A Forrester Total Economic Impact™ Study Commissioned By F5, July 2024
As the networking market faces the most radical changes since the dawn of the ethernet, today’s competitive enterprises increasingly leverage their network infrastructure design to drive business outcomes. Forrester’s research indicates that modern networking capabilities, including cloud, IOT and virtualization, make right now one of the most exciting times ever to be in cloud networking. Getting cloud networking strategies right early on can well position organizations for these seismic networking changes to come.1
F5 Distributed Cloud Services simplify multicloud networking and application security across distributed environments by offering an integrated service stack that securely connects networks and application workloads. The cloud-native platform offers application and API security services, networking, and other services designed to improve application performance and security across hybrid and multicloud environments.
F5 commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study that examines the potential return on investment (ROI) enterprises may realize by deploying Distributed Cloud Services.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Distributed Cloud Services on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four representatives with experience using Distributed Cloud Services. For the purposes of this study, Forrester aggregated the interviewees’ experiences and combined the results into a single composite organization: a retail organization with a complex operational footprint and increasingly large transaction volumes and network traffic across North and South America seeking the ability to connect and pivot with ease among hyperscale cloud providers.
Interviewees said that prior to using Distributed Cloud Services, their organizations’ legacy applications required multiple cloud environments. With workloads scattered across distributed environments, interviewees complained of a lack of visibility that contributed to excessive troubleshooting and remediation times, injecting additional risk into their organizations. A growing threat landscape marked by malware, bot attacks, and credential stuffing made network traffic difficult to manage, and duplicative security policies across cloud environments were nearly impossible to enforce.
Following their investment in Distributed Cloud Services, the interviewees pointed to how their organizations transformed the digital delivery of their core application and network services across a unified cloud environment. This allowed their organizations to optimize cloud and networking spend, ensure high availability for critical apps, improve productivity, and better position software development lifecycle (SDLC) teams to quickly and securely deliver high-quality software to their customers.
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
The representative interviews and financial analysis found that a composite organization experiences benefits of $2.30M over three years versus costs of $1.04M, adding up to a net present value (NPV) of $1.26M and an ROI of 121%.
Return on investment (ROI)
Benefits PV
Net present value (NPV)
Payback
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment Distributed Cloud Services.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Distributed Cloud Services can have on an organization.
Interviewed F5 stakeholders and Forrester analysts to gather data relative to Distributed Cloud Services.
Interviewed four representatives at organizations using Distributed Cloud Services to obtain data about costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewees’ organizations.
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Readers should be aware of the following:
This study is commissioned by F5 and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Distributed Cloud Services.
F5 reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
F5 provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
| Role | Industry | Region | Public Apps3 |
|---|---|---|---|
| Head of infrastructure | Government | Europe HQ, international operations | 20 |
| Technology manager | Education | Latin America HQ and operations | 7 |
| IT infrastructure manager | Retail | Latin America HQ and operations | 10 |
| Network operations manager | Financial services | North America HQ and operations | 7 |
Before migrating to Distributed Cloud Services, interviewees discussed how managing their organizations’ legacy environments incurred significant costs. Interviewees noted the challenge of maintaining these environments, even though the infrastructure failed to meet business needs like increasing organizational competitiveness, delivering new engagement models, and securing their organization’s data integrity and production environments. The interviewees noted how their organizations struggled with common challenges, including:
The interviewees’ organizations searched for a solution that could:
The interviewees’ organizations selected F5 as their multicloud solution because it could:
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the four interviewees, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
Description of composite. The composite is a retail organization headquartered in North America with a complex operational footprint that also extends to Latin America. From its $1 billion in revenues, it dedicates 2% of annual revenue to IT. Of this, 41% of its IT spend is dedicated to infrastructure, with 20% of that budget carved out for networking solutions.
In the prior environment, the composite faced increasing complexity with legacy environments. Applications and workloads scattered across multiple clouds and distributed environments limited visibility and scalability. Inadequate visibility into their environment caused significant labor inefficiencies while prolonging troubleshooting and remediation times.
