Automation is a great tool. Instead of solving a problem once, you can automate a solution to automatically adapt to changing needs without requiring people.

Cloud scalability is the best example of this. We no longer need to manually provide limited static resources such as storage and computation. Instead, we set up automation (usually provided for us) that can use the required number of resources without developers or architects even thinking about it.

The number and types of automated scaling mechanisms vary widely, but without a server is the best example of automated scaling. As server-free computing is now part of the standard infrastructure, such as storing and providing computing resources, it is now part of containers, databases and networks. Many resources that were previously statically configured can now “automatically” configure and provide the exact number of resources needed to do the job, and then return them to the pool after use.

It will soon be easier to list the number of non-server-free resources, given that cloud providers are serverless and cloud-free cloud services are increasing every month. The serverless computer market was estimated at $ 7.29 billion in 2020. In addition, it is projected to maintain a combined annual growth rate of 21.71% for the period from 2021 to 2028. Without a server, it is expected to reach a value of 36.84 billion dollars by 2028.

The question then is, are we always cost-effective and fully optimized in terms of cost and resource utilization, leaving the scalability to automated processes, such as automatic scaling without a server and in the cloud?

Of course, this is a complex issue. Rarely is there a right path, and automation around scalability is no exception.

Copyright © 2022 IDG Communications, Inc.

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