Intelliflash Best Known Methods – Microsoft SQL Server
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Using Dell EMC Unity Storage in an Equinix Cloud-Connected Data Center
Using Dell EMC Unity Storage in an Equinix Cloud- Connected Data Center A Detailed Review Abstract This whitepaper discusses use cases for running Dell EMC Unity storage in a public cloud colocation facility, validates storage latency and performance, and provides recommendations. October 2019 Dell EMC Technical White Paper Internal Use - Confidential Revisions Version Date Description 0.01 February 2019 Initial draft 0.18 May 2019 Updated to include Microsoft Azure 0.24 October 2019 Minor edits Acknowledgements This paper was produced by the following members of the Dell EMC Presales team: Author: Ryan Tassotti This whitepaper was possible thanks to the contributions from: • Rajiv Juneja Dell EMC • Alex Seymour Dell EMC • Gabriel Lageyre Equinix • Lee Sharping Equinix • Mischa Jampolsky Equinix 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. © 2019 Dell Inc. or its subsidiaries. All Rights Reserved. Dell, EMC, Dell EMC and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. Equinix, Platform Equinix, and IBX are registered trademarks of Equinix, Inc. Equinix Cloud Exchange Fabric, ECX Fabric, and Equinix International Business Exchange are trademarks of Equinix, Inc. Dell believes the information in this document is accurate as of its publication date. The information is subject to change without notice. 2 Using Dell EMC Unity Storage in an Equinix Cloud-Connected Data Center Internal Use - Confidential Table of contents Revisions............................................................................................................................................................................ -
Intelliflash Best Known Methods – Vmware Vsphere
IntelliFlash™ Best Known Methods VMware vSphere® IntelliFlash Best Known Methods - VMware vSphere 1 Table of Contents OVERVIEW 4 SCOPE 4 TARGET AUDIENCE 4 PLANNING AHEAD 5 VM AND APPLICATIONS 5 NETWORKING 5 BOOT FROM SAN 5 INTELLIFLASH SYSTEM NETWORK DESIGN 6 ETHERNET BASICS 6 ISCSI AND NFS NETWORKS 6 FIBRE CHANNEL NETWORK 7 ESXI AND VMWARE VCENTER CONFIGURATION 8 NETWORK CONFIGURATION 8 ISCSI NETWORK CONFIGURATION 8 SOFTWARE ISCSI INITIATOR CONFIGURATION 10 ESXI FC ADAPTER WWPNS 11 ESXI HOST NFS CONFIGURATION 11 INTELLIFLASH SAN/NAS CONFIGURATION 12 CONFIGURING NETWORK SETTINGS FOR ISCSI AND NFS 12 SAN CONFIGURATION 12 STORAGE PROVISIONING 14 POOL PROVISION 14 FLOW CONTROL 11 LUN MAPPING CONFIGURATION 14 LUN AND SHARE CONFIGURATION 15 STORAGE CONFIGURATION ON ESXI 16 ISCSI DISCOVERY 16 MODIFYING LUN MAPPING 16 VMWARE DATASTORES 18 IntelliFlash Best Known Methods - VMware vSphere 2 VIRTUAL MACHINE DEPLOYMENT AND MAINTENANCE 20 VIRTUAL DISK PROVISION TYPE 20 FILE SYSTEM BLOCK ALIGNMENT ON GUEST OPERATING SYSTEMS 20 ADDITIONAL VM CREATION BEST PRACTICES 21 BACKUP AND RESTORE 23 VM BACKUP AND RESTORE 23 APPLICATION DATA BACKUP AND RESTORE 23 SEPARATING APPLICATION DATA FROM GUEST OS 24 APPLICATION DATA RESTORE 25 DISASTER RECOVERY 26 REPLICATION NETWORK CONSIDERATION 26 RECOVERY FROM REPLICATION 27 RECOVERY USING SRM/SRA 27 INTELLIFLASH VMWARE INTEGRATION 28 INTELLIFLASH VMWARE CLIENT PLUGIN (VCP) 28 ESXI CONFIGURATION WITH INTELLIFLASH VCP 28 HYPERCLONE 29 INTELLIFLASH AND VAAI 29 CLONING PRIMITIVES 29 THIN PROVISIONING PRIMITIVES 29 PERFORMANCE TUNING 33 UNDERSTANDING QUEUE DEPTH END-TO-END 33 QUEUE DEPTH ON ESXI 34 INTELLIFLASH SYSTEM QUEUE DEPTH 36 ADDITIONAL TUNING CONSIDERATIONS 37 TROUBLESHOOTING 38 TESTING JUMBO FRAMES 38 ESXTOP 38 VMWARE LOGS 39 INTELLIFLASH ANALYTICS 39 DISCLAIMERS 39 IntelliFlash Best Known Methods - VMware vSphere 3 Overview Concerns about virtual server performance often prevent certain enterprise applications from being virtualized. -
Accelerating Vmware® with Intelliflash™ Systems
