This article is based on a piece originally published on devops.com and adapted for a broader DevOps engineering audience.
The Traditional IT Headwind
IT operations teams live inside a structural tension: they are cost centers, not profit centers. Budget is constrained by default, staffing is lean, and resources are justified by uptime and SLA compliance rather than by innovation velocity. Yet the same teams are expected to keep aging systems running reliably while absorbing the growing complexity of cloud, cloud-native tooling, and hybrid infrastructure.
Early adopters of DevOps, Agile, and site reliability engineering (SRE) often benefited from transformation budgets tied to high-visibility strategic projects. But that funding model leaves most traditional IT teams on the outside looking in. The practical question is: how can an IT operations team realize meaningful DevOps benefits while still operating inside a traditional organizational structure?
The answer is that you do not need to adopt all of DevOps to get most of its value. Focusing on four specific practices can move the needle significantly without requiring a full organizational overhaul.
1. Continuous Delivery: Operations Owns the Last Mile
Operations teams have always been responsible for the last mile of software delivery. They care deeply about availability, SLA compliance, and change governance. This makes them uniquely well-suited to own CI/CD pipelines—not just the build and test stages that developers typically focus on, but the final, most complex stage: continuous deployment into production.
Many DevOps blog posts underplay continuous deployment because it is genuinely hard. Getting code reliably and safely into production at scale requires exactly the skills operations teams have built over years. When ops teams invest in this stage, the payoff is concrete:
- Fewer midnight and weekend deployments. Automated, policy-driven pipelines eliminate the need for change windows at antisocial hours.
- Production-grade pipelines. Because ops teams build pipelines that are part of production itself, they are maintained and hardened rather than treated as experimental tooling.
- Embedded controls. Monitoring, security scanning, and cost governance can be baked into the pipeline automatically, making compliance a byproduct of deployment rather than a separate audit step.
- Real feedback for developers. Production metrics fed back to development teams reflect actual workload behavior—not lab or test data—enabling more accurate performance tuning.
When operations presents developers with standardized, tested deployment pipelines, the typical reaction is enthusiasm. Developers can attach their build, unit test, and packaging stages to a robust ops-managed delivery backend. The result is a shared system both teams have a stake in maintaining, and culture change becomes organic rather than mandated.
2. Start Breaking Stuff Fast: Make the Case for a Lab Environment
Developers experiment as a matter of course. Operations teams traditionally cannot—production systems demand risk aversion, and uncontrolled experiments are a change management violation waiting to happen. This creates a skills gap: ops engineers may understand the technology deeply but rarely get to disassemble and recombine systems to test ideas.
The obvious answer is a dedicated lab environment, but labs are frequently dismissed in budget discussions as duplication and waste. The way to overcome this is to frame lab investment in terms of measurable production impact:
- Collect before-and-after performance and error rate metrics for changes that were tested in the lab first versus those that were not.
- Use that data to demonstrate that realistic pre-deployment testing reduces production error rates and improves system performance.
- Present this as a risk reduction investment, not a luxury.
A lab also creates a shared space for developers and ops engineers to collaborate hands-on. Developers can use their preferred tools, probe the stack, and experiment with configuration changes. Operations gets direct insight into how developers actually work with infrastructure. This kind of shared experience builds mutual respect and practical understanding far more effectively than any workshop or team meeting.
Lab environments additionally give ops teams a safe place to evaluate new tools and architectural patterns on their own terms—separating genuine utility from vendor hype before making production commitments.
3. Monitor Your Success: Operationalizing Feedback Loops
Feedback loops are a foundational DevOps principle. Changes go into production, production generates signals, those signals guide the next round of improvements. In practice, this loop often stalls because dev and ops teams collect different metrics, use different tooling, and do not have a shared language for discussing what the data means.
Operations teams typically have deep, long-running performance datasets. Developers typically have application-level instrumentation and APM data. Neither team fully knows what the other has, and both are missing data they would find valuable. A straightforward way to close this gap:
- Bring a small, cross-functional group together—small enough that everyone can contribute meaningfully in a single session.
- Start with a blank whiteboard. Map what metrics are already collected against what each team actually needs.
- Identify gaps and agree on ownership for filling them.
Application Performance Monitoring (APM) for hybrid applications is a particularly productive area for this exercise. Operations teams can provide infrastructure-level visibility that developers lack, while developers can expose application-internal instrumentation that ops teams have never had access to. In many cases, data that developers believed was impossible to obtain has been sitting in an ops monitoring system for years, accessible via an API call.
Shared metrics also create a shared definition of success. When both teams are looking at the same signals, disagreements about system health become easier to resolve with data rather than opinion.
4. Reward Success With Big Dreams: Keep the Momentum Going
One of the quieter challenges in any sustained improvement effort is inertia after a win. Teams invest heavily, achieve a milestone, and then—naturally—take a breath. In traditional IT, with years of technical debt and deferred work, there is always a reason to declare victory and move on. DevOps, however, is explicitly a continuous practice, not a project with a completion date.
Sustaining momentum requires deliberate effort:
- Track and promote successful experiments. Document what worked and why, then share it widely. This socializes the value of experimentation and encourages others to surface ideas they have been sitting on.
- Maintain a backlog of “impossible” ideas. IT organizations are conditioned to dismiss certain improvements as infeasible. Keeping a visible list of these challenges—and periodically revisiting them as capabilities evolve—creates a culture where ambitious questions are welcomed rather than suppressed.
- Expand the metrics you track. As teams mature, performance data alone is insufficient. Business metrics tied to corporate objectives, customer satisfaction signals, change frequency, and mean time to recovery all give leadership a clearer picture of operational health and give teams better targets to optimize against.
When managers develop confidence that operations teams can safely evolve infrastructure, services, and processes without disrupting the business, a meaningful shift becomes possible: the organization gains the freedom to innovate at speed. That is the end goal of DevOps adoption for traditional IT—not the elimination of process or governance, but the ability to move faster within a framework that remains reliable.
Putting It Together: DevOps Without a Full Transformation
The four practices outlined here—CI/CD pipeline ownership, lab-based experimentation, shared monitoring and feedback loops, and sustained iterative improvement—are actionable inside a traditional IT organization without requiring executive mandate or organizational restructuring. Each one delivers value independently and creates conditions that make the next step easier.
DevOps did not originate as a developer-only movement. Its core ideas—breaking down silos, automating toil, sharing feedback, and improving continuously—apply as directly to infrastructure and operations as they do to application development. Traditional IT teams that recognize this are well positioned to benefit, and in many cases they have the skills, discipline, and production-mindset to implement these practices more robustly than greenfield teams starting from scratch.
The era of DevOps being a developer-exclusive discipline is over. Operations teams that engage on their own terms, starting with the practices that solve their real problems, will find capable and willing partners on the development side.