Executive Summary
Data center networks have evolved from static, hardware‑defined environments into software‑driven architectures that can scale, segment, and adapt in real time. In today’s modern data center, the network must operate as a dynamic, policy‑based platform that continuously aligns infrastructure resources to changing application and business demands. These modern data center networks are highly automated and software driven, delivering high bandwidth, low latency, and predictable performance for digital applications. Technologies such as leaf‑spine architectures, virtualization, and intent‑based networking enable rapid scaling and operational efficiency, while security, resilience, and simplicity remain core design principles that help organizations innovate faster and reduce risk and operational overhead.1
Apstra Data Center Director is an intent-based networking platform that provides comprehensive data center fabric management and full lifecycle automation of data center networks, from design and deployment to ongoing operations. Data Center Director works together with Data Center Assurance, a suite of cloud-based AIOps applications powered by Mist, HPE’s AI-native networking platform. Together, they offer a complete solution purpose-built to deliver insight, speed, and reliability for data center network operations.
HPE commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Apstra Data Center Director.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Apstra Data Center Director on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers with experience using Apstra Data Center Director. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is a globally operating company with $3 billion in annual revenue.
Interviewees said that prior to using Apstra Data Center Director, their organizations relied heavily on manual, command-line interface (CLI)‑based processes to design, deploy, and operate data center networks. These environments were characterized by slow service provisioning, high risk of configuration errors, and limited ability to safely distribute operational responsibilities across teams. As a result, organizations experienced inconsistent network stability, operational bottlenecks, and growing dependence on senior engineers to manage increasingly complex environments. These challenges constrained scalability and increased business risk as data center footprints expanded.
After the investment in Apstra Data Center Director, interviewees reported that their organizations were able to standardize and automate data center management, enabling teams to design, deploy, and operate networks with greater efficiency and confidence. Key results from the investment included faster Day 0 design and preparation through reusable, validated designs; streamlined Day 1 deployment and activation with fewer resources and lower execution risk; and ongoing Day 2+ operational savings driven by quicker change execution and reduced incident resolution times. Interviewees also reported improved network stability, including fewer configuration‑related outages and significantly reduced downtime when issues occurred.
Key Findings
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
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A 98% reduction in Day 0 efforts. The composite organization realizes a significant reduction in Day 0 data center design and preparation effort after adopting Apstra Data Center Director. By leveraging standardized, validated designs and reusable templates, engineering teams avoid rebuilding data center architectures from scratch for each new deployment, significantly reducing upfront planning and configuration work. This approach allows new data centers to be designed in hours rather than weeks. Over three years, these efficiency gains translate into $21,000 in labor savings for the composite organization.
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A 95% reduction in Day 1 deployment efforts. Following adoption of Apstra Data Center Director, Day 1 activities require substantially less engineering effort for the composite organization. By automating configuration, validation, and activation workflows, engineering teams deploy new data center infrastructure with fewer manual steps and reduced overhead. This approach allows data centers to be deployed with significantly less engineering effort compared to prior manual processes. Over three years, these efficiency gains translate into nearly $100,000 in labor savings for the composite organization.
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A 75% reduction in Day 2+ operations effort. After adopting Apstra Data Center Director, the composite organization reduces the ongoing effort required to operate and maintain data center networks. Automated provisioning, faster change execution, reduced troubleshooting time, and fewer configuration‑related incidents lower the day‑to‑day engineering effort needed to support data center environments. These efficiencies allow the composite to manage growing data center complexity without proportionally increasing operational resources. Over three years, the reduction in Day 2+ operational effort results in $1.6 million in labor savings for the composite organization.
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Three avoided network outages per year. After adopting Apstra Data Center Director, the composite organization improves network stability by reducing configuration‑related errors. As a result, the organization avoids three network outages annually and limits the impact of issues when they occur. Over three years, these stability improvements translate into $1.4 million in avoided outage impacts for the composite organization.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
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Reduced reliance on senior or specialized engineers. Embedded guardrails, validation, and standardized workflows in Data Center Director enable the composite organization to distribute network operations responsibilities more broadly across the team, reducing dependence on senior engineers and external expertise.
