Virtualized SQL Server Performance and Scaling on Dell EMC ... · Published in the USA. ... by sending an email to [email protected]. ... Server database installation and administration

A Dell EMC Technical White Paper

Virtualized SQL Server Performance and Scaling on Dell EMC XC Series Web-Scale Hyper-converged Appliances Powered by Nutanix Software Dell EMC Engineering January 2017

2 Virtualized SQL Server Performance and Scaling on Dell EMC XC Series Web-Scale Hyper-converged Appliances Powered by

Nutanix Software | 1078-BP

Revisions

Date Description

November 2016 Initial release

January 2017 Branding update

The information in this publication is provided “as is.” Dell Inc. makes no representations or warranties of any kind with respect to the information in this

publication, and specifically disclaims implied warranties of merchantability or fitness for a particular purpose.

Use, copying, and distribution of any software described in this publication requires an applicable software license.

Copyright © 2017 Dell Inc. or its subsidiaries. All Rights Reserved. Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other

trademarks may be the property of their respective owners. Published in the USA. [2/6/2017] [A Dell Technical White Paper] [1078-BP]

Dell EMC believes the information in this document is accurate as of its publication date. The information is subject to change without notice.



Table of contents Revisions............................................................................................................................................................................. 2

Acknowledgements ............................................................................................................................................................. 5

Feedback ............................................................................................................................................................................ 5

Executive summary ............................................................................................................................................................. 5

1 Introduction ................................................................................................................................................................... 6

1.1 Objectives ........................................................................................................................................................... 6

1.1.1 Audience ............................................................................................................................................................. 6

1.2 Terminology ........................................................................................................................................................ 7

2 Product Overview ......................................................................................................................................................... 8

2.1 Dell EMC XC Series Overview ........................................................................................................................... 8

2.2 Benchmark Factory Overview ............................................................................................................................ 9

3 Solution infrastructure ................................................................................................................................................ 10

3.1 Physical system test configuration ................................................................................................................... 10

3.2 Dell EMC XC storage and cluster configuration ............................................................................................... 11

3.3 VM layout .......................................................................................................................................................... 12

3.4 Database layout ................................................................................................................................................ 13

3.5 Network configuration ....................................................................................................................................... 13

4 Test methodology ....................................................................................................................................................... 14

4.1 Test criteria ....................................................................................................................................................... 14

4.2 Measurement and monitoring ........................................................................................................................... 14

4.3 Test approach ................................................................................................................................................... 15

4.3.1 Baseline configuration ...................................................................................................................................... 15

4.3.2 Four-node configuration ................................................................................................................................... 15

4.3.3 Five-node configuration .................................................................................................................................... 16

4.3.4 Six-node configuration ...................................................................................................................................... 16

5 Test results ................................................................................................................................................................. 18

5.1 Baseline performance ....................................................................................................................................... 18

5.2 Performance scalability .................................................................................................................................... 19

5.2.1 Four-node test .................................................................................................................................................. 19

5.2.2 Five-node test ................................................................................................................................................... 20

5.2.3 Six-node test ..................................................................................................................................................... 21

5.3 Summary .......................................................................................................................................................... 22



6 Conclusion .................................................................................................................................................................. 25

A Configuration details ................................................................................................................................................... 26

B Additional resources ................................................................................................................................................... 28



Acknowledgements

This white paper was produced by the following members of the Dell Storage team:

Engineering: Chuck Armstrong and Doug Bernhardt

Feedback

We encourage readers of this publication to provide feedback on the quality and usefulness of this information

by sending an email to [email protected].

Executive summary

Online transaction processing (OLTP) applications range from web-based e-commerce sites, to accounting

systems, to customer support programs and are at the heart of every business function. As the foundation for

a wide range of mission-critical applications, OLTP operations (particularly those utilizing Microsoft® SQL

Server® database platforms) depend on exceptional performance and reliability.

SQL Server is the most widely deployed database in the world. Moreover, data generated by SQL Server

applications can grow exponentially over time. Therefore, designing and managing a storage and compute

environment that can effectively accommodate performance, capacity and future growth requirements is a key

challenge for customers today. The architecture of the Dell EMC™ XC Series appliances provides an

outstanding way for customers to meet performance and growth requirements.

