Social Security Administration Data Center Optimization ... · Social Security Administration . Data Center Optimization Initiative . Strategic Plan (FY2016 – FY2020) Revision 3

Social Security Administration Data Center Optimization Initiative

Strategic Plan

(FY2016 – FY2020)

Revision 3 - April 12, 2019

SSA DCOI Strategic Plan

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DOCUMENT CHANGE HISTORY

Revision Date Revision/Change Description Pages Affected

2.0 11/8/2017 Updated Quarterly Updates: Optimization Metrics Appendix B

2.0 11/8/2017 Updated Quarterly Updates: Achievements and Challenges

Appendix A

2.0 11/8/2017 Updated Section 5: Data Center Cost Savings Page 12

2.0 4/2/2018 Updated Quarterly Updates: Achievements and Challenges

Appendix A

2.0 4/2/2018 Updated Quarterly Updates: Optmization Metrics (added table for 2018 metrics)

Appendix B

2.0 4/2/2018 Updated DCIM Tool Implementation Milestones Appendix C

2.0 4/18/2018 Added cost savings cart in Appendix D and redesigned Appendix A – and – updated SSC PUE items f and g and added DCIM Tool to Section 3.3

Appendix A &D, page 5 & 7

2.0 4/27/2018 Added last paragraph Section 2 and new number one goal under Section 3.1, Shadow IT.

Page 5

2.0 4/30/2018 Section 3.1, edited Goal 6, Shared Services. Page 6

2.0 4/30/2018 Entered challenge for Increasing chilled water loop supply temperature (NSC)

Appendix A

2.0 4/30/2018 Several editorial changes. Page 10 Beginning of second paragraph, Page 11 Virtualization paragraph, Page 12, first bullet, Page 13 Section 5, first sentence.

Page 10, 11, 12, ansd 13

3.0 4/12/2019 Section 2 Pages 4-6

3.0 4/12/2019 Section 3 Pages 6 - 10

3.0 4/12/2019 Section 4 Page 11

3.0 4/12/2019 Appendix A and D


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Table of Contents

1 Purpose ................................................................................................................................................................. 4 2 Background ........................................................................................................................................................... 4 3 Data Center Goals, Achievements, and Challenges .............................................................................................. 6

3.1 Goals............................................................................................................................................................. 7 3.2 Achievements ............................................................................................................................................... 9

3.2.1 Data Center Closures ............................................................................................................................... 9 3.2.2 Agency Cloud Initiative (ACI) ........................................................................................................................ 9 3.2.3 Electronic Vault (E-Vault) ............................................................................................................................ 9

3.3 Challenges .................................................................................................................................................. 10 4 Data Center Optimization Metrics ...................................................................................................................... 12 5 Data Center Cost Savings .................................................................................................................................... 13

Appendix A – Quarterly Updates: Achievements and Challenges ........................................................................... 14 Appendix B - Quarterly Updates: Optimization Metrics – FY16, FY17 & FY18 ....................................................... 16 Appendix C - Table 3 DCIM Tool Implementation Milestones ................................................................................ 18 Appendix D - Table 4 Quarterly Updates: Cost Savings ........................................................................................... 19


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1 Purpose

Under the Data Center Optimization Initiative (DCOI), released August 1, 2016, Social Security Administration (SSA) has developed a DCOI Strategic Plan that will report on data center strategies, goals, and challenges in meeting all requirements outlined in the Memorandum for Heads of Executive Departments and Agencies (M-16-19).

2 Background

The Social Security Administration has constructed the enterprise-class data center fabric depicted in Figure 1 below over the last decade. The data center fabric consists of:

• the Second Support Center (SSC) in Durham, North Carolina. • the National Support Center (NSC) in Urbana, Maryland. • the Electronic Vault (E-Vault) in Denver, Colorado (online in 2019). • four Service Delivery Points (SDPs). These are geographically located in the NSC,

SSC, Kansas City, MO, and Richmond, CA. • presence on Amazon Web Services (AWS) public cloud. • presence on Microsoft’s AZURE public cloud. • presence on Microsoft’s Office 365 (O365) public cloud (deploying in 2019).

The fabric infrastructure processes casework for the millions of citizens and beneficiaries in the United States. It is designed to provide high-availability, performance, and business resilience.

