Lab Validation Report

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1 Lab Validation Report EMC Data Domain and Avamar Performance and Efficiency for VMware Data Protection By Kerry Dolan, Lab Analyst October 2015

2 2 Contents Introduction... 3 Background... 3 ESG Lab Validation... 6 Ease of Integration... 6 Performance and Efficiency... 9 ESG Lab Validation Highlights Issues to Consider The Bigger Truth Appendix ESG Lab Reports The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third- party perspective is based on our own hands- on testing as well as on interviews with customers who use these products in production environments. This ESG Lab report was sponsored by EMC. All trademark names are property of their respective companies. Information contained in this publication has been obtained by sources The Enterprise Strategy Group (ESG) considers to be reliable but is not warranted by ESG. This publication may contain opinions of ESG, which are subject to change from time to time. This publication is copyrighted by The Enterprise Strategy Group, Inc. Any reproduction or redistribution of this publication, in whole or in part, whether in hard- copy format, electronically, or otherwise to persons not authorized to receive it, without the express consent of The Enterprise Strategy Group, Inc., is in violation of U.S. copyright law and will be subject to an action for civil damages and, if applicable, criminal prosecution. Should you have any questions, please contact ESG Client Relations at

3 3 Introduction This report documents hands- on testing and validation of an EMC data protection solution for virtual environments using Avamar Virtual Edition with a Data Domain system, with a focus on the ease of integration, efficiency, scalability, and backup/restore performance. Background According to ESG research, over the past five years, IT professionals have consistently identified improving data backup and recovery, managing data growth, and increasing the use of server virtualization among their top IT priorities. In ESG s 2015 IT Spending Intentions Survey, only information security initiatives were cited more often (see Figure 1). 1 One challenge for organizations is that data growth has a big impact on data backup and recovery: Ever- expanding volumes of data lengthen backup windows and recovery times, often to the point of interfering with production activities, while also demanding increasing amounts of back- end storage. Figure Top- ten Most- cited IT Priorities Top 10 most important IT prioriaes over the next 12 months. (Percent of respondents, N=601, ten responses accepted) Informadon security inidadves 34% Improving data backup and recovery Managing data growth Increasing use of server virtualizadon Desktop virtualizadon Using cloud infrastructure services Regulatory compliance inidadves Business condnuity/disaster recovery programs Building a private cloud infrastructure Improving collaboradon capabilides 26% 26% 25% 25% 25% 24% 23% 22% 22% 0% 5% 10% 15% 20% 25% 30% 35% 40% Source: Enterprise Strategy Group, In addition, many organizations have a difficult time finding the best option for protecting their ever- growing VMware virtual machines (VMs). Each VM requires an individual backup job, which can be difficult at scale. Traditional backup solutions struggle with the shared resources of VMs, putting SLAs at risk. VM backups often include redundant OS, application, and file data the enormous amounts of data often mean backups cannot be completed during backup windows without leaving some VMs unprotected, and managing all these backups can be an operational nightmare. Another challenge is that running separate physical and virtual backups results in more servers, storage, and software to buy and manage, driving up costs and complexity. 1 Source: ESG Research Report, 2015 IT Spending Intentions Survey, February 2015.

