Executive Summary
As enterprises move their most critical workloads to the cloud, operational complexity can grow faster than most teams can scale. Architectures span hundreds of services and incidents require coordination across fragmented monitoring tools, multiple escalation tiers, and specialized expertise that’s difficult to maintain in-house. For organizations supporting revenue-generating or customer-facing applications, service disruptions can result in operational inefficiencies, delayed initiatives, and financial losses. Traditional models, which engage reactively when a customer opens a ticket, were not designed for this level of operational intensity.
Organizations running business-critical workloads on AWS face growing operational complexity as their cloud environments scale. Traditional case-based support models, which are reactive by design, cannot deliver the continuous oversight, automated detection, or structured operational processes required to maintain availability, performance, and security across production environments. AWS Unified Operations addresses these challenges by combining continuous monitoring, operational tooling, and predefined runbooks into an integrated service model that extends beyond break-fix support.
AWS Unified Operations provides ongoing operational oversight for supported workloads, incorporating capabilities such as application-level reviews, resilience assessments, operational readiness evaluations, migration support, live-event support, and security-focused reviews. These activities identify operational risks, configuration gaps, and potential failure points before they affect production environments. When conditions are detected, established processes and runbooks guide investigation and resolution, reducing reliance on ad hoc troubleshooting and manual escalation.
AWS commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying AWS Unified Operations.1 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of AWS Unified Operations on their organizations.
Key Statistics
181%
Return on investment (ROI)
$3.7M
Benefits PV
$2.4M
Net present value (NPV)
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed six decision-makers with experience using AWS Unified Operations. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is an enterprise with revenue of $1 billion per year and AWS spending of $12 million per year.
Interviewees said that before using AWS Unified Operations, they were managing increasingly complex and business-critical AWS environments. Many were in the midst of cloud modernization programs, platform transformations, or large-scale product initiatives that elevated operational risk and increased AWS infrastructure reliance. As cloud environments grew, their organizations faced common operational challenges: Teams struggled to coordinate expertise across increasingly complex architectures, and they often needed multiple internal specialists and lengthy escalation paths during critical incidents.
With AWS Unified Operations, interviewees said their organizations gained direct access to AWS specialists, proactive operational guidance, and enhanced incident engagement. They reported faster access to expertise, improved operational readiness for critical events, stronger resilience planning, reduced escalation delays, and greater confidence in service launches and workload modernization.
Key Findings
Quantified benefits. Quantified benefits for the composite organization include:
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Nearly $1.6 million in profit preserved through reduced downtime. The composite organization preserves profit by reducing the frequency and duration of business-critical incidents. Improvements in mean time to engage (MTTE) and mean time to resolve (MTTR), combined with a 33% reduction in incident volume, eliminate 327.5 hours of cumulative downtime across revenue-generating workloads over three years.
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Nearly $767,000 in labor savings and earlier revenue from accelerated application launches. The composite organization avoids 90% of potential application launch delays by leveraging AWS specialists during planning, design, and deployment. Faster time to market generates labor savings and earlier revenue capture from new capabilities.
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Up to a 66% decrease in MTTE and a 40% decrease in MTTR on incident management. The composite organization experiences decreased MTTE and MTTR with AWS Unified Operations on business-critical incidents, which translates to a lower labor investment in incident management. It also reduces external expert involvement in incident resolution by up to 40%. Over three years, this results in savings of nearly $349,000 for the composite organization.
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A 33% decrease in business-critical incidents. The composite organization has fewer business-critical incidents with AWS Unified Operations and eliminates the external expert time it would have needed to address them. Over three years, this results in savings of more than $290,000 for the composite organization.
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Up to 80% savings in internal executive effort to deal with incidents. The executives from the composite organization are pulled into fewer incident responses meetings, and the executives can reallocate their time to more strategic tasks. Over three years, the composite organization saves more than $37,000 from reduced executive effort.
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More than $696,000 savings in extended cloud engineering capacity. The composite organization gains a 1.75 FTE equivalent of specialized cloud expertise, including cloud architects, FinOps specialists, and service-specific engineers, without additional hiring.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
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Improved operational maturity and proactive operations. The composite organization shifts from a reactive operating model toward a proactive one, gaining earlier visibility into emerging risks, resiliency gaps, and operational weaknesses before these incidents impact the business. This results in stronger operational discipline, improved reliability practices, and a more predictable cloud operating environment.
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Greater confidence in executing cloud transformation and innovation initiatives. The composite organization accelerates cloud transformation, modernization, AI adoption, and strategic technology initiatives by gaining access to AWS expertise throughout planning and implementation activities. Engineering teams move forward with greater confidence because they can validate architectural decisions and navigate unfamiliar technologies with support from AWS specialists. This reduces uncertainty and lowers the risk associated with transformational projects.
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Improved organizational cloud knowledge and capability. The composite organization strengthens internal cloud skills through ongoing collaboration with AWS experts. Knowledge transfer during architecture reviews, optimization efforts, and operational engagements increases engineering proficiency, improves technical decision-making, and raises the overall cloud maturity of the organization. Over time, teams become better equipped to adopt new services, follow best practices, and manage increasingly complex cloud environments.
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Increased confidence in business-critical cloud operations. The composite organization gains confidence that AWS expertise is readily available when operational challenges arise. Leadership, application owners, and engineering teams can execute launches, migrations, and business-critical initiatives knowing that experienced AWS resources can quickly engage, provide guidance, and coordinate specialist support. This reduces operational uncertainty and increases trust in the organization’s ability to successfully operate business-critical cloud workloads.
Quantified costs. Quantified costs for the composite organization include:
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AWS Unified Operations upgrade cost. The composite organization upgrades its services plan from a previous tier to AWS Unified Operations.
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Initial onboarding review and ongoing management cost. To prepare for the use of AWS Unified Operations, the composite organization has a team of internal engineers review its IT stack with AWS experts during onboarding. Periodic technical review and account review meetings also occur during the service period.
The financial analysis that is based on the interviews found that a composite organization experiences benefits of $3.7 million over three years versus costs of $1.3 million, adding up to a net present value (NPV) of $2.4 million and an ROI of 181%.
Up to 40%
Reduction in internal experts involved in incident management
Benefits (Three-Year)
The AWS Unified Operations Customer Journey
Drivers leading to the AWS Unified Operations investment
Interviews
| Role | Industry | Region | AWS Annual Spending |
|---|---|---|---|
| VP of cloud and data engineering | Financial technology | Global (headquarters: US) | ~$6 million |
| Director of engineering | Healthcare | Global (headquarters: US) | ~$10+ million |
| Director of cloud engineering | Airline | Global (headquarters: US) | ~$150 million to $200 million |
| Engineering manager | Travel | Global (headquarters: Europe) | - |
| Senior director of cloud engineering | IT | Global (headquarters: US) | ~$12 million |
| Senior VP | Financial technology | Global (headquarters: US) | >$100 million |
Preadoption Environment
Interviewees shared that their organizations typically operated large-scale, business-critical AWS environments. They also already had a designated Technical Account Manager, Trusted Advisor recommendations, a 15-minute critical response service level objective, and access to AWS specialists through the standard escalation process. Even with these capabilities, persistent operational gaps remained.