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Reduced risk in executing changes. Predeployment validation, intent‑based controls, and automated rollback capabilities reduce risk and operator stress for the composite organization when executing network changes.
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Improved visibility into network state and dependencies. Network telemetry and health indicators provide the composite organization with clearer visibility into network state and change implications, improving both operational visibility and incident response.
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Improved standardization and reduction in configuration drift. Consistent, validated designs and drift detection mechanisms help the composite organization maintain configuration consistency across data centers, reducing variability and issues requiring remediation.
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
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Licensing costs for Apstra totaling $638,000. The composite organization’s licensing costs are based on the total number of spine-and-leaf switches in its data centers.
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Implementation and training costs of $37,000. The composite organization incurs labor costs associated with implementing Apstra and training engineers.
The financial analysis that is based on the interviews found that a composite organization experiences benefits of $3.1 million over three years versus costs of $675,000, adding up to a net present value (NPV) of $2.4 million and an ROI of 361%.
Key Statistics
361%
Return on investment (ROI)
$3.1M
Benefits PV
$2.4M
Net present value (NPV)
<6 months
Payback
Benefits (Three-Year)
The HPE Apstra Data Center Director Customer Journey
Drivers leading to the Apstra Data Center Director investment
Interviews
| Role | Organization | Region | Annual Revenue |
|---|---|---|---|
| Network operations manager | Web hosting company | APAC | A$2 million to A$5 million |
| Head of network infrastructure | Automotive supplier | EMEA | €40 billion |
| Network team leader | E-commerce retailer | EMEA |
RON 11.2 billion (€2.24 billion) |
| Network manager | Data management company | APAC | Not applicable |
Key Challenges
Prior to Apstra Data Center Director, the interviewees’ organizations relied on CLI-based configuration and management for their data center environments. Interviewees noted how their organizations struggled with common challenges, including:
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Slow and error-prone network operations due to manual, CLI-based configuration. Prior to adopting Apstra Data Center Director, interviewees described network operations that relied heavily on manual, CLI‑based configuration. Routine activities such as provisioning services, making configuration changes, or activating new infrastructure required engineers to log into individual devices and execute changes step by step. These workflows were time‑consuming and prone to human error, often requiring additional peer review and post‑change validation to reduce risk.
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Reliance on senior engineers. Interviewees reported that the complexity and risk of manual network operations limited who could safely make changes. In many cases, only senior engineers were comfortable working on core network infrastructure, while junior engineers were restricted due to the risk of misconfiguration and outages. This created operational bottlenecks and increased dependency on a small number of highly experienced individuals. As a result, teams struggled to distribute workloads evenly.
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Inconsistent network stability and configuration-related outages. Customers described inconsistent network stability prior to Apstra Data Center Director, including frequent configuration‑related incidents and unpredictable behavior during changes and maintenance activities. Misconfigurations could take hours to diagnose and resolve, sometimes requiring multiple engineers and extended troubleshooting efforts. In some cases, outages had material business impact due to prolonged downtime. Lack of automated validation and safeguards increased the operational risk associated with routine changes and contributed to recurring instability.
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Limited visibility and difficulty managing complex environments. Before Apstra Data Center Director, interviewees lacked comprehensive visibility into the state of the network, dependencies, and configuration consistency across environments. Troubleshooting often required engineers to manually correlate information from multiple tools or rely on the knowledge of senior engineers. As networks grew more distributed and complex, this lack of visibility made it difficult to assess the impact of changes or proactively identify emerging issues. The absence of standardized views and telemetry increased operational effort and prolonged the time to incident resolution.
Solution Requirements
Based on the challenges described, interviewees required a solution that could:
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Reduce reliance on manual, CLI‑based configuration by providing safer, more efficient ways to provision services, execute changes, and manage data center networks.