The composite organization experienced increasing transactional volumes and network traffic that exceeded its legacy architecture’s ability to support. A large part of this traffic came from malicious actors deploying bots for nefarious purposes, such as infecting the SDLC environment with malware and attacking private corporate apps and financial services with bot-driven credential stuffing attacks on a cyclical basis.
This caused frequent and increasing amounts of FTE time across NetOps and SecOps teams to manually manage responses to these incidents across their infrastructure, causing unwanted downtime and labor inefficiencies. Furthermore, apps deployed across the multicloud environment were protected by inconsistent security policies depending on which cloud they were using, driving up the complexity of their environments and making it increasingly difficult to defend against evolving threats.
The organization is expanding, both organically and via mergers and acquisitions, and has established digital transformation and business objectives to provide a more seamless experience for its customers. As part of this goal, it seeks the ability to connect and pivot with ease among hyperscale cloud providers. To meet these objectives, it must redouble its efforts to develop software that improves agility and availability of critical services, as well as scale and improve digital customer experiences.
Deployment characteristics. In the prior environment, the composite had 10 public-facing and private internal apps that were targeted for support on the Distributed Cloud Services platform, with workloads distributed as follows:
Throughout the three-year investment, the composite organization supports most of its digital infrastructure with Distributed Cloud Services in a phased approach. Public and private apps are either serviced locally by deploying lightweight software extensions on-premises or in the cloud depending on business and security requirements. At the same time, the composite organization increases its transactional bandwidth consumption year over year in line with its anticipated transactional volume growth.
The composite organization phases its deployment across three years as follows:
| Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|
| Atr | Cloud infrastructure optimization | $55,350 | $166,050 | $420,660 | $642,060 | $503,598 |
| Btr | Improved availability | $38,500 | $300,900 | $657,900 | $997,300 | $777,968 |
| Ctr | Security operations productivity improvement | $48,735 | $157,901 | $370,386 | $577,022 | $453,078 |
| Dtr | Networking operations productivity improvement | $32,490 | $105,268 | $246,924 | $384,682 | $302,052 |
| Etr | SDLC security optimization | $0 | $0 | $348,000 | $348,000 | $261,458 |
| Total benefits (risk-adjusted) | $175,075 | $730,119 | $2,043,870 | $2,949,064 | $2,298,154 | |
Evidence and data. Interviewees discussed how their organizations transformed their infrastructure environments with F5. This optimization of the environment manifested in many ways, with all interviewees reporting notable cost savings and benefits like:
Modeling and assumptions. For the composite organization, Forrester assumes:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this benefit:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $504,000.
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Networking annual spend in the prior environment (rounded) | Composite | $1,640,000 | $1,640,000 | $1,640,000 | |
| A2 | Percentage of environment delivered by F5 Distributed Cloud Services | Composite | 25% | 45% | 95% | |
| A3 | Percentage of networking spend optimized with F5 | Interviews | 15% | 25% | 30% | |
| At | Cloud infrastructure optimization | A1*A2*A3 | $61,500 | $184,500 | $467,400 | |
| Risk adjustment | ↓10% | |||||
| Atr | Cloud infrastructure optimization (risk-adjusted) | $55,350 | $166,050 | $420,660 | ||
| Three-year total: $642,060 | Three-year present value: $503,598 | |||||
Evidence and data. With a simplified distributed cloud environment, the interviewees shared how their organizations eliminated several points of failure and improved latency and overall speed, leading to measurable improvements to the availability of critical, consumer-facing apps as well as apps the workers relied on for their day-to-day responsibilities. (Labor savings related to remediating downtime incidents are described in Benefit C, Security Operations Productivity Improvement).
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Avoided lost revenue with improved availability with Distributed Cloud Services:
Avoided end-user downtime with improved availability in Distributed Cloud Services:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this benefit:
Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $778,000.
