=2602/0, ticks=4137631/0, in_queue=1904632, util=99.84%
sde: ios=2325548/0, merge=1832/0, ticks=3090372/0, in_queue=1324000, util=99.88%
sdf: ios=2323925/0, merge=3299/0, ticks=4792066/0, in_queue=2390652, util=99.88%
sdg: ios=2326375/0, merge=1038/0, ticks=2125565/0, in_queue=680320, util=99.91%
sdh: ios=2325828/0, merge=1374/0, ticks=2568624/0, in_queue=1053704, util=99.94%


# FC 64G randomwrite / 32K Block size


fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sdf:/dev/sdg:/dev/sdh:/dev/sdi:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde
random: (g=0): rw=randwrite, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [w(24)][100.0%][w=4409MiB/s][w=141k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=17176: Tue Aug 10 09:27:20 2021
write: IOPS=142k, BW=4432MiB/s (4647MB/s)(260GiB/60007msec); 0 zone resets
slat (usec): min=3, max=8465, avg=26.29, stdev=63.42
clat (nsec): min=1377, max=221987k, avg=5386099.00, stdev=10797360.99
lat (usec): min=87, max=222000, avg=5412.75, stdev=10797.10
clat percentiles (usec):
| 1.00th=[ 110], 5.00th=[ 155], 10.00th=[ 221], 20.00th=[ 404],
| 30.00th=[ 676], 40.00th=[ 1037], 50.00th=[ 1516], 60.00th=[ 2245],
| 70.00th=[ 3523], 80.00th=[ 6259], 90.00th=[ 14615], 95.00th=[ 26084],
| 99.00th=[ 55313], 99.50th=[ 67634], 99.90th=[ 93848], 99.95th=[105382],
| 99.99th=[130548]
bw ( MiB/s): min= 2872, max= 7320, per=99.99%, avg=4431.28, stdev=29.57, samples=2880
iops : min=91922, max=234254, avg=141800.09, stdev=946.25, samples=2880
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.01%
lat (usec) : 100=0.31%, 250=11.58%, 500=11.97%, 750=8.44%, 1000=6.83%
lat (msec) : 2=18.01%, 4=15.35%, 10=13.54%, 20=6.83%, 50=5.78%
lat (msec) : 100=1.28%, 250=0.07%
cpu : usr=5.00%, sys=15.40%, ctx=7565473, majf=0, minf=10271
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,8509825,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=4432MiB/s (4647MB/s), 4432MiB/s-4432MiB/s (4647MB/s-4647MB/s), io=260GiB (279GB), run=60007-60007msec


Disk stats (read/write):
sdf: ios=77/1063700, merge=0/0, ticks=26/850388, in_queue=57456, util=99.72%
sdg: ios=87/1063711, merge=0/2, ticks=24/858639, in_queue=58676, util=99.77%
sdh: ios=103/1063485, merge=0/23, ticks=377/5969271, in_queue=4023072, util=99.82%
sdi: ios=139/1063555, merge=0/20, ticks=432/7080818, in_queue=5089340, util=99.85%
sdb: ios=158/1063407, merge=0/50, ticks=1337/12471721, in_queue=10439728, util=99.86%
sdc: ios=174/1063586, merge=0/44, ticks=1267/16249379, in_queue=14175540, util=99.90%
sdd: ios=191/1063701, merge=0/2, ticks=77/1015834, in_queue=94512, util=99.93%
sde: ios=190/1063661, merge=0/2, ticks=121/1105839, in_queue=115992, util=99.96%