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Lower the operational skill barrier so that more engineers across skill levels could safely perform network changes.
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Improve network stability and reduce configuration‑related risk, particularly during routine changes, upgrades, and maintenance activities.
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Provide validated designs and guardrails to prevent misconfigurations and reduce the likelihood of outages.
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Scale with growing and increasingly complex environments without increasing operational headcount or dependence on external expertise.
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Improve visibility into network state and dependencies to simplify troubleshooting and change impact assessment.
Composite Organization
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 interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
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Description of composite. The composite organization is a globally operating company that generates $3 billion in annual revenue and has 5,000 employees. Before adopting Apstra Data Center Director, it has two major production data centers.
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Deployment characteristics. The composite organization operates standard five-stage spine-leaf-design data centers. Each data center has six spine switches and 24 leaf switches in total. The underlying components of each data center are two super spines connecting two pods with two spines and 12 leaf switches (10 leaves and two border leaves) in each pod. Prior to adopting Apstra Data Center Director, the composite organization operates two existing data centers. During the initial implementation period, Apstra Data Center Director is deployed across both environments. Beginning in Year 1, the organization brings one new data center online each year, each built and operationalized using Apstra. As a result, the composite organization operates three data centers with Apstra in Year 1, four in Year 2, and five in Year 3.
KEY ASSUMPTIONS
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$3 billion in revenue
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5,000 employees
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Standard five-stage spine-leaf design
Analysis Of Benefits
Quantified benefit data as applied to the composite
Total Benefits
| Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|
| Atr | Day 0: Design and planning cost savings | $8,256 | $8,256 | $8,256 | $24,767 | $20,531 |
| Btr | Day 1: Deployment cost savings | $40,014 | $40,014 | $40,014 | $120,042 | $99,509 |
| Ctr | Day 2+: Data center operations cost savings | $477,360 | $636,480 | $795,600 | $1,909,440 | $1,557,726 |
| Dtr | Increased network stability | $576,000 | $576,000 | $576,000 | $1,728,000 | $1,432,427 |
| Total benefits (risk-adjusted) | $1,101,630 | $1,260,750 | $1,419,870 | $3,782,249 | $3,110,193 |
Day 0: Design And Planning Cost Savings
Evidence and data. Interviewees said that after deploying Apstra Data Center Director, they witnessed productivity improvements in the FTEs used. This was seen in Day 0 savings through fewer FTE hours used for preparation and design tasks.
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The network operations manager at a web hosting company described how Apstra Data Center Director reduced upfront data center preparation effort for new fabric deployments. Prior to Apstra, the organization relied on a lean team of two engineers to manually define requirements and configurations. With Apstra Data Center Director, the team leveraged validated designs and templates, eliminating the need to create bespoke plans from scratch. Without these designs and templates, the interviewee noted that the same preparation work would have required significantly more time and engineering resources.
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The head of network infrastructure at an automotive supplier reported that Apstra Data Center Director materially reduced Day 0 design and preparation effort for standing up new data center fabrics. Before Apstra, preparation activities typically required approximately two full days of work and involved multiple engineers to validate designs and configurations. With Apstra, a single engineer could complete design and preparation activities in one to two hours by reusing standardized blueprints and validated architectures. This shift enabled the organization to accelerate data center preparation while reducing dependency on specialized engineering resources.
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The network team leader at an e‑commerce retailer explained that Apstra significantly streamlined data center preparation by enabling template‑driven, intent‑based workflows. Preparation activities that previously required multiple engineers and could take several days to as much as two weeks were reduced to hours and could be completed by a single engineer. By standardizing how designs and configurations were prepared, the organization improved consistency across deployments. This shift allowed the network team to design new environments with less engineering effort.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Performing Day 0 tasks for one data center prior to Apstra takes 120 hours for one senior engineer.
