Microsoft Mission Critical Services Helps Digital-Native Organizations Scale Efficiently, Optimize Cloud Operations, And Accelerate Innovation

Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Mission Critical Services.¹ This abstract will focus on digital-native organizations’ use of Microsoft Mission Critical Services and its value to their organizations based on the experience of:

• A tech lead manager at an AI-native software development company developing autonomous driving technology, which is headquartered in Europe with more than 500 employees and operations across North America, Europe, and Asia Pacific. The organization relies heavily on Azure-based compute, storage, networking, and AI infrastructure to support large-scale model training and inference workloads.

Unlike traditional enterprises that are modernizing legacy systems and migrating workloads to the cloud, digital-native organizations are born in the cloud. Their challenge is not cloud adoption, but rather how to efficiently scale cloud-native environments as infrastructure requirements, application complexity, and cloud investments grow. These organizations often operate with relatively lean platform teams that must simultaneously support global expansion, infrastructure resiliency, cost optimization, and ongoing innovation.

As digital-native organizations expand, cloud infrastructure increasingly becomes a strategic business asset. Decisions related to capacity planning, networking architecture, storage design, disaster recovery, and infrastructure economics can directly affect an organization’s ability to scale and innovate. As a result, these organizations frequently seek deeper technical partnerships that provide platform engineering collaboration, continuous optimization, and long-term capacity planning.

The interviewee’s organization experienced these challenges with scaling as it rapidly expanded global Azure operations to support increasingly sophisticated AI model development. The organization manages multiple petabytes of storage, supports large GPU environments used for model training and inference, and operates across more than 10 Azure regions. As infrastructure complexity grew, Mission Critical Services became an important source of engineering expertise, Azure optimization support, and strategic capacity planning support.

Investment Drivers For Digital-Native Organizations

Digital-native organizations frequently scale infrastructure faster than they scale platform engineering teams. As cloud-native applications, AI workloads, and global operations expand, infrastructure decisions become increasingly important to long-term business success. The interviewee’s organization adopted Mission Critical Services as it significantly expanded Azure usage and sought additional expertise to support infrastructure planning, optimization, and growth.

The interviewee’s organization adopted Mission Critical Services to address several challenges common among rapidly scaling digital-native businesses, including:

• Rapid infrastructure growth increased operational complexity. The organization experienced significant growth in compute, storage, and global infrastructure requirements. Supporting increasingly large AI workloads required managing petabytes of storage, operating large GPU clusters, and deploying [what] across more than 10 Azure regions. As scale increased, engineering teams needed guidance to ensure infrastructure design decisions remained effective over the long term.

• Long-term capacity planning became critical to supporting AI workloads. Unlike traditional environments where compute resources can often be provisioned on demand, the interviewee’s organization depended on large amounts of specialized GPU infrastructure. They explained that future capacity planning became increasingly important as infrastructure requirements grew and resource availability became more constrained. As the organization reached a scale where it could not assume that capacity would be readily available, Mission Critical Services enabled closer collaboration with Microsoft to forecast future requirements, evaluate alternatives, and proactively plan for growth.

• Access to specialized Azure expertise supported critical architecture decisions. As the interviewee’s organization expanded globally, engineering teams engaged directly with Azure networking, compute, and storage specialists to discuss networking architectures, storage strategies, disaster recovery planning, and regional deployment considerations. They noted that these conversations provided expertise that would have been difficult to replicate internally and helped the organization make more informed long-term infrastructure decisions.

• Growing cloud investments increased the importance of infrastructure optimization. As Azure consumption expanded into a multimillion-dollar annual spend, even relatively small improvements in storage architecture, replication strategies, disaster recovery planning, and capacity utilization created meaningful financial impact. The interviewee’s organization sought Microsoft’s guidance to help optimize infrastructure spending while preserving resiliency, supporting future growth, and maximizing cloud investment value.

Mission Critical Services Features

The core TEI study found that organizations benefit from Mission Critical Services by accessing engineering expertise, accelerating Microsoft technology adoption, optimizing infrastructure, and engaging in strategic capacity planning. These capabilities often help digital-native organizations scale complex cloud-native environments rather than support modernization initiatives.

The interviewee’s organization chose to invest in Mission Critical Services for the following reasons:

• Direct access to Microsoft engineering expertise. Mission Critical Services enabled direct collaboration with Azure networking, storage, compute, and platform engineering teams. The interviewee described engaging Microsoft specialists to address highly specialized technical challenges, access expertise they did not have internally, and receive guidance on networking, storage, disaster recovery, and platform-scaling initiatives.

• Strategic guidance for future capacity and infrastructure planning. As AI workloads expanded, the organization worked closely with Microsoft to forecast compute, storage, and capacity requirements six to 12 months into the future. Microsoft helped evaluate capacity alternatives, regional availability, and growth scenarios to ensure infrastructure plans aligned with future demand and Azure availability.

• Infrastructure optimization and architectural design support. Microsoft engineering teams provided guidance on storage tiering, replication strategies, networking architectures, and disaster recovery planning. These engagements helped the interviewee’s organization design solutions capable of supporting future scale while improving resiliency and long-term cloud economics.

• Access to emerging capabilities and engineering collaboration. Mission Critical Services provided opportunities to evaluate private preview capabilities and engage directly with engineering teams working on future Azure innovations. The interviewee highlighted engagements involving Kubernetes Hyperscale capabilities and collaborative open-source initiatives, creating opportunities to influence future platform capabilities and prepare for future scaling requirements.