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Growing portfolio of mission-critical AWS workloads. Interviewees’ organizations operated increasingly large and complex AWS environments that supported revenue-generating, customer-facing, and business-critical workloads. For many, AWS had become the primary platform underpinning digital products, customer experiences, operational systems, and core business services. These organizations managed large portfolios of applications that required high levels of availability, scalability, and operational stability, while supporting millions of users, high transaction volumes, and substantial cloud investments. As cloud adoption accelerated, AWS environments increasingly became the operational backbone of the business rather than simply an infrastructure platform.
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Ongoing cloud modernization and business transformation initiatives. Several interviewees described concurrent cloud modernization and business transformation initiatives that increased operational complexity. They were migrating legacy applications to the cloud, redesigning architectures, implementing AI and advanced analytics solutions, modernizing infrastructure, and expanding customer-facing digital services. These efforts often introduced new technologies, new dependencies, and unfamiliar AWS services, requiring organizations to balance innovation with operational stability. The senior director of cloud engineering at an IT organization shared: “We are restructuring; rewriting every line of code. We don’t want to make the same mistakes that we have over the last 18 years. We want to do it right.”
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Increasing importance of operational resilience and business continuity. Similarly, interviewees recognized that cloud operations had become increasingly tied to revenue generation and customer experience. Downtime was no longer viewed solely as an IT issue; rather, outages could directly affect business operations, revenue, customer satisfaction, and brand reputation. For organizations in industries such as travel, financial services, media, and software services, even short disruptions could have material consequences. The director of cloud engineering at an airline said: “Tier zero means zero tolerance for downtime. If that service goes down, we’re front-page news within 10 minutes.”
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Needing to support major launches, migrations and peak demand events. Interviewees’ organizations were also preparing for major launches, cloud migrations, modernization programs, and high-demand events that required exceptional operational readiness. Several interviewees highlighted business events where system performance and resilience were directly tied to organizational success. Examples included large-scale product launches, customer migrations, sporting events with millions of concurrent users, and high-volume commerce periods. These events amplified the potential impact of operational failures and placed additional pressure on already-stretched cloud operations teams.
Key Challenges
Before adopting AWS Unified Operations, interviewees’ organizations were operating at different maturity levels for incident response and cloud optimization.
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Low- to moderate-maturity organizations. While some interviewees’ organizations had highly capable cloud engineering teams and strong FinOps practices, their operational teams were still largely reactive and dependent on internal experts during incidents. Operational staff were not fully AWS-certified, and major incidents often required escalating issues to senior technical leaders and multiple VPs to diagnose infrastructure problems.
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Moderate-maturity organizations. Some interviewees’ organizations operated cloud workloads at substantial scale and placed extreme emphasis on availability. They maintained dedicated cloud engineering, platform operations, reliability engineering, cloud security, and governance teams. However, they still relied on AWS expertise to validate architectures, prepare for large-scale events, and troubleshoot complex incidents.
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Moderate- to high-maturity organizations. These interviewees’ organizations maintained structured incident management processes, mature observability practices, defined criticality classifications, on-call ownership, and strong internal operational capability. The primary challenge was not managing incidents internally but incorporating AWS deeply enough into the response process to improve resolution speed.
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High-maturity organizations. Interviewees’ organizations that demonstrated high incident response maturity possessed an established platform engineering organization, advanced incident management practices, launch simulations, large-scale performance testing, and a strong focus on operational resilience. These organizations already treated downtime as a major business event and maintained substantial internal cloud expertise. Rather than relying on AWS for only reactive support, those organizations wanted to leverage AWS Unified Operations to strengthen launch readiness, reduce operational risk, and gain specialized expertise in highly technical areas such as RDS, Kubernetes, and load balancing.
Despite possessing mature engineering organizations, interviewees reported common and increasing challenges in the following aspects:
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Coordinating expertise across complex cloud environments. As AWS estates expanded, interviewees’ organizations found it difficult to maintain sufficient expertise across the breadth of AWS services, architectures, and operational scenarios involved in their environments. Internal teams often possessed deep knowledge of their applications but lacked specialized expertise in all AWS technologies supporting those applications. The director of cloud engineering at an airline shared: “We clearly needed help. We have very knowledgeable people. The challenge is you can’t stretch the same people.”
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Accessing specialized AWS knowledge for critical workloads. Interviewees’ organizations regularly needed specialized AWS knowledge to evaluate designs, troubleshoot production issues, and validate operational decisions. Under their existing support models, reaching the right specialist meant opening a case, navigating escalation tiers, and reexplaining architectural context at each handoff. The senior director of cloud engineering at an IT organization put it plainly: “We would lose 35 to 40 minutes getting to the first engineer, then another handoff to the next. [We lost] 2 to 3 hours in transition alone.” Interviewees said that AWS Unified Operations removes this friction because designated engineers already know the customer’s architecture and engage in minutes without the need for repeated context-sharing.
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Scaling cloud operations capabilities alongside modernization efforts. Interviewees’ organizations needed to scale cloud operations capabilities while simultaneously executing complex modernization programs. Cloud teams often faced competing priorities, including migrations, modernization initiatives, cost optimization efforts, security requirements, AI projects, resiliency improvements, and ongoing incident management. Expanding internal staffing alone was not always a practical solution because their organizations would still struggle to maintain specialized expertise across the growing AWS service portfolio.
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Strengthening operational readiness for business-critical events. Interviewees also described challenges preparing for major launches, migrations, and peak demand events. These activities required extensive coordination, architectural validation, scalability testing, resiliency planning, and operational readiness assessments. Existing support models often did not provide the depth of expertise or level of engagement necessary to support these high-stakes initiatives effectively. The engineering manager at a travel organization shared: “We wanted a much closer relationship with AWS. We wanted to have stronger context.”
Investment Objectives
The interviewees’ organizations searched for a solution that could:
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Reduce MTTE and MTTR for critical incidents.
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Increase application availability and workload resiliency.
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Expand cloud operations capacity and access to AWS expertise.
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Improve readiness for and execution of major launches, migrations, and peak demand events.