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With Apstra, Day 0 tasks take two hours, equating to a 98% reduction in effort.
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The composite prepares one data center each year.
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The fully burdened hourly salary for a senior engineer is $78.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the benefit will vary depending on:
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The maturity of an organization’s Day 0 processes prior to Apstra.
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Variation in data center size and complexity.
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Variation in engineering salaries, which can depend on factors such as industry, region, and skill sets.
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 $21,000.
98%
Reduction in Day 0 effort.
Day 0: Design And Planning Cost Savings
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | FTE hours using manual processes | Interviews | 120 | 120 | 120 | |
| A2 | FTE hours using Apstra | Interviews | 2 | 2 | 2 | |
| A3 | Reduction in Day 0 effort | (A1-A2)/A1 | 98% | 98% | 98% | |
| A4 | Data centers prepared | Composite | 1 | 1 | 1 | |
| A5 | Average hourly pay rate for a senior network engineer | Composite | $78 | $78 | $78 | |
| At | Day 0: Design and planning cost savings | A1*A3*A4*A5 | $9,173 | $9,173 | $9,173 | |
| Risk adjustment | ↓10% | |||||
| Atr | Day 0: Design and planning cost savings (risk-adjusted) | $8,256 | $8,256 | $8,256 | ||
| Three-year total: $24,767 | Three-year present value: $20,531 | |||||
Day 1: Deployment Cost Savings
Evidence and data. Interviewees reported that after deploying Apstra Data Center Director, Day 1 data center deployment involved fewer engineers, less manual effort, and lower operational risk.
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At the automotive supplier, the head of network infrastructure described how Apstra’s standardized blueprints and zero-touch provisioning capabilities reduced the complexity and staffing required during Day 1 activities. Before Apstra, data center setup relied on a combination of internal and external engineers to execute and validate configurations. With Apstra, Day 1 deployment could be executed by two internal engineers using predefined blueprints, significantly reducing reliance on external support. This shift effectively reduced hundreds of days of external engineering effort while maintaining consistency across environments.
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The network team leader at an e-commerce retailer shared that Apstra streamlined Day 1 efforts by enabling preconfiguration before deployment and activation of multiple racks at the same time. Prior to Apstra, activating a single rack after cabling required two days to one week of manual configuration and validation. With Apstra, the team could activate one to five racks in minutes by applying predefined connectivity templates and allowing Apstra to automatically validate configuration consistency. This capability enabled rapid scale-out while reducing risk of misconfigurations and overall operational effort.
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The network operations manager at a web hosting company explained that Apstra simplified Day 1 deployment by consolidating intent-based configuration, built-in validation, and topology insights into a single platform. Physical setup of fabrics could be completed in approximately two to three days using three engineers, followed by one day of system-level testing and one day of documentation. The interviewee noted that Apstra’s templated configurations and self-documentation capabilities reduced manual effort for both network and systems teams.
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The network manager at a data management company explained that Apstra enabled smooth and reliable Day 1 execution by enforcing validated configurations and automated checks during deployment activities. The interviewee noted that Apstra’s pre‑flight validation prevented risky configurations from being deployed and allowed the team to proceed confidently during implementation windows. As a result, deployments progressed without issues requiring rollback.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Deployment effort per switch requires 20 hours of engineering effort prior to Apstra.
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With Apstra deployment effort is reduced to 1 hour, a 95% reduction.
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The composite organization deploys one data center comprising 30 total switches each year.
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The average hourly rate for a senior engineer is $78.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the benefit will vary depending on:
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The maturity of an organization’s Day 1 processes prior to Apstra.
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Variation in data center size and complexity.
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Variation in engineering salaries, which can depend on factors such as industry, region, and skill sets.
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 $100,000.