4 4 EMC Data Domain and Avamar This EMC data protection solution combines the simple and efficient Avamar backup/recovery software with the performance, scale, and efficiency of a Data Domain system. Data Domain Data Domain systems are highly scalable, purpose- built protection storage appliances that provide high- speed deduplication for backup and archiving, and replication for disaster recovery. The family of models can scale up to 86.4 PB of logical capacity. Variable- length deduplication maximizes dedupe rates, reducing backup and archive storage requirements by 10 to 30 times on average, making Data Domain a cost- effective alternative to other backup appliances or tape. These systems provide a target for a wide variety of enterprise backup and archiving workloads, including VMs, databases, mainframes, IBM i systems, NAS, e- mail, big data, content management apps, and remote offices. Data Domain systems support both backup and archive data simultaneously, eliminating the need to buy and manage a separate storage platform for archiving, as well as enabling global deduplication across both backup and archive data. Secure multi- tenancy is built into the Data Domain Operating System (DD OS), enabling hybrid cloud- based data protection- as- a- service for enterprises or service providers. Simple installation and easy management ensure lower OpEx. Data Domain systems are built with the Data Domain Data Invulnerability Architecture for maximum reliability and data integrity, performing inline verification of writes and reads and automatically recovering from I/O errors during ingest and retrieval. This ensures that backups and recoveries are successfully completed. Data Domain provides a wide range of backup options through support for NFS, CIFS, VTL, NDMP, and Data Domain Boost; the latter integrates with backup and enterprise applications to dramatically speed backups and reduce network utilization. Avamar Avamar backup software delivers daily full backups with variable length deduplication for VMware environments as well as for business- critical applications, NAS, desktops/laptops, and remote offices. Avamar can be deployed with a physical appliance for metadata or using the Avamar Virtual Edition appliance, as was used in this testing. When Avamar is combined with Data Domain, DD Boost code included in the Avamar client is used to distribute parts of the deduplication processing to the client side, reducing backup data and requiring less bandwidth. Avamar s web- based management provides central control across a global deployment; it can also be managed through vsphere. For VMware environments, both guest- and image- level backups are supported. Avamar is integrated with VMware s vstorage APIs for Data Protection (VADP), enabling agentless guest backups. For image- level backups, Avamar offloads the backup process from the application VMs to multiple proxy VMs as needed, and intelligently load balances among them. Avamar also leverages VMware Changed Block Tracking (CBT) to speed backup and restore. After the initial full backup Avamar transfers only changed data, but creates a complete recovery point for restore. This forever full method delivers fast performance for both backup and restore; in comparison, traditional methods require rolling back to the most recent full and then staging the subsequent incremental backups, taking more time and sometimes impacting recovery reliability. Avamar provides fast, single- step recovery of entire VMs or individual files. In addition, Avamar VM images stored on the Data Domain target can be instantly accessed, a technique often used for test/dev and recovery validation; VMs can be run directly on the Data Domain for immediate use, while the running VM is transferred back to the original location in the background using vmotion. Tested Solution: EMC Data Domain and Avamar ESG Lab tested an EMC Data Protection Solution that included Data Domain and Avamar with the virtual environment hosted on an EMC XtremIO all- flash storage array. Figure 2 provides a conceptual overview of the solution. On the left, a VMware ESX hypervisor hosts multiple application VMs, the Avamar Virtual Edition VM, and proxy VMs. The Avamar Administrator dashboard is shown at the top. A proxy VM leverages VMware CBT to

5 5 identify changed data. Then leveraging DD Boost, parts of the Data Domain deduplication process are distributed to Avamar, where client- side deduplication ensures only unique data is sent from the Avamar client to Data Domain. The highly scalable Data Domain system can serve simultaneously as a target for other backup and archiving workloads, as shown on the right. For this testing, XtremIO was used as the client- side storage platform to eliminate the possibility of any storage bottleneck. Figure 2. Solution Overview: EMC Avamar and Data Domain

6 6 ESG Lab Validation ESG Lab conducted hands- on testing as well as auditing of tests performed in one of EMC s Hopkinton, MA labs. Testing was designed to demonstrate the ease of integrating Avamar and Data Domain, the efficiency of both capacity and CPU usage, and the performance of backup and restore, all with a focus on VMware backups. Ease of Integration EMC Avamar and EMC Data Domain systems are extremely simple to integrate, enabling organizations to leverage the scalability and built- in protection of Data Domain for Avamar backups. ESG Lab audited the integration procedure, which took only a few steps and less than five minutes. ESG Lab Testing Using a powered- on and network- connected Data Domain DD4500, the first step was to add the Data Domain system for Avamar to use as a target. Provisioning it can be done completely within the Avamar Administrator management console, without having to launch the Data Domain System Manager GUI or CLI. The Avamar Administrator GUI in Figure 3 (left) shows the Server tab, displaying back- end system configurations. The upper right corner of that display shows one Avamar server available for back- end capacity. Figure 3. Add Data Domain System via Avamar Administrator Console The next step was click the Server tab, select Server Management, and select Add Data Domain System (Figure 3, right). On the System tab, the qualified system name (dd4500a) was added, and the DD Boost account name and credentials (which had been created during the dd4500a set up) were added. This authenticated the target system, enabling write permissions for Avamar clients.