This white paper demonstrates the linear scalability of converged Dell EMC XC powered by Nutanix for critical

SQL Server workloads. Adding nodes to an existing Dell EMC XC Nutanix cluster without system downtime,

enables growth to existing compute and storage resources in a linear fashion. This allows you to provide the

right size for existing applications and rely on proven linear scale for future needs.

mailto:[email protected]



1 Introduction Different types of database applications have varying performance and capacity needs. Understanding the

models for common database application workloads can be useful in predicting the possible application

behavior in a given infrastructure environment. The most common database-application workload models are

OLTP and Data Warehousing (DW). This paper focuses on OLTP database workloads.

Storage and compute infrastructure supporting OLTP platforms like SQL Server needs to not only non-

disruptively scale in both performance and capacity, but also deliver the required high performance in an

optimal, cost-effective way. The Dell EMC XC Series platform makes it possible to run SQL alongside other

virtual machine (VM) workloads without compromising performance.

OLTP database applications are optimal for managing rapidly changing data. These applications typically

have many users who are performing transactions simultaneously. Although individual data requests by users

usually reference few records, many of these requests are being made at the same time.

This whitepaper describes various executed tests that were based on the above factors and key guidelines

and best practices based on the test results. These best practices facilitate achieving optimal performance of

Microsoft SQL Server OLTP database applications using Dell EMC XC Series clusters.

1.1 Objectives The testing presented in this paper:

Establishes baseline I/O performance characteristics of a SQL Server OLTP database by simulating a

TPC-E like workload on a three-Node Dell EMC XC cluster

Characterizes performance using Benchmark Factory™ for Databases, simulating Microsoft SQL

Server OLTP transactions on the three-Node Dell EMC XC cluster by simulating TPC-E like workload

Validates that the SQL Server database deployment can scale linearly by adding additional nodes to

the XC cluster

1.1.1 Audience This paper is intended for system administrators, database administrators and storage architects interested in

deploying MS SQL Server OLTP database solutions using Dell EMC XC series appliance. It is assumed that

the readers of this document have familiarity with Dell EMC XC Nutanix administration and Microsoft SQL

Server database installation and administration tasks.



1.2 Terminology The following terms are used throughout this document.

Benchmark Factory: A Dell database performance tool that can simulate actual database transactions such

as TPC-C and TPC-E using the TPC specifications. More details on this tool and the download location can

be found at http://software.dell.com/products/benchmark-factory.

TPC Benchmark™ E (TPC-E): A benchmark developed by TPC to simulate OLTP database workloads. The

TPC-E benchmark simulates the OLTP workload of a brokerage firm. Although the underlying business model

of TPC-E is a brokerage firm, the database schema, data population, transaction mix and implementation

rules broadly represent a modern OLTP database system. More information on TPC-E can be found at

http://www.tpc.org/tpce/default.asp.

Dell EMC XC Series: The Dell XC Web-scale Converged Appliance integrates the proven Dell x86 server

platform and Nutanix web-scale software to provide an enterprise-class converged appliance for virtualized

environments. Backed by the Dell Global Service and Support organization, the XC appliance consolidates

compute and storage into a single platform. This platform enables application and virtualization teams to

quickly deploy new workloads to their private cloud. Appliance details and configuration information are at

http://www.dell.com/us/business/p/dell-xc-series/pd.

Virtual Machine (VM): A software computer that runs an operating system and applications. For the

purposes of this paper, it is run within the two supported hypervisors, either VMware ESX or Microsoft Hyper-

V.

http://software.dell.com/products/benchmark-factory

http://www.tpc.org/tpce/default.asp

http://www.dell.com/us/business/p/dell-xc-series/pd



2 Product Overview

2.1 Dell EMC XC Series Overview The Dell EMC XC Web-Scale Hyper-converged infrastructure is a hyper-converged solution that combines

storage, compute, networking, and virtualization into an industry-proven x86 Dell PowerEdge Server running

Nutanix web-scale software. By combing the hardware resources from each server node into a shared-

everything model for simplified operations, improved agility and greater flexibility, Dell EMC and Nutanix can

deliver simple, cost-effective solutions for virtualized enterprise workloads.

The Dell EMC Web-Scale Hyper-converged infrastructure is a scale-out cluster of high-performance nodes, or

servers, each running a standard hypervisor and containing processors, memory, and local storage

(consisting of SSD Flash and high-capacity SATA disk drives). Each node runs virtual machines just like a

standard hypervisor host.

Nutanix node architecture

In addition, the Nutanix Distributed Storage Fabric (NDSF) virtualizes local storage from all nodes into a

unified pool. In effect, NDSF acts like an advanced NAS that uses local SSDs and disks from all nodes to

store virtual machine data. Virtual machines running on the cluster write data to NDSF as if they were writing

to shared storage.



