Question

Let’s assume you end up choosing yes for the previous question, which cloud service will you prefer to deploy your project on. Discuss the features that made you opt for that particular service and compare it to at last 2 other similar variants. For Example- if you choose AWS Beanstalk, why that and why not Microsoft Azure or Google App Engine

Answer 1

Answer:

Understand and analyze different Cloud Deployment Models: public, private, hybrid and community. Select the perfect Cloud Deployment Models based on your App Architecture: VMs vs IaaS vs Containers vs Serverless. Read more to find out their performance & potential use cases.

How to Choose the Right Cloud Deployment Model for your Application?

When companies talk about moving to the cloud, it is a general assumption that they are bringing their on-premise workload to the public cloud and not switching clouds. However, GitLab, a startup famous for providing developers tools, announced earlier this year that they are abandoning Microsoft Azure and moving to Google Cloud Platform, as mentioned in the official GitLab statement.

This step took place because GitLab wanted to adopt cloud-native practices with the best use of microservices and containers. The same approach used by GitLab is becoming a critical factor for modern software development. Also, Kubernetes turned out their preferable choice since it allows elastic scaling from a couple of users to millions.

GitLab is just not one example! There are many organizations who switch their cloud deployment models amid the requirements demanded by the modern application users.

You could be also one of the people who is reconsidering their public cloud choices. Maybe because your needs have changed? Or you could be one wondering to re-architect an application? The possibilities are endless.

If you are one of those people, this blog is about you. There are many considerations which need to be overlooked when you’re deciding the architecture, technology and cloud deployment models for your application.

Before we move further, let’s discuss the four basic cloud deployment models: