Microsoft Azure Elastic SAN from Cloud to On-Prem

What is Azure Elastic SAN

Azure Elastic SAN (AES) is a new (now GA) Azure Cloud native storage service that provides scalable, resilient, easy management with rapid provisioning, high performance, and cost-effective storage. AES (figure 1) supports many workloads and computing resources. Workloads that benefit from AES include tier 1 and tier 2, such as Mission Critical, Database, and VDI, among others traditionally relying upon consolidated Storage Area Network (SAN) shared storage.

Compute resources that can use AES, including bare metal (BM) physical machines (PM), virtual machines (VM), and containers, among others, using iSCSI for access. AES is accessible by computing resources and services within the Azure Cloud in various regions (check Azure Website for specific region availability) and from on-prem core and edge locations using iSCSI. The AES management experience and value proposition are similar to traditional hardware or software-defined shared SAN storage combined with Azure cloud-based management capabilities.

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 1 General Concept and Use of Azure Elastic SAN (AES)

While Microsoft Azure describes AES as a cloud-native storage solution, that does not mean that AES is only for containers and other cloud-native apps or DevOPS. Rather, AES has been built for and is native to the cloud (e.g., software-defined) that can be accessed by various compute and other resources (e.g., VMs, Containers, AKS, etc) using iSCSI.

How Azure Elastic SAN differs from other Azure Storage

AES differs from traditional Azure block storage (e.g., Azure Disks) in that the storage is independent of the host compute server (e.g., BM, PM, VM, containers). With AES, similar to a conventional software-defined or hardware-based shared SAN solution, storage is disaggregated from host servers for sharing and management using iSCSI for connectivity. By comparison, AES differs from traditional Azure VM-based storage typically associated with a given virtual machine in a DAS (Direct Attached Storage) type configuration. Likewise, similar to conventional on-prem environments, there is a mix of DAS and SAN, including some host servers that leverage both.

AES supports Azure VM, Azure Kubernetes Service (AKS), cloud-native, edge, and on-prem computing (BM, VM, etc.) via iSCSI. Support for Azure VMware Solution (AVS) is in preview; check the Microsoft Azure website for updates and new feature functionality enhancements.

Does this mean everything is moving to AES? Similar to traditional SANs, there are roles and needs for various storage options, including DAS, shared block, file, and object, among storage offerings. Likewise, Microsoft and Azure have expanded their storage offerings to include AES, DAS (azure disks, including Ultra, premium, and standard, among other options), append, block, and page blobs (objects), and files, including Azure file sync, tables, and Data Box, among other storage services.

Azure Elastic Storage Feature Highlights

AES feature highlights include, among others:

    • Management via Azure Portal and associated tools
    • Azure cloud-based shared scalable bock storage
    • Scalable capacity, low latency, and high performance (IOPs and throughput)
    • Space capacity-optimized without the need for data reduction
    • Accessible from within Azure cloud and from on-prem using iSCSI
    • Supports Azure compute  (VMs, Containers/AKS, Azure VMware Solution)
    • On-prem access via iSCSI from PM/BM, VM, and containers
    • Variable number of volumes and volume size per volume group
    • Flexible easy to use Azure cloud-based management
    • Encryption and network private endpoint security
    • Local (LRS) and Zone (ZRS) with replication resiliency
    • Volume snapshots and cluster support

Who is Azure Elastic SAN for

AES is for those who need cost-effective, shared, resilient, high capacity, high performance (IOPS, Bandwidth), and low latency block storage within Azure and from on-prem access. Others who can benefit from AES include those who need shared block storage for clustering app workloads, server and storage consolidation, and hybrid and migration. Another consideration is for those familiar with traditional hardware and software-defined SANs to facilitate hybrid and migration strategies.

How Azure Elastic SAN works

Azure Elastic SAN is a software-defined (cloud native if you prefer) block storage offering that presents a virtual SAN accessible within Azure Cloud and to on-prem core and edge locations currently via iSCSI. Using iSCSI, Azure VMs, Clusters, Containers, Azure VMware Solution among other compute and services, and on-prem BM/PM, VM, and containers, among others, can access AES storage volumes.

From the Azure Portal or associated tools (Azure CLI or PowerShell), create an AES SAN, giving it a 3 to 24-character name and specify storage capacity (base units with performance and any additional space capacity). Next, create a Volume Group, assigning it to a specific subscription and resource group (new or existing), then specify which Azure Region to use, type of redundancy (LRS or GRS), and Zone to use. LRS provides local redundancy, while ZRS provides enhanced zone resiliency, with highspeed synchronous resiliency without setting up multiple SAN systems and their associated replication configurations along with networking considerations (e.g., Azure takes care of that for you within their service).

The next step is to create volumes by specifying the volume name, volume group to use, volume size in GB, maximum IOPs, and bandwidth. Once you have made your AES volume group and volumes, you can create private endpoints, change security and access controls, and access the volumes from Azure or on-prem resources using iSCSI. Note that AES currently needs to be LRS (not ZRS) for clustered shared storage and that Key management includes using your keys with Azure key vault.

Using Azure Elastic SAN

Using AES is straightforward, and there are good easy to follow guides from Microsoft Azure, including the following:

The following images show what AES looks like from the Azure Portal, as well as from an Azure Windows Server VM and an onprem physical machine (e.g., Windows 10 laptop).

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 2 AES Azure Portal Big Picture

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 3 AES Volume Groups Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 4  AES Volumes Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 5 AES Volume Snapshot Views

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 6 AES Connected Volume Portal View

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 7 AES Volume iSCSI view from on-prem Windows Laptop

Microsoft Azure Elastic SAN from cloud to on-prem server storageioblog
Figure 8 AES iSCSI Volume attached to Azure VM

Azure Elastic SAN Cost Pricing

The cost of AES is elastic, depending on whether you scale capacity with performance (e.g., base unit) or add more space capacity. If you need more performance, add base unit capacity, increasing IOPS, bandwidth, and space. In other words, base capacity includes storage space and performance, which you can grow in various increments. Remember that AES storage resources get shared across volumes within a volume group.

Azure Elastic SAN is billed hourly based on a monthly per-capacity base unit rate, with a minimum of 1TB  provisioned capacity with minimum performance (e.g., 5,000 IOPs, 200MBps bandwidth). The base unit rate varies by region and type of redundancy, aka resiliency. For example, at the time of this writing, looking at US East, the Local Redundant Storage (LRS) base unit rate is 1TB with 5,000 IOPs and 200MBps bandwidth, costing $81.92 per unit per month.

The above example breaks down to a rate of $0.08 per GB per month, or $0.000110 per GB per hour (assumes 730 hours per month). An example of simply adding storage capacity without increasing base unit (e.g., performance) for US East is $61.44 per month. That works out to $0.06 per GB per month (no additional provisioned IOPs or Bandwidth) or $0.000083 per GB per hour.

Note that there are extra fees for Zone Redundant Storage (ZRS). Learn more about Azure Elastic SAN pricing here, as well as via a cost calculator here.

Azure Elastic SAN Performance

Performance for Azure Elastic SAN includes IOPs, Bandwidth, and Latency. AES IOPs get increased in increments of 5,000 per base TB. Thus, an AES with a base of 10TB would have 50,000 IOPs distributed (shared) across all of its volumes (e.g., volumes are not restricted). For example, if the base TB is increased from 10TB to 20TB, then the IOPs would increase from 50,000 to 100,000 IOPs.

On the other hand, if the base capacity (10TB) is not increased, only the storage capacity would increase from 10TB to 20TB, and the AES would have more capacity but still only have the 50,000 IOPs. AES bandwidth throughput increased by 200MBps per TB. For example, a 5TB AES would have 5 x 200MBps (1,000 MBps) throughput bandwidth shared across the volume groups volumes.

Note that while the performance gets shared across volumes, individual volume performance is determined by its capacity with a maximum of 80,000 IOPs and up to 1,024 MBps. Thus, to reach 80,000 IOPS and 1,024 MBps, an AES volume would have to be at least 107GB in space capacity. Also, note that the aggregate performance of all volumes cannot exceed the total of the AES. If you need more performance, then create another AES.

