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Understanding Deployment Models for Automation

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Embarking on an automation journey requires a clear understanding of the deployment models at your disposal. Your choice hinges on several key company factors including compliance, infrastructure, and data protection concerns. In this chapter, we delve deeper into these models to guide your decision-making.

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All Cloud

Just as the name suggests, this model revolves around hosting automation solutions entirely in the cloud. 

- Nature: Web-based and cloud-native. Crafted from the onset to thrive in the cloud environment.
- Accessibility: Use from any machine equipped with a browser, ensuring easy access.
- Maintenance: Fully managed within the cloud environment. One of its standout features is the seamless, always-updated experience it offers. Users enjoy the entirety of the platform without the need for any infrastructure upkeep.

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Cloud Enabled

For those hesitant about a full-cloud commitment, the cloud-enabled solution offers a balance:

- Data Storage: While your data remains safely housed within your infrastructure, management operates from the cloud.
- Experience: Combines the best of both worlds - the benefits of a SaaS experience with the assurance of on-premise data. This model typically leads to a reduced total cost of ownership.

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On-Premises

This model emphasizes total control and autonomy:

- Hosting: Everything—from the deployment to data—resides within your infrastructure.
- Updates: Opt for updates at your discretion. This grants users the ability to dictate the timeline and nature of upgrades and new feature integrations.

By grasping the nuances of these deployment models, you can make an informed decision that aligns seamlessly with your company's unique needs and goals.

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Development
Customer Data
Product updates
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cloud
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client site
automatic
client site
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client site
Development
Development
Customer Data
Customer Data
Product updates
Product updates

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