How to Build an Ideal R&D Team and Implement a Unified Cloud‑Native Delivery Model

Unified Engineering Delivery Model

The BizDevOps whitepaper (2022) defines a time‑stamped model where Application and Change Request are the core entities. Each change request is linked to an application and carries attributes such as environment, deployment orchestration, and workflow steps. This model aggregates assets (code repos, artifacts, branch policies) and processes (pipeline stages, entry/exit criteria) around the application, enabling transparent priority management and metric tracking.

Application Delivery Mode Template

Define roles and permissions per application (developer, tester, product manager, etc.).

Specify code repository and artifact storage responsibilities.

Adopt a branch strategy: feature branches for development, master (or main) for release.

Describe end‑to‑end pipelines with explicit entry criteria, hand‑off standards, and exit criteria.

Map environments (development, testing, production) to roles, namespaces, and resource quotas.

Change requests connect product requirements to development tasks through the following workflow:

Create a change request from a product requirement and associate it with an application.

Define the change scope, typically a feature branch.

Execute the development pipeline (code review, build, test, etc.).

After successful verification, complete the change request, marking the requirement as done.

Cloud‑Eff Platform Implementation

A “Feature‑Driven Continuous Delivery” template is created on the Cloud‑Eff platform:

Enable the “Change + R&D Process” service.

Configure two variable groups: one for the feature stage (dedicated Kubernetes namespace, lower replica count) and one for the master stage (production namespace, higher replica count).

Define two environments per application: a feature verification environment and a production deployment environment.

Design two pipelines:

Feature verification pipeline (triggered on feature‑branch pushes): code review → build → deploy → test (4 steps).

Production deployment pipeline (triggered on master merges after successful feature verification): code review → build → approval → deploy → change completion (5 steps).

Application creation from the template includes linking a Git repository, assigning team members, and setting the variable groups.

End‑to‑End Example

Product requirement: integrate a query service with risk‑control to block crawlers.

Create a change request linked to the requirement and to the risk-control-srv application.

Specify the change scope as a new feature branch.

Push code to the feature branch; the feature verification pipeline runs automatically and provides feedback.

After code review approval, merge the feature branch into master; this triggers the production deployment pipeline.

When the production pipeline finishes, the change request and the original product requirement are marked as completed.

Key Takeaways

The unified model provides a common language and a structured workflow that can be instantiated on Cloud‑Eff (or similar platforms) via templates. Teams must adapt the template to their specific context, balancing collaboration mechanisms, branch policies, and automation levels to achieve efficient, transparent delivery.