Key Stakeholders Who Work With AWS Unified Operations
Interviewees reported that AWS Unified Operations was most frequently used by cloud engineering, platform engineering, operations, architecture, and reliability teams responsible for operating and optimizing AWS environments. These teams worked directly with AWS designated support engineers, cloud architects, service specialists, and subject matter experts to support incident management, cloud modernization, architecture planning, launch readiness, workload optimization, and operational resilience initiatives.
The most common stakeholders included:
Cloud engineering and cloud operations teams. Leveraged AWS specialists to support incident management, workload reviews, resiliency improvements, and ongoing cloud operations.
Cloud architects and platform architects. Engaged AWS experts during architecture reviews, modernization efforts, migration planning, and technology evaluations.
Site reliability engineering, operations, and incident management teams. Worked with AWS specialists during critical incidents and operational reviews.
FinOps teams. Collaborated with AWS experts to identify and validate cloud cost optimization opportunities.
Application and platform engineering teams. Utilized AWS expertise to support application modernization, launch readiness activities, and new AWS service adoption.
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 global B2C organization provides online sales for its consumer products in high volume. It has a strong brand, global operations, and annual revenue of $1 billion. There are approximately 5,000 employees across the company.
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Deployment characteristics. The composite organization spends more than $12 million with AWS per year for its cloud environment. It has more than 400 cloud applications running on AWS, 75 of which are business-critical. The composite organization was on an AWS Enterprise Support service plan before, with moderate incidence response maturity.
KEY ASSUMPTIONS
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$1 billion annual revenue
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5,000 employees
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$12 million annual AWS spending
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75 business-critical cloud applications
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Moderate maturity
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 | Profit protection through reduced downtime | $598,174 | $625,571 | $652,968 | $1,876,713 | $1,551,380 |
| Btr | Faster application delivery | $308,266 | $308,266 | $308,266 | $924,799 | $766,612 |
| Ctr | Operational efficiency through faster incident resolution | $114,659 | $151,908 | $158,481 | $425,048 | $348,848 |
| Dtr | Reduced expert cost with fewer business-critical incidents | $116,762 | $116,762 | $116,762 | $350,285 | $290,369 |
| Etr | Executive time savings on incident management | $14,256 | $15,444 | $15,444 | $45,144 | $37,327 |
| Ftr | Expanded capacity for cloud optimization | $280,000 | $280,000 | $280,000 | $840,000 | $696,319 |
| Total benefits (risk-adjusted) | $1,432,117 | $1,497,951 | $1,531,921 | $4,461,988 | $3,690,855 |
Profit Protection Through Reduced Downtime
Evidence and data. Interviewees reported that AWS Unified Operations protected and enabled revenue for their organizations by helping prevent business-critical incidents, reducing service disruption duration, and minimizing the business impact of outages. For organizations operating customer-facing digital platforms, transaction-processing environments, travel services, subscription platforms, and high-volume events, even brief service disruptions could result in lost transactions, abandoned purchases, delayed operations, or degraded customer experiences. As a result, improvements in application availability and recovery times directly contributed to profit protection.
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Several interviewees stated that downtime carried significant financial consequences. Their organizations quantified the business impact of outages as lost revenue, lost bookings, delayed transactions, or operational disruption. They viewed the ability to prevent incidents and more quickly restore services as an important mechanism for protecting revenue streams. Interviewees reported that AWS Unified Operations reduced revenue risk by helping prevent incidents before they occurred. Proactive reviews, workload assessments, resiliency recommendations, and specialist guidance enabled their organizations to identify operational weaknesses and scalability issues before they affected production workloads. Several interviewees indicated that AWS experts helped validate architectures, prepare systems for peak demand, and reduce the likelihood of service disruptions during critical business events. The interviewee from a healthcare organization credited AWS specialists with helping their company prepare for a major product launch by identifying scalability limitations and creating additional operational safeguards.
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For businesses where outages directly affect customer transactions, booking activity, or operational throughput, reducing recovery times translated directly into avoided revenue loss. The interviewee from a travel organization indicated that customer bookings represented the primary business metric used to quantify outage impacts. During peak periods, their organization reported processing approximately “2,000 bookings per minute.” As a result, reducing outage duration by minutes substantially reduced lost bookings and associated revenue exposure.
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Interviewees also highlighted that revenue protection extended beyond direct sales. Several noted that faster recovery and fewer incidents reduced customer churn, protected brand reputation, improved customer trust, and maintained operational continuity during critical business periods. For companies operating subscription platforms and transaction-processing environments, avoiding service disruptions helped ensure that customer purchases, subscriptions, and payments continued uninterrupted. AWS Unified Operations protected revenue by decreasing the frequency of business-critical incidents and shortening recovery times when incidents occurred. By improving service availability, accelerating access to AWS expertise, and reducing outage durations, interviewees’ organizations avoided lost transactions, protected customer activity, and maintained continuity of revenue-generating operations.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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The total annual revenue is $1 billion, 20% of which is impacted by customer-facing incidents.
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Decreased MTTE and MTTR transfer to less downtime, as do avoided incidents.
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The average profit margin for the composite is 10%.2
Risks. The scale of this benefit may vary by organization based on:
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Implementation of proactive recommendations from AWS.
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Frequency of business-critical incidents.
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Financial impact of downtime.
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Major launches and peak demand events.
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 $1.6 million.
Profit Protection Through Reduced Downtime
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Total revenue | Composite | 1,000,000,000 | 1,000,000,000 | 1,000,000,000 | |
| A2 | Average percentage of revenue impacted per customer-facing downtime event | Interviews | 20% | 20% | 20% | |
| A3 | Time saved due to better incident management with AWS Unified Operations (minutes) | (C3+C8)*C12 | 8,400 | 9,300 | 10,200 | |
| A4 | Subtotal: Protected revenue due to better incident management | A1*A2/525,600 minutes*A3 | $3,196,347 | $3,538,813 | $3,881,279 | |
| A5 | Time saved due to eliminated incidents with AWS Unified Operations (minutes) | (C1+C6)*D3 | 11,250 | 11,250 | 11,250 | |
| A6 | Subtotal: Protected revenue due to fewer incidents | A1*A2/525,600 minutes*A5 | $4,280,822 | $4,280,822 | $4,280,822 | |
| A7 | Profit margin | Research data | 10% | 10% | 10% | |
| At | Profit protection through reduced downtime | (A4+A6)*A7 | $747,717 | $781,964 | $816,210 | |
| Risk adjustment | ↓20% | |||||
| Atr | Profit protection through reduced downtime (risk-adjusted) | $598,174 | $625,571 | $652,968 | ||
| Three-year total: $1,876,713 | Three-year present value: $1,551,380 | |||||
Faster Application Delivery
Evidence and data. Interviewees reported that AWS Unified Operations helped accelerate their organizations’ application deployments, modernization initiatives, and large-scale technology programs by providing access to AWS specialists throughout planning, design, testing, and production deployment activities. Rather than delaying projects while internal teams researched unfamiliar services, validated architecture decisions, or waited for support escalations, their organizations leveraged AWS experts to identify correct technical approaches early in the process, resolve deployment blockers, and reduce the risk of production failures. As a result, interviewees’ organizations brought new capabilities to market faster while reducing the engineering effort required to support launch readiness activities.