Will all VMs or compute resources see performance improvements with AES? Traditional Azure Disks associated with VMs have per-disk performance resource limits, including IOPs and Bandwidth. Likewise, VMs have storage limits based on their instance type and size, including the number of disks (HDD or SSD), performance (IOPS and bandwidth), and the number of CPUs and memory.

What this means is that an AES volume could have more performance than what a given VM is limited to. Refer to your VM instance sizing and configuration to determine its IOP and bandwidth limits; if needed, explore changing the size of your VM instance to leverage the performance of Azure Elastic SAN storage.

Additional Resources Where to learn more

The following links are additional resources to learn about Microsoft Azure Elastic SAN and related data infrastructures and tradecraft topics.

Azure AKS Storage Concepts 
Azure Elastic SAN (AES) Documentation and Deployment Guides
Azure Elastic SAN Microsoft Blog
Azure Elastic SAN Overview
Azure Elastic SAN Performance topics
Azure Elastic SAN Pricing calculator
Azure Products by Region (see where AES is currently available)
Azure Storage Offerings 
Azure Virtual Machine (VM) sizes
Azure Virtual Machine (VM) types
Azure Elastic SAN General Pricing
Azure Storage redundancy 
Azure Service Level Agreements (SLA) 
StorageIOBlog.com Data Box Family 
StorageIOBlog.com Data Box Review
StorageIOBlog.com Data Box Test Drive 
StorageIOblog.com Microsoft Hyper-V Alive Enhanced with Win Server 2025
StorageIOblog.com If NVMe is the answer, what are the questions?
StorageIOblog.com NVMe Primer (or refresh)

Additional learning experiences along with common questions (and answers), are found in my Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What this all means

Azure Elastic SAN (AES) is a new and now generally available shared block storage offering that is accessible using iSCSI from within Azure Cloud and on-prem environments. Even with iSCSI, AES is relatively easy to set up and use for shared storage, mainly if you are used to or currently working with hardware or software-defined SAN storage solutions.

With NVMe over TCP fabrics gaining industry and customer traction, I’m hoping for Microsoft to adding that in the future. Currently, AES supports LRS and ZRS for redundancy, and an excellent future enhancement would be to add Geo Redundant Storage (GRS) capabilities for those who need it.

I like the option of elastic shared storage regarding performance, availability, capacity, and economic costs (PACE). Suppose you understand the value proposition of evolving from dedicated DAS to shared SAN (independent of the underlying fabric network); or are currently using some form of on-prem shared block storage. In that case, you will find AES familiar and easy to use. Granted, AES is not a solution for everything as there are roles for other block storage, including DAS such as Azure disks and VMs within Azure, along with on-prem DAS, as well as file, object, and blobs, tables, among others.

Wrap up

The notion that all cloud storage must be objects or blobs is tied those who only need, provide, or prefer those solutions. The reality is that everything is not the same. Thus, there is a need for various storage mediums, devices, tiers, access, and types of services. Microsoft and Azure have done an excellent job of providing. I like what Microsoft Azure is doing with Azure Elastic SAN.

Ok, nuff said, for now.

Cheers Gs

Greg Schulz – Nine time Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2018. Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of UnlimitedIO LLC.

Which Enterprise HDD for Content Applications General I/O Performance

Which HDD for Content Applications general I/O Performance

hdd general i/o performance server storage I/O trends

Updated 1/23/2018

Which enterprise HDD to use with a content server platform general I/O performance Insight for effective server storage I/O decision making
Server StorageIO Lab Review

Which enterprise HDD to use for content servers

This is the sixth in a multi-part series (read part five here) based on a white paper hands-on lab report I did compliments of Servers Direct and Seagate that you can read in PDF form here. The focus is looking at the Servers Direct (www.serversdirect.com) converged Content Solution platforms with Seagate Enterprise Hard Disk Drive (HDD’s). In this post the focus is around general I/O performance including 8KB and 128KB IOP sizes.

General I/O Performance

In addition to running database and file (large and small) processing workloads, Vdbench was also used to collect basic small (8KB) and large (128KB) sized I/O operations. This consisted of random and sequential reads as well as writes with the results shown below. In addition to using vdbench, other tools that could be used include Microsoft Diskspd, fio, iorate and iometer among many others.

These workloads used Vdbench configured (13) to do direct I/O to a Windows file system mounted device using as much of the available disk space as possible. All workloads used 16 threads and were run concurrently similar to database and file processing tests.

(Note 13) Sample vdbench configuration for general I/O, note different settings were used for various tests

Table-7 shows workload results for 8KB random IOPs 75% reads and 75% writes including IOPs, bandwidth and response time.

 

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

 

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

I/O Rate (IOPs)

597.11

559.26

514

475

285

293

979

984

491

644

MB/sec

4.7

4.4

4.0

3.7

2.2

2.3

7.7

7.7

3.8

5.0

Resp. Time (Sec.)

25.9

27.6

30.2

32.7

55.5

53.7

16.3

16.3

32.6

24.8

Table-7 8KB sized random IOPs workload results

Figure-6 shows small (8KB) random I/O (75% read and 25% read) across different HDD configurations. Performance including activity rates (e.g. IOPs), bandwidth and response time for mixed reads / writes are shown. Note how response time increases with the Enterprise Capacity configurations vs. other performance optimized drives.

general 8K random IO
Figure-6 8KB random reads and write showing IOP activity, bandwidth and response time

Table-8 below shows workload results for 8GB sized I/Os 100% sequential with 75% reads and 75% writes including IOPs, MB/sec and response time in seconds.

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

75% Read

25% Read

I/O Rate (IOPs)

3,778

3,414

3,761

3,986

3,379

1,274

11,840

8,368

2,891

1,146

MB/sec

29.5

26.7

29.4

31.1

26.4

10.0

92.5

65.4

22.6

9.0

Resp. Time (Sec.)

2.2

3.1

2.3

2.4

2.7

10.9

1.3

1.9

5.5

14.0

Table-8 8KB sized sequential workload results

Figure-7 shows small 8KB sequential mixed reads and writes (75% read and 75% write), while the Enterprise Capacity 2TB HDD has a large amount of space capacity, its performance in a RAID 1 vs. other similar configured drives is slower.

8KB Sequential
Figure-7 8KB sequential 75% reads and 75% write showing bandwidth activity

Table-9 shows workload results for 100% sequential, 100% read and 100% write 128KB sized I/Os including IOPs, bandwidth and response time.

ENT 15K RAID1

ENT 10K RAID1

ENT CAP RAID1

ENT 10K R10
(4 Drives)

ECAP SW RAID (5 Drives)

Read

Write

Read

Write

Read

Write

Read

Write

Read

Write

I/O Rate (IOPs)

1,798

1,771

1,716

1,688

921

912

3,552

3,486

780

721

MB/sec

224.7

221.3

214.5

210.9

115.2

114.0

444.0

435.8

97.4

90.1

Resp. Time (Sec.)

8.9

9.0

9.3

9.5

17.4

17.5

4.5

4.6

19.3

20.2

Table-9 128KB sized sequential workload results

Figure-8 shows sequential or streaming operations of larger I/O (100% read and 100% write) requests sizes (128KB) that would be found with large content applications. Figure-8 highlights the relationship between lower response time and increased IOPs as well as bandwidth.

128K Sequential
Figure-8 128KB sequential reads and write showing IOP activity, bandwidth and response time

Where To Learn More

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Some content applications are doing small random I/Os for database, key value stores or repositories as well as meta data processing while others are doing large sequential I/O. 128KB sized I/O may be large for your environment, on the other hand, with an increasing number of applications, file systems, software defined storage management tools among others, 1 to 10MB or even larger I/O sizes are becoming common. Key is selecting I/O sizes and read write as well as random sequential along with I/O or queue depths that align with your environment.