95%
Reduction in effort for Day 1 deployment efforts
Day 1: Deployment Cost Savings
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Deployment FTE hours per switch using manual processes | Interviews | 20 | 20 | 20 | |
| B2 | Deployment FTE hours per switch using Apstra | Interviews | 1 | 1 | 1 | |
| B3 | FTE hours saved | (B1-B2)/B1 | 95% | 95% | 95% | |
| B4 | Switches provisioned per data center | Composite | 30 | 30 | 30 | |
| B5 | Average hourly pay rate for senior network engineer | Composite | $78 | $78 | $78 | |
| Bt | Day 1: Deployment cost savings | B1*B3*B4*B5 | $44,460 | $44,460 | $44,460 | |
| Risk adjustment | ↓10% | |||||
| Btr | Day 1: Deployment cost savings (risk-adjusted) | $40,014 | $40,014 | $40,014 | ||
| Three-year total: $120,042 | Three-year present value: $99,509 | |||||
Day 2+: Data Center Operations Cost Savings
Evidence and data. Interviewees reported that after deploying Apstra Data Center Director, day 2 operations required less manual effort, fewer resources, and lower operational risk. Across organizations, built‑in validation, standardized change workflows, and automation improved day‑to‑day efficiency and reduced errors.
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The network operations manager at a web hosting company reported that Apstra reduced ongoing operational effort by compressing routine provisioning and change workflows from hours or days into minutes. For example, provisioning a private cloud service decreased from roughly one day of manual configuration and review to under 30 minutes, and common configuration changes that previously required around an hour were completed in 5 to 10 minutes, representing an estimated reduction in manual effort of more than 80%.
The interviewee also described a meaningful reduction in configuration-related errors, noting only two human-error incidents over two years with Apstra compared to roughly one per month previously, with remediation now typically handled by a single engineer instead of two to three. Over time, these efficiencies enabled the organization to avoid hiring one to two additional network resources, which the interviewee estimated would have cost approximately $150,000 to $200,000 annually. -
The head of network infrastructure at an automotive supplier indicated that Apstra reduced ongoing operational costs by lowering incident volume and enabling faster, more standardized change execution. The interviewee reported that quarterly network tickets declined from about 30 to approximately five, an 83% reduction in ticket volume, even as the network footprint expanded substantially. In addition, the team shifted network changes from after-hours windows to standard changes during business hours.
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The network team leader at an e-commerce retailer tied ongoing operational savings to faster recovery from misconfigurations and safer execution of changes. The interviewee described incidents that previously required eight hours to diagnose and remediate being resolved in less than 10 to 20 minutes with Apstra, representing an approximate 96% reduction in mean time to resolution.
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The network manager at a data management company said that Apstra reduced reliance on senior staff by enabling routine network changes to be executed safely by a broader set of engineers. The interviewee explained that Apstra’s preflight checks and guardrails reduced operational risk and enabled more engineers to make changes safely, improving team efficiency and reducing dependency on senior resources.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Two network engineer FTEs are required to operate a data center prior to Apstra.
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By adopting Apstra data center operations efforts are reduced by 75%, reducing hours to 1,040 per data center.
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The composite organization services three, four, and five data centers in Years 1, 2, and 3, respectively.
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The average hourly pay rate for a network engineer is $60.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the benefit will vary depending on:
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Ongoing data center management requirements prior to Apstra.
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The size and complexity of individual data centers.
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The number of data centers operated by an organization.
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Variation in skill sets and network engineer salaries.
Results. To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.6 million.
75%
Reduction in Day 2+ operations effort
Day 2+: Data Center Operations Cost Savings
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | Average FTE hours used to operate a data center without Apstra | Composite | 4,160 | 4,160 | 4,160 | |
| C2 | Average FTE hours used to operate a data center with Apstra | Interviews | 1,040 | 1,040 | 1,040 | |
| C3 | Reduction in effort to operate a data center with Apstra | (C1-C2)/C1 | 75% | 75% | 75% | |
| C4 | Data centers serviced | Composite | 3 | 4 | 5 | |
| C5 | Average hourly pay rate for a network engineer | Composite | $60 | $60 | $60 | |
| Ct | Day 2+: Data center operations cost savings | C1*C3*C4*C5 | $561,600 | $748,800 | $936,000 | |
| Risk adjustment | ↓15% | |||||
| Ctr | Day 2+: Data center operations cost savings (risk-adjusted) | $477,360 | $636,480 | $795,600 | ||
| Three-year total: $1,909,440 | Three-year present value: $1,557,726 | |||||
Increased Network Stability
Evidence and data. Interviewees consistently reported improved network stability after adopting Apstra Data Center Director, citing fewer outages, faster remediation of issues, and reduced operational disruption even as data center environments grew.