7 7 A key setting is the total number of Avamar client backup streams that can be launched at the same time; in this case, 270 streams were enabled. Since Data Domain can serve as a target for multiple backup and archiving tasks simultaneously, it is important to ensure the optimal balance to avoid having one application unintentionally oversubscribe the Data Domain target. Next, SNMP details were added to enable Avamar to collect and display details regarding system health, alerts, and capacity. Once these steps were completed, ESG Lab was able to view the Data Domain target within the Avamar Administrator dashboard (Figure 4, top). In addition, from the Server/Server Management tabs, we could click the dd icon in the toolbar and view the system details of the newly added dd4500a, including hostname, used and available capacity, bytes protected, replication status, stream limit, and the status of encryption, authentication, and monitoring (Figure 4, bottom). Figure 4. Managing Data Domain from Avamar Administrator GUI With the dd4500a target properly configured, the final step was to create an Avamar backup policy for the VMware VMs. For the backup job titled VM_Test, the Options tab was selected. From the drop- down box we selected Linux VMware Image and checked the box to use Change Block Tracking. Next, we clicked the Store Backup on Data Domain system check box, selected dd4500a from the list of available targets, and clicked OK. At this point, the next manual or scheduled backup for the dataset VM_Test would send data directly to the Data Domain target.

8 8 Figure 5. Creating a Backup Policy Why This Matters The flexibility of today s virtualized data centers is a boon to business, but can be a tremendous challenge for IT, and particularly for backup administrators. Many organizations run separate infrastructure silos and backup applications for physical and virtual data sets, or for different enterprise applications. This consumes valuable time, extends backup windows, which can interfere with production activities, and drives up Capex and OpEx. ESG Lab validated the fast and easy integration and policy creation for the combined Avamar/Data Domain solution. In just a few steps and less than five minutes, the Data Domain target was added through the Avamar Administrator console, and a VM backup policy was created. The ease and speed of integration make it an easy choice for administrators who wish to consolidate backups for a wide range of applications, systems, and locations with flexible, full- featured Avamar and Data Domain components.

9 9 Performance and Efficiency Backup and restore performance have a big impact on production operations. The speed of backups often makes the difference between completing the job for all VMs within a backup window, and leaving data unprotected; the ability to restore quickly enables fast resumption of business. The combined Avamar/Data Domain solution executes extremely efficient VM backup, using advanced deduplication to dramatically reduce the amount of data that must be transferred and stored, which in turn dramatically increases backup performance. In addition, the efficient use of host CPU resources during backups is an important factor for virtual environments as it ensures that the data protection processing doesn t interfere with production activities. Avamar and Data Domain Backup Methodology A key differentiator of the Avamar/Data Domain solution is the backup methodology. After an initial full backup, only incremental backups are done by Avamar. Integration with VMware CBT ensures only changed or new data is subsequently backed up, and DD Boost ensures that only unique data is sent from Avamar to Data Domain. Metadata is always stored in a separate file, enabling Avamar to quickly find the data wanted for recovery. The changed data that is backed up is applied to previous backup data to create a recovery point after every incremental. This means that every backup with Avamar takes the time of an incremental, but is actually represented as a full backup, which makes recovery fast and efficient. This forever full capability eliminates the need for IT to run additional full backups on a regular basis and update the catalog, as traditional backup applications do (see Figure 6). These additional full backups take time and effort. Also, the restore process using the traditional method requires rolling back the most recent full backup and subsequent incrementals, a cumbersome process that can cause delay and can be unreliable. Figure 6. Avamar/Data Domain Forever Full versus Traditional Method

