This article is based on a piece originally published on InformationWeek. The analysis and examples below expand on the original themes for a DevOps engineering audience.
The Digital Transformation Gap
Many organizations are deep into “digital transformation” programs—virtualizing infrastructure, migrating to cloud, tightening security, and enabling workforce mobility. Throw in AI and machine learning, and the roadmap looks impressive on paper. But a persistent problem undermines even the best-intentioned initiatives: fragmentation.
The headline projects attract investment and attention. What gets overlooked are the hard-to-modernize applications, entangled services, aging databases, and what can only be called legacy cloud—cloud deployments that were cutting-edge five years ago but are now rigid, under-automated, and difficult to extend. These components are the real blockers to becoming a genuinely digital organization.
Where DevOps Fits Into the Picture
DevOps has moved well past early-adopter status. Adoption is broad across enterprise organizations, and analyst coverage from firms such as Forrester and Gartner confirms that DevOps investment is now mainstream rather than experimental. The business case is clear: faster delivery cycles, reduced deployment risk, and better collaboration between development and operations teams.
Yet adoption does not automatically translate into results. George Spafford, research director at Gartner, captured the core difficulty well:
“DevOps challenges conventional IT thinking with its lack of a standard definition and approach, its constant evolution, and its requirement for acceptance and management of risk. This imprecise target state has caused many IT organizations to hesitate in implementing a DevOps strategy.”
George Spafford, Research Director, Gartner
In other words, the biggest obstacle to DevOps value is often not tooling or budget—it is uncertainty about where and how to begin. The sections below ground DevOps in three concrete scenarios where it delivers the most leverage for organizations on a digital journey.
Scenario 1: Modernizing Legacy Applications Without Rip-and-Replace
Almost every organization carries at least one legacy application that still functions but resists integration with modern services. The application may be custom-built, undocumented, or dependent on infrastructure that cannot easily be changed. The instinctive responses—scrap it entirely or buy a proprietary replacement—are expensive and disruptive.
A mature DevOps approach offers a third path: application abstraction. Rather than replacing the application wholesale, a DevOps architect will decompose it into its functional layers—code logic, backend services, data interactions, database dependencies, and user-facing components. Custom APIs can then be built around the application to extract and expose data, feeding it into new development pipelines or modern services without requiring the core application to change on day one.
This is structurally similar to how experienced teams handle virtualization migrations:
- Stage: Build the new environment in parallel with the existing one.
- Migrate incrementally: Move services, workloads, or data in controlled batches.
- Test with real users: Validate functionality before cutting over fully.
- Iterate: Repeat until the legacy dependency is reduced or eliminated.
The result is a non-disruptive, iterative upgrade path. The business keeps running on the existing system while a modern replacement is built and validated alongside it. Teams avoid the compounded risk of a single large cutover.
Scenario 2: Adopting Serverless and Modern Compute Models
One of the most practical tools in the DevOps toolkit for becoming a digital entity is serverless compute. Rather than provisioning and managing servers, developers define event triggers and write the code that should execute when those events fire. The underlying platform handles resource allocation, scaling, and teardown automatically.
Major cloud providers—AWS (Lambda), Microsoft Azure (Azure Functions), and Google Cloud Platform (Cloud Functions)—offer mature serverless platforms. The key advantages for digital transformation work include:
- Granular resource consumption: Teams pay only for the compute actually used during execution, not for idle capacity.
- Rapid iteration: Serverless functions are small, independently deployable units that align naturally with microservices architecture.
- Reduced operational overhead: Infrastructure management shifts to the cloud provider, freeing engineering time for application logic.
- Agility at scale: Event-driven architectures can absorb variable workloads without manual intervention.
Think of serverless as utility-model consumption for cloud resources. You use exactly what the task requires, when it requires it—an efficient foundation for building agile, digital-first capabilities without the overhead of traditional infrastructure management.
Scenario 3: Aligning DevOps With Business Outcomes
Technology improvements mean little if they are disconnected from business objectives. This is a common failure mode: teams adopt DevOps practices, improve pipeline velocity, and reduce deployment friction—but cannot articulate the business impact. Without that connection, DevOps initiatives are vulnerable to budget cuts and organizational skepticism.
Gartner research has indicated that a significant proportion of CEOs rank product improvement and in-house technology capability development among their highest priorities—and that more CEOs favor building internal digital capability than outsourcing it. (See the Gartner newsroom for the underlying report.) This executive-level appetite creates an opening for DevOps teams to position their work as a direct enabler of strategic goals.
Practical steps for maintaining business alignment:
- Define success in business terms before starting. Faster releases are a means, not an end. What customer outcome, revenue impact, or risk reduction does the initiative support?
- Map DevOps metrics to business KPIs. Deployment frequency, change failure rate, and mean time to recovery are valuable internally; translate them into customer experience and operational cost terms for stakeholder communication.
- Involve business stakeholders in prioritization. The teams closest to customers should influence which capabilities are built and in what order.
- Review and adjust regularly. Continuous delivery applies to strategy as well as software. Revisit alignment at regular intervals as business priorities evolve.
Continuous innovation requires continuous alignment. DevOps teams operating as isolated technology units—however technically excellent—will ultimately struggle to demonstrate value to the broader organization.
Getting Started: You Do Not Need to Be an Expert
The DevOps landscape is broad and evolving rapidly. That breadth is not a reason to delay action—it is a reason to be deliberate about where to focus first. A few practical starting points:
- Audit your most painful application dependencies. Which legacy systems create the most friction for delivering new features or integrating with modern services? These are prime candidates for abstraction work.
- Engage architects early. Application architects, cloud architects, and experienced DevOps practitioners can assess your existing environment and define a phased modernization path—without requiring a full replacement on day one.
- Start with a bounded problem. Pick one application, one service, or one workflow. Demonstrate value in a constrained scope before scaling the approach.
- Ask the right questions about serverless and microservices. Even if your team is not ready to adopt them immediately, understanding how they differ from your current compute model helps inform longer-term architecture decisions.
The Bigger Picture
Becoming a digital entity is not a project with a completion date—it is an ongoing capability that organizations build over time. The fact that a legacy application still runs does not mean it is delivering value. If engineering teams are afraid to change the application, that fear itself is a business risk: it signals fragility, technical debt, and competitive vulnerability.
DevOps, applied thoughtfully and aligned with real business goals, provides the model and the practices to move forward without the disruption of wholesale replacement. The combination of application abstraction, modern compute models like serverless, and strong business alignment gives organizations a credible path from where they are today to where they need to be as digital entities.