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Several interviewees indicated that AWS Unified Operations enabled their internal teams to avoid lengthy periods of research and experimentation when adopting new AWS services or implementing architectural changes. Instead of assigning engineers to spend months developing expertise in specific technologies, their organizations gained direct access to AWS specialists who provided guidance based on their experience supporting similar workloads. This reduced project delays and allowed engineering teams to focus on implementation rather than investigation. The VP of cloud and data engineering at a financial technology organization explained: “For services where we don’t have experience, [AWS specialists] already know everything. We skip the research entirely.”
Interviewees further reported that AWS specialists accelerated architectural decision-making and helped their teams move projects through design and validation stages more efficiently. They described situations where AWS experts provided recommendations that avoided costly redesign efforts and identified solutions that internal teams would have taken substantially longer to discover independently. The VP of cloud and data engineering at a financial technology organization described a multiregion infrastructure initiative that had previously stalled because of cost concerns and architectural uncertainty. After engaging AWS experts, their organization identified a new approach that was “10 times cheaper” and was able to move forward with implementation. -
Interviewees also reported measurable reductions in project timelines when AWS specialists helped evaluate workloads and identify optimal configurations. The VP of cloud and data engineering at a financial technology organization described an OpenSearch optimization initiative that had remained on the backlog because internal teams lacked the expertise and capacity required to complete it. AWS specialists analyzed the environment, delivered recommendations, and reduced analysis efforts from several months to weeks. They estimated that the overall project timeline was shortened to approximately three months while avoiding the need to divert resources from other priorities.
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Interviewees further indicated that avoiding launch delays generated labor savings and revenue benefits. Engineering teams spent less time researching technologies, troubleshooting deployment issues, and redesigning architectures, reducing the labor required to bring applications into production. At the same time, their organizations captured business value sooner by delivering new products, features, and customer-facing capabilities earlier than they otherwise could have.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Every year, there are approximately 10% more new application launches. Before AWS Unified Operations, 50% of the application launches faced delays. On average, each launch could be delayed for 20 days.
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With AWS Unified Operations, the delays decrease to 5% of total application launches.
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An average of five internal experts work on each new application launch.
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Based on the composite’s annual revenue and the number of business-critical applications, the average revenue generated by each new application is around $9,132 per day.
Risks. The scale of this benefit may vary by organization based on:
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The complexity of the application being launched.
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Organizational decision-making bottlenecks.
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An organization’s business model.
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 $767,000.
90%
Potential application launch delays avoided
Faster Application Delivery (risk-adjusted)
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | New application launches | Composite | 8 | 8 | 8 | |
| B2 | Potential application launch delays before AWS Unified Operations | Interviews | 50% | 50% | 50% | |
| B3 | Average delay per application launch (business days) | Interviews | 20 | 20 | 20 | |
| B4 | Potential application launch delays with AWS Unified Operations | Interviews | 5% | 5% | 5% | |
| B5 | Avoided delays with AWS Unified Operations (business days) | (B2-B4)*B1*B3 | 72 | 72 | 72 | |
| B6 | Experts working on application launches | Composite | 5 | 5 | 5 | |
| B7 | Average fully burdened hourly rate for an IT expert | Research data | $96.10 | $96.10 | $96.10 | |
| B8 | Experts time savings on new application launches with AWS Unified Operations | B5*B6*B7*8 hours | $276,768 | $276,768 | $276,768 | |
| B9 | Average revenue generated per new application per day | Composite | $9,132 | $9,132 | $9,132 | |
| B10 | Profit margin | Research data | 10% | 10% | 10% | |
| B11 | Increased profit with on time launch | B5*B9*B10 | $65,750 | $65,750 | $65,750 | |
| Bt | Faster application delivery (risk-adjusted) | B8+B11 | $342,518 | $342,518 | $342,518 | |
| Risk adjustment | ↓10% | |||||
| Btr | Faster application delivery (risk-adjusted) (risk-adjusted) | $308,266 | $308,266 | $308,266 | ||
| Three-year total: $924,799 | Three-year present value: $766,612 | |||||
Operational Efficiency Through Faster Incident Resolution
Evidence and data. Interviewees reported that AWS Unified Operations improved incident response performance at their organizations by reducing the time required to engage AWS experts and accelerating cloud-related issue identification and resolution. These improvements reduced the amount of time that engineers, operations teams, and senior leaders spent managing incidents, allowing them to focus on remediation rather than escalation and coordination activities.
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Before adopting AWS Unified Operations, interviewees’ organizations commonly relied on traditional support processes that required multiple escalations before reaching the appropriate AWS specialist. Teams often spent substantial time providing infrastructure context, explaining symptoms, and navigating support channels before productive troubleshooting could begin. This delayed engagement extended outage durations and increased the number of internal personnel required to support incident response efforts. The director of cloud engineering at an airline explained, “We had to go through a standard ticket, and that ticket would sometimes takeup to an hour to get to the right person.” Interviewees reported that AWS Unified Operations reduced these delays by providing direct access to designated support resources and faster escalation to service specialists. As a result, AWS experts could engage more quickly with the appropriate context and begin contributing to resolution efforts sooner.
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Mean Time To Engage (MTTE) measures the average time between when a critical incident is identified and when the appropriate support resources are actively engaged in the response effort. Organizations reported that AWS Unified Operations reduced delays by providing direct access to designated support resources and faster escalation to service specialists. As a result, AWS personnel could engage more quickly with the appropriate context and begin contributing to resolution efforts sooner. Several interviewees provided quantitative evidence of reductions in MTTE. The director of cloud engineering at an airline measured MTTE between incident initiation and AWS engagement and reported that AWS Unified Operations reduced the average engagement time from between 15 and 30 minutes to 3.8 minutes after onboarding workloads into AWS Unified Operations. The director of engineering at the healthcare also observed improvements in response times for business-critical incidents. They reported that the average response time for critical support engagements decreased from between 10 and 12 minutes to between 2 and 3 minutes after implementing AWS Unified Operations capabilities.
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Interviewees further reported that faster engagement translated into shorter troubleshooting cycles and reduced overall incident management effort. Mean Time To Resolve (MTTR) measures the average time required to fully restore service and resolve a critical incident after it has been identified. In some cases, AWS specialists identified root causes significantly faster than internal teams could have independently. The director of engineering at a healthcare organization described a critical outage in which an AWS Unified Operations specialist isolated the problem within minutes, avoiding prolonged investigation by internal engineers. The director of engineering at a healthcare organization described a critical outage in which an AWS Unified Operations specialist isolated the root cause within minutes. Without that immediate engagement, the internal team estimated they would have spent at least an additional hour diagnosing the issue.
