Understanding cloud deployment models

Cloud deployment models define the cloud services and management responsibilities. They set the rules for who manages what, whether it's you or the cloud provider. These models outline what services you get, how scalable they are, and how much control you have over them.

These models also influence your system's architecture. They dictate how scalable your computing resources are and determine the services available to you. For instance, public clouds offer scalability and a wide range of services, while private clouds provide more control and customization.

Furthermore, cloud deployment models determine how users interact with the infrastructure. In a public cloud, users share resources, which can lead to cost savings and easier management. In a private cloud, users have dedicated resources, resulting in greater control and security.

Key aspects of cloud deployment models:

• Service management: Who handles the hardware, software, and networking.

• Scalability: How easily you can scale resources up or down.

• User interaction: How users access and interact with the infrastructure.

Choosing the right cloud deployment model can significantly impact your architecture, scalability, and user interactions. It's essential to understand these aspects to make informed decisions for your infrastructure.

Types of cloud deployment models

What is the public cloud?

The public cloud is managed by third-party providers. Resources are shared among multiple users. It's scalable and cost-effective.

• Learn more about cloud.

• Understand the different Statsig products.

• Explore how Statsig works.

What is the private cloud?

The private cloud is dedicated to a single organization. It offers greater control and customization. It can be hosted on-premises or by a third party.

• Dive into enterprise analytics.

• Discover the benefits of dynamic config.

• Learn about client-side testing.

Hybrid and multi-cloud models

What is the hybrid cloud?

A hybrid cloud combines public and private clouds. It allows you to move workloads seamlessly. It integrates on-premises infrastructure with public cloud services. For example, Statsig Warehouse Native and Statsig Cloud share many capabilities, but there are some differences between the platforms you can explore. To get started, you can refer to the documentation and walkthrough guides to understand the implementation and integration processes better.

What is the multi-cloud?

A multi-cloud setup uses services from multiple providers. This approach avoids vendor lock-in. It optimizes your infrastructure for specific business needs. For example, in enterprise analytics, organizations often use Enterprise Analytics tools to help make informed business decisions. Additionally, you can explore how Statsig integrates with existing tools to enhance your multi-cloud infrastructure. To further understand the benefits and comparisons, check out the Build vs Buy article to decide the best approach for your experimentation needs.

Examples of cloud deployment models in use

• E-commerce platform: Uses a public cloud to manage peak traffic during sales events. This ensures scalability without significant upfront costs.

• Financial institution: Employs a private cloud for compliance and data security. Also utilizes a public cloud for non-sensitive workloads.

• Healthcare provider: Adopts a hybrid cloud model. Keeps patient records in a private cloud for security. Leverages public cloud resources for general applications and data analysis.