SOLUTION Accelerating VMware® with BRIEF IntelliFlash™ Systems As you move more workloads to a virtualized environment, chances are your legacy storage based upon standard infrastructure will struggle to keep up. Each one of your virtual machines (VMs) is sending an I/O stream to the hypervisor for processing. As you deploy more VMs, this creates highly random I/O—also known as the I/O Blender effect—which can lead to high latency and unpredictable performance. The solution to this is Intelligent Infrastructure such as Tintri IntelliFlash. IntelliFlash systems effectively manage random I/O streams to deliver consistently high performance at low latency and at one-third the cost per gigabyte of traditional storage systems. Each system includes a comprehensive set of data services and seamlessly supports different storage media (NVMe™ flash, performance flash, dense flash, and hard disks) under a single storage operating environment. You can choose the amount of flash storage to meet your performance needs. Get the lightning-fast performance of flash with the economics of disk. Experience Different! Deliver Consistently High Performance IntelliFlash is available in NVMe, all-flash, and hybrid configurations. NVMe is perfect for extremely low latency, burstable workloads. Go with NVMe or all-flash for virtualized workloads that require sustained low latency and very high IOPS. For a balance of performance and economics, choose a hybrid system. Add capacity with additional storage when needed. All IntelliFlash systems are powered by the IntelliFlash Operating Environment. This proprietary operating environment employs several techniques to intelligently manage different storage media and neutralize the I/O Blender effect. -
Starwind Virtual SAN ® Benchmarking Best Practices 1 One Stop Virtualization Shop
One Stop Virtualization Shop StarWind Virtual SAN® Benchmarking Best Practices FEBRUARY,2019 BEST PRACTICES StarWind Virtual SAN ® Benchmarking Best Practices 1 One Stop Virtualization Shop Trademarks “StarWind”, “StarWind Software” and the StarWind and the StarWind Software logos are registered trademarks of StarWind Software. “StarWind LSFS” is a trademark of StarWind Software which may be registered in some jurisdictions. All other trademarks are owned by their respective owners. Changes The material in this document is for information only and is subject to change without notice. While reasonable efforts have been made in the preparation of this document to assure its accuracy, StarWind Software assumes no liability resulting from errors or omissions in this document, or from the use of the information contained herein. StarWind Software reserves the right to make changes in the product design without reservation and without notification to its users. Technical Support and Services If you have questions about installing or using this software, check this and other documents first - you will find answers to most of your questions on the Technical Papers webpage or in StarWind Forum. If you need further assistance, please contact us . About StarWind StarWind is a pioneer in virtualization and a company that participated in the development of this technology from its earliest days. Now the company is among the leading vendors of software and hardware hyper-converged solutions. The company’s core product is the years-proven StarWind Virtual SAN, which allows SMB and ROBO to benefit from cost-efficient hyperconverged IT infrastructure. Having earned a reputation of reliability, StarWind created a hardware product line and is actively tapping into hyperconverged and storage appliances market. -
SQL Server Performance Tuning on Google Compute Engine
SQL Server Performance Tuning on Google Compute Engine Erik Darling Brent Ozar Unlimited March 2017 Table of contents Introduction Measuring your existing SQL Server Trending backup size Projecting future space requirements Trending backup speed Bonus section: Backing up to NUL Trending DBCC CHECKDB Trending index maintenance Recap: your current vital stats Sizing your Google Compute Engine VM Choosing your instance type Compute Engine’s relationship between cores and memory Memory is more important in the cloud Choosing your CPU type Putting it all together: build, then experiment Measuring what SQL Server is waiting on An introduction to wait stats Getting more granular wait stats data Wait type reference list CPU Memory Disk Locks Latches Misc Always On Availability Groups waits Demo: Showing wait stats with a live workload About the database: orders About the workload Measuring SQL Server with sp_BlitzFirst Baseline #1: Waiting on PAGEIOLATCH, CXPACKET, SOS_SCHEDULER_YIELD Mitigation #1: Fixing PAGEIOLATCH, SOS_SCHEDULER_YIELD Configuring SQL Server to use the increased power TempDB Moving TempDB Max server memory 1 CPU Baseline #2: PAGEIOLATCH gone, SOS_SCHEDULER_YIELD still here Mitigation #2: Adding cores for SOS_SCHEDULER_YIELD waits Baseline #3: High CPU, and now LCK* waits Mitigation #3: Fixing LCK* waits with optimistic isolation levels Batch requests per second 2 Introduction This whitepaper discusses how to create a SQL server in Compute Engine and then use performance metrics to optimize its performance. This paper is intended for database administrators, Windows admins, or developers planning to build your first SQL Servers in Google Compute Engine. In this white paper, you’ll learn how to do the following: ● Measure your current SQL Server using data already have. -
