Transitioning from Agile to DevOps is one of the more significant shifts a cloud company or managed service provider (MSP) can undertake. It is not simply a matter of swapping tools or renaming teams. The move touches culture, process, skill sets, infrastructure, and security posture all at once. The good news is that Agile and DevOps are not mutually exclusive—understanding how they relate is the first step toward a successful transition.
Agile and DevOps: Complementary, Not Competing
A common misconception is that adopting DevOps means abandoning Agile. In practice, many high-performing teams use both together. Agile governs how software is developed—emphasising iterative delivery, responsiveness to change, and close collaboration within development teams. DevOps extends that philosophy to include the operations side of the house, closing the gap between writing code and running it reliably in production.
“Agile practices and DevOps are not mutually exclusive practices, and they are frequently used together to achieve continuous deployment of features to users. The key is using feature branching that is only merged in after a successful completion of comprehensive automated tests.”
David Lee, COO, Kastling Group
Marty Puranik, CEO of Atlantic.Net, frames the distinction clearly: Agile is primarily about producing software efficiently, often software that was historically packaged and sold. DevOps, by contrast, is about keeping that software running continuously in production—the SaaS operating model—which introduces its own set of ongoing responsibilities.
The Cultural Shift Is the Hard Part
Most practitioners who have lived through this transition will tell you that technology is the easy part. Culture is harder. Historically, development teams owned code up to the point of deployment, and operations teams owned everything after. DevOps asks both sides to share responsibility across the entire application lifecycle.
“Organizations that used to separate development and operations will now ask that the teams share the responsibility across the entire application process. Developers will be responsible not only for providing the code but also for following that code to completion. The same is true for operations.”
Lindsey Havens, Senior Marketing Manager, PhishLabs
Common values around ownership and accountability are central to a DevOps culture. Without them, tooling investments will deliver only marginal gains. Leadership needs to make the expectations explicit and support teams through the discomfort of changing deeply ingrained working habits.
Practical Steps for MSPs Moving from Agile to DevOps
1. Start Small and Iterate
The breadth of change involved in a DevOps adoption makes it tempting to plan a large, organisation-wide rollout. Resist that temptation. A pilot program with a small, dedicated team is far more likely to succeed and will generate the proof points needed to scale the approach across the wider organisation.
“For MSPs, a progressive IT motto should be: start small and iterate. DevOps comes with a fundamental shift in culture, process, skill sets and technologies. Using a small, core team to introduce the new working paradigm is essential. By focusing on delivering something of business value—small in scope and within the team’s control—it will empower the team to make decisions in real time.”
Jason McDonald, President, Contino
A solid, scalable IT architecture is foundational here. Starting small forces the team to focus on that foundation rather than trying to solve every problem at once. Once the foundation is in place, growth is organic and controlled.
2. Choose Tools That Support the Process—Not the Other Way Around
Both Agile and DevOps have rich tooling ecosystems, but experienced practitioners caution against letting tool selection drive process decisions. The tool should serve the process, not define it.
“A favourite tool of agile is the Kanban board, which is literally made of notecards and tape. But it accomplishes the goal of visualising work-in-progress—a key component of an efficient agile process.”
Ned Bellavance, Director of Cloud Solutions, Anexinet
For teams that do want a reference stack, tools commonly mentioned in DevOps contexts include:
- Issue and project tracking: Jira, Azure DevOps (formerly Visual Studio Team Services)
- Continuous integration: TeamCity, Jenkins, GitHub Actions
- Continuous delivery: Octopus Deploy, Spinnaker
- Infrastructure as code: Terraform, Ansible, PowerShell DSC
The right answer for any given organisation will depend on its existing investments, team skills, and the cloud platforms it targets. Adopting an entirely new toolchain simultaneously with a cultural change is a recipe for overload—where possible, extend existing tools before replacing them.
Security Cannot Be an Afterthought
One of the most significant risks in moving from Agile to DevOps is carrying forward legacy security habits that were designed for slower release cycles. In an Agile context, security is often treated as another user story to be prioritised in the backlog. In a continuous deployment pipeline, that model breaks down—there is no natural gate at which security reviews can occur if releases are happening multiple times per day.
“Hackers also use DevOps methods in their attacks, so organisations must develop and implement approaches that act with the same rapidity of DevOps, while also integrating security throughout each stage of the development and deployment lifecycle.”
John Martinez, VP of Customer Solutions, Evident.io
The answer is DevSecOps: embedding security controls directly into the pipeline so they run automatically at every stage. Practical examples include:
- Static application security testing (SAST) integrated into the CI build step to catch vulnerabilities in code before it is merged.
- Infrastructure-as-code scanning to verify that cloud resource configurations are secure before deployment.
- Continuous compliance monitoring of running cloud environments to detect configuration drift against defined security baselines.
- Automated secrets management to prevent credentials from being baked into container images or configuration files.
“Choose effective tools and automate their use. Include security to earn the moniker DevSecOps. For example, include a security check to make sure that your infrastructure as code is secure.”
Josh Rosenthal, Co-founder, CloudSploit
Security must be part of the fabric of the product, present and accounted for at every stage of the DevOps lifecycle, not bolted on at the end.
Compliance in Cloud Environments
For cloud companies and MSPs serving regulated industries, compliance adds another dimension to the Agile-to-DevOps transition. Security and compliance requirements need to be encoded into the pipeline itself—automated checks that verify infrastructure and application configurations meet the required standards before anything reaches production. Clear metrics on transition timelines and integration guidelines help teams move with confidence rather than hesitation.
Establishing compliance as code—expressing regulatory controls as testable, version-controlled policies—aligns well with a DevOps operating model and removes the manual verification bottlenecks that slow down continuous delivery.
Key Takeaways
- Agile and DevOps are complementary. DevOps extends Agile principles from development into operations and production.
- Culture change is the primary challenge. Shared ownership and accountability across dev and ops teams must be established deliberately.
- Start with a pilot. A small, focused team reduces risk and creates the evidence base needed to scale adoption.
- Let process drive tool selection. Tools should serve the workflow, not define it.
- Shift security left. Integrate automated security and compliance checks into every stage of the pipeline from day one.
- Onboard developers properly. New working practices—feature branching, automated testing gates, shared on-call responsibility—need to be part of the standard onboarding process, not discovered after the fact.