# FC 64G randomread / 32K Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=32k --filename=/dev/sdf:/dev/sdg:/dev/sdh:/dev/sdi:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde
random: (g=0): rw=randread, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=192): [r(24)][100.0%][r=4922MiB/s][r=157k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=23220: Tue Aug 10 09:29:30 2021
read: IOPS=158k, BW=4924MiB/s (5163MB/s)(289GiB/60010msec)
slat (usec): min=4, max=497, avg=15.23, stdev=11.49
clat (usec): min=2, max=134519, avg=4856.01, stdev=8220.20
lat (usec): min=80, max=134534, avg=4871.60, stdev=8219.90
clat percentiles (usec):
| 1.00th=[ 302], 5.00th=[ 594], 10.00th=[ 775], 20.00th=[ 1057],
| 30.00th=[ 1336], 40.00th=[ 1647], 50.00th=[ 2024], 60.00th=[ 2638],
| 70.00th=[ 3687], 80.00th=[ 5800], 90.00th=[ 11469], 95.00th=[ 19530],
| 99.00th=[ 43254], 99.50th=[ 54264], 99.90th=[ 77071], 99.95th=[ 85459],
| 99.99th=[100140]
bw ( MiB/s): min= 3748, max= 6488, per=100.00%, avg=4923.52, stdev=28.18, samples=2880
iops : min=119944, max=207631, avg=157552.06, stdev=901.61, samples=2880
lat (usec) : 4=0.01%, 20=0.01%, 50=0.01%, 100=0.06%, 250=0.61%
lat (usec) : 500=2.55%, 750=5.95%, 1000=8.69%
lat (msec) : 2=31.66%, 4=22.61%, 10=16.19%, 20=6.81%, 50=4.20%
lat (msec) : 100=0.65%, 250=0.01%
cpu : usr=4.13%, sys=11.76%, ctx=8748698, majf=0, minf=15238
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=9454880,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=4924MiB/s (5163MB/s), 4924MiB/s-4924MiB/s (5163MB/s-5163MB/s), io=289GiB (310GB), run=60010-60010msec


Disk stats (read/write):
sdf: ios=1177865/0, merge=14/0, ticks=3958728/0, in_queue=2039648, util=99.73%
sdg: ios=1177859/0, merge=18/0, ticks=4488655/0, in_queue=2475428, util=99.76%
sdh: ios=1177840/0, merge=21/0, ticks=5190973/0, in_queue=3152964, util=99.81%
sdi: ios=1177860/0, merge=18/0, ticks=5451968/0, in_queue=3471140, util=99.85%
sdb: ios=1177591/0, merge=31/0, ticks=9595141/0, in_queue=7367924, util=99.86%
sdc: ios=1177707/0, merge=16/0, ticks=5389808/0, in_queue=3209780, util=99.90%
sdd: ios=1177868/0, merge=1/0, ticks=1444543/0, in_queue=15944, util=99.91%
sde: ios=1177642/0, merge=28/0, ticks=10157679/0, in_queue=7924056, util=99.93%


# ISCSI 40G randomwrite / 32K Block size


fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=8 --bs=32k --filename=/dev/sdi:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh
random: (g=0): rw=randwrite, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 8 processes
Jobs: 8 (f=64): [w(8)][100.0%][w=4684MiB/s][w=150k IOPS][eta 00m:00s]
random: (groupid=0, jobs=8): err= 0: pid=36087: Tue Aug 24 16:11:06 2021
write: IOPS=150k, BW=4682MiB/s (4909MB/s)(274GiB/60003msec); 0 zone resets
slat (usec): min=2, max=1007, avg=22.79, stdev=11.97
clat (usec): min=51, max=83870, avg=1684.37, stdev=2338.39
lat (usec): min=87, max=83886, avg=1707.43, stdev=2337.62
clat percentiles (usec):
| 1.00th=[ 225], 5.00th=[ 306], 10.00th=[ 359], 20.00th=[ 433],
| 30.00th=[ 506], 40.00th=[ 603], 50.00th=[ 758], 60.00th=[ 1012],
| 70.00th=[ 1516], 80.00th=[ 2343], 90.00th=[ 4146], 95.00th=[ 6325],
| 99.00th=[11469], 99.50th=[13304], 99.90th=[18482], 99.95th=[23462],
| 99.99th=[38011]
bw ( MiB/s): min= 4549, max= 4796, per=99.98%, avg=4681.12, stdev= 5.73, samples=960
iops : min=145581, max=153500, avg=149795.53, stdev=183.24, samples=960
lat (usec) : 100=0.01%, 250=1.84%, 500=27.41%, 750=20.45%, 1000=9.98%
lat (msec) : 2=16.59%, 4=13.20%, 10=8.91%, 20=1.54%, 50=0.08%
lat (msec) : 100=0.01%
cpu : usr=7.36%, sys=44.99%, ctx=4371222, majf=0, minf=3772
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,8989672,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=4682MiB/s (4909MB/s), 4682MiB/s-4682MiB/s (4909MB/s-4909MB/s), io=274GiB (295GB), run=60003-60003msec