Continue reading part seven the final post in this multi-part series here where the focus is around how HDD’s continue to evolve including performance beyond traditional RPM based execrations along with wrap up.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Server Storage I/O Benchmark Performance Resource Tools

Server Storage I/O Benchmarking Performance Resource Tools

server storage I/O trends

Updated 1/23/2018

Server storage I/O benchmark performance resource tools, various articles and tips. These include tools for legacy, virtual, cloud and software defined environments.

benchmark performance resource tools server storage I/O performance

The best server and storage I/O (input/output operation) is the one that you do not have to do, the second best is the one with the least impact.

server storage I/O locality of reference

This is where the idea of locality of reference (e.g. how close is the data to where your application is running) comes into play which is implemented via tiered memory, storage and caching shown in the figure above.

Cloud virtual software defined storage I/O

Server storage I/O performance applies to cloud, virtual, software defined and legacy environments

What this has to do with server storage I/O (and networking) performance benchmarking is keeping the idea of locality of reference, context and the application workload in perspective regardless of if cloud, virtual, software defined or legacy physical environments.

StorageIOblog: I/O, I/O how well do you know about good or bad server and storage I/Os?
StorageIOblog: Server and Storage I/O benchmarking 101 for smarties
StorageIOblog: Which Enterprise HDDs to use for a Content Server Platform (7 part series with using benchmark tools)
StorageIO.com: Enmotus FuzeDrive MicroTiering lab test using various tools
StorageIOblog: Some server storage I/O benchmark tools, workload scripts and examples (Part I) and (Part II)
StorageIOblog: Get in the NVMe SSD game (if you are not already)
Doridmen.com: Transcend SSD360S Review with tips on using ATTO and Crystal benchmark tools
ComputerWeekly: Storage performance metrics: How suppliers spin performance specifications

Via StorageIO Podcast: Kevin Closson discusses SLOB Server CPU I/O Database Performance benchmarks
Via @KevinClosson: SLOB Use Cases By Industry Vendors. Learn SLOB, Speak The Experts’ Language
Via BeyondTheBlocks (Reduxio): 8 Useful Tools for Storage I/O Benchmarking
Via CCSIObench: Cold-cache Sequential I/O Benchmark
Doridmen.com: Transcend SSD360S Review with tips on using ATTO and Crystal benchmark tools
CISJournal: Benchmarking the Performance of Microsoft Hyper-V server, VMware ESXi and Xen Hypervisors (PDF)
Microsoft TechNet:Windows Server 2016 Hyper-V large-scale VM performance for in-memory transaction processing
InfoStor: What’s The Best Storage Benchmark?
StorageIOblog: How to test your HDD, SSD or all flash array (AFA) storage fundamentals
Via ATTO: Atto V3.05 free storage test tool available
Via StorageIOblog: Big Files and Lots of Little File Processing and Benchmarking with Vdbench

Via StorageIO.com: Which Enterprise Hard Disk Drives (HDDs) to use with a Content Server Platform (White Paper)
Via VMware Blogs: A Free Storage Performance Testing Tool For Hyperconverged
Microsoft Technet: Test Storage Spaces Performance Using Synthetic Workloads in Windows Server
Microsoft Technet: Microsoft Windows Server Storage Spaces – Designing for Performance
BizTech: 4 Ways to Performance-Test Your New HDD or SSD
EnterpriseStorageForum: Data Storage Benchmarking Guide
StorageSearch.com: How fast can your SSD run backwards?
OpenStack: How to calculate IOPS for Cinder Storage ?
StorageAcceleration: Tips for Measuring Your Storage Acceleration

server storage I/O STI and SUT

Spiceworks: Determining HDD SSD SSHD IOP Performance
Spiceworks: Calculating IOPS from Perfmon data
Spiceworks: profiling IOPs

vdbench server storage I/O benchmark
Vdbench example via StorageIOblog.com

StorageIOblog: What does server storage I/O scaling mean to you?
StorageIOblog: What is the best kind of IO? The one you do not have to do
Testmyworkload.com: Collect and report various OS workloads
Whoishostingthis: Various SQL resources
StorageAcceleration: What, When, Why & How to Accelerate Storage
Filesystems.org: Various tools and links
StorageIOblog: Can we get a side of context with them IOPS and other storage metrics?

flash ssd and hdd

BrightTalk Webinar: Data Center Monitoring – Metrics that Matter for Effective Management
StorageIOblog: Enterprise SSHD and Flash SSD Part of an Enterprise Tiered Storage Strategy
StorageIOblog: Has SSD put Hard Disk Drives (HDD’s) On Endangered Species List?

server storage I/O bottlenecks and I/O blender

Microsoft TechNet: Measuring Disk Latency with Windows Performance Monitor (Perfmon)
Via Scalegrid.io: How to benchmark MongoDB with YCSB? (Perfmon)
Microsoft MSDN: List of Perfmon counters for sql server
Microsoft TechNet: Taking Your Server’s Pulse
StorageIOblog: Part II: How many IOPS can a HDD, HHDD or SSD do with VMware?
CMG: I/O Performance Issues and Impacts on Time-Sensitive Applications

flash ssd and hdd

Virtualization Practice: IO IO it is off to Storage and IO metrics we go
InfoStor: Is HP Short Stroking for Performance and Capacity Gains?
StorageIOblog: Is Computer Data Storage Complex? It Depends
StorageIOblog: More storage and IO metrics that matter
StorageIOblog: Moving Beyond the Benchmark Brouhaha
Yellow-Bricks: VSAN VDI Benchmarking and Beta refresh!

server storage I/O benchmark example

YellowBricks: VSAN performance: many SAS low capacity VS some SATA high capacity?
YellowBricsk: VSAN VDI Benchmarking and Beta refresh!
StorageIOblog: Seagate 1200 12Gbs Enterprise SAS SSD StorgeIO lab review
StorageIOblog: Part II: Seagate 1200 12Gbs Enterprise SAS SSD StorgeIO lab review
StorageIOblog: Server Storage I/O Network Benchmark Winter Olympic Games

flash ssd and hdd

VMware VDImark aka View Planner (also here, here and here) as well as VMmark here
StorageIOblog: SPC and Storage Benchmarking Games
StorageIOblog: Speaking of speeding up business with SSD storage
StorageIOblog: SSD and Storage System Performance

Hadoop server storage I/O performance
Various Server Storage I/O tools in a hadoop environment

Michael-noll.com: Benchmarking and Stress Testing an Hadoop Cluster With TeraSort, TestDFSIO
Virtualization Practice: SSD options for Virtual (and Physical) Environments Part I: Spinning up to speed on SSD
StorageIOblog: Storage and IO metrics that matter
InfoStor: Storage Metrics and Measurements That Matter: Getting Started
SilvertonConsulting: Storage throughput vs. IO response time and why it matters
Splunk: The percentage of Read / Write utilization to get to 800 IOPS?

flash ssd and hdd
Various server storage I/O benchmarking tools

Spiceworks: What is the best IO IOPs testing tool out there
StorageIOblog: How many IOPS can a HDD, HHDD or SSD do?
StorageIOblog: Some Windows Server Storage I/O related commands
Openmaniak: Iperf overview and Iperf.fr: Iperf overview
StorageIOblog: Server and Storage I/O Benchmark Tools: Microsoft Diskspd (Part I and Part II)
Quest: SQL Server Perfmon Poster (PDF)
Server and Storage I/O Networking Performance Management (webinar)
Data Center Monitoring – Metrics that Matter for Effective Management (webinar)
Flash back to reality – Flash SSD Myths and Realities (Industry trends & benchmarking tips), (MSP CMG presentation)
DBAstackexchange: How can I determine how many IOPs I need for my AWS RDS database?
ITToolbox: Benchmarking the Performance of SANs

server storage IO labs

StorageIOblog: Dell Inspiron 660 i660, Virtual Server Diamond in the rough (Server review)
StorageIOblog: Part II: Lenovo TS140 Server and Storage I/O Review (Server review)
StorageIOblog: DIY converged server software defined storage on a budget using Lenovo TS140
StorageIOblog: Server storage I/O Intel NUC nick knack notes First impressions (Server review)
StorageIOblog & ITKE: Storage performance needs availability, availability needs performance
StorageIOblog: Why SSD based arrays and storage appliances can be a good idea (Part I)
StorageIOblog: Revisiting RAID storage remains relevant and resources

Interested in cloud and object storage visit our objectstoragecenter.com page, for flash SSD checkout storageio.com/ssd page, along with data protection, RAID, various industry links and more here.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

Watch for additional links to be added above in addition to those that appear via comments.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Enterprise SSHD and Flash SSD Part of an Enterprise Tiered Storage Strategy

Enterprise SSHD and Flash SSD Part of an Enterprise Tiered Storage Strategy

The question to ask yourself is not if flash Solid State Device (SSD) technologies are in your future.