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The network manager at a data management company reported sustained improvements in network stability following the adoption of Apstra. The interviewee reported that prior to Apstra, network outages were frequent, whereas after implementation the organization experienced no Juniper-caused network outages. They attributed this improvement to Apstra’s preflight checks and safeguards, which prevented risky changes from being deployed and enabled more engineers to operate the network safely. Over time, the environment required less reactive attention, with stability becoming the expected operating state rather than an ongoing concern.
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The network team leader at an e‑commerce retailer reported that Apstra materially improved network stability and reduced the business impact of configuration‑related incidents. For example, the interviewee described an outage prior to Apstra that took approximately eight hours to resolve and was estimated to cost the business roughly RON 1 million, or about US$215,000, due to service disruption during that period. With Apstra, configuration issues could be detected and remediated within 10 to 20 minutes, significantly limiting the duration and impact of incidents when they occurred. The interviewee emphasized that rapid rollback and automated validation capabilities enabled the team to contain issues before they escalated into prolonged service disruptions.
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The network operations manager at a web hosting company reported an improvement in network stability, citing fewer configuration errors and faster remediation when issues occurred. Since deploying Apstra, the organization experienced only two configuration‑related incidents over a two‑year period, compared to roughly one per month prior to adoption.
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The head of network infrastructure at an automotive supplier shared that network stability improved after adopting Apstra, with a significant decline in network‑related tickets even as network scale grew. They attributed this improvement to standardized designs, validated configurations, and more predictable change execution enabled by Apstra.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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The composite organization experiences three significant network outages per year prior to Apstra.
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The average duration of each outage is 8 hours.
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The cost of outage per hour is $30,000 of lost business revenue.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the benefit will vary depending on:
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The average frequency, duration, and severity of network outages experienced prior to Apstra.
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The cost of a network outage, which can vary depending on several factors, including application criticality, business reliance on data center availability, the scale of user and system impact, lost revenue exposure, and productivity impacts.
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 $1.4 million.
$576,000
Annual savings due to avoided outages
Increased Network Stability
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| D1 | Avoided network outages with Apstra | Interviews | 3 | 3 | 3 | |
| D2 | Average outage duration (hours) | Interviews | 8 | 8 | 8 | |
| D3 | Cost of outage per hour | Interviews | $30,000 | $30,000 | $30,000 | |
| Dt | Increased network stability | D1*D2*D3 | $720,000 | $720,000 | $720,000 | |
| Risk adjustment | ↓20% | |||||
| Dtr | Increased network stability (risk-adjusted) | $576,000 | $576,000 | $576,000 | ||
| Three-year total: $1,728,000 | Three-year present value: $1,432,427 | |||||
Unquantified Benefits
Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:
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Reduced reliance on senior or specialized engineers. Interviewees reported that Apstra lowered the skill barrier for managing data center networks by embedding guardrails, validation, and standardized workflows. Across the interviewees’ organizations, tasks that previously required senior engineers or external specialists could be performed safely by a broader set of engineers using Apstra. This reduced dependency on scarce expertise and improved team flexibility, particularly during routine changes and operational tasks. As a result, teams were less constrained by availability of senior resources and better able to distribute operational responsibility.