Nutanix platform architecture

NDSF is VM-centric and provides advanced data management features. It brings data closer to virtual

machines by storing the data locally on the system, resulting in higher performance at a lower cost. The

Nutanix Virtual Computing Platform has a horizontal minimum scale of three nodes and has no maximum

technical limit, enabling organizations to scale their infrastructure as needs grow.

NDSF delivers a unified pool of storage from all nodes across the cluster that leverages techniques including

striping, replication, auto-tiering, error detection, failover, and automatic recovery. This pool appears as

shared storage resources to VMs, enabling seamless support of features like vMotion, high availability (HA),

and distributed resource scheduler (DRS), along with industry-leading data management features. This high-

performance, scale-out architecture allows plug-and-play nodes on demand for building a cluster that easily

grows along with the enterprise.

2.2 Benchmark Factory Overview Benchmark Factory for Databases is a Dell database performance-testing tool that enables database

workload replay, industry-standard benchmark testing, and scalability testing. Using the incorporated load

testing tools, you can make changes to the database environment, while mitigating the risks of unavoidable

database changes such as patches and upgrades, operating system migrations, and adjustments to virtual

machine configurations. In addition, its proprietary workload capture and replay supports Oracle and SQL

Server databases. This workload replay and scheduling software helps you eliminate slow SQL database

performance and dramatically simplifies high performance database management. More information on

Benchmark Factory can be found at http://software.dell.com/products/benchmark-factory.

http://software.dell.com/products/benchmark-factory



3 Solution infrastructure The test configuration and other solution components used as part of this solution are described in this

section.

3.1 Physical system test configuration The physical test configuration diagram for this environment starts with the basic three-node Dell EMC

XC Series cluster as shown in Figure 3.

Three-node Dell EMC XC Series cluster representation

Each subsequent run of testing included an additional Dell EMC XC Series cluster node and an additional

Microsoft SQL workload VM. The final run of testing included six Dell EMC XC Series cluster nodes and six

Microsoft SQL workload VMs, as shown in Figure 4.

Six-node Dell EMC XC Series cluster representation



3.2 Dell EMC XC storage and cluster configuration Each Dell EMC XC 630 Series node used for this testing is comprised of the following hardware components:

Two, 400GB SATA SSDs

Eight, 1TB 7.2K RPM SATA Disks

Two, 16-Core Intel E5-2698 v3 2.30 GHz CPUs

16, 32GB DDR-4 QR 2133MHz RAM Modules (512GB Total)

NDSF simplifies the storage layout of Dell EMC XC architecture. The following diagram illustrates the

simplified standard storage layout in a Dell EMC XC environment.

The local storage controller on each host ensures that storage performance as well as storage capacity

increases when additional nodes are added to the Dell EMC XC. Each Controller VM is directly connected to

the local storage controller and its associated disks. By using local storage controllers on each ESXi host,

access to data through NDSF is localized. It does not require data to be transferred over the network, thereby

improving latency. NDSF ensures that writes are replicated, distributing data within the platform for resiliency.

The minimum number of Dell EMC XC Series nodes in a cluster is three. When clustered together, create a

single storage pool and a single storage container within it. The storage container is presented to all nodes

within the cluster and is spread across all of the node disks.

The cluster, populated with all six nodes used for testing scalability, is shown from a hardware resource

perspective in Figure 5. The cluster provides resources required by VM workloads and arranges those

workloads in the most effective manner: placing VM workloads on nodes with available CPU and RAM

resources, as well as the best fit for local disk resources.



Figure 5 Six-node XC 630 Series cluster resources

The XC 630 Series Nutanix-powered cluster used for this testing was designed and configured using best

practices from Nutanix available at http://go.nutanix.com/microsoft-sql-server-converged-infrastructure.html

Every attempt is made by the cluster to keep virtual machines and their associated storage on the same

cluster node for performance consistency. However, each cluster node is connected to, and communicates

with, the other nodes on a 10Gb network. This communication allows virtual machines and their associated

storage to reside on different cluster nodes. In such a case, the cluster will begin to move the data on that

virtual machine to the local cluster node using the same 10Gb network.

3.3 VM layout The baseline for this scaling study was executed using three XC 630 series cluster nodes (Minimum number

of nodes in XC cluster). The workload applied to the cluster was in the form of three virtual machines running

Microsoft Windows Server 2012 and Microsoft SQL Server 2014; one virtual machine per node.