Clouditalia Relies on Tintri's VM-Aware Storage
Clouditalia Relies on Tintri’s VM-aware Storage Italian Cloud Infrastructure Chooses Tintri for its High Performance and Easy Manageability www.clouditalia.com Clouditalia Industry Clouditalia Communications S.p.A. is the first Italian company to provide integrated • Telecom and Cloud cloud and telecommunications services dedicated to medium-sized companies. Founded in 2012, Clouditalia now delivers a wide range of tailored and integrated Geography telecommunications, connectivity and cloud computing solutions with enhanced • Rome, Italy connectivity to major network sites, including Rome, Milan, Bologna and Pisa. Virtualization environment • VMware vSphere • Traditional storage: NetApp and EMC IT Challenges VM profile Clouditalia had been relying on a mix of storage solutions from several traditional • All customer workloads and internal vendors, including NetApp and EMC. “Our existing storage systems were not providing business applications enough performance for our customers’ applications, especially those with very high I/O Key challenges requirements like real-time ticketing,” noted Francesco Baroncelli, Market and Operations, • Inadequate performance and high Clouditalia, “We started looking for a better system last year. At first we considered a latencies with existing storage traditional storage solution from NetApp, but it proved to be too expensive for the amount systems of infrastructure we needed to meet our customers’ service level agreements.” Tintri solution • Three Tintri VMstore™ T880 systems Bernado Marzucchi, CTO at Clouditalia: “We first learned about Tintri at VMworld in 2013,” he reported. “I watched the Tintri demo and was really impressed with its Primary use case • Tintri is being used at Clouditalia’s performance and manageability. The Tintri approach is much more innovative than the internal datacenters and for its traditional solutions from EMC, NetApp or HP. -
Tintri Vmstore T1000 All-Flash Storage Systems Provide an Intelligent Infrastructure to Deliver Powerful and Efficient All-Flash Performance Across Your Data Center
DATA Tintri VMstore™ T1000™ SHEET All-Flash Storage System Maximum Performance for Remote and Branch Offices Flash storage has the power to fundamentally transform how you do business. But most solutions force you to compromise on performance, price, or features. Tintri VMstore T1000 all-flash storage systems provide an Intelligent Infrastructure to deliver powerful and efficient all-flash performance across your data center. The T1000 as with other VMstore storage systems is managed from single point, providing a consistent experience across your organization. Whether the T1000 is placed in the core or the main data center, when you need to expand to smaller locations or areas where you do not need the robust performance and scalability, the T1000 can be managed from the same Tintri Global Center console. You get the same level of analytics, replication at the virtual machine level, and enterprise cloud management across all your VMstore environment. At the core of the VMstore T1000 is the unique VMstore file system that is built specifically for virtualized workloads. This enables you to control each application automatically and match capacity to business needs one drive at a time. The VMstore T1000 delivers an exceptional user experience through completely autonomous operation, real-time and predictive analytics, and powerful automation at the application level to support your virtualized workloads. Consolidate your virtualized enterprise applications onto a scalable, performant, and easy-to-use Intelligent Infrastructure. When the data that drives your line-of-business applications resides on VMstore T1000, your operations are dramatically simplified. Go from pilot to production with a few clicks of a button. -