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Reduced risk in executing changes. Interviewed customers consistently reported higher confidence when executing changes after adopting Apstra. Predeployment validation, intent‑based controls, and automated rollback capabilities reduced the risk of misconfiguration. As a result, teams were more comfortable executing changes during regular business hours instead of restricting work to after‑hours maintenance windows. This increased confidence enabled teams to move forward with planned updates more quickly and with lower operational risk.
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Improved visibility into network state and dependencies. Interviewees reported that Apstra improved visibility into network status, topology, and dependencies through graphical fabric visualizations, health indicators, and telemetry‑driven insights. Visualization of the network, combined with anomaly detection and status indicators, enabled teams to quickly understand the scope and impact of changes or issues without extensive manual investigation. As a result, teams spent less time stitching together information across tools and found troubleshooting more intuitive and less dependent on individual familiarity with the environment.
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Standardization and reduction in configuration drift. Interviewees reported that Apstra helped enforce consistent, validated designs across environments, reducing configuration drift and variability between sites. They highlighted the use of templates, blueprints, and built‑in drift detection to ensure changes aligned with the network intent and that deviations were identified quickly. By standardizing configurations, teams experienced more predictable deployments and spent less time addressing issues caused by manual errors.
Flexibility
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Apstra Data Center Director and later realize additional uses and business opportunities, including:
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Ability to adapt the data center network to meet changing business needs. The head of network infrastructure at an automotive supplier described how Apstra improved the organization’s ability to adapt its network infrastructure in response to evolving business requirements. The interviewee explained that Apstra helped accelerate the adoption of new protocol sets and technologies, reducing the time required for major initiatives from one to two years to approximately six months. The interviewee shared: “We can adjust our infrastructure according to business needs much quicker.”
Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Total Economic Impact Approach).
Analysis Of Costs
Quantified cost data as applied to the composite
Total Costs
| Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
|---|---|---|---|---|---|---|---|
| Etr | Apstra licensing | $0 | $195,615 | $260,820 | $326,025 | $782,460 | $638,333 |
| Ftr | Apstra implementation and training | $32,380 | $1,822 | $1,822 | $1,822 | $37,844 | $36,910 |
| Total costs (risk-adjusted) | $32,380 | $197,437 | $262,642 | $327,847 | $820,304 | $675,243 |
Apstra Licensing
Evidence and data. Apstra licensing costs for the interviewees’ organizations are based on the number of spine and leaf switches deployed and licensing tiers. Pricing may vary. Contact HPE for additional details.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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The composite organization operates 3, 4, and 5, data centers with Apstra in Years 1, 2, and 3, respectively.
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Apstra licensing costs associated with the composite’s data center footprint are $186,300, $248,400, and $310,500, in Years 1, 2, and 3, respectively.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the cost will vary depending on:
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The number, size, and devices associated with an organization’s data center environments and Apstra usage.
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Pricing factors such as licensing editions.
Results. To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $638,000.
Apstra Licensing
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| E1 | Data centers operated | Composite | 3 | 4 | 5 | |
| E2 | Apstra licensing | Composite | $186,300 | $248,400 | $310,500 | |
| Et | Apstra licensing | E2 | $186,300 | $248,400 | $310,500 | |
| Risk adjustment | ↑5% | |||||
| Etr | Apstra licensing (risk-adjusted) | $0 | $195,615 | $260,820 | $326,025 | |
| Three-year total: $782,460 | Three-year present value: $638,333 | |||||
Apstra Implementation And Training
Evidence and data. The interviewee’s organizations incurred costs for implementation and training.
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The network team leader at an e‑commerce retailer reported that implementing and adopting Apstra took approximately two months end to end, inclusive of testing and production rollout, with two engineers each contributing roughly 10% of their time. The network manager at a data management company estimated approximately 12 weeks of preparation and configuration, involving seven internal resources alongside limited professional services and Juniper support, totaling an estimated 400 to 500 hours of effort. Other interviewed customers did not provide detailed implementation effort metrics, but characterized adoption as straightforward once initial designs and configurations were established.
