Efficiency and productivity have long been pain points for IT organisations. In response, the industry has produced a growing family of so-called “Ops” disciplines — structured approaches that apply operational thinking to different layers of the software delivery lifecycle. Some are evolutions of existing methodologies; others are genuinely new models enabled by modern tooling. This article explains eight of the most widely discussed Ops disciplines, what each one addresses, and how they relate to one another.
DevOps
DevOps is the best-known of these disciplines and serves as the foundation from which many others have evolved. At its core, DevOps is about breaking down the cultural and process silos that traditionally separated software development teams from IT operations teams. Developers are typically oriented toward introducing change quickly; operations teams prioritise stability. Without structured collaboration, those incentives conflict — slowing delivery, increasing defect rates, and creating organisational friction.
DevOps addresses this by promoting shared responsibility, continuous integration and delivery (CI/CD), infrastructure as code, and automated testing and monitoring. It builds on Agile and Lean principles but adds an explicit focus on the operations side of the house — something earlier Agile frameworks largely ignored.
Common drivers cited by organisations adopting DevOps include improving software quality, reducing overall delivery costs, improving customer experience, reducing operational complexity, and increasing cross-team collaboration.
ScrumOps
Scrum is an Agile framework first described in 1986, built around the recognition that software projects are inherently unpredictable. Rather than attempting to define every requirement upfront, Scrum organises work into short iterative cycles (sprints), with frequent inspection and adaptation. It is designed to help teams respond to change rather than resist it.
ScrumOps combines Scrum’s iterative framework with DevOps principles. Critics sometimes argue the two are incompatible — Scrum focuses on feature delivery within time-boxed sprints, while DevOps often promotes continuous flow. In practice, however, the two complement each other. Scrum provides the team structure and cadence; DevOps provides the tooling and culture to automate delivery and operations work within that cadence.
“It’s a total misconception that it has to be either Scrum or DevOps. And there’s a tension between the two that is wholly misplaced… The fact that you can use Scrum for more effective DevOps truly should be something that everyone gets.”
Dave West, CEO of Scrum.org
ServiceOps
As organisations increasingly rely on data centres, hosted platforms, and third-party managed service providers, integrating and managing those services introduces significant operational complexity. ServiceOps emerged as a discipline to address that challenge — bringing operational thinking into service design from the outset rather than bolting it on at the end.
Key principles of ServiceOps include:
- Early operations involvement: Operations teams participate during the service design phase, not just after handoff.
- Automation and self-service: Manual intervention is treated as a cost to be minimised, both in time and money.
- Value sufficiency: Services are optimised to the point of maximum value, rather than over-engineered beyond what customers need — sometimes described as “good is good enough.”
InfraOps
InfraOps — short for infrastructure operations or infrastructure optimisation — focuses on the management and optimisation of physical and virtual infrastructure, including on-premises data centres and cloud environments.
A central goal of InfraOps is simplification: reducing the number of discrete components, eliminating unnecessary breakpoints in the infrastructure stack, and increasing reliability through consolidation. Practically, this often points toward software-defined networking and storage, hyperconverged infrastructure, or fully cloud-native architectures that abstract away physical hardware concerns. When infrastructure is complex and fragile, every deployment carries greater risk; InfraOps attempts to reverse that dynamic.
CloudOps
Cloud computing has shifted how organisations provision and operate infrastructure, but it has not eliminated operational risk. Misconfigurations, outages, and human error remain persistent threats at cloud scale. High-profile incidents — such as the 2017 AWS S3 outage caused by a typo during a routine maintenance procedure — demonstrated that even hyperscale cloud platforms are vulnerable to operational mistakes with widespread downstream consequences.
CloudOps is the discipline of managing cloud environments with the same rigour traditionally applied to on-premises data centres, adapted for the elasticity and distributed nature of cloud platforms. Core concerns include:
- Maintaining maximum uptime and availability across cloud regions and providers
- Managing multi-cloud and hybrid environments to increase redundancy
- Automating provisioning, scaling, and recovery workflows
- Cost visibility and governance across cloud spend
- Security posture management in dynamic, ephemeral environments
As organisations diversify across multiple cloud providers to avoid single points of failure, CloudOps tooling and practice have become increasingly important.
ChatOps
ChatOps integrates tooling, automation, and operational workflows directly into team chat and messaging platforms. Rather than switching between a chat application and separate deployment dashboards, monitoring tools, or ticketing systems, engineers trigger actions and receive notifications within the same communication channel the team already uses.
In practice, a ChatOps workflow might look like this:
- An engineer types a deployment command in a shared team channel.
- A bot executes the pipeline and posts progress updates back to the channel.
- All team members can see the deployment status, provide input, or intervene in real time.
- The chat log becomes a transparent, searchable audit trail of what happened and when.
This approach improves visibility, reduces context-switching, and reinforces the collaborative culture that DevOps promotes. Tools such as Slack, Microsoft Teams, and Mattermost are commonly used as ChatOps platforms, often extended with bots built on frameworks like Hubot or purpose-built integrations.
AppOps
AppOps applies a full-lifecycle ownership model to application development. Under AppOps, the engineer or team that writes the software is also responsible for deploying it, monitoring it in production, and maintaining it over time. In modern terms, this aligns closely with the “you build it, you run it” principle popularised by Werner Vogels of Amazon.
In earlier decades, when development teams were smaller, this was standard practice — individual developers naturally owned the entire lifecycle of the software they wrote. As projects grew in scale and complexity, specialised teams took over deployment and operations, creating handoff points and diffused accountability. AppOps is a deliberate return to that ownership model, adapted for modern platforms. The rationale is straightforward: developers who run their own software in production write better, more operable software because they directly experience the consequences of their design decisions.
EnterpriseOps
As automation has expanded across IT operations, some predicted that traditional IT operations roles would shrink or disappear entirely. EnterpriseOps reflects the opposite trend: as automation grows more sophisticated, someone must design, implement, govern, and maintain those automated systems. That responsibility falls to operations professionals.
EnterpriseOps focuses on the operational backbone of large organisations — the processes, governance frameworks, and expertise required to keep enterprise-scale automated systems running reliably, securely, and in compliance with regulatory requirements. Far from being made redundant by DevOps, enterprise operations teams are increasingly critical enablers of the automation those organisations depend on.
How These Disciplines Relate
These Ops disciplines are not competing alternatives — most organisations will find themselves operating across several simultaneously. DevOps provides the cultural and process foundation. CloudOps and InfraOps address the infrastructure layer. AppOps and ScrumOps shape how development teams take ownership of delivery. ServiceOps governs third-party service integration. ChatOps improves team communication and operational transparency. EnterpriseOps ensures that at scale, governance and reliability are maintained.
It is also worth noting that security is increasingly a first-class concern across all of these disciplines. As organisations accelerate delivery through DevOps pipelines and automation, security practices that cannot keep pace become the new bottleneck — a challenge the DevSecOps movement addresses directly.
Conclusion
The proliferation of Ops disciplines reflects the growing complexity of modern software delivery and infrastructure. Some — like AppOps — are reframings of long-established practices. Others — like ChatOps and CloudOps — are genuinely new models made possible by modern tooling and platforms. Understanding what each discipline addresses, and where it fits in the broader delivery lifecycle, helps engineering and operations leaders make informed decisions about where to invest improvement effort.
No single Ops framework solves every problem. The most effective organisations tend to adopt the principles that address their specific bottlenecks, rather than treating any one methodology as a universal solution.