Disk stats (read/write):
sdi: ios=102/1120444, merge=0/402, ticks=110/1948704, in_queue=738576, util=99.87%
sdb: ios=108/1120264, merge=0/578, ticks=94/2457704, in_queue=1066512, util=99.89%
sdc: ios=69/1120464, merge=0/390, ticks=55/1932764, in_queue=700948, util=99.90%
sdd: ios=70/1120503, merge=0/351, ticks=56/1817100, in_queue=627440, util=99.90%
sde: ios=69/1120323, merge=0/399, ticks=62/1978459, in_queue=706900, util=99.92%
sdf: ios=67/1120618, merge=0/209, ticks=39/1486035, in_queue=369348, util=99.92%
sdg: ios=70/1120681, merge=0/160, ticks=40/1280505, in_queue=244416, util=99.95%
sdh: ios=68/1120398, merge=0/452, ticks=39/2032347, in_queue=790108, util=99.95%


# ISCSI 40G randomread / 32K Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=8 --bs=32k --filename=/dev/sdi:/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdh
random: (g=0): rw=randread, bs=(R) 32.0KiB-32.0KiB, (W) 32.0KiB-32.0KiB, (T) 32.0KiB-32.0KiB, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 8 processes
Jobs: 8 (f=64): [r(8)][100.0%][r=4612MiB/s][r=148k IOPS][eta 00m:00s]
random: (groupid=0, jobs=8): err= 0: pid=37475: Tue Aug 24 16:13:02 2021
read: IOPS=147k, BW=4609MiB/s (4833MB/s)(270GiB/60005msec)
slat (nsec): min=1945, max=97891k, avg=16815.93, stdev=60543.38
clat (nsec): min=444, max=132128k, avg=1717382.04, stdev=2532988.67
lat (usec): min=78, max=132134, avg=1734.46, stdev=2533.63
clat percentiles (usec):
| 1.00th=[ 139], 5.00th=[ 192], 10.00th=[ 237], 20.00th=[ 326],
| 30.00th=[ 441], 40.00th=[ 594], 50.00th=[ 824], 60.00th=[ 1205],
| 70.00th=[ 1696], 80.00th=[ 2311], 90.00th=[ 4146], 95.00th=[ 6652],
| 99.00th=[11994], 99.50th=[13829], 99.90th=[19268], 99.95th=[25560],
| 99.99th=[44827]
bw ( MiB/s): min= 3921, max= 4780, per=99.99%, avg=4608.40, stdev=13.53, samples=960
iops : min=125500, max=152978, avg=147468.49, stdev=432.91, samples=960
lat (nsec) : 500=0.01%, 750=0.01%, 1000=0.01%
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.01%
lat (usec) : 100=0.06%, 250=11.47%, 500=22.88%, 750=13.00%, 1000=7.77%
lat (msec) : 2=20.72%, 4=13.69%, 10=8.48%, 20=1.84%, 50=0.08%
lat (msec) : 100=0.01%, 250=0.01%
cpu : usr=4.34%, sys=35.50%, ctx=4847513, majf=0, minf=4641
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=8849635,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=4609MiB/s (4833MB/s), 4609MiB/s-4609MiB/s (4833MB/s-4833MB/s), io=270GiB (290GB), run=60005-60005msec