Instead the questions are when, where, using what, how to configure and related themes. SSD including traditional DRAM and NAND flash-based technologies are like real estate where location matters; however, there are different types of properties to meet various needs. This means leveraging different types of NAND flash SSD technologies in different locations in a complementary and cooperative aka hybrid way.

Introducing Solid State Hybrid Drives (SSHD)

Solid State Hybrid Disks (SSHD) are the successors to previous generation Hybrid Hard Disk Drives (HHDD) that I have used for several years (you can read more about them here, and here).

While it would be nice to simply have SSD for everything, there are also economic budget realities to be dealt with. Keep in mind that a bit of nand flash SSD cache in the right location for a given purpose can go a long way which is the case with SSHDs. This is also why in many environments today there is a mix of SSD, HDD of various makes, types, speeds and capacities (e.g. different tiers) to support diverse application needs (e.g. not everything in the data center is the same).

However, If you have the need for speed and can afford or benefit from the increased productivity by all means go SSD!

Otoh if you have budget constraints and need more space capacity yet want some performance boost, then SSHDs are an option. The big difference however between today’s SSHDs that are available for both enterprise class storage systems and servers, as well as desktop environments is that they can accelerate both reads and writes. This is different from their predecessors that I have used for several years now that had basic read acceleration, however no write optimizations.

SSHD storage I/O oppourtunity
Better Together: Where SSHDs fit in an enterprise tiered storage environment with SSD and HDDs

As their names imply, they are a hybrid between a nand flash Solid State Device (SSD) and traditional Hard Disk Drive (HDD) meaning a best of situation. This means that the SSHD are based on a traditional spinning HDD (various models with different speeds, space capacity, interfaces) along with DRAM (which is found on most modern HDDs), along with nand flash for read cache, and some extra nonvolatile memory for persistent write cache combined with a bit of software defined storage performance optimization algorithms.

Btw, if you were paying attention to that last sentence you would have picked up on something about nonvolatile memory being used for persistent write cache which should prompt the question would that help with nand flash write endurance? Yup.

Where and when to use SSHD?

In the StorageIO Industry Trends Perspective thought leadership white paper I recently released compliments of Seagate Enterprise Turbo SSHD (that’s a disclosure btw ;) enterprise class Solid State Hybrid Drives (SSHD) were looked at and test driven in the StorageIO Labs with various application workloads. These activities include being in a virtual environment for common applications including database and email messaging using industry standard benchmark workloads (e.g. TPC-B and TPC-E for database, JetStress for Exchange).

Storage I/O sshd white paper

Conventional storage system focused workloads using iometer, iorate and vdbench were also run in the StorageIO Labs to set up baseline reads, writes, random, sequential, small and large I/O size with IOPs, bandwidth and response time latency results. Some of those results can be found here (Part II: How many IOPS can a HDD, HHDD or SSD do with VMware?) with other ongoing workloads continuing in different configurations. The various test drive proof points were done in the   comparing SSHD, SSD and different HDDs.

Data Protection (Archiving, Backup, BC, DR)

Staging cache buffer area for snapshots, replication or current copies before streaming to other storage tier using fast read/write capabilities. Meta data, index and catalogs benefit from fast reads and writes for faster protection.

Big Data DSS
Data Warehouse

Support sequential read-ahead operations and “hot-band” data caching in a cost-effective way using SSHD vs. slower similar capacity size HDDs for Data warehouse, DSS and other analytic environments.

Email, Text and Voice Messaging

Microsoft Exchange and other email journals, mailbox or object repositories can leverage faster read and write I/Os with more space capacity.

OLTP, Database
 Key Value Stores SQL and NoSQL

Eliminate the need to short stroke HDDs to gain performance, offer more space capacity and IOP performance per device for tables, logs, journals, import/export and scratch, temporary ephemeral storage. Leverage random and sequential read acceleration to compliment server-side SSD-based read and write-thru caching. Utilize fast magnetic media for persistent data reducing wear and tear on more costly flash SSD storage devices.

Server Virtualization

Fast disk storage for data stores and virtual disks supporting VMware vSphere/ESXi, Microsoft Hyper-V, KVM, Xen and others.  Holding virtual machines such as VMware VMDKs, along with Hyper-V and other hypervisor virtual disks.  Compliment virtual server read cache and I/O optimization using SSD as a cache with writes going to fast SSHD. For example VMware V5.5 Virtual SAN host disk groups use SSD as a read cache and can use SSHD as the magnetic disk for storing data while boosting performance without breaking the budget or adding complexity.

Speaking of Virtual, as mentioned the various proof points were run using Windows systems that were VMware guests with the SSHD and other devices being Raw Device Mapped (RDM) SAS and SATA attached, read how to do that here.

Hint: If you know about the VMware trick for making a HDD look like a SSD to vSphere/ESXi (refer to here and here) think outside the virtual box for a moment on some things you could do with SSHD in a VSAN environment among other things, for now, just sayin ;).

Virtual Desktop Infrastructure (VDI)

SSHD can be used as high performance magnetic disk for storing linked clone images, applications and data. Leverage fast read to support read ahead or pre-fetch to compliment SSD based read cache solutions. Utilize fast writes to quickly store data enabling SSD-based read or write-thru cache solutions to be more effective. Reduce impact of boot, shutdown, and virus scan or maintenance storms while providing more space capacity.

Table 1 Example application and workload scenarios benefiting from SSHDs

Test drive application proof points

Various workloads were run using Seagate Enterprise Turbo SSHD in the StorageIO lab environment across different real world like application workload scenarios. These include general storage I/O performance characteristics profiling (e.g. reads, writes, random, sequential or various IOP size) to understand how these devices compare to other HDD, HHDD and SSD storage devices in terms of IOPS, bandwidth and response time (latency). In addition to basic storage I/O profiling, the Enterprise Turbo SSHD was also used with various SQL database workloads including Transaction Processing Council (TPC); along with VMware server virtualization among others use case scenarios.

Note that in the following workload proof points a single drive was used meaning that using more drives in a server or storage system should yield better performance. This also means scaling would be bound by the constraints of a given configuration, server or storage system. These were also conducted using 6Gbps SAS with PCIe Gen 2 based servers and ongoing testing is confirming even better results with 12Gbs SAS, faster servers with PCIe Gen 3.

SSHD large file storage i/o
Copy (read and write) 80GB and 220GB file copies (time to copy entire file)

SSHD storage I/O TPCB Database performance
SQLserver TPC-B batch database updates

Test configuration: 600GB 2.5” Enterprise Turbo SSHD (ST600MX) 6 Gbps SAS, 600GB 2.5” Enterprise Enhanced 15K V4 (15K RPM) HDD (ST600MP) with 6 Gbps SAS, 500GB 3.5” 7.2K RPM HDD 3 Gbps SATA, 1TB 3.5” 7.2K RPM HDD 3 Gbps SATA. Workload generator and virtual clients ran on Windows 7 Ultimate. Microsoft SQL Server 2012 Database was on Windows 7 Ultimate SP1 (64 bit) 14 GB DRAM, Dual CPU (Intel x3490 2.93 GHz)), with LSI 9211 6Gbps SAS adapters with TPC-B (www.tpc.org) workloads. VM resided on separate data store from devices being tested. All devices being tested with SQL MDF were Raw Device Mapped (RDM) independent persistent with database log file (LDF) on a separate SSD device also persistent (no delayed writes). Tests were performed in StorageIO Lab facilities by StorageIO personal.