10 10 Image- level VM Backup and Restore with Avamar Because Avamar is tightly integrated with VADP, image- level backups leverage proxy VMs to offload backup and dedupe processing from client VMs. vsphere is used to dynamically connect client VMs to the Avamar proxy VM (load balancing across multiple proxies) without transferring data over the network, enabling fast backups of multiple VMs. VMware CBT further speeds backup by sending a list of changed blocks to the Avamar software. Then, leveraging DD Boost, blocks are broken into variable- length segments and deduplicated before being sent to Data Domain. CBT can also be used for fast restore of changed data to an existing VM. Avamar keeps track of the current VM state and the CBT logs; identifies what blocks from the desired recovery point need to be restored; and quickly restores only those blocks. ESG Lab Testing For the performance and efficiency testing, ESG Lab leveraged two VMware vcenter ESX 5.5 servers housed on dual Cisco UCS 240 servers; each UCS server hosted 50 VMs, for a total of 200 VMs. Storage for the servers consisted of two XtremIO bricks with 7.56 TB usable each. Data protection was provided by an Avamar Virtual Edition 7.2 virtual appliance and a Data Domain DD4500 with 86 TB of usable capacity, leveraging 10GbE ports. Test data (various files, about 1 MB each) was generated and modified for backup processing using an internal tool (Data Gen), providing a consistent data set across multiple test iterations. Three test procedures were used: Simulated 28- day backup cycle test using 200 VMs. Simulated restore test using 31 VMs with CBT restore. Simulated backup scale test with 200 VMs. Each VM consisted of approximately 70 GB of data, including the operating system and file data generated to create initial backup data and new/modified data between backups. Metrics were recorded for deduplication, backup/restore runtime performance, and CPU. Each test was conducted in full three times to evaluate consistency of results. Both hands- on testing and auditing of previously run tests were used. First, ESG Lab looked at the capacity efficiency delivered by the Avamar/Data Domain solution, beginning with the simulated 28- day backup cycle test using 200 VMs. For each test run, the Data Gen tool created a simulated file system, including directories and files, of approximately 50 GB per VM. An initial full backup was done; next, the tool was used to generate 4% changed data and.125% new data per client, and an incremental backup was run. This was executed 28 times to simulate a typical four- week backup cycle. Because of the forever full method that Avamar uses, only a single full backup is needed. Three test runs were completed, with a complete reset done between test runs to ensure a clean environment. ESG Lab audited the log files of each test to gather deduplication statistics. All three test runs of the complete 28- day backup test were virtually identical. Data from one test iteration is shown in Figure 7.

11 11 Figure 7. Deduplication During 28- day Backup Testing DeduplicaAon: 28- Day Backup Test TiB Dedupe rate 72.3 x 0 Data Protected Data Stored aker Dedupe/Compression What the numbers mean The amount of VM data protected was TiB. The amount of data stored on Data Domain after compression and deduplication was 5.56 TiB. Capacity reduction for this test was 98.6%, resulting in a 72.3x dedupe rate. Next, ESG Lab reviewed the backup performance for the 28- day backup cycle. As Figure 8 shows, the initial backup of 200 VM clients (70 GB each) took two hours and 56 minutes to complete. After that, each incremental backup with 4% changed data and.125% new data consumed only 7-10 minutes. Figure 8. Backup Performance Minutes day Test Backup: RunAme

12 12 What the numbers mean Runtime for the initial full backup was 176 minutes (2:56:12). Runtime for the 28 incrementals averaged 8.68 minutes. Each recovery point represents a full image of the client, although only incremental data was transferred. The conceptual graphic in Figure 9 demonstrates the capacity efficiency and runtime advantages of the solution. The left side of the figure represents the virtual machines, including the total capacity protected. The CBT and deduplication processing in the solution reduce the amount of data that needs to be transferred and speeds backup time. In this case, an average of 19.8 GiB was transferred per day, resulting in an average daily backup time of 8.68 minutes. Figure 9. Data Reduction and Backup Time Next, ESG Lab reviewed data for a restore test using CBT. After a complete reset of the environment, another 50GB data set was generated for 31 VMs, creating VMs of 70 GB each. After an initial full backup was done, a single data modification cycle was executed. Next, CBT restores were conducted for a single VM, for 10 VMs simultaneously, and for 20 VMs simultaneously. This simulates restore after a corruption or a rollback of application data to a specific point in time for a VM or group of VMs. Figure 10 displays the average restore time for the three test iterations.

13 13 Figure 10. Restore Performance Restore Time as Clients Scale Restore 20 Clients Restore 10 Clients Restore 1 Client Minutes What the numbers mean Only changed data, about 1.5 GB, needed to be restored for each VM. Restore performance for a single client averaged 7 minutes. Restore performance for 10 clients averaged 10.5 minutes. Restore performance for 20 clients averaged 15 minutes. Next, ESG Lab looked at the CPU overhead required for the backup tests. Backup processing with the Avamar/Data Domain solution includes deduplication that is distributed between the client and target. ESG Lab audited the log files for the 28- day backup test to determine the CPU utilization for the Data Domain target and the ESX hosts. The 28- day backup testing process included automated clean up and new data generation between test runs, followed by a full backup, and then a series of incremental backups with new and modified data generated between incrementals. As Figure 11 shows, throughout the duration of the testing, the Data Domain CPU utilization remained below 30%, with a single initial spike to about 90% during the first full backup; smaller spikes occurred during the cleaning and reset that ran between simulated weeks. For the four ESX hosts, CPU utilization remained very low.

