Summary

In this chapter, we discussed various ways of how we can provision workloads to the different cloud platforms: Azure, AWS, and Google Cloud. It's recommended to decide what type of resources we plan to deploy before we actually start building our environment. We've seen that cloud providers offer a wide variety of resources—from simple, low-cost development VMs to heavy workloads with lots of memory—for use, such as in-memory databases. In order to stay in control of costs, it's wise to define what we really need and enforce it by policies that only allow those resources to be deployed. That's what is referred to as resource planning and should be part of the multi-cloud architecture.

We have also learned how we can set budgets and cost alerts in the cloud platforms. All major cloud providers allow us to set budgets on time and type of resources consumed. Next, we can set triggers as soon as budget thresholds are met and get notified by...