Disk stats (read/write):
sdi: ios=1103545/0, merge=43/0, ticks=923489/0, in_queue=40488, util=99.68%
sdb: ios=1103391/0, merge=191/0, ticks=1463725/0, in_queue=318276, util=99.69%
sdc: ios=1103536/0, merge=51/0, ticks=921654/0, in_queue=64784, util=99.70%
sdd: ios=1103493/0, merge=83/0, ticks=1028444/0, in_queue=139716, util=99.86%
sde: ios=1103570/0, merge=14/0, ticks=827315/0, in_queue=1700, util=99.71%
sdf: ios=1102155/0, merge=1265/0, ticks=4257267/0, in_queue=2346016, util=99.72%
sdg: ios=1102327/0, merge=1240/0, ticks=4237243/0, in_queue=2315936, util=99.73%
sdh: ios=1103490/0, merge=96/0, ticks=1157271/0, in_queue=127324, util=99.75%


# ISCSI 40G randomwrite / 4K Block size


fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=4k --filename=/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdi
random: (g=0): rw=randwrite, bs=(R) 4096B-4096B, (W) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=168): [w(24)][100.0%][w=829MiB/s][w=212k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=12665: Mon Sep 6 15:28:41 2021
write: IOPS=198k, BW=775MiB/s (813MB/s)(45.4GiB/60006msec); 0 zone resets
slat (usec): min=2, max=7088, avg=22.03, stdev=61.21
clat (nsec): min=421, max=154679k, avg=3846762.03, stdev=4262129.77
lat (usec): min=53, max=154694, avg=3869.07, stdev=4266.94
clat percentiles (usec):
| 1.00th=[ 155], 5.00th=[ 293], 10.00th=[ 420], 20.00th=[ 635],
| 30.00th=[ 857], 40.00th=[ 1401], 50.00th=[ 2180], 60.00th=[ 3359],
| 70.00th=[ 4883], 80.00th=[ 6915], 90.00th=[ 9765], 95.00th=[11994],
| 99.00th=[16581], 99.50th=[19268], 99.90th=[34866], 99.95th=[44303],
| 99.99th=[64750]
bw ( KiB/s): min=596920, max=957281, per=99.99%, avg=793559.55, stdev=3257.39, samples=2880
iops : min=149230, max=239320, avg=198389.33, stdev=814.35, samples=2880
lat (nsec) : 500=0.01%, 750=0.01%, 1000=0.01%
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.01%
lat (usec) : 100=0.17%, 250=3.40%, 500=10.14%, 750=11.88%, 1000=8.06%
lat (msec) : 2=14.33%, 4=16.60%, 10=26.04%, 20=8.93%, 50=0.40%
lat (msec) : 100=0.03%, 250=0.01%
cpu : usr=2.55%, sys=17.51%, ctx=8624821, majf=0, minf=3543
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,11905508,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=775MiB/s (813MB/s), 775MiB/s-775MiB/s (813MB/s-813MB/s), io=45.4GiB (48.8GB), run=60006-60006msec


# ISCSI 40G randomread / 4K Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=4k --filename=/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdi
random: (g=0): rw=randread, bs=(R) 4096B-4096B, (W) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=168): [r(24)][100.0%][r=774MiB/s][r=198k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=15458: Mon Sep 6 15:50:47 2021
read: IOPS=191k, BW=748MiB/s (784MB/s)(43.8GiB/60006msec)
slat (nsec): min=1448, max=7725.9k, avg=13066.78, stdev=88385.75
clat (nsec): min=453, max=133793k, avg=3998356.78, stdev=4780447.02
lat (usec): min=41, max=133799, avg=4011.54, stdev=4788.26
clat percentiles (usec):
| 1.00th=[ 101], 5.00th=[ 163], 10.00th=[ 235], 20.00th=[ 429],
| 30.00th=[ 562], 40.00th=[ 889], 50.00th=[ 1827], 60.00th=[ 3326],
| 70.00th=[ 5342], 80.00th=[ 7898], 90.00th=[11076], 95.00th=[13173],
| 99.00th=[16450], 99.50th=[17957], 99.90th=[39584], 99.95th=[49021],
| 99.99th=[69731]
bw ( KiB/s): min=694107, max=869120, per=99.99%, avg=765602.99, stdev=1348.88, samples=2880
iops : min=173526, max=217280, avg=191400.38, stdev=337.23, samples=2880
lat (nsec) : 500=0.01%, 750=0.01%, 1000=0.01%
lat (usec) : 10=0.01%, 20=0.01%, 50=0.03%, 100=0.93%, 250=9.96%
lat (usec) : 500=14.47%, 750=12.39%, 1000=3.50%
lat (msec) : 2=10.14%, 4=12.15%, 10=23.47%, 20=12.57%, 50=0.33%
lat (msec) : 100=0.05%, 250=0.01%
cpu : usr=1.12%, sys=7.28%, ctx=9892062, majf=0, minf=3094
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=11485797,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=748MiB/s (784MB/s), 748MiB/s-748MiB/s (784MB/s-784MB/s), io=43.8GiB (47.0GB), run=60006-60006msec