14 14 Figure 11. Data Domain and ESX Server CPU Utilization CPU UAlizaAon: 28- day Backup Test Percentage Data Domain ESX 1 ESX 2 ESX 3 ESX 4 0 Time What the numbers mean For the 28- day backup cycle test, Data Domain CPU averaged 23%, spiking to about 90% utilization during the full backup. For the 28- day backup cycle test, for all four ESX hosts, CPU utilization averaged between 6%- 8%, and never exceeded 15%. Finally, ESG Lab looked at the performance of the Avamar/Data Domain solution during scaling of backups. After the initial full backup, modified and new data was added, and 50 VM incrementals were run concurrently. The same process was repeated with 100, 150, and 200 concurrent incrementals. Figure 12 shows the data growth for each set of concurrent incremental backups and the time to complete concurrent incrementals. The dark blue bars show the initial amount of data; the light blue bars show changed data for each set of VMs; and the orange line shows the time required for the backup. It is clear that backup performance was not negatively impacted by data growth.

15 15 Figure 12. Scale Test: Backup Performance as Data Volumes Grow Scale Test: DuraAon of Concurrent Incremental Backups TBs Minutes Inidal Data 200 VMs Incremental 50 Vms Incremental 100 VMs Incremental 150 VMs. Incremental 200 VMs 0 Inidal data New/changed data Minutes What the numbers mean The initial full backup took 184 minutes. The time required for 50 concurrent VM incrementals was 11 minutes; for 100 concurrent, 8 minutes; for 150 concurrent, 8 minutes; and for 200 concurrent, 7 minutes. No additional proxy servers were needed to scale to 200 VMs. While 200 VMs were tested, the global deduplication in this solution would likely result in increasing performance as more VMs are added to the pool.

16 16 Why This Matters The ongoing growth of data volumes challenges IT in many ways, but in particular in the backup domain. Organizations must protect and retain data in case of a corruption or disaster, as well as to address stringent compliance and governance initiatives; storing and keeping this data for the long term drives up costs. Growth is exacerbated by the proliferation of VMs, where backups often store redundant copies of operating systems, applications, and data. ESG Lab validated the ability of the Avamar/Data Domain solution to significantly reduce the amount of backup data with deduplication technologies. The Data Domain variable- length deduplication ensures maximum dedupe rates; this results in minimizing both storage and bandwidth needs for backup, delivering cost and time savings to the business. In addition, this ensures that replication for disaster recovery will benefit from the same reduction in bandwidth needs, adding to the cost and time savings. Testing also validated the speed of 200 VM backups, concurrent backups, and concurrent restores. The ability to use CBT restores ensures fast recovery and minimizes the impact to your data protection stack as your VM environment scales. Finally, ESG Lab validated that backup processing for individual backup streams, concurrent streams, and restore tasks leave plenty of CPU available on the Data Domain target and the ESX hosts.

17 17 ESG Lab Validation Highlights þ ESG Lab was impressed with the ease and speed of integrating Avamar and Data Domain, enabling consolidated management for data protection. þ Data deduplication rates in this testing demonstrated the ability to reduce capacity by more than 73x, enabling organizations to save on both storage and bandwidth. þ ESG Lab was pleased to see efficient CPU utilization for both the Data Domain target and the ESXi hosts during all backup processing, leaving plenty of headroom for other tasks. þ ESG Lab also appreciated that when heavy processing was needed, Data Domain offloaded the bulk of the burden from the host. þ Backup performance testing demonstrated the speed advantage of forever full backups with this capacity- and network- efficient solution. ESG Lab also validated that there was no performance impact during concurrent VM backups, and the fast, efficient restore available when using VMware CBT. Issues to Consider þ Data Domain minimizes storage requirements by leveraging variable- length deduplication, and DD Boost integration minimizes bandwidth by distributing parts of the Data Domain deduplication to Avamar to enable client- side dedupe. This is important for VM backups since they often contain redundant operating system and other data. þ CPU utilization efficiency is important not just for the ESXi hosts that support production applications, but for Data Domain that can serve as a target for other protection activities at the same time. þ CBT restore is an excellent option that provides fast restore in the case of a specific VM data corruption. It should be noted that CBT restore is not effective for a fully destroyed VM, since in that case, all VMDKs making up the VM must be restored. þ Deduplication rates are always dependent on the type of data being backed up; some data types (such as file data) tend to have significant duplicate data, while other data types (such as video and images) tend to have little duplication.