SSHD storage I/O TPCE Database performance
SQLserver TPC-E transactional workload

Test configuration: 600GB 2.5” Enterprise Turbo SSHD (ST600MX) 6 Gbps SAS, 600GB 2.5” Enterprise Enhanced 15K V4 (15K RPM) HDD (ST600MP) with 6 Gbps SAS, 300GB 2.5” Savio 10K RPM HDD 6 Gbps SAS, 1TB 3.5” 7.2K RPM HDD 6 Gbps SATA. Workload generator and virtual clients Windows 7 Ultimate. Microsoft SQL Server 2012 database was on Windows 7 Ultimate SP1 (64 bit) 14 GB DRAM, Dual CPU (E8400 2.99GHz), with LSI 9211 6Gbps SAS adapters with TPC-E (www.tpc.org) workloads. VM resided on separate SSD based data store from devices being tested (e.g., where MDF resided). All devices being tested were Raw Device Mapped (RDM) independent persistent with database log file on a separate SSD device also persistent (no delayed writes). Tests were performed in StorageIO Lab facilities by StorageIO personal.

SSHD storage I/O Exchange performance
Microsoft Exchange workload

Test configuration: 2.5” Seagate 600 Pro 120GB (ST120FP0021 ) SSD 6 Gbps SATA, 600GB 2.5” Enterprise Turbo SSHD (ST600MX) 6 Gbps SAS, 600GB 2.5” Enterprise Enhanced 15K V4 (15K RPM) HDD (ST600MP) with 6 Gbps SAS, 2.5” Savio 146GB HDD 6 Gbps SAS, 3.5” Barracuda 500GB 7.2K RPM HDD 3 Gbps SATA. Email server hosted as guest on VMware vSphere/ESXi V5.5, Microsoft Small Business Server (SBS) 2011 Service Pack 1 64 bit, 8GB DRAM, One CPU (Intel X3490 2.93 GHz) LSI 9211 6 Gbps SAS adapter, JetStress 2010 (no other active workload during test intervals). All devices being tested were Raw Device Mapped (RDM) where EDB resided. VM on a SSD based separate data store than devices being tested. Log file IOPs were handled via a separate SSD device.

Read more about the above proof points along view data points and configuration information in the associated white paper found here (no registration required).

What this all means

Similar to flash-based SSD technologies the question is not if, rather when, where, why and how to deploy hybrid solutions such as SSHDs. If your applications and data infrastructures environment have the need for storage I/O speed without loss of space capacity and breaking your budget, SSD enabled devices like the Seagate Enterprise Turbo 600GB SSHD are in your future. You can learn more about enterprise class SSHD such as those from Seagate by visiting this link here.

Watch for extra workload proof points being performed including with 12Gbps SAS and faster servers using PCIe Gen 3.

Ok, nuff said.

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

How much storage performance do you want vs. need?

Storage I/O trends

How much storage I/O performance do you want vs. need?

The answer to how much storage I/O performance you need vs. want probably depends on cost, for which applications along with benefit among other things.

Storage I/O performance
View Part II: How many IOPS can a HDD, HHDD or SSD do with VMware?

I did a piece over at 21cit titled Parsing the Need for Speed in Storage that looks at those and other related themes including metrics that matter across tiered storage.

Here is an excerpt:

Can storage speed be too fast? Or, put another away, how do you decide a return on investments or innovation from the financial resources you spend on storage and the various technologies that go into storage performance.

Think about it: Fast storage needs fast servers, IO and networking interfaces, software, firmware, hypervisors, operating systems, drivers, and a file system or database, along with applications. Then there are the other buzzword bingo technologies that are also factors, among them fast storage DRAM and flash Solid State Devices (SSD).

Some questions to ask about storage I/O performance include among others:

  • How do response time, latency, and think or wait-times effect your environment and applications?
  • Do you know the location of your storage or data center performance bottlenecks?
  • If you remove bottlenecks in storage systems or appliances as well as in the data path, how will your application or the CPU in the server it runs on behave?
  • If your application server is currently showing high CPU due to the system overhead of having to wait for storage I/Os, you may see a positive improvement.
  • If more real work can be done now, will all of the components be ready to support each other without creating a new bottleneck?
  • Also speaking of storage I/O performance, how about can we get a side of context with them IOPs and other metrics that matter!

So how about it, how much performance, for primary, secondary, backup, cloud or virtual storage do you want vs. need?

Ok, nuff said for now.

Cheers
Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Can we get a side of context with them IOPS server storage metrics?

Can we get a side of context with them server storage metrics?

Storage I/O trends

Updated 2/10/2018

Whats the best server storage I/O network metric or benchmark? It depends as there needs to be some context with them IOPS and other server storage I/O metrics that matter.

There is an old saying that the best I/O (Input/Output) is the one that you do not have to do.

In the meantime, let’s get a side of some context with them IOPS from vendors, marketers and their pundits who are tossing them around for server, storage and IO metrics that matter.

Expanding the conversation, the need for more context

The good news is that people are beginning to discuss storage beyond space capacity and cost per GByte, TByte or PByte for both DRAM or nand flash Solid State Devices (SSD), Hard Disk Drives (HDD) along with Hybrid HDD (HHDD) and Solid State Hybrid Drive (SSHD) based solutions. This applies to traditional enterprise or SMB IT data center with physical, virtual or cloud based infrastructures.

hdd and ssd iops

This is good because it expands the conversation beyond just cost for space capacity into other aspects including performance (IOPS, latency, bandwidth) for various workload scenarios along with availability, energy effective and management.

Adding a side of context

The catch is that IOPS while part of the equation are just one aspect of performance and by themselves without context, may have little meaning if not misleading in some situations.

Granted it can be entertaining, fun to talk about or simply make good press copy for a million IOPS. IOPS vary in size depending on the type of work being done, not to mention reads or writes, random and sequential which also have a bearing on data throughout or bandwidth (Mbytes per second) along with response time.

However, are those million IOP’s applicable to your environment or needs?

Likewise, what do those million or more IOPS represent about type of work being done? For example, are they small 64 byte or large 64 Kbyte sized, random or sequential, cached reads or lazy writes (deferred or buffered) on a SSD or HDD?

How about the response time or latency for achieving them IOPS?

In other words, what is the context of those metrics and why do they matter?

storage i/o iops
Click on image to view more metrics that matter including IOP’s for HDD and SSD’s

Metrics that matter give context for example IO sizes closer to what your real needs are, reads and writes, mixed workloads, random or sequential, sustained or bursty, in other words, real world reflective.

As with any benchmark take them with a grain (or more) of salt, they key is use them as an indicator then align to your needs. The tool or technology should work for you, not the other way around.

Here are some examples of context that can be added to help make IOP’s and other metrics matter:

  • What is the IOP size, are they 512 byte (or smaller) vs. 4K bytes (or larger)?
  • Are they reads, writes, random, sequential or mixed and what percentage?
  • How was the storage configured including RAID, replication, erasure or dispersal codes?
  • Then there is the latency or response time and IO queue depths for the given number of IOPS.
  • Let us not forget if the storage systems (and servers) were busy with other work or not.
  • If there is a cost per IOP, is that list price or discount (hint, if discount start negotiations from there)
  • What was the number of threads or workers, along with how many servers?
  • What tool was used, its configuration, as well as raw or cooked (aka file system) IO?
  • Was the IOP’s number with one worker or multiple workers on a single or multiple servers?
  • Did the IOP’s number come from a single storage system or total of multiple systems?
  • Fast storage needs fast serves and networks, what was their configuration?
  • Was the performance a short burst, or long sustained period?
  • What was the size of the test data used; did it all fit into cache?
  • Were short stroking for IOPS or long stroking for bandwidth techniques used?
  • Data footprint reduction (DFR) techniques (thin provisioned, compression or dedupe) used?
  • Were write data committed synchronously to storage, or deferred (aka lazy writes used)?