Contents Introduction
Contents Introduction ............................................................................................................................................. 2 General Performance Notes .................................................................................................................... 2 CB Protection Server One-tier Architecture .............................................................................................. 2 CB Protection Server Two-tier Architecture .............................................................................................. 3 Choosing Proper Hardware for the SQL Server .................................................................................... 3 Choosing Proper Hardware for CB Protection Server ........................................................................... 3 Network Configuration ......................................................................................................................... 3 Network Latency Impact....................................................................................................................... 3 SQL Permissions ..................................................................................................................................... 5 SQL Server Memory Configuration .......................................................................................................... 6 CB Protection Server Database Storage ................................................................................................. -
Seyyed Ahmad Javadi
Seyyed Ahmad Javadi <[email protected]> Address: Lab FE08, 15 JJ Thomson Avenue, Cambridge CB3 0FD http://www3.cs.stonybrook.edu/~sjavadi/ Phone number: +44-7936 875192 https://github.com/sajavadi RESEARCH INTERESTS • Cloud Computing, Distributed Systems, Performance Analysis and Modeling, Operating Systems EDUCATION PhD in Computer Science, Stony Brook University, USA Aug. 2014-Jun. 2019 • Advisor: Dr. Anshul Gandhi • Thesis title: Analytical Approaches for Dynamic Scheduling in Cloud Environments MSc in Software Engineering, Sharif University of Technology, Iran Sep. 2010-Sep. 2012 • Advisor: Prof. Rasool Jalili • Thesis title: Analysis of Non-monotonic Property in Access Control for Pervasive Computing Environments BSc in Software Engineering, Ferdowsi University of Mashhad, Iran Sep. 2006-Jul. 2010 TECHNICAL AND RESEARCH EXPERIENCE • Postdoctoral Researcher, University of Cambridge, CompAcctSys, July 2019-present – Current research: I am currently working on audit logging challenges in the Internet of Things, online social platforms, and cloud computing environments. The goal is to propose novel audit logging and distributed log analysis approaches that preserve users’ personal data privacy. These techniques can be leveraged to audit applications accessing users’ personal data at run-time and their access pattern as well as to detect malicious usages of online social platforms and machine learning as services, just to name a few. • Research Assistant, Stony Brook University, PACE Lab, January 2018-June 2019 – Resource-adaptive Batch Workload Management in Cloud Environments: Resource under-utilization is com- mon in cloud data centers. To improve server utilization, batch workloads can be run in the background to leverage idle resources. However, customer Virtual Machines’ (VMs) performance can be degraded because of resource con- tention. -
3PAR Storeserv 8440 All-Flash Array and Store More Data in Less Space Thanks to Deduplication the Company Where Arthur Works Has a Fantastic Cafeteria
A Principled Technologies report: Hands-on testing. Real-world results. 