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Interviewees associated these improvements with a reduction in labor investment during incident response. Faster escalation and diagnosis decreased the number of personnel required to participate in troubleshooting activities and reduced the duration of incident calls. The director of cloud engineering at an airline highlighted the resource intensity of major incidents and identified faster engagement as a mechanism for reducing labor costs associated with prolonged troubleshooting efforts: “I’ve already deployed 300 people on an incident call. That’s a very expensive call.” The reductions in MTTE and MTTR directly translated into savings for technical and business resources.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Before adopting AWS Unified Operations, the average MTTE was 15 minutes for incident response. With AWS Unified Operations, the MTTE decreases to 5 minutes on average.
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The MTTR decreases from 60 minutes before AWS Unified Operations to 42 minutes in Year 1, 39 minutes in Year 2, and 36 minutes in Year 3 with AWS Unified Operations. The annual decreases are driven by the deeper understanding of the composite organization’s IT stack, as well as the cooperation and strategic engagement between AWS and the composite organization.
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The number of internal IT experts involved in the incident response decreases from 10 before AWS Unified Operations to eight in Year 1 and six in Years 2 and 3 with AWS Unified Operations. The decrease is enabled by the better understanding of the environment of AWS team, as well as the deeper relationship between the composite organization and AWS.
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The composite experiences 300 business-critical incidents per year. The average fully burdened hourly rate for an IT expert is $96.3
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In TEI studies, the productivity recapture rate measures the percentage of time savings that is converted into productive work that creates measurable business value. For IT experts, the productivity recapture is assumed to be 80%.
Risks. The scale of this benefit may vary by organization based on:
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Degree of workload onboarding to AWS Unified Operations.
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Incident volume and operational complexity.
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Existing incident response maturity.
Results. To account for these risks, Forrester adjusted this benefit downward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $349,000.
40%
MTTR improvement
Operational Efficiency Through Faster Incident Resolution
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | Incident team MTTE before AWS Unified Operations (in minutes) | Interviews | 15 | 15 | 15 | |
| C2 | Incident team MTTE with AWS Unified Operations (in minutes) | Interviews | 5 | 5 | 5 | |
| C3 | Reduction in MTTE with AWS Unified Operations | C1-C2 | 10 | 10 | 10 | |
| C4 | Experts involved | Interviews | 5 | 5 | 5 | |
| C5 | Subtotal: Total labor time reduction with lower MTTE (in hours) | C3*C4/60minutes | 0.83 | 0.83 | 0.83 | |
| C6 | MTTR before AWS Unified Operations (in minutes) | Interviews | 60 | 60 | 60 | |
| C7 | MTTR with AWS Unified Operations (in minutes) | Interviews | 42 | 39 | 36 | |
| C8 | Reduction in MTTR with AWS Unified Operations (in minutes) | C6-C7 | 18 | 21 | 24 | |
| C9 | Experts involved before AWS Unified Operations | Interviews | 10 | 10 | 10 | |
| C10 | Experts involved with AWS Unified Operations | Interviews | 8 | 6 | 6 | |
| C11 | Subtotal: total expert labor time reduction with lower MTTR (in hours) | (C6*C9-C7*C10)/60minutes | 4.40 | 6.10 | 6.40 | |
| C12 | Business-critical incidents with AWS Unified Operations | Composite | 300 | 300 | 300 | |
| C13 | Average fully burdened hourly rate for an IT expert | Research data | $96.10 | $96.10 | $96.10 | |
| C14 | Productivity recapture | TEI methodology | 80% | 80% | 80% | |
| Ct | Operational efficiency through faster incident resolution | (C5+C11)*C12*C13*C14 | $120,694 | $159,903 | $166,822 | |
| Risk adjustment | ↓5% | |||||
| Ctr | Operational efficiency through faster incident resolution (risk-adjusted) | $114,659 | $151,908 | $158,481 | ||
| Three-year total: $425,048 | Three-year present value: $348,848 | |||||
Reduced Expert Cost With Fewer Business-Critical Incidents
Evidence and data. Interviewees reported that AWS Unified Operations helped reduce their organizations’ likelihood of business-critical incidents by strengthening operational readiness, increasing visibility into potential issues, and providing proactive access to AWS expertise. Rather than focusing solely on accelerating incident response after an outage, their organizations increasingly used AWS Unified Operations to identify resiliency gaps, validate architectures, stress-test critical workloads, and proactively address operational risks before they resulted in business disruption.
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Several interviewees explained that their previous operating model was largely reactive. Their teams monitored alarms and logs but often waited until a problem emerged before investigating or escalating it. AWS Unified Operations introduced proactive reviews, reverse escalation processes, and specialist guidance tailored to each workload. These measures enabled organizations to identify and address issues before they became customer-impacting incidents. The director of cloud engineering at an airline reported that one of the most valuable aspects of AWS Unified Operations was proactive alerting. AWS monitored customer environments and notified teams when it detected potential issues before they escalated into outages. During the measurement period, AWS generated approximately 13 proactive alerts, four of which prompted the organization to initiate incident reviews and verify service health before a business impact occurred.
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Interviewees also reported that AWS Unified Operations improved workload resiliency by identifying infrastructure weaknesses and architectural gaps before they led to incidents. AWS specialists reviewed critical applications and recommended resiliency improvements, disaster recovery enhancements, monitoring changes, workload placement adjustments, and infrastructure modifications designed to reduce operational risk.
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Interviewees also described how direct access to AWS specialists helped prevent operational issues by providing expert guidance during architecture design, modernization initiatives, and production changes. Rather than discovering problems after deployment, their organizations validated decisions before implementation and avoided introducing risks into production environments.
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Additionally, interviewees reported that incident volumes remained stable or declined despite growing cloud footprints and increasing operational complexity. The director of engineering at a healthcare organization observed that the number of critical incidents remained flat or decreased while engineering activity and production workloads grew. Similarly, interviewees whose organizations adopted AWS Unified Operations during large-scale modernization efforts indicated that specialist reviews and proactive operational support reduced the probability of introducing new operational risks as cloud environments evolved.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Before adopting AWS Unified Operations, the composite experiences an average of one incident every two months for each business-critical application. Every year, there are 450 business-critical incidents reported. With AWS Unified Operations, the composite avoids 150 incidents.
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The composite saves internal IT expert time of 15 minutes on MTTE and 60 minutes on MTTR per avoided incident.