The above are just a sampling and not all may be relevant to your particular needs, however they help to put IOP’s into more contexts. Another consideration around IOPS are the configuration of the environment, from an actual running application using some measurement tool, or are they generated from a workload tool such as IOmeter, IOrate, VDbench among others.

Sure, there are more contexts and information that would be interesting as well, however learning to walk before running will help prevent falling down.

Storage I/O trends

Does size or age of vendors make a difference when it comes to context?

Some vendors are doing a good job of going for out of this world record-setting marketing hero numbers.

Meanwhile other vendors are doing a good job of adding context to their IOP or response time or bandwidth among other metrics that matter. There is a mix of startup and established that give context with their IOP’s or other metrics, likewise size or age does not seem to matter for those who lack context.

Some vendors may not offer metrics or information publicly, so fine, go under NDA to learn more and see if the results are applicable to your environments.

Likewise, if they do not want to provide the context, then ask some tough yet fair questions to decide if their solution is applicable for your needs.

Storage I/O trends

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

What this means is let us start putting and asking for metrics that matter such as IOP’s with context.

If you have a great IOP metric, if you want it to matter than include some context such as what size (e.g. 4K, 8K, 16K, 32K, etc.), percentage of reads vs. writes, latency or response time, random or sequential.

IMHO the most interesting or applicable metrics that matter are those relevant to your environment and application. For example if your main application that needs SSD does about 75% reads (random) and 25% writes (sequential) with an average size of 32K, while fun to hear about, how relevant is a million 64 byte read IOPS? Likewise when looking at IOPS, pay attention to the latency, particular if SSD or performance is your main concern.

Get in the habit of asking or telling vendors or their surrogates to provide some context with them metrics if you want them to matter.

So how about some context around them IOP’s (or latency and bandwidth or availability for that matter)?

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

How many I/O iops can flash SSD or HDD do?

How many i/o iops can flash ssd or hdd do with vmware?

sddc data infrastructure Storage I/O ssd trends

Updated 2/10/2018

A common question I run across is how many I/O iopsS can flash SSD or HDD storage device or system do or give.

The answer is or should be it depends.

This is the first of a two-part series looking at storage performance, and in context specifically around drive or device (e.g. mediums) characteristics across HDD, HHDD and SSD that can be found in cloud, virtual, and legacy environments. In this first part the focus is around putting some context around drive or device performance with the second part looking at some workload characteristics (e.g. benchmarks).

What about cloud, tape summit resources, storage systems or appliance?

Lets leave those for a different discussion at another time.

Getting started

Part of my interest in tools, metrics that matter, measurements, analyst, forecasting ties back to having been a server, storage and IO performance and capacity planning analyst when I worked in IT. Another aspect ties back to also having been a sys admin as well as business applications developer when on the IT customer side of things. This was followed by switching over to the vendor world involved with among other things competitive positioning, customer design configuration, validation, simulation and benchmarking HDD and SSD based solutions (e.g. life before becoming an analyst and advisory consultant).

Btw, if you happen to be interested in learn more about server, storage and IO performance and capacity planning, check out my first book Resilient Storage Networks (Elsevier) that has a bit of information on it. There is also coverage of metrics and planning in my two other books The Green and Virtual Data Center (CRC Press) and Cloud and Virtual Data Storage Networking (CRC Press). I have some copies of Resilient Storage Networks available at a special reader or viewer rate (essentially shipping and handling). If interested drop me a note and can fill you in on the details.

There are many rules of thumb (RUT) when it comes to metrics that matter such as IOPS, some that are older while others may be guess or measured in different ways. However the answer is that it depends on many things ranging from if a standalone hard disk drive (HDD), Hybrid HDD (HHDD), Solid State Device (SSD) or if attached to a storage system, appliance, or RAID adapter card among others.

Taking a step back, the big picture

hdd image
Various HDD, HHDD and SSD’s

Server, storage and I/O performance and benchmark fundamentals

Even if just looking at a HDD, there are many variables ranging from the rotational speed or Revolutions Per Minute (RPM), interface including 1.5Gb, 3.0Gb, 6Gb or 12Gb SAS or SATA or 4Gb Fibre Channel. If simply using a RUT or number based on RPM can cause issues particular with 2.5 vs. 3.5 or enterprise and desktop. For example, some current generation 10K 2.5 HDD can deliver the same or better performance than an older generation 3.5 15K. Other drive factors (see this link for HDD fundamentals) including physical size such as 3.5 inch or 2.5 inch small form factor (SFF), enterprise or desktop or consumer, amount of drive level cache (DRAM). Space capacity of a drive can also have an impact such as if all or just a portion of a large or small capacity devices is used. Not to mention what the drive is attached to ranging from in internal SAS or SATA drive bay, USB port, or a HBA or RAID adapter card or in a storage system.

disk iops
HDD fundamentals

How about benchmark and performance for marketing or comparison tricks including delayed, deferred or asynchronous writes vs. synchronous or actually committed data to devices? Lets not forget about short stroking (only using a portion of a drive for better IOP’s) or even long stroking (to get better bandwidth leveraging spiral transfers) among others.

Almost forgot, there are also thick, standard, thin and ultra thin drives in 2.5 and 3.5 inch form factors. What’s the difference? The number of platters and read write heads. Look at the following image showing various thickness 2.5 inch drives that have various numbers of platters to increase space capacity in a given density. Want to take a wild guess as to which one has the most space capacity in a given footprint? Also want to guess which type I use for removable disk based archives along with for onsite disk based backup targets (compliments my offsite cloud backups)?

types of disks
Thick, thin and ultra thin devices

Beyond physical and configuration items, then there are logical configuration including the type of workload, large or small IOPS, random, sequential, reads, writes or mixed (various random, sequential, read, write, large and small IO). Other considerations include file system or raw device, number of workers or concurrent IO threads, size of the target storage space area to decide impact of any locality of reference or buffering. Some other items include how long the test or workload simulation ran for, was the device new or worn in before use among other items.

Tools and the performance toolbox

Then there are the various tools for generating IO’s or workloads along with recording metrics such as reads, writes, response time and other information. Some examples (mix of free or for fee) include Bonnie, Iometer, Iorate, IOzone, Vdbench, TPC, SPC, Microsoft ESRP, SPEC and netmist, Swifttest, Vmark, DVDstore and PCmark 7 among many others. Some are focused just on the storage system and IO path while others are application specific thus exercising servers, storage and IO paths.

performance tools
Server, storage and IO performance toolbox

Having used Iometer since the late 90s, it has its place and is popular given its ease of use. Iometer is also long in the tooth and has its limits including not much if any new development, never the less, I have it in the toolbox. I also have Futremark PCmark 7 (full version) which turns out has some interesting abilities to do more than exercise an entire Windows PC. For example PCmark can use a secondary drive for doing IO to.

PCmark can be handy for spinning up with VMware (or other tools) lots of virtual Windows systems pointing to a NAS or other shared storage device doing real world type activity. Something that could be handy for testing or stressing virtual desktop infrastructures (VDI) along with other storage systems, servers and solutions. I also have Vdbench among others tools in the toolbox including Iorate which was used to drive the workloads shown below.

What I look for in a tool are how extensible are the scripting capabilities to define various workloads along with capabilities of the test engine. A nice GUI is handy which makes Iometer popular and yes there are script capabilities with Iometer. That is also where Iometer is long in the tooth compared to some of the newer generation of tools that have more emphasis on extensibility vs. ease of use interfaces. This also assumes knowing what workloads to generate vs. simply kicking off some IOPs using default settings to see what happens.

Another handy tool is for recording what’s going on with a running system including IO’s, reads, writes, bandwidth or transfers, random and sequential among other things. This is where when needed I turn to something like HiMon from HyperIO, if you have not tried it, get in touch with Tom West over at HyperIO and tell him StorageIO sent you to get a demo or trial. HiMon is what I used for doing start, stop and boot among other testing being able to see IO’s at the Windows file system level (or below) including very early in the boot or shutdown phase.

Here is a link to some other things I did awhile back with HiMon to profile some Windows and VDI activity test profiling.

What’s the best tool or benchmark or workload generator?

