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What are the most effective governance models for cloud automation?

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Cloud automation is the process of using software tools and scripts to automate the deployment, management, and scaling of cloud-based applications and resources. Cloud automation can help you save time, reduce costs, improve reliability, and enhance security. However, cloud automation also poses some challenges, such as ensuring compliance, consistency, accountability, and transparency across different cloud environments and services. That's why you need a clear and effective governance model for cloud automation, which defines the roles, responsibilities, policies, standards, and procedures for your cloud automation activities. In this article, we will explore some of the most effective governance models for cloud automation and how they can help you achieve your cloud automation goals.

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Jonathan Aranha

Head de CSC & Automa??o | Finan?as | Planejamento Estratégico | Lideran?a | RPA | IA

1 Centralized governance

Centralized governance is a model where a single team or department controls and oversees all the cloud automation activities across the organization. This team is responsible for defining and enforcing the cloud automation policies, standards, and best practices, as well as providing the tools, platforms, and resources for cloud automation. Centralized governance can help you ensure consistency, compliance, and quality across your cloud automation projects, as well as optimize the use of cloud resources and reduce duplication and waste. However, centralized governance can also limit the flexibility, agility, and innovation of your cloud automation teams, as they have to follow the rules and guidelines set by the central authority.

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Jonathan Aranha

Head de CSC & Automa??o | Finan?as | Planejamento Estratégico | Lideran?a | RPA | IA
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Centralized governance is an effective model for cloud automation, where a single team or department oversees all cloud automation activities across the organization. This approach ensures consistent supervision and centralized control, enabling the establishment of policies, standards, and guidelines to ensure compliance, security, and efficiency. Centralized governance facilitates the implementation of standardized practices, reduces redundancies, and optimizes resource utilization. Effective communication and collaboration among teams are crucial to address specific needs within the centralized governance framework.

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2 Decentralized governance

Decentralized governance is a model where each cloud automation team or department has the autonomy and authority to decide and execute their own cloud automation activities, without relying on a central team or department. This team is responsible for defining and implementing their own cloud automation policies, standards, and best practices, as well as choosing and using the tools, platforms, and resources for cloud automation. Decentralized governance can help you foster flexibility, agility, and innovation across your cloud automation projects, as well as empower your cloud automation teams to respond quickly and effectively to changing needs and demands. However, decentralized governance can also create inconsistency, complexity, and risk across your cloud automation projects, as well as increase the potential for conflicts and errors among different cloud automation teams.

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Jonathan Aranha

Head de CSC & Automa??o | Finan?as | Planejamento Estratégico | Lideran?a | RPA | IA
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Decentralized governance allows individual cloud automation teams or departments to independently decide and execute their activities, promoting flexibility and innovation. While empowering teams, it may lead to inconsistencies in practices across the organization. Effective communication and coordination are crucial to ensure alignment with overarching goals and standards. Collaboration and knowledge sharing among teams help maximize the benefits of decentralized governance in cloud automation.

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3 Hybrid governance

Hybrid governance is a model where you combine the elements of centralized and decentralized governance to create a balanced and adaptive approach for cloud automation. In this model, you have a central team or department that provides the overall vision, strategy, and framework for cloud automation, as well as some common tools, platforms, and resources for cloud automation. However, you also allow your cloud automation teams or departments to have some degree of autonomy and authority to define and implement their own cloud automation policies, standards, and best practices, as well as customize and use their own tools, platforms, and resources for cloud automation. Hybrid governance can help you achieve the benefits of both centralized and decentralized governance, such as consistency, compliance, quality, flexibility, agility, and innovation, while minimizing the drawbacks of each model.

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Jonathan Aranha

Head de CSC & Automa??o | Finan?as | Planejamento Estratégico | Lideran?a | RPA | IA
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Hybrid governance merges centralized and decentralized elements to create a balanced approach to cloud automation. It combines consistent standards from a central authority with team autonomy for tailored processes. This model fosters flexibility, innovation, and alignment with organizational goals. Effective communication and collaboration are vital for successful implementation, enabling coordination between central authorities and teams. Regular evaluation ensures ongoing adaptability and optimization in cloud automation initiatives. Hybrid governance offers the benefits of both centralized oversight and decentralized agility, making it a versatile model for managing cloud automation effectively.

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4 How to choose the best governance model for cloud automation

When selecting the best governance model for cloud automation, there is no one-size-fits-all solution as different organizations have different needs, goals, cultures, and capabilities. You should evaluate the size, scope, complexity, maturity, skill, experience, alignment, collaboration, communication, type of changes and updates to your cloud automation projects, as well as regulatory, legal and ethical requirements and standards. Based on these factors you can consider the pros and cons of each governance model to decide which one suits your cloud automation needs and objectives best. Additionally, you can adjust and adapt your governance model over time as your cloud automation projects evolve and grow.

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Jonathan Aranha

Head de CSC & Automa??o | Finan?as | Planejamento Estratégico | Lideran?a | RPA | IA
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When choosing the best governance model for cloud automation, there is no one-size-fits-all solution. Different organizations have varying needs, goals, cultures, and resources. It's essential to assess factors such as size, scope, complexity, maturity, skill, experience, alignment, collaboration, communication, and the type of changes and updates in cloud automation projects. Additionally, consider regulatory, legal, and ethical requirements and standards. By evaluating these factors, organizations can select a governance model that aligns with their specific circumstances and maximizes the effectiveness of their cloud automation initiatives.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the most effective governance models for cloud automation?

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2

3

4

5

1 Centralized governance

2 Decentralized governance

3 Hybrid governance

4 How to choose the best governance model for cloud automation

5 Here’s what else to consider

Process Automation

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What are the most effective governance models for cloud automation?

1

2

3

4

5

1 Centralized governance

2 Decentralized governance

3 Hybrid governance

4 How to choose the best governance model for cloud automation

5 Here’s what else to consider

Process Automation

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