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At the e-commerce retailer and the data management company, teams relied primarily on self-paced learning, vendor documentation, and collaboration with Juniper engineers, without purchasing dedicated Apstra training. Several interviewees emphasized that intent-based workflows and visual validation reduced the need for deep platform-specific training, enabling engineers to become productive quickly.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Implementation of Apstra for the composite organization incurs 250 hours of a senior network engineer’s time.
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The composite organization has a team of 6 network engineers that each participate in 24 hours of training in the initial year. In Years 1 through 3, one new network engineer receives 24 hours of training, accounting for turnover. The average hourly burdened salary of a network engineer participating in training is $69.
Risks. Forrester recognizes that these results may not be representative of all experiences and the value of the cost will vary depending on:
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The complexity, size, and layout of the organization’s data center fabrics.
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Existing skill sets.
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Variation in network engineer salaries.
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 $37,000.
Apstra Implementation And Training
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| F1 | Apstra Implementation (hours) | Interviews | 250 | |||
| F2 | Average hourly pay rate for a senior network engineer | Composite | $78 | |||
| F3 | Personnel trained | Composite | 6 | 1 | 1 | 1 |
| F4 | Training time (hours) | Interviews | 24 | 24 | 24 | 24 |
| F5 | Average hourly salary of a trained network engineer | Composite | $69 | $69 | $69 | $69 |
| Ft | Apstra implementation and training | (F1*F2)+(F3*F4*F5) | $29,436 | $1,656 | $1,656 | $1,656 |
| Risk adjustment | ↑10% | |||||
| Ftr | Apstra implementation and training (risk-adjusted) | $32,380 | $1,822 | $1,822 | $1,822 | |
| Three-year total: $37,844 | Three-year present value: $36,910 | |||||
Financial Summary
Consolidated Three-Year, Risk-Adjusted Metrics
Cash Flow Chart (Risk-Adjusted)
Cash Flow Analysis (Risk-Adjusted)
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | ($32,380) | ($197,437) | ($262,642) | ($327,847) | ($820,304) | ($675,243) |
| Total benefits | $0 | $1,101,630 | $1,260,750 | $1,419,870 | $3,782,249 | $3,110,193 |
| Net benefits | ($32,380) | $904,193 | $998,108 | $1,092,023 | $2,961,945 | $2,434,950 |
| ROI | 361% | |||||
| Payback | <6 months |
Please Note
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.
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.
From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Juniper Apstra.
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 Juniper Apstra can have on an organization.
Due Diligence
Interviewed HPE stakeholders and Forrester analysts to gather data relative to Apstra.
Interviews
Interviewed four decision-makers at organizations using HPE Apstra to obtain data about costs, benefits, and risks.
Composite Organization
Designed a composite organization based on characteristics of the interviewees’ organizations.
Financial Model Framework
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.
Case Study
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.
Total Economic Impact Approach
Benefits
Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.
Costs
Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.
Flexibility
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.
Risks
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.”
Financial Terminology
Present value (PV)
The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PVs of costs and benefits feed into the total NPV of cash flows.
Net present value (NPV)
The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.
Return on investment (ROI)
A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.
Discount rate
The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.
Payback
The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.
Appendix A
Total Economic Impact
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Appendix B
Endnotes
1 Source: The Data Center Network Solutions Landscape, Q1 2026, Forrester Research, Inc., March 20, 2026.
2 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.
Disclosures
Readers should be aware of the following:
This study is commissioned by HPE 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 Apstra. For any interactive functionality, the intent is for the questions to solicit inputs specific to a prospect's business. Forrester believes that this analysis is representative of what companies may achieve with Juniper Apstra based on the inputs provided and any assumptions made. Forrester does not endorse HPE or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, HPE and Forrester Research are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein. The interactive tool is provided ‘AS IS,’ and Forrester and HPE make no warranties of any kind.
HPE 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.
HPE provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Published
May 2026