The one that meets your needs, usually your applications or something as close as possible to it.

disk iops
Various 2.5 and 3.5 inch HDD, HHDD, SSD with different performance

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

That depends, however continue reading part II of this series to see some results for various types of drives and workloads.

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

XtremIO, XtremSW and XtremSF EMC flash ssd portfolio redefined

EMC (@EMCflash) today announced some new, enhanced, renamed and a rebrand flash solid-state device (SSD) storage portfolio around theme of XtremIO. XtremIO was the startup company with a new all flash SSD storage array that EMC announced they were buying in May 2012. Since that announcement, Project “X” has been used when referring to the product now known as XtremIO (e.g. all flash new storage array).

Synopsis of announcement

  • Product rollout and selective availability of the new all flash SSD array XtremIO
  • Rename server-side PCIe ssd flash cards from VFCache to XtremSF
  • New XtremSF models including enhanced multi-level cell (eMLC) with larger capacities
  • Rename VFCache caching software to XtremSW (enables cache mode vs. target mode)

What was previously announced:

  • Buying the company XtremeIO
  • Productizing  the new all flash array as part of Project “X”
  • It would formally announce the new product in 2013 (which is now)
  • VFCache and later enhancements during 2012.

Storage I/O industry trends and perspectives

Overall, I give an Atta boy and Atta girl to the EMC crew for a Product Defined Announcement (PDA) extending their flash portfolio to complement their different customers and prospects various environment needs. Now let us sit back and watch EMC, NetApp and others step up their flash dance moves to see who will out flash the others in the eXtreme flash games, including software defined storage, software defined data centers, software defined flash, and software defined cache.

Related items about nand flash and metrics related themes:

Read more about XtremIO, XtremSF, XtremSW and flash related items here in part II of this post.

Ok, nuff said (for now).

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved

Why FC and FCoE vendors get beat up over bandwidth?

Storage I/O Industry Trends and Perspectives

Have you noticed how Fibre Channel (FC) and FC over Ethernet (FCoE) switch and adapter vendors and their followers focus around bandwidth vs. response time, latency or other performance activity? For example, 8Gb FC (e.g. 8GFC), or 10Gb as opposed to latency and response time, or IOPS and other activity indicators.

When you look at your own environment, or that of a customers or prospects or hear of a conversation involving storage networks, is the focus on bandwidth, or lack of it, or perhaps throughput being a non-issue? For example, a customer says why go to 16GFC when they are barely using 8Gb with their current FC environment.

This is not a new phenomenon and is something I saw when working for a storage-networking vendor who had SAN, MAN and WAN solutions (E.g. INRANGE). Those with networking backgrounds tended to focus on bandwidth when discussing storage networks while those with storage, server or applications background also look at latency or IO completion time (response time), queuing, message size, IOPs or frames and packets per second. Thus there are different storage and networking metrics that matter that are also discussed further in my first book Resilient Storage Networks: Designing Flexible Scalable Data Infrastructures.

When I hear a storage networking vendor talk about their latest 16GFC based product I like to ask them what is the biggest benefit vs. 8GFC and not surprisingly, the usual response is like twice the bandwidth. When I ask them about what that means in terms of more IOPS in a given amount of time, or reduced IO completion time, lower latency, sometimes I often get the response along the lines of Yeah, that too, however it has twice the bandwidth.

Ok, I get it, yes, bandwidth is important for some applications, however so too are activity measured in IOPS, transactions, packets, frames, pages, sequences and exchanges among other units of measure along with response time and latency (e.g. different storage and networking metrics that matter).

What many storage networking vendors actually get, however they don’t talk about it for various reasons, perhaps because they are not be asked about it, or engaged in the conversation is that there is an improvement in response time in going from such as 8GFC to 16GFC. Likewise, there can be improvements in response time in addition to the more commonly discussed bandwidth.

If you are a storage networking switch, adapter or other component vendor, var or channel partner expand your conversation to include activity and response time as part of your value proposition. Likewise, if you are a customer, ask your technology providers to expand on the conversation of how new technologies help in areas other than bandwidth.

Ok, nuff said for now

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

Is SSD dead? No, however some vendors might be

Storage I/O trends

Is SSD dead? No, however some vendors might be

In a recent conversation with Dave Raffo about the nand flash solid state disk (SSD) market, we talked about industry trends, perspectives and where the market is now as well as headed. One of my comments is, has been and will remain that the industry has still not reached anywhere near full potential for deployment of SSD for enterprise, SMB and other data storage needs. Granted, there is broad adoption in terms of discussion or conversation and plenty of early adopters.

SSD and in particular nand flash is anything but dead, in fact in the big broad picture of things, it is still very early in the game. Sure, for those who cover and crave the newest, latest and greatest technology to talk about, nand flash SSD might seem old, yesterday news, long in the tooth and time for something else. However, for those who are focused on deployment vs. adoption such as customers, in general, nand flash SSD in its many packaging options has still not yet reached its full potential.

Despite the hype, fanfare from CEOs or their evangelist along with loyal followers of startups that help drive industry adoption (e.g. what is talked about), there is still lots of upside growth in the customer drive industry deployment (actually buying, installing and using) for nand flash SSD.

What about broad customer deployments?

Sure, there are the marquee customer success stories that you need a high-capacity SAS or SATA drive to hold the YouTube videos, slide decks, press releases for.

However, have we truly, reached broad customer deployment or broad industry adoption?

Hence, I see more startups coming into the market space, and some exiting on their own, via mergers and acquisition or other means.

Will we see a feeding frenzy or IPO craze as with earlier hype cycles of technologies, IMHO there will be some companies that get the big deal, some will survive as new players running as a business vs. running to be acquired or IPO. Others will survive by evolving into something else while others will join the where are they now list.

If you are a SSD startup, CEO, CxO, or marketer, their PR, evangelist or loyal follower do not worry as the SSD market and even nand flash is far from being dead. On the other hand, if you think that it has hit its full stride, you are missing either the bigger picture, or too busy patting yourselves on the back for a job well done. There is much more opportunity out there and not even all the low hanging fruit has been picked yet.

Check out the conversation with Dave Raffo along with comments from others here.

Related links on storage IO metrics and SSD performance
What is the best kind of IO? The one you do not have to do
Is SSD dead? No, however some vendors might be
Storage and IO metrics that matter
IO IO it is off to Storage and IO metrics we go
SSD and Storage System Performance
Speaking of speeding up business with SSD storage
Are Hard Disk Drives (HDD’s) getting too big?
Has SSD put Hard Disk Drives (HDD’s) On Endangered Species List?
Why SSD based arrays and storage appliances can be a good idea (Part I)
IT and storage economics 101, supply and demand
Researchers and marketers dont agree on future of nand flash SSD
EMC VFCache respinning SSD and intelligent caching (Part I)
SSD options for Virtual (and Physical) Environments Part I: Spinning up to speed on SSD
SSD options for Virtual (and Physical) Environments Part II: The call to duty, SSD endurance
SSD options for Virtual (and Physical) Environments Part III: What type of SSD is best for you?
SSD options for Virtual (and Physical) Environments Part IV: What type of SSD is best for your needs

Ok, nuff said for now

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

More storage and IO metrics that matter

It is great to see more conversations and coverage around storage metrics that matter beyond simply focusing on cost per GByte or TByte (e.g. space capacity). Likewise, it is also good to see conversations expanding beyond data footprint reduction (DFR) from a space capacity savings or reduction ratio to also address data movement and transfer rates. Also good to see is increase in discussion around input/output operations per section (IOPs) tying into conversations from virtualization, VDI, cloud to Sold State Devices (SSD).

Other storage and IO metrics that matter include latency or response time, which is how fast work is done, or time spent. Latency also ties to IOPS in that as more work arrives to be done (IOPS) of various size, random or sequential, reads or writes, queue depths are an indicator of how well work is flowing. Another storage and IO metric that matters is availability because without it, performance or capacity can be affected. Likewise, without performance, availability can be affected.