Figure 1 - SSA Enterprise Data Center Fabric


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SSA was well down the road of modernizing its Iinformation Technology (IT) Infrastructure when DCOI was published in 2016. However, SSA has embraced the “Data Center Optimization Management” aspects of DCOI as it provides an essential foundation for managing a modern, at-scale, data center fabric. Figure 2 below summarizes the data centers SSA has in place in 2019.

The National Support Center (NSC) in Urbana, MD, opened for business in September 2014. SSA received ARRA funds to build and migrate the IT infrastructure and operations in the National Computer Center (NCC) to the new data center. The NSC is a LEED Gold and Uptime Tier 3 certified data center. The NSC also is a featured Federal Flagship

Figure 2 - SSA Enterprise Data Centers

Data Center in the DOE/CEQ Better Buildings Challenge and received the coveted GSA Honor Award in Engineering in 2016.

The NSC is a leader in the data center arena for its design, processing ability and energy efficiencies. It makes use of free-cooling ~200 days a year as well as being a co-generator of power through a 1.2-megawatt photovoltaic solar array. This clean renewable power is directly fed into the data center and on sunny days produces the majority of energy consumed.


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Throughout the NSC, there are other energy and cost avoiding features like passive solar water heating, instant-on LED lighting and other heat recovery mechanisms. What we have learned in the NSC will aid us in making the SSC more energy efficient.

The SSC became operational in 2009, greatly enhancing SSA’s data processing and disaster recovery posture. The SSC is a Tier 2 traditional data center that utilizes a hot-aisle/cold- aisle configuration. It is currently being enhanced with cold-air containment and wireless thermal monitoring, management, and control mechanisms to improve the Power Usage Effectiveness (PUE) of the site.

The Electronic Vault is described in 3.2.3 Electronic Vault (E-Vault).

GSA owns the NSC and E-Vault. The SSC is a leased facility. Hence, we must make efficiency changes in accordance with the lease agreement.

What we learn and do in one data center we try to take advantage of in the others. The NSC utilizes a high-density hot-aisle containment solution as well as liquid cooling. The E-Vault uses hot-aisle containment and indirect evaporative cooling. We expect to realize further energy efficiencies as we enhance the SSC through cold-aisle-containment. The SSC could also take advantage of liquid cooling of the mainframes.

The SSA is continuing to economize and evolve their data center optimization management through internal teamwork, participation in the DOE/CEQ Better Buildings Challenge as well as being a leading member in the DCOI Community of Practice. SSA already works closely with the DCOI PMO and currently has open dialogue and information exchange with other Federal and private organizations that will serve to enhance data center operations.

SSA partnered with other DCOI agencies and OMB to review the definition of data centers and data center fabric, share deployment knowledge, work to build best practices, and define optimization metrics that will better indicate energy metering, power efficiency, automated infrastructure management, and operations measurement. In addition SSA has also initiated an expanded scope effort to review all information technology systems and solutions located outside of the agency’s enterprise data centers. This collaboration resulted in OMB issuing a change to the quarterly Integrated Data Collection (IDC) guidelines for metrics, data center definition and reclassification of data center types.

3 Data Center Goals, Achievements, and Challenges The following are SSA’s high-level goals, achievements and challenges in meeting OMB’s DCOI mandates as well as achieve the agency’s commitment to enhancing our business resilience, Modernizing IT, and exploiting Cloud Computing capabilities. Appendix A Quarterly Updates: Achievements and Challenges provides a log of activities and results over the life of this strategic plan.


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3.1 Goals

1. Operations Resident IT Assessment: SSA is conducting a cyber-risk and compute rationalization study of all information technology systems and solutions in locations outside of the agency’s enterprise data centers. The goal is to identify risks that would potentially disrupt mission-critical operations or damage information technology systems and infrastructure, and assess the efficiency and effectiveness of those operations, whether current IT infrastructure is sufficiently aligned, and look for better ways to reduce cost of maintaining those foundational systems.

2. Data Center Optimization Management Metrics: SSA conducted extensive research on data center efficiency and optimization metrics, and collaborated with the Department of Energy’s (DOE) National Renewable Energy Lab (NREL) to define a standards-based set of metrics based upon best practices in-use in by the data center community. This new set of metrics addresses:

• energy efficiency, • cooling efficiency, • thermal/air handling, • white space utilization, • green efficiency, • asset management, • automation, • security & recoverability, • financial management, and • business key performance indicators.

The SSA optimization metrics are a superset of the metrics required by DCOI. SSA will continue to enhance our metric definitions and telemetry capture mechanisms as we refine our Data Center Optimization Management system. For example, SSA is deploying Green Grid’s Level 3 energy metering standard to precisely monitor and manage power usage at the IT equipment.