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The productivity recapture rate is assumed to be 80% for internal IT experts.
Risks. The scale of this benefit may vary by organization based on:
-
Adoption of AWS recommendations.
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Maturity of existing operations.
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Completeness of workload onboarding.
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Existing AWS knowledge gaps.
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 $290,000.
33%
Decrease in business-critical incidents
Reduced Expert Cost With Fewer Business-Critical Incidents
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| D1 | Business-critical incidents before AWS Unified Operations | Composite | 450 | 450 | 450 | |
| D2 | Business-critical incidents with AWS Unified Operations | C12 | 300 | 300 | 300 | |
| D3 | Reduction in business-critical incidents with AWS Unified Operations | D1-D2 | 150 | 150 | 150 | |
| D4 | Labor time saved per incident (minutes) | C1*C4+C6*C9 | 675 | 675 | 675 | |
| D5 | Productivity recapture | TEI methodology | 80% | 80% | 80% | |
| Dt | Reduced expert cost with fewer business-critical incidents | D3*D4/60 minutes*C13*D5 | $129,735 | $129,735 | $129,735 | |
| Risk adjustment | ↓10% | |||||
| Dtr | Reduced expert cost with fewer business-critical incidents (risk-adjusted) | $116,762 | $116,762 | $116,762 | ||
| Three-year total: $350,285 | Three-year present value: $290,369 | |||||
Executive Time Savings On Incident Management
Evidence and data. Interviewees reported that AWS Unified Operations reduced the need for executives and senior technical leaders to participate directly in incident response activities. Faster access to AWS specialists, improved escalation paths, and greater availability of service-specific expertise allowed incident management teams to resolve issues without routinely involving vice presidents, directors, architects, and other senior stakeholders. As a result, executive time was redirected from operational firefighting toward strategic initiatives, modernization efforts, and business priorities.
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Before AWS Unified Operations, interviewees’ organizations often escalated significant incidents to the most experienced leaders because operational teams lacked direct access to AWS expertise. These incidents frequently required senior personnel to join troubleshooting calls, provide institutional knowledge, coordinate technical investigations, and engage with AWS support on behalf of engineering teams. The VP of cloud and data engineering at a financial technology organization described the pre-AWS Unified Operations environment: “Incidents would turn into all-hands calls. We’d pull in every expert, every VP ... all just to figure out what the problem was.” After adopting AWS Unified Operations, operational teams engaged AWS specialists directly when infrastructure-related issues arose. Rather than escalating incidents internally to senior leaders, operations personnel could collaborate directly with AWS engineers who possessed the required service expertise and context. This reduced the need for executive involvement in day-to-day incident management.
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Interviewees emphasized that improving access to AWS expertise enabled senior personnel to spend less time supporting incident investigations and more time advancing strategic initiatives. Several organizations were simultaneously pursuing cloud modernization, AI initiatives, platform transformation efforts, resiliency programs, and FinOps activities, making executive and technical leadership capacity particularly valuable. The VP of cloud and data engineering at a financial technology organization specifically noted that AWS Unified Operations removed the need to divert senior resources away from other priorities. They said, “I don’t have to put aside other projects to make them a priority.”
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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Before AWS Unified Operations, 50% of incidents need senior leadership or executive involvement. With AWS Unified Operations, this percentage decreases to 15% in Year 1 and 10% in Years 2 and 3.
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On average, each incident requires 1 hour of executive time.
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The average fully burdened hourly rate for an executive is $176. The productivity recapture rate is assumed to be 50%.
Risks. The scale of this benefit may vary by organization based on:
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Existing incident governance model.
-
Complexity of the environment.
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 $37,000.
Up to 80%
Decrease in incidents needing executive involvement
Executive Time Savings On Incident Management
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| E1 | Percentage of incidents needing executive involvement before AWS Unified Operations | Interviews | 50% | 50% | 50% | |
| E2 | Percentage of incidents needing executive involvement with AWS Unified Operations | Interviews | 15% | 10% | 10% | |
| E3 | Reduction in incidents that require executive involvement | E1*D1-E2*D2 | 180 | 195 | 195 | |
| E4 | Executive time involvement per incident (hours) | Composite | 1 | 1 | 1 | |
| E5 | Average fully burdened hourly rate for an executive | Composite | $176 | $176 | $176 | |
| E6 | Productivity recapture | TEI methodology | 50% | 50% | 50% | |
| Et | Executive time savings on incident management | E3*E4*E5*E6 | $15,840 | $17,160 | $17,160 | |
| Risk adjustment | ↓10% | |||||
| Etr | Executive time savings on incident management (risk-adjusted) | $14,256 | $15,444 | $15,444 | ||
| Three-year total: $45,144 | Three-year present value: $37,327 | |||||
Expanded Capacity For Cloud Optimization
Evidence and data. Interviewees reported that AWS Unified Operations replaced the single Technical Account Manager model with a persistent, multidisciplinary team — including support engineers, cloud architects, FinOps experts, and service-specific specialists — who operated as an extension of the interviewees’ engineering organization. These experts developed working knowledge of each organization’s workloads, architecture, and operational patterns, expanding technical capacity without additional hiring and enabling teams to make decisions, resolve issues, and execute initiatives more effectively.
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Several interviewees noted that modern AWS environments had grown too complex for their organizations to maintain deep expertise across every AWS service internally. As cloud estates expanded, interviewees’ organizations increasingly relied on AWS specialists to supplement internal capabilities and provide knowledge that would otherwise be difficult or costly to develop internally. The senior director of cloud engineering at an IT organization stated: “AWS has a thousand-plus services, and we use close to 900 services. I cannot have a subject matter expert for each service sitting here.”
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Interviewees further reported that AWS Unified Operations provided access to expertise that extended beyond incident management. They leveraged AWS specialists for architecture reviews, cloud optimization projects, infrastructure design decisions, migration planning, AI initiatives, FinOps activities, resiliency improvements, and launch readiness reviews. Rather than conducting independent research or building expertise through trial and error, their teams were able to consult specialists who possessed direct operational experience with the relevant AWS services. The VP of cloud and data engineering at a financial technology organization reported that AWS specialists identified cost, performance, and architectural improvements at a granular level, down to S3 buckets; these were insights that internal teams had not previously recognized.
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Several interviewees emphasized that AWS Unified Operations enabled their organizations to access multiple experts at the same time, allowing teams to address complex problems that crossed service boundaries. Rather than depending on a single internal specialist, they could engage experts across multiple AWS domains as needed. Interviewees also reported receiving specialized expertise that would have been difficult to justify as full-time hires. For example, the VP of cloud and data engineering at a financial technology organization described how AWS provided access to FinOps specialists and OpenSearch experts who supplemented a relatively small internal operations team. They estimated that replicating some of this capability internally would have required hiring additional staff and spending months building expertise. Similarly, the director of engineering at a healthcare organization described the value of maintaining access to a broad AWS expert network: “You’re going to have to pay somebody $200K a year to be that expert in-house. And then you need a separate person for each service.”