Needless to say that I am just scratching the surface here with storage and IO metrics that matter for physical, virtual and cloud environments from servers to networks to storage.

Here is a link to a post I did called IO, IO, it is off to storage and IO metrics we go that ties in themes of performance measurements and solid-state disk (SSD) among others. Also check out this piece about why VASA (VMware storage analysis metrics) is important to have your VMware CASA along with Windows boot storage and IO performance for VDI and traditional planning purposes.

Check out this post about metrics and measurements that matter along with this conversation about IOPs, capacity, bandwidth and purchasing discussion topics.

Related links on storage IO metrics and SSD performance
What is the best kind of IO? The one you do not have to do
Is SSD dead? No, however some vendors might be
Storage and IO metrics that matter
IO IO it is off to Storage and IO metrics we go
SSD and Storage System Performance
Speaking of speeding up business with SSD storage
Are Hard Disk Drives (HDD’s) getting too big?
Has SSD put Hard Disk Drives (HDD’s) On Endangered Species List?
Why SSD based arrays and storage appliances can be a good idea (Part I)
IT and storage economics 101, supply and demand
Researchers and marketers dont agree on future of nand flash SSD
EMC VFCache respinning SSD and intelligent caching (Part I)
SSD options for Virtual (and Physical) Environments Part I: Spinning up to speed on SSD
SSD options for Virtual (and Physical) Environments Part II: The call to duty, SSD endurance
SSD options for Virtual (and Physical) Environments Part III: What type of SSD is best for you?
SSD options for Virtual (and Physical) Environments Part IV: What type of SSD is best for your needs

Ok, nuff said for now

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2012 StorageIO and UnlimitedIO All Rights Reserved

What is the best kind of IO? The one you do not have to do

What is the best kind of IO? The one you do not have to do

data infrastructure server storage I/O trends

Updated 2/10/2018

What is the best kind of IO? If no IO (input/output) operation is the best IO, than the second best IO is the one that can be done as close to the application and processor with best locality of reference. Then the third best IO is the one that can be done in less time, or at least cost or impact to the requesting application which means moving further down the memory and storage stack (figure 1).

Storage and IO or I/O locality of reference and storage hirearchy
Figure 1 memory and storage hierarchy

The problem with IO is that they are basic operation to get data into and out of a computer or processor so they are required; however, they also have an impact on performance, response or wait time (latency). IO require CPU or processor time and memory to set up and then process the results as well as IO and networking resources to move data to their destination or retrieve from where stored. While IOs cannot be eliminated, their impact can be greatly improved or optimized by doing fewer of them via caching, grouped reads or writes (pre-fetch, write behind) among other techniques and technologies.

Think of it this way, instead of going on multiple errands, sometimes you can group multiple destinations together making for a shorter, more efficient trip; however, that optimization may also take longer. Hence sometimes it makes sense to go on a couple of quick, short low latency trips vs. one single larger one that takes half a day however accomplishes many things. Of course, how far you have to go on those trips (e.g. locality) makes a difference of how many you can do in a given amount of time.

What is locality of reference?

Locality of reference refers to how close (e.g location) data exists for where it is needed (being referenced) for use. For example, the best locality of reference in a computer would be registers in the processor core, then level 1 (L1), level 2 (L2) or level 3 (L3) onboard cache, followed by dynamic random access memory (DRAM). Then would come memory also known as storage on PCIe cards such as nand flash solid state device (SSD) or accessible via an adapter on a direct attached storage (DAS), SAN or NAS device. In the case of a PCIe nand flash SSD card, even though physically the nand flash SSD is closer to the processor, there is still the overhead of traversing the PCIe bus and associated drivers. To help offset that impact, PCIe cards use DRAM as cache or buffers for data along with Meta or control information to further optimize and improve locality of reference. In other words, help with cache hits, cache use and cache effectiveness vs. simply boosting cache utilization.

Where To Learn More

View additional NAS, NVMe, SSD, NVM, SCM, Data Infrastructure and HDD related topics via the following links.

Additional learning experiences along with common questions (and answers), as well as tips can be found in Software Defined Data Infrastructure Essentials book.

Software Defined Data Infrastructure Essentials Book SDDC

What This All Means

What can you do the cut the impact of IO

  • Establish baseline performance and availability metrics for comparison
  • Realize that IOs are a fact of IT virtual, physical and cloud life
  • Understand what is a bad IO along with its impact
  • Identify why an IO is bad, expensive or causing an impact
  • Find and fix the problem, either with software, application or database changes
  • Throw more software caching tools, hyper visors or hardware at the problem
  • Hardware includes faster processors with more DRAM and fast internal busses
  • Leveraging local PCIe flash SSD cards for caching or as targets
  • Utilize storage systems or appliances that have intelligent caching and storage optimization capabilities (performance, availability, capacity).
  • Compare changes and improvements to baseline, quantify improvement

Ok, nuff said, for now.

Gs

Greg Schulz – Microsoft MVP Cloud and Data Center Management, VMware vExpert 2010-2017 (vSAN and vCloud). Author of Software Defined Data Infrastructure Essentials (CRC Press), as well as Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press), Resilient Storage Networks (Elsevier) and twitter @storageio. Courteous comments are welcome for consideration. First published on https://storageioblog.com any reproduction in whole, in part, with changes to content, without source attribution under title or without permission is forbidden.

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO. All Rights Reserved. StorageIO is a registered Trade Mark (TM) of Server StorageIO.

Speaking of speeding up business with SSD storage

Solid state devices (SSD) are a popular topic gaining both industry adoption and customer deployment to speed up storage performance. Here is a link to a recent conversation that I had with John Hillard to discuss industry trends and perspectives pertaining to using SSD to boost performance and productivity for SMB and other environments.

I/O consolidation from Cloud and Virtual Data Storage Networking (CRC Press) www.storageio.com/book3.html

SSDs can be a great way for organizations to do IO consolidation to reduce costs in place of using many hard disk drives (HDDs) grouped together to achieve a certain level of performance. By consolidating the IOs off of many HDDs that often end up being under utilized from a space capacity basis, organizations can boost performance for applications while reducing, or reusing HDD based storage capacity for other purposes including growth.

Here is some related material and comments:
Has SSD put Hard Disk Drives (HDDs) On Endangered Species List?
SSD and Storage System Performance
Are Hard Disk Drives (HDDs) getting too big?
Solid state devices and the hosting industry
Achieving Energy Efficiency using FLASH SSD
Using SSD flash drives to boost performance

Four ways to use SSD storage
4 trends that shape how agencies handle storage
Giving storage its due

You can read a transcript of the conversation and listen to the pod cast here, or download the MP3 audio here.

Ok, nuff said about SSD (for now)

Cheers Gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press, 2011), The Green and Virtual Data Center (CRC Press, 2009), and Resilient Storage Networks (Elsevier, 2004)

twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2011 StorageIO and UnlimitedIO All Rights Reserved

How to win approval for upgrades: Link them to business benefits

Drew Rob has another good article over at Processor.com about various tips and strategies on how to gain approval for hardware (or software) purchases with some comments by yours truly.

My tips and advice that are quoted in the story include to link technology resources to business needs impact which may be common sense, however still a time tested effective technique.

Instead of speaking tech talk such as Performance, capacity, availability, IOPS, bandwidth, GHz, frames or packets per second, VMs to PM or dedupe ratio, map them to business speak, that is things that finance, accountants, MBAs or other management personal understand.

For example, how many transactions at a given response time can be supported by a given type of server, storage or networking device.

Or, put a different way, with a given device, how much work can be done and what is the associated monetary or business benefit.

Likewise, if you do not have a capacity plan for servers, storage, I/O and networking along with software and facilities covering performance, availability, capacity and energy demands now is the time to put one in place.

More on capacity and performance planning later, however for now, if you want to learn more, check Chapter 10 (Performance and Capacity Planning) in my book Resilient Storage Networks: Designing Flexible and Scalable Data Infrastructure: Elsevier).

Ok, nuff said.

Cheers gs

Greg Schulz – Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2024 Server StorageIO and UnlimitedIO LLC All Rights Reserved