3. Data Center Business Plan: SSA has spent a decade building its data center fabric. The fabric is intended to have a 25 year life. To exploit this investment, to construct a data center optimization management system, and to support our activities in IT Modernization, Cloud Smart, and business resilience, SSA has created a Business Plan for its Data Centers. This plan looks at our entire IT ecosystem holistically and strategically. It is a living plan used to assess needs, develop project justification, provide financial rigor, create partnerships, and launch initiatives to


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continually improve and enhance the infrastructure. As of 2019 the plan is on Sprint 10 and has 54 strategic initiatives defined or underway.

4. Data Center Tier Certification: SSA feels our enterprise data center fabric should be a certified Tier 3. The IT and Facilities teams at SSA are quantitatively looking at all aspects or our data centers. The E-Vault is about to go online and we are working to have it certified formally as a Tier 3 site similar to the NSC. At the SSC we are going to do an external certification gap analysis to ascertain what would need to be done to make the SSC a Tier 3 site. These detailed engineering findings can be used for us to make a downstream business decision about the SSC which is a leased facility.

5. Virtualization SSA will continue to virtualize and consolidate as much as practicable. Our goal is to have failover capability within the data center, disaster recovery capability for both data centers and load balancing between data centers. With our “Virtual 1st” policy, constant consolidation review and our assessment of being a shared service provider we feel our strategy is in line with the overall Federal objective.

6. Shared Service Provider: SSA is currently assessing the best approach to a managed shared services model. These services will be delivered through shared platforms such as cloud-based, or other ‘shared’ platforms, internal and external host networks and systems, and internal and external governance. SSA is also working to engineer a framework of processes and controls that will support all elements of the model for strategy, design, validation, transition, and management.

7. DCIM Tool Implementation: SSA has procured and is currently implementing a DCIM Tool, Nlyte/Neo with a DCOI Dashboard. The tool has been installed on the DEV environment at the NSC and SSC and SSA is currently working on Hewlett Packard Asset Manager (HPAM) and Service Manager (HPSM) connections into the tool with the goal to allow for real-time dynamic updating of data. All milestones for this implementation will be updated in Appendix C, Table 3 DCIM Tool Implementation Milestones.

8. Application/System Rationalization: SSA recognizes that we require enhanced practices to determine the optimal infrastructure on which to run a digital service. There are multiple dimensions to this decision making: architectural, technological, business resilience, financial, security, flexibility, application design, operational characteristics, networking latency/bandwidth, and customer requirements. We now have multiple ecosystems: open systems, mainframe, private cloud, and multiple public clouds all of which must interoperate in a hybrid manner. In concert with our ongoing IT Modernization, Cloud Smart, and Data Center Optimization Management initiatives, SSA intends to study and assess the best approaches/techniques to house and operate a digital service.


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3.2 Achievements

3.2.1 Data Center Closures

SSA had one data center slated to close, the National Computer Center (NCC) in Woodlawn, MD. As of August 23, 2016, the migration to the NSC completed and the NCC is no longer a data center. The physical building has been repurposed and renamed to the Perimeter East Building (PEB).

3.2.2 Agency Cloud Initiative (ACI) As part of SSA’s infrastructure modernization, SSA is adding the adoption of cloud technologies. The agency is executing a hybrid cloud strategy comprising both an on-premise cloud as well as public cloud services for application systems. Our infrastructure now extends, with an Authority to Operate (ATO), in Amazon Web Services (AWS) and in the process of implementing Microsoft Azure Government Cloud Services / Office365 and an on-premise cloud scheduled for production later this year. The agency is also examining potential Cloud Management Platform (CMP) solutions as a complement to enabling automation across the infrastructure. The agency enterprise architecture and associated review process for investments is also promoting a Cloud Smart approach in the selection of platforms for our application systems; ensuring that software applications benefit from modern technologies either as new software systems or planned migrations or upgrades of current business application systems to benefit from cloud computing features such as elasticity and application level availability. Many of our modern enterprise application systems will need to interface with legacy applications and data. The modernization initiatives are also examining capacity needs as well as performance requirements to mitigate risks associated with latency which may result from connecting to a public (off-premise) cloud. We are designing our future applications and data to take advantage of the flexibility that is available See Appendix A for ACI goals and milestones.

