This article is based on commentary originally published by TechRepublic, featuring insights from Justin Rodenbostel, DevOps practice leader at SPR Consulting.
DevOps adoption continues to grow across enterprises, and the reasons are well-documented: when development and operations teams work in genuine alignment, organizations see faster deployments, fewer production incidents, and stronger employee engagement. Yet many implementations stall because teams focus on acquiring tools—Chef, Puppet, Jenkins, and the like—rather than addressing how people collaborate and share responsibility.
“A lot of organizations think DevOps is a problem that you can solve with tools,” said Justin Rodenbostel, DevOps practice leader at SPR Consulting. “We more rarely see the cultural aspects of DevOps, where the ops and dev concerns are actually on the same team working toward the same goal and sharing the same accountability.”
If your DevOps transformation is tool-heavy but culture-light, the five practices below offer a more grounded path forward.
1. Integrate Teams Around Shared Goals, Not Just Shared Tooling
The first step is creating an environment in which every team member understands how their work contributes to shared outcomes. Traditional operations culture often prioritizes stability above all else—resisting change to production environments in order to preserve uptime. DevOps challenges that model by using automation to make change safer and faster, not by eliminating caution.
“It’s shying away from the traditional view of ensuring uptime where we can’t put changes into production,” Rodenbostel explained, “but rather leveraging the tools to ensure that changes are getting into production more quickly and more reliably through the use of automation.”
Practically, this means developers should work in environments that closely mirror production—managed with the same configuration tooling operations uses—so that discrepancies between local workstations and deployment targets are eliminated early. The goal is a consistent software supply chain from a developer’s laptop to a live environment.
Critically, integration is not just an org-chart exercise. Putting developers and operations engineers in the same team does not automatically create DevOps culture. They must share accountability for outcomes—both when deployments succeed and when they fail.
2. Find Leaders Who Champion Cross-Functional Investment
DevOps culture starts with leadership. Without a sponsor who understands the long-term value of cross-functional collaboration—and can articulate that value to stakeholders measuring short-term throughput—teams will revert to siloed habits the moment pressure mounts.
“It takes a long time to realize the value of that investment in automated testing, automated builds, automated deployment, release artifact archiving, local developer workstation management, infrastructure provisioning, infrastructure configuration, and subsequent application monitoring,” Rodenbostel noted.
The upfront cost of building a mature CI/CD pipeline, instrumented infrastructure, and shared runbooks is real. Leaders who can protect that investment during the period before measurable returns appear are essential to a sustainable transformation.
3. Empower Poly-Skilled Workers and Normalize Shared Accountability
Effective DevOps teams are not made up of people who rigidly own a single discipline. Developers who understand infrastructure concerns and operations engineers who can read application code are more valuable—and more resilient—than specialists who hand work over the wall at each boundary.
This does not mean everyone must become a generalist. Rather, team members should develop enough fluency outside their primary area to collaborate meaningfully, review each other’s work, and step in during incidents. Leaders must actively enable this by creating time for cross-training, rotating on-call responsibilities, and building blameless post-mortems into the team’s workflow.
Shared accountability also means shared recognition. If only developers get credit for a successful release, or only operations gets blamed for an outage, cultural integration will remain superficial.
4. Measure What Actually Matters and Commit to Continuous Improvement
Uptime alone is an insufficient measure of DevOps health. High availability can coexist with slow delivery, poor developer experience, and brittle systems. A more complete measurement framework includes metrics such as:
- Lead time for changes: How long does it take a committed change to reach production?
- Deployment frequency: How often does the team ship to production?
- Mean time to recovery (MTTR): How quickly can the team restore service after an incident?
- Change failure rate: What percentage of deployments result in a degraded service or rollback?
- Successful build percentage: What fraction of CI pipeline runs complete without errors?
“You can’t just put this stuff in place and then let it atrophy,” Rodenbostel warned. “Our primary success as DevOps is having that learning culture, and that needs to be encouraged by the team.”
Tracking these metrics over time surfaces trends that point to specific process or tooling improvements. Teams should hold regular retrospectives—not just after incidents—to review the numbers and agree on one or two targeted improvements for the next cycle.
5. Promote Shared Learning Through Transparency
Once a team establishes meaningful performance metrics, those results should be visible across the broader organization—not hidden within a single team’s retrospective documents. Publishing dashboards, sharing post-mortem findings, and presenting case studies internally allows other teams to learn from both successes and failures without repeating costly mistakes.
“This shouldn’t be limited to one team,” Rodenbostel said. “If you have a successful team following a methodology and showing measurable results, they should be able to communicate those same things to other teams as well.”
Transparency also reinforces psychological safety. When teams openly discuss what went wrong without fear of blame, they establish a model that others can emulate. Over time, this compounds into an organizational learning culture where knowledge flows horizontally rather than being hoarded in pockets of expertise.
The Bottom Line
DevOps tools are enablers, not solutions. Automation pipelines, container orchestration, and monitoring platforms only deliver their full value when the humans using them share goals, trust each other with accountability, and are committed to learning together. The five practices above—team integration, leadership support, cross-functional empowerment, metrics-driven improvement, and transparent knowledge sharing—form the cultural foundation that makes the tooling worthwhile.
Organizations that invest in culture alongside technology consistently find that the tooling becomes easier to adopt, maintain, and evolve. Those that skip the cultural work often find themselves with expensive pipelines that nobody trusts and silos that survive every reorg.