Key Results For Digital-Native Organizations

The results of the investment for the interviewee’s organization include:

Scaled cloud infrastructure efficiently while maintaining a lean engineering organization. Digital-native organizations rely on cloud infrastructure as the foundation of their products and services. As these organizations grow, platform teams are often expected to support increasing volumes of compute, storage, and geographic complexity without proportional increases in headcount. The core TEI study found that Mission Critical Services helps organizations improve operational efficiency through engineering expertise, architectural collaboration improvements with Microsoft Cloud Solution Architects, and infrastructure support. For digital-native organizations, those efficiencies frequently manifest through the ability to support significantly larger cloud environments while maintaining relatively lean engineering teams.

The interviewee described Mission Critical Services as an important force multiplier that helped scale AI infrastructure, support global expansion, and manage increasing complexity without proportionally expanding the platform team. It specifically allowed the organization to:

• Support five times growth in compute and storage infrastructure with only one-and-a-half times growth in platform team headcount. Over the evaluation period, the organization’s compute and storage environment expanded by five times while the platform team grew by only one-and-a-half times. According to the interviewee, access to Azure expertise across storage, networking, disaster recovery, and capacity planning allowed the organization to absorb significant infrastructure growth without building equivalent expertise internally.

• Enable a relatively small platform team to support increasingly complex global operations. The organization operates across more than 10 Azure regions and manages multiple petabytes of storage supporting large-scale AI training and inference workloads. The interviewee explained that Microsoft engineering specialists helped address scaling challenges and infrastructure questions that would otherwise have required significant internal investigation and effort.

• Improve long-term capacity planning for AI infrastructure. As demand for GPU capacity increased, the organization worked closely with Microsoft teams to evaluate future requirements and alternative deployment options. The interviewee noted that planning for hundreds and thousands of GPUs required a level of collaboration that would have been difficult to achieve through traditional support channels alone.

• Support continued business growth with greater confidence. Microsoft engineering teams helped the interviewee’s organization evaluate future infrastructure requirements as Azure consumption expanded globally. This guidance became increasingly valuable as infrastructure decisions carried larger operational and financial implications.

Improved cloud cost efficiency infrastructure optimization and informed architectural decisions. The core TEI study identified optimized Azure infrastructure spending as one of the largest quantified benefits associated with Mission Critical Services. For digital-native organizations, cloud infrastructure often represents a substantial operating expense, making architecture decisions related to storage, replication, and disaster recovery increasingly important as environments scale.

The interviewee explained that Mission Critical Services helped improve long-term infrastructure economics by providing direct access to Azure Storage Engineering during storage optimization and disaster recovery initiatives. These features enabled the organization to:

• Reduce storage-related costs by 15%, generating several million dollars in annual savings while strengthening disaster recovery capabilities. Before the initiative, the organization stored significant volumes of data in higher-cost storage tiers and was evaluating how to support long-term disaster recovery requirements. With Mission Critical Services, it refined storage tiering, replication strategies, and disaster recovery architecture. These efforts reduced storage-related costs by 15%, generated several million dollars in annual savings, and enabled secondary-region replication capabilities required for disaster recovery. According to the interviewee, Microsoft engineering guidance was instrumental in key decisions related to replication strategy and disaster recovery design.

• Create long-term economic benefits that grow with infrastructure scale. Because the organization incorporated these improvements directly into its platform architecture, the interviewee said they expect the associated savings to continue as storage volumes and infrastructure usage expand. And as the organization grows, they expect the impact of those architecture decisions to become increasingly valuable.

Accelerated growth initiatives while reducing architectural risk. The core TEI study found that Mission Critical Services helps organizations accelerate technology initiatives, improve resiliency, and support strategic business outcomes. For digital-native organizations, these benefits frequently appear through stronger infrastructure decisions, reduced rework, faster strategic launch execution, and direct access to Microsoft engineering expertise during periods of rapid growth.

The interviewee described Mission Critical Services as a valuable source of engineering guidance during networking, disaster recovery, capacity planning, and go-live activities. These engagements helped the organization avoid costly mistakes, strengthen future scalability, and execute strategic initiatives more efficiently. Specifically, the organization was able to:

• Strengthen networking architecture to support future expansion. As the organization expanded into new regions, Microsoft networking specialists provided guidance on multiregion and multicloud networking strategies. The interviewee estimated that these discussions resulted in a networking design that was 20% stronger from a security and scalability perspective than the organization would likely have implemented independently. This guidance helped establish a more resilient foundation for future growth and global expansion.

• Design a disaster recovery strategy capable of supporting 10 times future storage growth. Microsoft engineering teams helped the organization evaluate disaster recovery options and select a secondary storage region capable of supporting projected growth over the next one to two years. According to the interviewee, the organization likely would not have selected a region that could support that level of growth without Microsoft guidance.

• Avoid several weeks of engineering effort and future redesign work. The interviewee estimated that architecture guidance provided through the Microsoft delivery team helped avoid several weeks of engineering effort while reducing future rework associated with networking and disaster recovery architecture decisions. These engagements enabled the organization to move forward with greater confidence in the scalability of its design choices.

• Accelerate strategic launches by 10%. While launches and new market introductions occurred infrequently rather than on a regular release cadence, the interviewee estimated that when Microsoft engineering teams participated in go-live planning and launch activities, deployments reached production 10% faster than they otherwise would have. As the organization began supporting customer-facing deployments with OEM partners across regions such as North America and Asia Pacific, Microsoft teams provided guidance on capacity planning and regional infrastructure requirements to help ensure launch readiness and support local demand. The interviewee noted that the impact was meaningful because of the scale and strategic importance of individual launches.

• Enable earlier access to innovation and help shape future capabilities. Through Mission Critical Services, the organization gained access to preview capabilities and direct relationships with Microsoft engineering teams. The interviewee described collaborating with Azure engineering and open-source teams to evaluate emerging capabilities and provide input that could influence future product direction, helping prepare for future scaling requirements.