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Interviewees also highlighted the strategic value of consulting AWS specialists during modernization initiatives and emerging technology programs. These specialists helped evaluate service options, validate designs, recommend operational improvements, and accelerate technical decision-making across projects. This involvement reduced the burden on internal teams and increased confidence that architectures would scale and operate effectively in production environments.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
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AWS Unified Operations provides the equivalent of additional cloud architects, cloud operations engineers, incident managers, developers, and FinOps specialists to the composite organization to support its cloud environment optimization. The total expert equivalent equals 1.75 FTEs.
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The average fully burdened annual salary for these experts is $200,000.
Risks. The scale of this benefit may vary by organization based on:
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Utilization of AWS experts.
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Internal AWS knowledge gaps.
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Breadth and complexity of AWS usage.
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 $696,000.
Expanded Capacity For Cloud Optimization
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| F1 | Cloud architect equivalent support from AWS | Interviews | 0.50 | 0.50 | 0.50 | |
| F2 | Cloud operations engineer equivalent support from AWS | Interviews | 0.50 | 0.50 | 0.50 | |
| F3 | Incident manager equivalent support from AWS | Interviews | 0.25 | 0.25 | 0.25 | |
| F4 | Developer equivalent support from AWS | Interviews | 0.25 | 0.25 | 0.25 | |
| F5 | FinOps equivalent support from AWS | Interviews | 0.25 | 0.25 | 0.25 | |
| F6 | Total expert equivalent support from AWS | F1+F2+F3+F4+F5 | 1.75 | 1.75 | 1.75 | |
| F7 | Average fully burdened annual salary for experts | Composite | $200,000 | $200,000 | $200,000 | |
| Ft | Expanded capacity for cloud optimization | F6*F7 | $350,000 | $350,000 | $350,000 | |
| Risk adjustment | ↓20% | |||||
| Ftr | Expanded capacity for cloud optimization (risk-adjusted) | $280,000 | $280,000 | $280,000 | ||
| Three-year total: $840,000 | Three-year present value: $696,319 | |||||
Unquantified Benefits
Benefits that provide value for the composite organization but are not quantified for this study include:
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Improved operational maturity and a shift toward proactive operations. Interviewees frequently described a transition from reactive cloud operations toward a more proactive operating model. Before AWS Unified Operations, their organizations often focused on responding to incidents after they occurred. AWS Unified Operations enabled them to identify risks earlier, monitor leading indicators of potential issues, and adopt operational practices that emphasized prevention rather than reaction.
For the composite organization, AWS Unified Operations provides a framework for developing a more proactive operational culture. Teams gain earlier visibility into infrastructure risks, resiliency gaps, and workload weaknesses, which helps reduce firefighting and strengthens overall cloud governance. Over time, organizations may experience fewer operational surprises, improved service management practices, and greater confidence in day-to-day operations. -
Greater confidence to pursue innovation and modernization initiatives. Several interviewees reported that AWS Unified Operations gave engineering teams greater confidence in pursuing modernization, transformation, AI, and cloud-native initiatives because AWS expertise was readily available when unfamiliar technologies or architectural questions emerged. Rather than delaying projects because of uncertainty, teams were more willing to move forward knowing that expert guidance was available.
For the composite organization, the availability of AWS specialists reduces uncertainty when evaluating new technologies and accelerates adoption of strategic cloud initiatives. This can help organizations modernize more aggressively, introduce new capabilities with greater confidence, and pursue innovation opportunities that might otherwise be delayed. -
Improved organizational learning and internal capability development. Interviewees consistently reported that AWS Unified Operations did more than solve problems; it helped internal teams develop expertise. Working directly with AWS specialists transferred knowledge to internal engineers, strengthened cloud skills, and improved organizations’ overall technical capabilities. The senior director of cloud engineering at an IT organization shared: “Our documentation has improved. Knowledge across the team has improved.”
For the composite organization, repeated interactions with AWS specialists raise the knowledge level of the engineering organization over time. Teams become more proficient with AWS services, adopt best practices more rapidly, and build stronger cloud engineering capabilities. -
Increased confidence in business-critical cloud operations. Many interviewees emphasized the peace of mind and operational confidence created by having experienced AWS resources readily available. This confidence was particularly valuable for organizations operating mission-critical workloads, supporting major launches, or serving revenue-generating, customer-facing platforms. Rather than facing challenges alone, their organizations felt they had a trusted partner available to support planning, problem resolution, and operational decision-making.
For the composite organization, AWS Unified Operations provides confidence that expertise is available when needed. This can strengthen stakeholder trust, improve leadership confidence in cloud operations, and reduce organizational anxiety for major releases, migrations, and operational events.
Flexibility
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement AWS Unified Operations and later realize additional uses and business opportunities, including:
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Accelerate adoption of AI and advanced AWS services. By establishing direct access to AWS specialists and service experts, the composite organization creates a foundation for adopting emerging technologies such as AI, machine learning, analytics, and agentic applications. Rather than building expertise independently, teams can leverage AWS experts to evaluate architectures, select services, and guide implementation efforts. This reduces technical uncertainty and lowers barriers to pursuing future innovation initiatives. Several interviewees described using AWS experts to support AI and machine learning initiatives that were still in development. The VP of cloud and data engineering at a financial technology organization noted that their organization relied on AWS specialists when evaluating AI projects and moving prototypes toward production-ready solutions. They shared: “We’re pursuing new projects where we’re not the experts. Instead of spending time doing the research ourselves, the team goes straight to the AWS Unified Operations team for consultation.” The composite organization may use AWS Unified Operations as a launchpad for AI-driven operations, automation, predictive analytics, and next-generation cloud-native services, enabling faster innovation and greater business differentiation.
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Strengthen enterprise cloud governance and resiliency programs. Interviewees reported that AWS Unified Operations created opportunities to systematically improve architecture standards, disaster recovery preparedness, workload resiliency, and cloud governance practices. Their organizations received workload reviews, resiliency recommendations, and architectural guidance that established a foundation for larger enterprisewide operational improvement initiatives. As organizations mature their use of AWS Unified Operations, they may choose to expand these reviews beyond incident management and use them to drive broader governance, resiliency, and cloud strategy programs.
The composite organization can build on AWS Unified Operations to support future investments in enterprise resilience, disaster recovery modernization, multiregion deployment strategies, and cloud governance programs, further reducing operational risk and strengthening business continuity.