Each virtual machine consisted of 24 virtual CPUs, 64 GB RAM, and thin-provisioned disks in the layout

described in Table 1.

Microsoft SQL Server Disk Layout

http://go.nutanix.com/microsoft-sql-server-converged-infrastructure.html



100GB Drive C: Windows OS Disk

80 GB Drive D: Windows Pagefile Disk

50 GB Drive E: Database Disk

50 GB Drive F: Database Disk

50 GB Drive G: Database Disk

50 GB Drive H: Database Disk

25 GB Drive T: TempDB Disk

33 GB Drive L: SQL Logs

VM settings followed the Nutanix best practices found at http://go.nutanix.com/microsoft-sql-server-

converged-infrastructure.html.

Scaling the test environment consisted of adding one XC 630 series cluster node and one Microsoft Windows

and Microsoft SQL Server virtual machine workload at a time. The same tests were executed following each

addition to the cluster.

3.4 Database layout The database used for this testing was created by Benchmark Factory for a TPCE-like workload. For this

workload, the size of the database is based on the benchmark scale specified for the test. A benchmark scale

of 10 was used for this test and resulted in approximately a 100GB database. The database consisted of four

40GB physical data files and a single 25GB log file. The files were sized with adequate free space to

accommodate the data generated during the test. Each data file was placed on a separate volume. The log

file was placed on its own volume as well. An additional drive was allocated for TempDB as a best practice

even though TempDB utilization was virtually irrelevant during the test.

3.5 Network configuration For this study of scale, the use of VM to VM communication was not required. Therefore, this environment did

not utilize the network configuration. However, networking best practices can be found in the Nutanix best

practices guide found at: http://go.nutanix.com/microsoft-sql-server-converged-infrastructure.html.






4 Test methodology A series of tests were conducted using Benchmark Factory to simulate a TPC-E like workload to understand

the performance and scalability characteristics of SQL server databases deployed on Dell EMC XC Nutanix

clusters. The test was run with a user load of 30, the default transaction mix and no delay in the transaction

latency. Typically, in TPC-E like tests there is a certain amount of latency included in the transactions to

simulate actual users. However, this test was not run to simulate actual users but rather to generate an

acceptable workload on the system. The duration of an entire test run was one hour. The first 15 minutes of

that hour were used as ramp-up time for the test to achieve a steady state. Once a steady state was

achieved, statistics were calculated based on the performance of the final 45 minutes of the run.

4.1 Test criteria The test study presented in this paper was executed to develop best practices for:

Maintaining the database server CPU utilization below a 70% average

Maintaining application response times below two seconds (the industry standard acceptable latency

for MS SQL server OLTP database applications)

Eliminating bottlenecks (such as database locking, user and system I/O wait, or others) while

executing the peak I/O load

Ensuring that workload performance scales in a linear fashion as additional cluster nodes and

application workload is added

4.2 Measurement and monitoring Detailed performance metrics were captured from various layers within the XC cluster.

Benchmark Factory

The following metrics were captured from Benchmark Factory while executing TPC-E database

transactions:

- TPS: Transactions per second, based on the simulated load

- Average Response time: The time from when SQL is sent until a response is received

- Average Transaction Time: The time from when a query is submitted until the result is returned

Windows Performance Monitor

The following metrics were captured from Windows Performance Monitor (perfmon) within the guest

during the tests:

- Disk Transfers/sec: Rate of read and write operations to disk

- % Processor Time: Percentage of elapsed time the processor spends on execution

XC Prism



Prism, the GUI management utility, was used to monitor cluster activity and health during test runs.

Real time data during test runs indicated that the cluster remained healthy during the significant

workload testing.

4.3 Test approach A TPC-E like workload was simulated on SQL Server databases running on a three-node XC Nutanix cluster

to establish a performance baseline. After establishing the baseline, the number of nodes in the cluster was

incrementally increased to six to validate the linear scalability. The details of the different tests and the

configuration are described in the following section.

4.3.1 Baseline configuration The baseline performance characterization was performed on a three-node XC cluster, running three VMs,

each containing a SQL Server instance, a single database and an instance of Benchmark Factory.

Base test configuration

4.3.2 Four-node configuration Once baseline performance metrics were captured for three nodes, an additional XC node was added and the

tests were performed for a four-node configuration. The additional XC node contained the same hardware

configuration as the original three. The additional VM contained the same workload, software components

and configuration.



