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In this post we show a couple of options when it comes to a cloud deployment model. Depending on the needs of your organization some options may suit you better than others.

Private Cloud

A private cloud is cloud infrastructure that only members of your organization can utilize. It is typically owned and managed by the organization itself and is hosted on premises but it could also be managed by a third party in a secure datacenter. This deployment model is best suited for organizations that deal with sensitive data and/or are required to uphold certain security standards by various regulations.

Advantages:

Disadvantages:

Public Cloud

Public cloud refers to cloud infrastructure that is located and accessed over the public network. It provides a convenient way to burst and scale your project depending on the use and is typically pay-per-use. Popular examples include Amazon AWS, Google Cloud Platform and Microsoft Azure.

Advantages:

Disadvantages:

Hybrid Cloud

This type of cloud infrastructure assumes that you are hosting your system both on private and public cloud . One use case might be regulation requiring data to be stored in a locked down private data center but have the application processing parts available on the public cloud and talking to the private components over a secure tunnel.

Another example is hosting most of the system inside a private cloud and having a clone of the system on the public cloud to allow for rapid scaling and accommodating bursts of new usage that would otherwise not be possible on the private cloud.

Advantages:

Disadvantages:

Multi-Cloud

This option is a variant of the hybrid cloud but we refer to it when we mean “using multiple public cloud providers”. It is mostly used for mission critical systems that want to minimize the amount of down time if a specific service on a particular cloud goes down (e.g., the S3 outage of 2017 that took down a lot of web services with it). This option is arguably the most advanced option and sacrifices convenience for security and reliability. It requires significant expertise and engineering effort to get right since most platforms vary widely between the type of resources and services that they provide in subtle ways.

When choosing a cloud deployment model weigh the advantages and disadvantages of each option as it relates to your business objectives.

If you liked this post you may also like: Introduction to DevOps on AWS Gov Cloud

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