Disk stats (read/write):
sdb: ios=1636185/0, merge=402/0, ticks=7250108/0, in_queue=4069412, util=99.81%
sdc: ios=1635633/0, merge=792/0, ticks=12912668/0, in_queue=9608452, util=99.83%
sdd: ios=1635621/0, merge=780/0, ticks=13037229/0, in_queue=9730660, util=99.83%
sde: ios=1635806/0, merge=595/0, ticks=10056963/0, in_queue=6780712, util=99.85%
sdf: ios=1636581/0, merge=0/0, ticks=733002/0, in_queue=380, util=99.85%
sdg: ios=1636578/0, merge=1/0, ticks=739285/0, in_queue=224, util=99.86%
sdi: ios=1636575/0, merge=1/0, ticks=747859/0, in_queue=2224, util=99.87%


# 32G FC randomwrite / 4k Block size


fio --rw=randwrite --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=4k --filename=/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdi
random: (g=0): rw=randwrite, bs=(R) 4096B-4096B, (W) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=168): [w(24)][100.0%][w=571MiB/s][w=146k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=19103: Mon Sep 6 12:39:37 2021
write: IOPS=149k, BW=583MiB/s (612MB/s)(34.2GiB/60011msec); 0 zone resets
slat (nsec): min=1536, max=8444.5k, avg=18333.39, stdev=12948.59
clat (nsec): min=968, max=206384k, avg=5120638.24, stdev=15466276.36
lat (usec): min=64, max=206398, avg=5139.42, stdev=15466.41
clat percentiles (usec):
| 1.00th=[ 83], 5.00th=[ 96], 10.00th=[ 114], 20.00th=[ 172],
| 30.00th=[ 285], 40.00th=[ 486], 50.00th=[ 791], 60.00th=[ 1221],
| 70.00th=[ 1844], 80.00th=[ 2999], 90.00th=[ 8160], 95.00th=[ 30278],
| 99.00th=[ 86508], 99.50th=[105382], 99.90th=[143655], 99.95th=[154141],
| 99.99th=[175113]
bw ( KiB/s): min=465344, max=753730, per=100.00%, avg=597355.98, stdev=2284.86, samples=2880
iops : min=116336, max=188432, avg=149338.43, stdev=571.22, samples=2880
lat (nsec) : 1000=0.01%
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.01%
lat (usec) : 100=6.28%, 250=21.17%, 500=13.12%, 750=8.19%, 1000=6.45%
lat (msec) : 2=16.69%, 4=12.38%, 10=6.63%, 20=2.48%, 50=3.68%
lat (msec) : 100=2.29%, 250=0.62%
cpu : usr=3.48%, sys=13.75%, ctx=8659903, majf=0, minf=2222
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=0,8962181,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
WRITE: bw=583MiB/s (612MB/s), 583MiB/s-583MiB/s (612MB/s-612MB/s), io=34.2GiB (36.7GB), run=60011-60011msec