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Cumulative percentage of critical apps delivered by F5 Distributed Cloud Services | A2 | 25% | 45% | 95% | |
| B2 | Cumulative incremental improvement in availability of critical apps | Interviews | 0.50% | 1.50% | 1.55% | |
| B3 | Avoided unplanned downtime of critical apps (hours) | (B1*B2)*8,765 | 11 | 59 | 129 | |
| B4 | Likelihood that unplanned downtime of critical apps impacted revenue in the prior environment | Composite | 0.01% | 0.01% | 0.01% | |
| B5 | Total revenue impacted by unplanned downtime of critical apps in the prior environment with 20% chance of revenue stoppage | Composite | $200,000,000 | $200,000,000 | $200,000,000 | |
| B6 | Percentage of total revenue impacted by improved availability with F5 | Composite | 0% | 10% | 10% | |
| B7 | Subtotal: Avoided lost revenue with improved availability | B3*B4*B5*B6 | $0 | $118,000 | $258,000 | |
| B8 | Total employees | Composite | 5,000 | 5,000 | 5,000 | |
| B9 | Likelihood that unplanned downtime of critical apps impacted employees in work hours in the prior environment | Composite | 5% | 5% | 5% | |
| B10 | Avoided unplanned employee downtime with F5 (hours) | B3*B8*B9 | 2,750 | 14,750 | 32,250 | |
| B11 | Productivity recapture | TEI standard | 50% | 50% | 50% | |
| B12 | Total avoided unplanned employees downtime with F5 (hours) | B10*B11 | 1,375 | 7,375 | 16,125 | |
| B13 | Average fully burdened hourly rate of an end user | Composite | $35 | $35 | $35 | |
| B14 | Subtotal: Avoided employee downtime | B12*B13 | $48,125 | $258,125 | $564,375 | |
| Bt | Improved availability | B7+B14 | $48,125 | $376,125 | $822,375 | |
| Risk adjustment | ↓20% | |||||
| Btr | Improved availability (risk-adjusted) | $38,500 | $300,900 | $657,900 | ||
| Three-year total: $997,300 | Three-year present value: $777,968 | |||||
Evidence and data. Interviewees pointed to several aspects of F5 Distributed Cloud Services that streamlined their organizations’ security operations; centralized security polices; mitigated the impacts of security incidents; and secured their organizations’ scalable, distributed environments.
Modeling and assumptions. Based on the interviews, Forrester assumes:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this benefit:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $453,000.
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|
| C1 | Total security operations FTEs in the prior environment | Composite | 12 | 12 | 12 |
| C2 | Percentage of environment delivered by F5 Distributed Cloud Services | A2 | 25% | 45% | 95% |
| C3 | Security operations productivity improvement with F5 | Interviews | 10% | 18% | 20% |
| C4 | Average fully burdened annual salary for a security operations professional | Composite | $180,500 | $180,500 | $180,500 |
| Ct | Security operations productivity improvement | $54,150 | $175,446 | $411,540 | |
| Risk adjustment | ↓10% | ||||
| Ctr | Security operations productivity improvement (risk-adjusted) | $48,735 | $157,901 | $370,386 | |
| Three-year total: $577,022 | Three-year present value: $453,078 | ||||
Evidence and data. Interviewees discussed how Distributed Cloud Services helped their organizations streamline deployment with added flexibility, including reducing the time to connect applications and APIs between clouds and infrastructure providers.
Interviewees described how automation introduced task-based efficiencies and vastly reduced manual processes. They offered further insights into how the accumulation of these efficiencies led to broad-based improvements in productivity, upskilling, and even the maturity of their security approaches and ability to scale. The following drivers resulted in significant productivity improvements for the interviewees’ organizations:
Modeling and assumptions. Based on the interviews, Forrester assumes:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this benefit:
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $302,000.
