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[OA.STD.2] Tailor operating models to business needs and team preferences - DevOps Guidance
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[OA.STD.2] Tailor operating models to business needs and team preferences

Category: FOUNDATIONAL

Adopt operating models that align with the needs of the business goals, while considering the capabilities and preferences of individual teams. The AWS Well-Architected Framework Operational Excellence Pillar provides a detailed 2 by 2 representations of operating model implementations that can be reviewed to gain insights into potential combinations. Selecting the right operating model involves evaluating the organization's requirements, such as decision-making processes, communication channels, and resource allocation. Keep in mind that multiple operating models can be used concurrently, catering to different use cases, levels of organizational maturity, and individual team and product needs.

Not all operating models support a DevOps culture, and DevOps might not be suitable for every system. In some cases, especially in large and diverse organizations, it might be necessary to support stringent compliance requirements. Additionally, mass migration to a new way of working for all teams may not be feasible due to time, complexity of the system, or skill requirements. For these use cases, a fully separated operating model or introducing an Internal MSP and Consulting Partner might be needed for those systems that must stay as is with more traditional ways of working.

When choosing a Well-Architected operating model for systems that can support DevOps, first determine if centralized or decentralized control of governance is necessary. A centralized governance model grants platform teams within an organization the ability to control how and what other teams are able to deploy, at the cost of restricting those teams' ability to innovate and make changes quickly. Conversely, a fully decentralized model offers teams more flexibility and autonomy, requiring less intensive collaboration between teams through reliance on guardrails and automated governance over strict control.

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