Disk stats (read/write):
sdb: ios=60/1276063, merge=0/10, ticks=229/36668272, in_queue=34103068, util=99.86%
sdc: ios=75/1276708, merge=0/0, ticks=15/410877, in_queue=1128, util=99.91%
sdd: ios=79/1276642, merge=0/1, ticks=179/1678837, in_queue=374496, util=99.93%
sde: ios=96/1276704, merge=0/0, ticks=12/381689, in_queue=1324, util=99.95%
sdf: ios=106/1276699, merge=0/0, ticks=55/1522075, in_queue=281904, util=99.97%
sdg: ios=112/1276685, merge=0/2, ticks=190/3300093, in_queue=1135392, util=99.98%
sdi: ios=134/1276689, merge=0/0, ticks=76/1709044, in_queue=380036, util=99.99%


# 32G FC randomread / 4k Block size


fio --rw=randread --ioengine=libaio --name=random --size=20g --direct=1 --invalidate=1 --fsync_on_close=1 --norandommap --group_reporting --exitall --runtime=60 --time_based --iodepth=32 --numjobs=24 --bs=4k --filename=/dev/sdb:/dev/sdc:/dev/sdd:/dev/sde:/dev/sdf:/dev/sdg:/dev/sdi
random: (g=0): rw=randread, bs=(R) 4096B-4096B, (W) 4096B-4096B, (T) 4096B-4096B, ioengine=libaio, iodepth=32
...
fio-3.16
Starting 24 processes
Jobs: 24 (f=168): [r(24)][100.0%][r=711MiB/s][r=182k IOPS][eta 00m:00s]
random: (groupid=0, jobs=24): err= 0: pid=22947: Mon Sep 6 12:41:45 2021
read: IOPS=174k, BW=681MiB/s (714MB/s)(39.9GiB/60008msec)
slat (usec): min=3, max=866, avg=13.71, stdev=16.95
clat (nsec): min=831, max=350900k, avg=4390257.27, stdev=9790207.13
lat (usec): min=54, max=350908, avg=4404.42, stdev=9790.54
clat percentiles (usec):
| 1.00th=[ 71], 5.00th=[ 103], 10.00th=[ 167], 20.00th=[ 314],
| 30.00th=[ 506], 40.00th=[ 758], 50.00th=[ 1123], 60.00th=[ 1762],
| 70.00th=[ 2933], 80.00th=[ 5211], 90.00th=[ 11076], 95.00th=[ 19792],
| 99.00th=[ 49546], 99.50th=[ 63701], 99.90th=[ 94897], 99.95th=[106431],
| 99.99th=[141558]
bw ( KiB/s): min=323440, max=805868, per=99.99%, avg=696941.88, stdev=2159.13, samples=2880
iops : min=80860, max=201467, avg=174234.88, stdev=539.78, samples=2880
lat (nsec) : 1000=0.01%
lat (usec) : 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.05%
lat (usec) : 100=4.60%, 250=11.17%, 500=13.87%, 750=10.04%, 1000=7.32%
lat (msec) : 2=15.47%, 4=13.00%, 10=13.32%, 20=6.23%, 50=3.92%
lat (msec) : 100=0.90%, 250=0.07%, 500=0.01%
cpu : usr=3.82%, sys=12.08%, ctx=9466133, majf=0, minf=1922
IO depths : 1=0.1%, 2=0.1%, 4=0.1%, 8=0.1%, 16=0.1%, 32=100.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.1%, 64=0.0%, >=64=0.0%
issued rwts: total=10456193,0,0,0 short=0,0,0,0 dropped=0,0,0,0
latency : target=0, window=0, percentile=100.00%, depth=32


Run status group 0 (all jobs):
READ: bw=681MiB/s (714MB/s), 681MiB/s-681MiB/s (714MB/s-714MB/s), io=39.9GiB (42.8GB), run=60008-60008msec