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|
| D1 | Total network operations FTEs in the prior environment | Composite | 8 | 8 | 8 |
| D2 | Percentage of environment delivered by F5 Distributed Cloud Services | A2 | 25% | 45% | 95% |
| D3 | Productivity improvement with F5 | Interviews | 10% | 18% | 20% |
| D4 | Average fully burdened annual salary for a network operations professional | Composite | $180,500 | $180,500 | $180,500 |
| Dt | Networking operations productivity improvement | $36,100 | $116,964 | $274,360 | |
| Risk adjustment | ↓10% | ||||
| Dtr | Networking operations productivity improvement (risk-adjusted) | $32,490 | $105,268 | $246,924 | |
| Three-year total: $384,682 | Three-year present value: $302,052 | ||||
Evidence and data. Interviewees discussed ways in which their organizations transformed how their developers securely interacted with complex tooling and workloads. In the prior environment, their developers suffered from a high level of rework due to malware infections in the production environment, as well as high latency levels and limited availability. This slowed down — or even prevented — the release of customer-facing software and services.
With Distributed Cloud Services, developers were able to access complex tooling and advanced workloads more securely and with less latency. In most cases, this led to a more secure production environment with less rework. For some organizations, that improvement permitted their developers to accelerate release schedules and improve time to market for customer-facing services. Other organizations maintained their SDLC schedules while scaling the amount of software developed with the same number of resources as in the prior environment. These security improvements to the SDLC environment resulted in valuable optimizations.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this benefit:
Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $261,000.
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|
| E1 | Total developers | Composite | 50 | 50 | 50 |
| E2 | Annual SDLC weeks in the prior environment (two 25-week cycles) | Composite | 50 | 50 | 50 |
| E3 | Total SDLC hours annually | E1*E2*40 | 100,000 | 100,000 | 100,000 |
| E4 | Security optimization of SDLC workflows with F5 | Interviews | 0.0% | 0.0% | 5.0% |
| E5 | Total developer hours reattributed to the SDLC | E3*E4 | 0 | 0 | 5,000 |
| E6 | Average fully burdened developer hourly rate | Composite | $87 | $87 | $87 |
| Et | SDLC security optimization | E5*E6 | $0 | $0 | $435,000 |
| Risk adjustment | ↓20% | ||||
| Etr | SDLC security optimization (risk-adjusted) | $0 | $0 | $348,000 | |
| Three-year total: $348,000 | Three-year present value: $261,458 | ||||
Interviewees mentioned the following additional benefits that their organizations experienced but that were not quantified for the study:
| Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|---|
| Gtr | F5 Distributed Cloud Services | $0 | $226,010 | $303,851 | $377,256 | $907,117 | $740,018 |
| Htr | Implementation | $128,216 | $61,811 | $33,681 | $15,740 | $239,448 | $224,069 |
| Itr | Administration | $0 | $19,906 | $29,858 | $44,788 | $94,552 | $76,422 |
| Total costs (risk-adjusted) | $128,216 | $307,727 | $367,390 | $437,784 | $1,241,117 | $1,040,509 | |
Evidence and data. Interviewees offered insight into how their organizations configured their F5 Distributed Cloud Services to meet various business objectives with combinations of the following products:
Vectors that ramped costs for interviewees’ organizations included consumption- and application-based models:
Modeling and assumptions. The composite experiences the following F5 costs:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this cost:
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $740,000.
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|---|
| G1 | F5 Distributed Cloud Services base package subscription | Composite | $0 | $24,720 | $24,720 | $24,720 | |
| G2 | Multicloud Networking | Composite | $0 | $46,704 | $48,552 | $71,904 | |
| G3 | Bot Defense | Composite | $0 | $37,080 | $67,980 | $67,980 | |
| G4 | Application Security | Composite | $0 | $96,960 | $134,976 | $178,356 | |
| Gt | F5 Distributed Cloud Services | G1*G2*G3+G4 | $0 | $205,464 | $276,228 | $342,960 | |
| Risk adjustment | ↑10% | ||||||
| Gtr | F5 Distributed Cloud Services (risk-adjusted) | $0 | $226,010 | $303,851 | $377,256 | ||
| Three-year total: $907,117 | Three-year present value: $740,018 | ||||||
Evidence and data. Interviewees charted the deployment arc for Forrester, describing multiyear approaches that closely aligned with their respective organizations’ business objectives. These phases typically included an initial, pre-procurement proof-of-value phase in which a segment of the deployment process is completed. From there, several successive testing and technical implementation phases of various apps involved progressively fewer resources thanks to efficiencies enabled through both the streamlined infrastructure itself and iterative labor processes.