3.2.3 Electronic Vault (E-Vault) Modern data center fabrics make extensive use of data networking between data centers to provide business resilience and high-availability. Like AWS, AZURE, GCP, and others SSA’s two East Coast data centers are a few states apart (approximately 300+ miles). This proximity provides the low latency (speed of light through fibre optic cabling) needed for business resilience and active-active, active-passive connectivity. SSA’s data center fabric design is consistent with other major IT practitioners.


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However, SSA has needed an out-of-region site to isolate its data from a man-made or natural disaster. The E-Vault provides that capability for SSA. Situated 1,600 miles from SSA’s Eastern Region Data centers, the E-Vault t provides a geo-dispersed, protected copy of the agency data, arguably one of its critical resources. Once this is in place in 2019 and we have demonstrated recoverability using this remote data, SSA has a complete set of additional E-Vault projects in its Data Center Business Plan:

• Evaluate the potential to place one of the SDP sites into the Tier-3 E-Vault. • Evaluate the creation of an isolated (off-network) copy of the agency data to

provide protections against RansomWare or EMP attacks. • Providing additional business resilience protections given we will have an out-of-

region data copy. • Evaluate the use of geo-dispersed object (cloud) storage for the growing volume

of unstructured data.

3.3 Challenges

1. Power Usage Effectiveness Metric: For the SSC, within the boundaries of the lease agreement, we will try to improve this number by ~.05 each year for 5 years. We will do this by a combination of energy and HVAC conservation, including raising the temperature of the whitespace and with the possible use of cold-aisle containment. Since SSA is evaluating being a shared services provider, the adding of equipment to create a higher density inner core naturally lends itself to an improvement of PUE. The NSC is a large data center with capacity for SSA for the next 25 years. As such, the current IT load is low making PUE a challenge. PUE is an aggregate of both data centers. Since the SSC is leased and because of its limitations, PUE will be a challenge.

2. Data Center Infrastructure Management (DCIM) Tool Implementation: One challenge SSA has encountered transitioning the DCOI Metrics to the DCIM Tool is evaluating the formula inside the tool and comparing it to the OMB formulas. It has not been intuitively obvious they are an exact match and given that, SSA has to analyze the data and deltas carefully. Several discrepancies submitted by SSA have been/will be corrected by the DCIM vendor (a few examples below):

• DCIM Tool Nlyte EE Dashboard does not match metric values calculated in NEO (PUE)


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• Duplicate rooms are being returned in Nlyte EE; problem stemmed from editing a room in NEO – this created a duplicate room in Nlyte EE – and was used in the metric calculation

• Rooms identified which have no active asset being metered, but yet the room is considered metered

• Several issues with the Asset Sync Framework (ASF) in DCIM Tool – HPAM Connector

Other challenges have been: • Reconciling SSA inventory that feeds Server Utilization & Virtualization

Metrics. • Integrating the DCIM tool with HPAM and HPSM has been slow due to

connector issues between the DCIM tool and HPAM/HPSM. • Preparing DCIM Tool for Disaster Recovery has been slow due to DR

documentation availability.

SSA is reviewing other tools that will support changes made to the DCOI metric structure and additional DCIM metrics mentioned in Section 3.1, item 2, in addition to the relationships/interfaces between tools and the telemetry feeds.


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4 Data Center Optimization Metrics Table 1 metrics are listed in order of priority as outlined in the Data Center Optimization Initiative (DCOI) Memorandum dated August 1, 2016. New guidelines to the metrics was issued by OMB. The changes reflected in Figure 3 represents new metrics that were introduced. The highlighted elements in Table 1 also represent changes.

Figure 3 Original and New DCOI Metrics


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5 Data Center Cost Savings Starting in FY17 SSA established a monthly baseline of the NSC energy savings portfolio using projections set forth in the NSC Program of Requirements (POR) as the cost savings target.

These monthly averages will establish the baseline moving forward in years 2 through 5. SSA has set an aggregated goal to save, through energy efficiencies, approximately $500K the first year and showing a 15% ($75K) cost savings overall, in years 2 through 5.

First year baseline will measure NSC against POR projected savings. Years 2-5 will measure against established NSC baseline.

SSA conducted a preliminary energy-cost (KWh) study comparing energy consumption and costs between the legacy data center (NCC Inner Core) and the NSC beginning in September 2016 and concluding in April 2017.

1. SSA established a baseline for the NCC (inner core) averaging kWh usage (electric bills) using KWh data from FY12 through August FY14 (prior to migration) This baseline used a ‘full IT load’ at the NCC – IT Load BEFORE migration to the NSC started.