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 |
|---|---|---|---|---|---|---|---|
| Gtr | AWS Unified Operations cost | $0 | $447,300 | $447,300 | $447,300 | $1,341,900 | $1,112,369 |
| Htr | Initial onboarding review and ongoing engagement with AWS | $169,136 | $12,685 | $12,685 | $12,685 | $207,192 | $200,682 |
| Total costs (risk-adjusted) | $169,136 | $459,985 | $459,985 | $459,985 | $1,549,092 | $1,313,051 |
AWS Unified Operations Cost
Evidence and data. Interviewees generally viewed AWS Unified Operations as a premium service that carried a recurring cost. Their organizations were willing to pay for the service because they believed the value of avoided outages, accelerated response times, and access to AWS expertise exceeded the incremental support costs.
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Large AWS customers often viewed the incremental cost as relatively modest relative to the value they expected. Several interviewees reported that their organizations were already purchasing Enterprise Support and therefore viewed AWS Unified Operations as an incremental increase rather than an entirely new expense. For these organizations, the investment decision was largely justified through access to experts, incident response benefits, and support for mission-critical environments.
-
Interviewees frequently compared the cost against the potential cost of downtime. Many interviewees framed the investment decision in terms of business risk rather than a support expense. Executives at organizations supporting revenue-generating digital services viewed the cost of AWS Unified Operations as relatively small compared with the financial impact of a major outage. Their organizations tended to evaluate AWS Unified Operations as a risk mitigation investment rather than another support expense.
-
Pricing may vary. Contact AWS for additional details.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
The pricing of AWS Unified Operations is based on the monthly total AWS spending of the organization. For the composite organization, this equals 10% of its total monthly AWS spending.
-
The composite organization upgraded its services plan from the previous service plan tier. The actual cost of AWS Unified Operations is the incremental cost between the previous plan and the new plan cost.
Risks. The impact of this cost may vary by organization depending on the following:
-
The previous services plan pricing model.
-
Future AWS pricing strategy.
-
Special discounts provided by AWS.
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 $1.1 million.
AWS Unified Operations Cost
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| G1 | AWS Unified Operations cost | Composite | $0 | $426,000 | $426,000 | $426,000 |
| Gt | AWS Unified Operations cost | G1 | $0 | $426,000 | $426,000 | $426,000 |
| Risk adjustment | ↑5% | |||||
| Gtr | AWS Unified Operations cost (risk-adjusted) | $0 | $447,300 | $447,300 | $447,300 | |
| Three-year total: $1,341,900 | Three-year present value: $1,112,369 | |||||
Initial Onboarding Review And Ongoing Engagement With AWS
Evidence and data. Beyond services fees paid to AWS, interviewees consistently described two categories of internal costs associated with AWS Unified Operations: initial onboarding and workload review effort and ongoing engagement and operational coordination with AWS teams. Most interviewees viewed the effort as manageable and justified by the value received, although several large enterprises reported that onboarding required more effort than initially expected.
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Interviewees reported that AWS Unified Operations required workload information, architecture documentation, alarm configurations, operational procedures, and monitoring data access so AWS teams could become familiar with their environments. This represented the largest internal investment required to begin using the service. The VP of cloud and data engineering at a financial technology organization explained: “The first thing was giving them access to our accounts — they needed access to the logs and alarms. We had to walk them through our workloads.” They estimated that onboarding took approximately one to two months, primarily because internal documentation and architecture information were not fully prepared.
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Large enterprises experienced higher onboarding complexity. The largest onboarding burden appeared among organizations managing hundreds of applications and distributed engineering teams. For example, the director of cloud engineering at an airline described onboarding approximately 200 Tier 0 and Tier 1 applications and reported that collecting architectural details, alarm information, and AWS resource identifiers required substantial coordination across application teams: “The application teams didn’t have this information on hand. What could have been straightforward quickly became a six-week effort.” However, after learning from the initial waves, their organization streamlined the process and substantially reduced the burden placed on application teams. Eventually, the intended workload from each application team became 2 hours. This suggests that onboarding costs were front-loaded and diminished as these organizations standardized processes and gained experience.
-
Conversely, ongoing engagement costs were generally limited. After onboarding, most interviewees reported relatively low recurring administrative requirements. The most common recurring activities included biweekly or monthly reviews, architecture discussions, workload reviews, incident follow-ups, and service optimization sessions. Interviewees often viewed engagement time as an investment rather than a cost.
Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:
-
On average, each application requires 4 hours of onboarding review time.
-
The composite organization spends 30 minutes each week with its AWS account team for general services engagement and another 2 hours per week on technical communications.
Risks. The impact of this cost may vary by organization depending on the following:
-
The number of applications onboarding AWS Unified Operations.
-
Internal documentation and IT team organization.
-
Ongoing engagement frequency with the AWS team.
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 $201,000.
Initial Onboarding Review And Ongoing Engagement With AWS
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| H1 | Initial onboarding review time required per business application (hours) | Interviews | 4 | |||
| H2 | Applications | Composite | 400 | |||
| H3 | Ongoing engagement with AWS account team per month | Interviews | 2 | 2 | 2 | |
| H4 | Ongoing engagement with AWS TAM on technical communication per month | Interviews | 8 | 8 | 8 | |
| Ht | Initial onboarding review and ongoing engagement with AWS | (H1*H2+(H3+H4)*12 months)*C13 | $153,760 | $11,532 | $11,532 | $11,532 |
| Risk adjustment | ↑10% | |||||
| Htr | Initial onboarding review and ongoing engagement with AWS (risk-adjusted) | $169,136 | $12,685 | $12,685 | $12,685 | |
| Three-year total: $207,192 | Three-year present value: $200,682 | |||||
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 | ($169,136) | ($459,985) | ($459,985) | ($459,985) | ($1,549,092) | ($1,313,051) |
| Total benefits | $0 | $1,432,117 | $1,497,951 | $1,531,921 | $4,461,988 | $3,690,855 |
| Net benefits | ($169,136) | $972,131 | $1,037,966 | $1,071,935 | $2,912,896 | $2,377,804 |
| ROI | 181% | |||||
| 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 AWS Unified Operations.
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 AWS Unified Operations can have on an organization.
Due Diligence
Interviewed AWS stakeholders and Forrester analysts to gather data relative to AWS Unified Operations.
Interviews
Interviewed six decision-makers at organizations using AWS Unified Operations 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 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.
2 Source: Stern School of Business at NYU.
3 Source: US Bureau of Labor Statistics.
Disclosures
Readers should be aware of the following:
This study is commissioned by AWS 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 AWS Unified Operations. 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 AWS Unified Operations based on the inputs provided and any assumptions made. Forrester does not endorse AWS or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, AWS 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 AWS make no warranties of any kind.
AWS 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.
AWS provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Chengcheng Dong
Published
November 2026