Why it’s Important to Monitor Cloud Computing Costs, Especially Now

As a company striving to keep operational costs low, one of the smartest initiatives you can undertake is by handling all cloud-based API calls in a service like AWS Lambda.

With it, you can easily run the code, execute them and also pay for the compute time spent. It supports Java, C#, Python, js, and Node and runs the code on a high-availability computer infrastructure for practically all types of applications and backend services.

Theoretically, AWS Lambda can be a major way of saving as it cuts down on your regular costs by up to a projected 10th of the standard costs. But once you implement it, lots of caution will be required since costs can pile up pretty quickly, leaving you with a mega-sized cloud computing bill.

But here’s what Search Cloud Computing thought leader recommends

While explaining the occurrence, David Linthicum of Search Cloud Computing first acknowledged that many businesses prefer to choose a public cloud-based API based on what each bundle it offers include.

He further broke it down, stating that even when they go for the features instead of focusing on the cost, it would be the same prices that differ and basically matter in the bottom line. And so, corporates ought to develop strategies meant at estimating and managing API call costs.

Why companies aren’t worried yet about Cloud Computing

Cloud computing
Source: Information Age

Typically, you will not find many firms getting worried with the skyrocketing API call costs, yet they can’t quite distinguish the difference between the various providers. Just look at AWS Lambda and Microsoft’s Azure Functions – they equally offer one million free function calls per month before subsequently charging a further $0.2 for every million calls.

It means, for every API call made after hitting the million mark, you will have to fork out $0.02.

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Azure Functions from Microsoft is a bit similar, though somewhat complex. You are billed on tasks that consumed resources, in Gigabyte per Second (Gbps). And so, to understand how much you will pay, you will have to compute the average memory size, convert it to GB and multiply by the total time it would need to run the function.

Azure Functions, therefore, offers the first 400,000 Gbps free of charge before asking for a $0.000016 per Gbps used.

You shouldn’t really trust the conventional “Wait-and-See” technique!

Procrastination concept

Source: SDCexeC

In the end, if your corporate unknowingly manages to make five million API calls every month, the bill can quickly make you go berserk. The “wait-and-see” approach favored by the many when dealing with the cloud bills can backfire as the spending can pile up and even hit $100,000 or even more per month.

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David advises corporate firms using or planning to use cost governance tools meant for API calls to avoid such costly end-month billing mistakes. Instead, any organization may easily monitor service usage and cap API costs. The software is a lot clever and can be tweaked using expert recommendations for more cost efficient.

How to save money

Better yet, there’s a smart way of saving money. It basically involves buying a package of API calls ahead of time whenever there’s a discount. Making calls during off-peak hours whenever possible also goes a long way in minimizing cloud-based API calls.
The parting shot
Computers that don’t have a dedicated server, according to David Linthicum, are gaining traction amongst tech-smart persons and organizations. But while their popularity keeps growing, you should keep track of the resulting costs as it is also a core part of what the enterprise incurs.