2. SSA conducted a study comparing NCC (inner core) baseline against NSC Kwh Numbers and found the following cost savings: From September 2016 to April 2017 realized a cost savings of $696,011.40 for the NSC.

3. SSA established a baseline for the NSC for FY17 (Sep 2016 through Sep 2017) baseline was established via month-by-month KWh comparison to NCC and the power consumption at the NSC, this realized a cost savings to the NSC of $1,208,695. This NSC baseline will be used to determine cost savings in years 2-5.

• SSA has exceeded that first year goal – and, has already realized year 2 cost The result showed a cost savings of $696,011.40 for the NSC.

Refer to Appendix D – Table 4 Quarterly Updates: Cost Savings for updates.

Appendix A – Quarterly Updates: Achievements and Challenges

FY17/FY18 /FY19 Goals

Completed (Yes/No/ Ongoing)

Achievements Challenges

Assign certified Data Center Energy Practitioners to manage core data centers.

Yes (FY17) SSA has two certified DCEPs, one assigned to their National Support Center (NSC) data center in Urbana, MD and one at their Second Support Center (SSC) data center in Durham, NC.

Engineer and implement data center solutions to improve PUE.

Yes (FY17) Inner Core Hot Isle Containment solution (NSC) completed.

Yes (FY17) Made adjustment to the second chiller and pump to engage simultaneously to supplement chilled water supply (SSC)

Yes (FY17) Made adjustments to the floor tiles affecting air distribution (SSC)

Ongoing (started FY18)

Installation of Smart PDUs - SSC


Addressing a ‘cold isle containment’ retrofit solution at SSC. Using new grated floor tiles and conducting a study on static floor pressure before proceeding.

Virtualization Ongoing SSA continues to engineer and implement virtualization, not only from a server perspective but storage and network as well. (DCOI Metric only focuses on servers)

A challenge when increasing the virtualized environment is any reduction in IT load without an equivalent reduction in infrastructure load will actually result in a higher PUE.

Cloud Investment - Agency Cloud Initiative (ACI)

Ongoing

As part of SSA’s infrastructure modernization, SSA is adding the adoption of cloud technologies. The agency is executing a hybrid cloud strategy comprised of on-premise and public cloud services for application systems.

Providing secure access to public and on-prem cloud services.

ACI Infrastructure Available (Q4 2017) On-Prem IaaS and PaaS production capability ready (IaaS Q4 2018; PaaS Q2 2019)

Cloud Management Platform (CMP) operational (Q3 2020) Enable AWS services in multiple regions (Q4 2019)


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FY17/FY18 /FY19 Goals

Completed (Yes/No/ Ongoing)

Achievements Challenges

Automated Infrastructure Management


SSA procured and has installed in their development environment a Data Center Infrastructure Management (DCIM) Tool – NLYTE.

One challenge SSA has encountered transitioning the DCOI Metrics to the DCIM Tool is evaluating the formula inside the tool and comparing it to the OMB formulas. It has not been intuitively obvious they are an exact match and given that, SSA has to analyze the data and deltas carefully. Several discrepancies submitted by SSA have been/ will be corrected by vendor Reconciling SSA inventory that feeds Server Utilization & Virtualization Metrics. Integrating the DCIM tool with HPAM and HPSM has been slow due to connector issues between the DCIM tool and HPAM/HPSM Preparing DCIM Tool for Disaster Recovery has been slow due to DR documentation availability.


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Appendix B - Quarterly Updates: Optimization Metrics – FY16, FY17 & FY18

Requirements & Metrics

FY16 FY17 Target

Met/ Not Met Q1 Feb Q2 May Q3 Aug Q4 Nov Q1 Feb Q2 May Q3 Aug Q4 Nov

Data Center Closures 1 Met

Facility Utilization 80% ≥ 80% Met

Energy Metering 100% 100% Met

Server Utilization & Automated Monitoring

100% ≥ 65% Met

Power Usage Effectiveness (PUE)

(NSC/SSC)

NSC 1.34 SSC 1.87

NSC 1.71 SSC 1.48

NSC 1.48 SSC 1.6

NSC 1.5 SSC 1.54

NSC 1.5 SSC 1.4

NSC 1.5 SSC 1.6

NSC 1.6 SSC 1.6

NSC 1.5 SSC 1.5

≤ 1.5

≤ 1.4 for

new data centers

NSC Not Met (1.4)