30 times more IOPS Serve more users 01101001010 01011101001 01010010011 00100100111 96% lower latency Provide a better 01101001010 01011101001 01010010011 customer experience 00100100111 Data deduplication ratio of 11 to 1 Make the most of storage capacity compared to a legacy storage solution Improve database performance and response time with the HPE 3PAR StoreServ 8440 all-flash array and store more data in less space thanks to deduplication The company where Arthur works has a fantastic cafeteria. Lately, though, he’s been brown- bagging it and eating in his office to avoid running into database administrators. “You have to do something about the database servers!” they usually say, but he knows the problem is actually storage. While hard drive-based arrays once met the company’s needs, the data demands of employees and customers have exploded. Upgrading to speedier all-flash storage seems necessary, but Arthur is concerned about capacity. What his company needs is an SSD-based solution that can accommodate its current and future volumes of data. Could the HPE 3PAR StoreServ 8440 Storage array, which is powered by Intel® Xeon® processors, be what Arthur is looking for? In the Principled Technologies datacenter, we tested this all-flash storage solution, along with the older, hard drive-based HPE 3PAR StoreServ 7400 Storage array. We found that upgrading to the 8440 could dramatically improve both performance and response time and boost storage efficiency with inline deduplication. With results like that, Arthur could start eating in the cafeteria again! This report uses a fictional scenario in which a datacenter administrator considers upgrading to the all-flash HPE 3PAR StoreServ 8440 Storage array. -
The Diskspd Storage Performance Tool
The DiskSpd Storage Performance Tool DiskSpd is a highly customizable I/O load generator tool that can be used to run storage performance tests against files, partitions, or physical disks. DiskSpd can generate a wide variety of disk request patterns for use in analyzing and diagnosing storage performance issues, without running a full end-to- end workload. You can simulate SQL Server I/O activity or more complex, changing access patterns, returning detailed XML output for use in automated results analysis. Contents 1 Vision for the DiskSpd tool................................................................................................................... 3 1.1 Acknowledgments ...................................................................................................................... 3 2 The DiskSpd command and parameters ............................................................................................. 3 2.1 DiskSpd basic parameters ........................................................................................................... 3 2.2 DiskSpd event parameters .......................................................................................................... 7 2.3 ETW parameters for use with DiskSpd.exe................................................................................. 7 2.4 Size conventions for DiskSpd parameters .................................................................................. 8 3 Customizing DiskSpd tests .................................................................................................................. -
3Rd Gen Intel® Xeon® Scalable Platform Technology Preview
Performance made flexible. 3rd Gen Intel® Xeon® Scalable Platform Technology Preview Lisa Spelman Corporate Vice President, Xeon and Memory Group Data Platforms Group Intel Corporation Unmatched Portfolio of Hardware, Software and Solutions Move Faster Store More Process Everything Optimized Software and System-Level Solutions 3 Announcing Today – Intel’s Latest Data Center Portfolio Targeting 3rd Gen Intel® Xeon® Scalable processors Move Faster Store More Process Everything Intel® Optane™ SSD P5800X Fastest SSD on the planet 3rd Gen Intel® Xeon® Scalable Intel® Optane™ Persistent processor Memory 200 series Intel® Ethernet E810- Intel’s highest performing server CPU 2CQDA2 Up to 6TB memory per socket with built-in AI and security solutions + Native data persistence Up to 200GbE per PCIe 4.0 slot for Intel® Agilex™ FPGA bandwidth-intensive workloads Intel® SSD D5-P5316 First PCIe 4.0 144-Layer QLC Industry leading FPGA logic performance and 3D NAND performance/watt Enables up to 1PB storage in 1U Optimized Solutions >500 Partner Solutions 4 World’s Most Broadly Deployed Data Center Processor From the cloud to the intelligent edge >1B Xeon Processor Cores Deployed in the >50M Cloud Since 20131 Intel® Xeon® >800 cloud providers Scalable Processors with Intel® Xeon® processor-based servers Shipped deployed1 Intel® Xeon® Scalable Processors are the Foundation for Multi-Cloud Environments 1. Source: Intel internal estimate using IDC Public Cloud Services Tracker and Intel’s Internal Cloud Tracker, as of March 1, 2021. 5 Why Customers Choose