Original reporting: fedscoop.com (2018). This article expands on the concepts discussed at the GSA Cloud Reverse Industry Day.
DevOps Has Been the Standard — But Is It Enough?
For years, DevOps has been the dominant methodology guiding cloud adoption in both the private sector and government agencies. By breaking down silos between development (Dev) and operations (Ops) teams, organizations have been able to embrace agile development, continuous integration, and iterative testing at scale. Federal agencies in particular have built DevOps practices into their IT modernization playbooks, and the model has even extended to include security (DevSecOps) and acquisition professionals.
But at the General Services Administration’s Cloud Reverse Industry Day, industry stakeholders raised a pointed question: is DevOps really where the future lies, or is a newer model — NoOps — about to take center stage?
What Is NoOps?
NoOps — short for “No Operations” — is a cloud delivery model in which the cloud service provider takes on full responsibility for infrastructure management tasks that would traditionally fall to an organization’s internal IT or operations team. This includes patch management, lifecycle management, capacity scaling, and underlying infrastructure maintenance.
Dan Prieto, former White House Director of Cybersecurity Policy and strategic adviser for Google Cloud Public Sector at the time of the event, described the concept this way:
“Basically Google and other cloud providers are increasingly offering cloud [services] where you really don’t have to worry about the infrastructure or updating it or running code to automate patch management, lifecycle management or all of the above. It’s all handled in the background by a cloud service provider.”
— Dan Prieto, speaking at the GSA Cloud Reverse Industry Day
In practical terms, NoOps is built on on-demand, fully managed cloud infrastructure. Developers request the resources they need, and the platform handles provisioning, scaling, and maintenance automatically. The intended result is that engineering staff spend more time building and shipping software and less time managing the environment it runs in.
Where NoOps Delivers the Most Value
According to Prieto, NoOps is especially well-suited to certain workload categories:
- Application development: Developers can focus purely on writing and shipping code without provisioning or configuring servers.
- Databases: Managed database services handle patching, replication, failover, and backups automatically.
- Analytics: On-demand compute resources can scale up dynamically during intensive processing jobs and scale back down afterward.
“It allows an app developer to just code, and when they need more capacity, it automatically spins up. The environment has the tools to allow them to just focus on the coding.”
— Dan Prieto
The core promise of NoOps is eliminating the cognitive and operational overhead that slows development teams down — offloading routine infrastructure work to automation, machine learning tools, or the vendor itself.
NoOps Is Not a New Idea
The concept of NoOps was already being discussed in the industry as far back as 2011, when Forrester Research published a report exploring how it could augment DevOps practices rather than replace them outright. The framing at the time positioned NoOps as a natural evolution: as automation matured and cloud platforms became more capable, operations work would be increasingly abstracted away from internal teams.
What has changed since 2011 is the breadth and capability of managed cloud services. Serverless computing platforms, managed Kubernetes services, fully managed data pipelines, and AI-driven infrastructure monitoring have all brought the NoOps vision measurably closer to reality.
The Trade-offs: Vendor Dependence and Security Considerations
NoOps is not without significant trade-offs, particularly for government agencies operating under strict security and compliance requirements.
Handing infrastructure management — and potentially some security operations — to a cloud vendor deepens an organization’s dependence on that provider. Prieto acknowledged this directly, noting that the model creates greater reliance on vendor services, but argued the potential cost and productivity gains justify the shift in many cases.
For federal agencies, this raises specific questions about:
- Data sovereignty: Who controls where data is stored and processed?
- Security visibility: Can agencies maintain adequate security oversight when infrastructure is abstracted away?
- Vendor lock-in: How portable are workloads if an agency needs to switch providers or bring operations back in-house?
- Compliance: Can fully managed services be configured to meet federal security frameworks such as FedRAMP?
The Cost Management Challenge
Cloud adoption — whether DevOps, NoOps, or any point in between — fundamentally changes an organization’s cost model from capital expenditure to operational expenditure based on consumption. That shift places new demands on contracting officers, CIOs, and financial staff.
Jonathan Alboum, former CIO of the Department of Agriculture, offered a frank warning about the risk of unexpected cloud bills:
“[Data] overages are going to happen. I think the question is what can the vendor do to prevent it? And that’s a question you have to ask. This happened to me on the government side in multiple agencies. You get a bill from a vendor with an unexpected dollar amount that you have to pay because you used the service and suddenly that affects your plans across the enterprise to do other things. That’s the last thing you want as an operator of IT, a CIO or program manager.”
— Jonathan Alboum, former USDA CIO
The takeaway for procurement teams is clear: understanding cloud cost drivers must be a first-class concern at the contracting stage, not an afterthought discovered at invoice time.
Active Cloud Management: A Lesson from SBA
Maria Roat, CIO of the Small Business Administration, described how her agency managed a migration to a hybrid cloud model. Her experience reinforced a practical truth: even in a more automated cloud environment, governance and active monitoring remain essential.
“We’re not passively monitoring it, we’re actively monitoring and managing the environments that we have to be able to manage our spend. We have to watch what we are doing. Turn things off as it’s not being used. That’s the beauty of the cloud, you turn it off.”
— Maria Roat, SBA CIO
Roat’s approach also highlighted that a successful cloud operating model requires collaboration across organizational functions — specifically, between the CIO, the Chief Financial Officer, and acquisition staff — to align on data storage needs, budget flexibility, and the ability to scale resources up or down based on actual demand.
NoOps vs. DevOps: Evolution, Not Replacement
It is worth being precise about what NoOps does and does not mean. NoOps does not imply zero operational skill or oversight within an organization. Rather, it describes a model where the routine, repetitive, and automatable parts of infrastructure operations are delegated to the cloud platform, freeing internal teams to focus on higher-value work.
In this framing, NoOps and DevOps are not mutually exclusive. DevOps culture — emphasizing collaboration, automation, shared ownership, and continuous improvement — remains highly relevant even when many operational tasks are offloaded to a managed platform. The difference is that the operational surface area shrinks, and the skills required shift from server administration toward cloud architecture, cost governance, and platform engineering.
Organizations considering a move toward NoOps should evaluate:
- Which workloads are genuinely suited to fully managed, serverless, or PaaS-style deployment
- What internal operational capabilities they still need to retain for compliance, security, or resilience reasons
- How they will govern cloud costs in a consumption-based billing model
- What vendor lock-in risk is acceptable given their long-term architecture strategy
Key Takeaways
- NoOps is a cloud model in which the provider handles infrastructure management, freeing developers to focus on code rather than operations.
- It is best suited to application development, managed databases, and analytics workloads where on-demand scaling is most valuable.
- The concept has been discussed since at least 2011 and is being enabled by the maturation of managed cloud services, serverless platforms, and automation tooling.
- NoOps introduces greater vendor dependence, which raises real questions about security, compliance, and portability — especially in regulated sectors like government.
- Cloud cost management requires active governance, not passive monitoring, regardless of how automated the underlying infrastructure becomes.
- DevOps culture and NoOps infrastructure management are complementary, not competing philosophies.