Test 2: Four-node, four VM configuration

4.3.3 Five-node configuration After performance metrics were captured for four nodes, another XC node was added and the tests were

performed for a five-node configuration. Following the same test methodology, the additional XC node

contained the same hardware configuration as the original three. The additional VM contained the same

workload, software components and configuration.

Test 3: five-node, five VM configuration

4.3.4 Six-node configuration The final scalability test was performed with six nodes using the same test methodology as the previous tests.



Test 4: six-node, six VM configuration



5 Test results The TPC-E-like tests were run on four separate configurations. First, a three-node configuration was tested to

establish a performance baseline. Then, a test was run with an additional Dell EMC XC630 node for the

cluster and an additional VM to test a four- node configuration. This process was repeated for the five-node

and six-node configurations. The results from these two tests are described in Section 5.2.

5.1 Baseline performance To establish the performance baseline, the OLTP workload was run on a three-node XC cluster with three

VMs. Each VM contained a single instance of SQL Server, a single database, and Benchmark Factory. The

number of users was adjusted within Benchmark Factory to produce a realistic production workload in terms

of CPU and I/O. The performance in terms of Transactions per Second, CPU, and I/O are shown below. In

addition, all instances reported an application response time of 15ms. (Note – All performance measurements

are from the workload VM / application perspective)

Transactions per second and transaction time per VM for baseline (three-node) test

1879 1945 1921

15 15 15

SQL01 SQL02 SQL03

Trans Per Sec

Trans Time (ms)



CPU utilization and disk requests/sec (IOPS) per VM on baseline (three-node) test

As you can see from the results, consistent performance was observed on all three VMs hosting SQL Server

databases with very low latency when a realistic TPC-E like production database workload was simulated on

a three-node XC cluster.

5.2 Performance scalability

5.2.1 Four-node test This test was performed by adding a Dell EMC XC630 node to the cluster and a VM to the three-node XC

cluster configuration.

Transactions per second and transaction time per VM on a four-node test

3102 3202 3192

65% 64% 63%

SQL01 SQL02 SQL03

IOPS

% CPU Time

1879 1885 18641967

15 15 15 15

SQL01 SQL02 SQL03 SQL04

Trans Per Sec

Trans Time (ms)



CPU utilization and disk requests/sec (IOPS) per VM on a four-node test

When the fourth node was added, linear scalability in performance was observed. The average latency

remained very low on all VMs.

5.2.2 Five-node test

Transactions per second and transaction time per VM on a five-node test

3157 3122 30843289

64% 64% 65% 62%

SQL01 SQL02 SQL03 SQL04

IOPS

% CPU Time

1906 1887 1928 1979 1961

15 15 15 15 15

SQL01 SQL02 SQL03 SQL04 SQL05

Trans Per Sec

Trans Time (ms)



CPU utilization and disk requests/sec (IOPS) per VM on a five-node run

When the fifth node was added, linear scalability was observed.

5.2.3 Six-node test

Transactions per second and transaction time per VM on a six-node test

3172 30823202 3293 3260

64% 64% 65%62% 62%

SQL01 SQL02 SQL03 SQL04 SQL05

IOPS

% CPU Time

18721969

18701953 1951 1938

15 15 15 15 15 15

SQL01 SQL02 SQL03 SQL04 SQL05 SQL06

Trans Per Sec

Trans Time (ms)



CPU utilization and disk requests/sec (IOPS) per VM on a six-node run

Adding a sixth node further improved the performance in a linear fashion without increasing latency. This

test clearly demonstrates the fact that as nodes are added, Dell EMC XC appliances are able to provide

linear scalability in performance without compromising latency.

5.3 Summary The tests results in Sections 5.1 and 5.2 clearly show the linear scalability of MS SQL Server database

deployed on Dell EMC XC Nutanix clusters. In all tests, throughput and system performance was linear when

scaling from a base configuration of three-nodes up to six-nodes.

The following chart shows the scale of this test environment. The blue line indicates the average TPS for all

SQL Server VMs included in the test run. The colored points on the chart show the TPS for each SQL Server

VM in the test run as a percentage above or below the average.

As shown in the chart, the linear scalability of the Dell EMC XC Nutanix cluster was exceptional. The

individual throughput measured in TPS for all virtual machines only varied 4% from the average.