Disk stats (read/write):
sdb: ios=1489948/0, merge=10/0, ticks=12879145/0, in_queue=10228592, util=99.85%
sdc: ios=1490311/0, merge=0/0, ticks=922770/0, in_queue=22108, util=99.41%
sdd: ios=1490078/0, merge=7/0, ticks=9530967/0, in_queue=6992564, util=99.42%
sde: ios=1490308/0, merge=0/0, ticks=537624/0, in_queue=8, util=99.48%
sdf: ios=1490288/0, merge=9/0, ticks=10328780/0, in_queue=7750484, util=99.43%
sdg: ios=1490305/0, merge=0/0, ticks=932092/0, in_queue=26688, util=99.45%
sdi: ios=1490132/0, merge=8/0, ticks=10470841/0, in_queue=7889748, util=99.45%
Products / Solution Briefs / Technical - 09/05/2021

NGX Software 1.8.4 Released

user_work_ex2

Released in April 2021, NGX Storage 1.8.4 Software provides new features, simplified management experience, new visual reports, new data access protocols, and reliability enhancements for both physical and logical error detection and prevention.

Over the years we improved our core software features in terms of simplicity and reliability. As always, updating to the latest "NGX_Software_1.8.4" is very simple. Just upload the image from the GUI and it's done automatically.

NGX Storage Software Update Screeb

Non-disruptive upgrade process completes in less than 30 seconds. However if you want our support engineers can handle this operation on behalf of you.

 

What’s New

S3 Object Service

-Support for S3 includes the following:

  • Compatible with Amazon S3 cloud storage service
  • Accessing to both S3 and NAS from the same bucket
  • Object tagging and versioning (with ngxclient)
  • TLS 1.2 encryption
  • Multi-part uploads
  • Adjustable dedicated IP
  • Multiple buckets per volume
  • Bucket access policies, read-only and read-write
  • Multiple user support
  • WORM (Write Once Read Many)
  • Snapshot and Clone from NAS share
  • All  S3 features can be manage via GUI

 

Detailed storage report

Including capacity trends, drill down lun and share statistics can be generated as downloadable report

Access restriction to api and ui

Improved security, access restriction for both GUI and API interfaces.

Improved drive latency detection and error preventation

NGX proactive error prediction improves storage system reliability which is de-facto at our high-end storage systems. With this update, hard drive error detection and prevention technology came to whole product families at all.

Additional Share and LUN delete notification and warnings

Additional acknowledgement confirmation to protect mistakenly delete or modify operation for LUNs and Shares.

All Share exports protocols can be disable now

Disabling whole share protocols (NFS, SMB, S3 ) can be done without deleting the share.

ifconfig compatible print for all network interfaces and their mac, vrrp addresses

Network interfaces and their status are included the GUI with  *nix compatible ifconfig output.

Bug Fixes

Sending too much mail during RAID rebuild bug fixed.

notes

Before upgrading to 1.8.4 version you should update your storage software to 1.8.3 version. A quick overview about 1.8.3 software attached below:

-- NEW

  • Emulex FC 16/32G support added
  • Encrypted Pools for better protection
  • Management login from Active Directory
  • WORM Feature
  • User Quota for shares
  • Recursive ACL for shares
  • Exports share names without pool-names
  • Share default quoata for homedir
  • LUN / Share names now accept underscore and hypen
  • Veritas DataInsight improved performance for SID queries
  • Test Mail button for alert notifications
  • SMB Local user syncs between controller nodes
  • New JBODS (NGX-D4060, NGX-D2024, NGX-D3016, NGX-D2012) support
  • Improved LUN performance for sequential I/O  

-- BUG FIX

  • FAULTED drive notification logs repeated too much.
  • WMware calculates wrong offset for luns, identify them with 4kn now. With this fix you can export 128k block size LUNs to VMware.
  • Show all initaitor display bug at FibreChannel menu fixed.

 

Learn more or download updates from https://support.ngxstorage.com

Company / General / News / Products - 04/10/2021

Latest News

Products

Applications

Industries

Company

Contact Us

NGX Storage HQ

Hacettepe Teknokent, Safir C Blok No:31 Ankara / Turkey

+90 312 227 04 74

info@ngxstorage.com

footer-logo

© 2024 - All Rights Reserved - NGX Storage