18 18 The Bigger Truth Year after year, ESG research reveals that midmarket and enterprise organizations place improving data protection, managing data growth, and increasing server virtualization among their highest IT priorities. 2 It s easy to see why: The transformation of production operations has an immediate and significant impact on protection mechanisms. VMware s pioneering technology launched a revolution that has resulted in the mainstreaming of virtualization, and the proliferation of VMs within organizations across the world; protecting all that data remains challenging. Avamar and Data Domain are both highly evolved data protection solutions, and in combination they become even more powerful. Data Domain was a pioneer in the deduplication field, but equally important at this point are its scalability and flexibility critical for VMware data protection, as organizations quickly spin up new VMs and find themselves with hundreds and even thousands to protect. Data Domain offers unmatched flexibility, simultaneously providing a target for: multiple different backup applications; direct backups from enterprise applications like Oracle RMAN, SQL, SAP, and DB2; direct backups from primary storage such as VMAX3 and XtremIO; backup of mainframe and IBM i systems; and archiving solutions such as SourceOne. Also, while IT can keep track of all protection activities (for example, using EMC Data Protection Advisor), other administrators can handle their own backups (for example, DBAs can run RMAN, and virtualization administrators can run VM backups). This spreads out the work of managing multiple data protection activities without having to buy and manage separate infrastructure stacks. Data Domain is also known for its built- in reliability it has been called a paranoid system due to the data verification, continuous fault detection, and self- healing features of the Data Invulnerability Architecture. All these characteristics make it a rock- solid solution for small and large enterprises as well as service providers. Avamar provides application- and VM- consistent backups with fast, granular recovery. It leverages VADP for VMware backups and is integrated with vsphere. Like Data Domain, Avamar delivers the scalability that virtual server environments demand, using proxy VMs that are automatically load balanced. The ability to leverage CBT for backup and restore speeds performance for both tasks and reduces data movement across the network. Also, while not tested in this project, Avamar provides instant VM access to images stored on Data Domain, providing the agility and rapid recoverability that organizations need today to maintain production operations. ESG Lab validated the combination of using Avamar and Data Domain in a real world scenario to test how it would perform in a customer environment. This included the ease of integrating Avamar with Data Domain, essential in the modern IT landscape. Our testing with 200 VMs validated the capacity efficiency of the dual deduplication mechanisms, the performance advantages of incremental backups, the ability to handle hundreds of VM backups concurrently while maintaining fast performance, and the ability to leverage CBT restores for fast recovery. Many organizations today are turning to integrated backup appliances for two key reasons: ease of deployment, and reduction in CapEx and OpEx. While not technically an integrated appliance solution, the combination of Data Domain and Avamar delivers higher deduplication rates than traditional integrated backup appliances, as well as the scalability, flexibility, and agility necessary to protect an entire environment without compromise. It s a powerful combination that can help organizations simplify and consolidate data protection while reducing costs. 2 Source: ESG Research Report, 2015 IT Spending Intentions Survey, February 2015.

19 19 Appendix Table 1. ESG Lab Test Bed Backup Software Avamar Virtual Edition x vcpu 6 x vram 900 GB Disk Space Virtualization VMware vcenter Storage Disk Target Data Domain DD4500 DD OS x ES30-30 Disk Shelves 4 x 10 GbE Interfaces (2 used in testing) Servers 4 x Cisco UCS 240 OS: SLES 12.3 Network 2 x EMC XtremIO, 7.56 TB usable each 10GbE How Measurements Were Obtained in Testing All testing was done to mirror a real- world scenario: daily backups with a realistic change rate for a month. Deduplication: Deduplication measurements were pulled directly from the Data Domain using the filesys show compression in the scripts controlling the backup jobs. The data was gathered immediately after each backup job was completed and written to a log file. Backup/Restore Performance: The common Unix/Linux time utility was used to determine how long backup and restore jobs ran. All backup and restore jobs ran from scripts using the Avamar mccli command line interface with the time utility used to output the total runtime of all jobs from start to finish. These results were written to a log file during the testing. CPU: CPU and other system resource information for various components in the test environment were gathered using EMC Data Protection Advisor. DPA was also utilized as a second method to verify deduplication and runtime results.

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