30683259

30803268 3242 3217

63% 61% 62% 61% 61% 62%

SQL01 SQL02 SQL03 SQL04 SQL05 SQL06

IOPS

% CPU Time



TPS Scale: Average and differentials for each test run

Additionally, the CPU and Disk I/O utilization from Prism, the Nutanix graphical user interface, for the whole

cluster during the final round of testing (the six-Node test), can be seen in Figure 18.

XC cluster real time performance data during the six-node test

Figure 19 shows CPU utilization of each of the VM workload SQL servers during the final round of testing.



XC cluster real time performance data during the six-Node test



6 Conclusion The Dell EMC XC Nutanix platform is well equipped to handle the throughput and transaction requirements of

a demanding Microsoft SQL (MSSQL) server, given NDSF localized I/O and server-attached flash.

Nutanix offers platforms with a range of form factors and performance characteristics that enable you to

match the workload with the most effective platform. This modular approach enables easy scaling for MSSQL

deployments. Start with a small environment and linearly scale up as demands increase, adding both

compute and storage at the same time. A Nutanix powered data center provides scalable, high performance

MSSQL servers while also providing the ability to run many types of virtual workloads.

The test results in this paper have illustrated the linear scale capability of the Dell EMC XC Nutanix platform

for SQL Server workloads. Both database throughput and system resource utilization were proven to scale in

a linear fashion by simply adding nodes to the cluster as required.

To achieve optimal database performance, adhere to the applicable best practices presented in this paper. It

must be ensured that the entire ecosystem, including server resources and network switches, are sized and

configured appropriately to meet the workload performance requirements. Also ensure that the operating

system and databases are configured with the optimal settings and design recommendations mentioned in

this paper.



A Configuration details

This section contains an overview of the configurations used for the testing described in this document.

Test configuration - Hardware components

Solution Configuration - Hardware Components: Description

XC Series Nodes (Compute and Storage) Nutanix Operating System version (NOS) 4.1.2.1

XC 630 Series Web-scale Converged Appliance (2) 16-Core Intel E5-2698 v3 2.30 GHz CPUs (16) 32GB DDR-4 QR 2133MHz RAM (512GB Total) (2) 400GB SATA SSDs (8) 1TB 7.2K SATA Disks (2) Intel I350 Gigabit NICs (1) Intel 82599 2-Port 10 Gigabit NIC (1) Intel X520 2-Port 10 Gigabit NIC

Testing utilized 3 nodes for the baseline. Node count was incremented up by one for each successive test run. Intel I350 NICs are used for Hypervisor management. Intel 82599 NIC ports are used for Cluster operations between cluster nodes and CVMs. Intel X520 NIC ports are used for “Production” network traffic, – Not used for this testing.

Management server Nutanix Control Virtual Machine (CVM) (8) vCPUs (32) GB RAM

The cluster is managed via a CVM on each cluster node.

Network Dell Force10 S4810 switch Firmware: 8.3.12.0

This 10Gb switch was used for Cluster operations; connecting all Cluster nodes and all CVMs.



Test configuration - Software components

Test configuration - Software components

Database Server SQL Server 2014 SP1 Enterprise Edition Build 12.0.4100.1

Testing Application Dell Software Benchmark Factory for Databases Version 7.2

Operating System Windows Server 2012 R2 Standard Edition



B Additional resources

Support.dell.com is focused on meeting your needs with proven services and support.

DellTechCenter.com is an IT Community where you can connect with Dell Customers and Dell employees for

the purpose of sharing knowledge, best practices, and information about Dell products and your installations.

Referenced or recommended publications:

Dell EMC XC Series Appliances powered by Nutanix - Documentation:

http://en.community.dell.com/techcenter/storage/w/wiki/11457.dell-xc-series-appliances-powered-by-

nutanix-documentation

Dell EMC XC Series Web-Scale Converged Appliance:

http://en.community.dell.com/techcenter/storage/w/wiki/11454.dell-xc-series-web-scale-converged-

appliance

http://en.community.dell.com/techcenter/storage/w/wiki/11457.dell-xc-series-appliances-powered-by-nutanix-documentation

http://en.community.dell.com/techcenter/storage/w/wiki/11457.dell-xc-series-appliances-powered-by-nutanix-documentation

http://en.community.dell.com/techcenter/storage/w/wiki/11454.dell-xc-series-web-scale-converged-appliance

http://en.community.dell.com/techcenter/storage/w/wiki/11454.dell-xc-series-web-scale-converged-appliance

Virtualized SQL Server Performance and Scaling on Dell EMC ... · Published in the USA. ... by sending an email to [email protected]. ... Server database installation and administration

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