Virtualization (NSC/SSC)

NSC 3.7 SSC 2.0

NSC 3.7 SSC 2.3

NSC 3.6 SSC 2.3

NSC 3.9 SSC 2.5

NSC 4.0 SSC 2.6

NSC 3.7 SSC 2.4

NSC 4.4 SSC 2.6

NSC 4.2 SSC 2.8

≥ 4

NSC: Met

SSC: Not Met


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Requirements & Metrics

FY18 Target Met/ Not Met

Q1 Feb Q2 May Q3 Aug Q4 Nov

Data Center Closures 1 Met (2016)

Facility Utilization ≥ 80% Met

Energy Metering 100% Met

Server Utilization & Automated Monitoring

≥ 65% Met

Power Usage Effectiveness (PUE) (NSC/SSC)

1.5 (NSC) 1.5 (SSC)

1.5 (NSC) 1.4 (SSC)

1.5 (NSC) 1.5 (SSC)

1.5 (NSC) 1.4 (SSC)

≤ 1.5

≤ 1.4 for new

data centers

NSC Not Met (1.4)

Virtualization (NSC/SSC) 4.3 (NSC) 2.6 (SSC)

4.5 (NSC) 2.8 (SSC)

4.3 (NSC) 2.8 (SSC)

3.4 (NSC) 2.6 (SSC)

≥ 4

NSC: Met

SSC: Not Met


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Appendix C - Table 3 DCIM Tool Implementation Milestones

SSA DCOI Strategic

Plan Section

Qtr / FY

Milestone

3.1 / 6 Q2/2017 The tool has been installed in DEV environment at NSC and SSC and all standard and advanced training has been conducted. The tool is using the calculations as defined in M-16-19 to produce the DCOI optimization metrics.

3.1 / 6 Q2/2017 Training DB has been replaced with SSA’s real-time inventory and floor plans. Testing is underway to validate.

3.1 / 6 Q2 /2018 SSA has achieved the following connections to NLYTE: HPAM

3.1 / 6 Q2 /2018 SSA has validated flat-file data for LINUX and Windows Virtual servers in NLYTE. This flat-file is sent to NLYTE via SSA’s HPAM.


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Appendix D - Table 4 Quarterly Updates: Cost Savings

All cost savings are what the Agency projected for the energy savings anticipated via raising the inner core temperature and containment changes, and, from the energy-efficient engineering capabilities of the new data center. The following table, Figure 4, is the established a baseline for the NSC for FY17 (Sep 2016 through Sep 2017). Baseline was established via month-by-month KWh comparison to NCC and the power consumption at the NSC, this realized a cost savings to the NSC of $1,208,695. This NSC baseline will be used to determine cost savings in years 2-5. Figure 5 and 6 reflect NSC energy cost savings for 2018 and partial 2019.

Figure 4 Established Baseline for NSC from 2016 - 2017 KWh Comparison between NCC and NSC

67,328.78

106,463.42 103,051.88

83,398.76

69,661.67

103,140.0693,327.90

85,800.08

104,661.39

119,675.32

94,974.65 96,596.15

80,621.59

0.00

20,000.00

40,000.00

60,000.00

80,000.00

100,000.00

120,000.00

140,000.00

NSC Power Savings Compared to NCC 2016 - 2017

NSC Power Savings


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Figure 5 2018 NSC Cost Savings

10,040.529,278.71

14,010.81

16,749.6915,228.88

11,332.43

8,774.06

5,408.28

3,363.99 3,340.13

6,497.64

4,564.85

0.00

2,000.00

4,000.00

6,000.00

8,000.00

10,000.00

12,000.00

14,000.00

16,000.00

18,000.00

2018

Janu

ary

2018

Feb

ruar

y

2018

Mar

ch

2018

Apr

il

2018

May

2018

June

2018

July

2018

Aug

2018

Sep

2018

Oct

2018

Nov

2018

Dec

2018 NSC Power Savings

NSC Power Savings


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4,373.10 4,510.95

5,247.81

0.00

1,000.00

2,000.00

3,000.00

4,000.00

5,000.00

6,000.00

2019

Janu

ary

2019

Feb

ruar

y

2019

Mar

ch

2019 NSC Power Savings

NSC Power Savings

Documents

Social Security Administration Data Center Optimization ... · Social Security Administration . Data Center Optimization Initiative . Strategic Plan (FY2016 – FY2020) Revision 3