POC/testing:
Phased technical implementations:
Ongoing implementations and adoption:
Modeling and assumptions. The composite organization experiences implementation and maintenance costs as follows:
Internal implementation costs:
External implementation costs:
Testing costs:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this cost:
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $224,000.
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|---|
| H1 | Total FTEs dedicated to implementation | Composite | 3 | 3 | 3 | 3 | |
| H2 | Average number of hours dedicated to implementation per FTE | Composite | 260 | 130 | 65 | 33 | |
| H3 | Average fully burdened hourly rate for an implementation resource | Composite | $87 | $87 | $87 | $87 | |
| H4 | Subtotal: Internal implementation labor costs | H1*H2*H3 | $67,860 | $33,930 | $16,965 | $8,613 | |
| H5 | Subtotal: Third-party implementation costs | Interviews | $40,000 | $20,000 | $10,000 | $5,000 | |
| H6 | Total FTEs dedicated to testing | Composite | 25 | 13 | 7 | 4 | |
| H7 | Average hours of testing per FTE | Composite | 4 | 2 | 6 | 2 | |
| H8 | Average fully burdened hourly rate for an implementation resource | H3 | $87 | $87 | $87 | $87 | |
| H9 | Subtotal: Testing costs | H6*H7*H8 | $8,700 | $2,262 | $3,654 | $696 | |
| Ht | Implementation | H4+H5+H9 | $116,560 | $56,192 | $30,619 | $14,309 | |
| Risk adjustment | ↑10% | ||||||
| Htr | Implementation (risk-adjusted) | $128,216 | $61,811 | $33,681 | $15,740 | ||
| Three-year total: $239,448 | Three-year present value: $224,069 | ||||||
Evidence and data. Interviewees shared how their organizations experienced minimal ongoing labor effort once Distributed Cloud Services was established.
Modeling and assumptions. The composite organization experiences administration costs as follows:
Risks. Forrester recognizes that these results may not be representative of all experiences. The following factors may impact this cost:
Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $76,000.
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|---|
| H1 | Total annual hours of product administration | Interviews | 0 | 208 | 312 | 468 | |
| H2 | Average fully burdened hourly rate for an administrator | Composite | $87 | $87 | $87 | $87 | |
| Ht | Administration | H1*H2 | $0 | $18,096 | $27,144 | $40,716 | |
| Risk adjustment | ↑10% | ||||||
| Htr | Administration (risk-adjusted) | $0 | $19,906 | $29,858 | $44,788 | ||
| Three-year total: $94,552 | Three-year present value: $76,422 | ||||||
The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | ($128,216) | ($307,727) | ($367,390) | ($437,784) | ($1,241,117) | ($1,040,509) |
| Total benefits | $0 | $175,075 | $730,119 | $2,043,870 | $2,949,064 | $2,298,154 |
| Net benefits | ($128,216) | ($132,652) | $362,729 | $1,606,087 | $1,707,947 | $1,257,645 |
| ROI | 121% | |||||
| Payback | 21 months | |||||
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
Benefits represent the value delivered to the business by the product. The TEI methodology places equal weight on the measure of benefits and the measure of costs, allowing for a full examination of the effect of the technology on the entire organization.
Costs consider all expenses necessary to deliver the proposed value, or benefits, of the product. The cost category within TEI captures incremental costs over the existing environment for ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. Having the ability to capture that benefit has a PV that can be estimated.
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
1 Source: The Top 10 Trends In IT Networking, 2023, Forrester Research, Inc., August 23, 2023.
2 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
3 The F5 Distributed Cloud Services Base Package includes one public load balancer and unlimited internal load balancers.
4The F5 Distributed Cloud Services Base Package includes one public load balancer and unlimited internal load balancers.
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