So why do businesses still count Cloud cost savings as their primary cloud initiative and top challenge? As you may already know from your own experience — it isn’t as easy as it looks.

It is time for action

For decades, companies made efforts to achieve cost Optimization by focusing on reporting. This came about in the form of chargeback reports, long excel spreadsheets, and dashboards with lucid charts and graphs.

Unfortunately, this action plan rarely works. Looking at data will not de-escalate a cloud bill, nor will sending reports to and fro. The truth of the matter is, this is not to downplay the importance of cost visibility and reporting – cost visibility is an integral cornerstone of any business’s cloud cost optimization strategy and required to establish the necessary accountability, but it is not sufficient. To optimize a cloud environment, you have to be in the action mode, and you must execute actions; but again, this is easier said than done.

How to take the action

To execute actions, one should figure out what actions to take like what cloud optimization platform to adopt, when to take them, and cognize what the repercussion of that action will be further than simple cost savings. There are certain companies that crafted an internal process to determine, analyze, and execute cloud optimization actions. Many accept the process is tedious, cumbersome, manual, and unscalable, especially in large cloud environments where their efforts had minimal impact.

Automation is the way forward!

Automation is the ability to execute optimization actions without the intervention of any human. From a technical angle, automation is simple, especially in public clouds, which offer well-documented and resilient APIs. The primary challenges with achieving automated cloud optimization are complexity and trust.

The complexity stands for the process of building an errorless and actionable cloud optimization action, like rightsizing a VM, a PaaS service, or even a container. For instance, to accurately resize a single workload, you have to watch the usage of its resources across multiple metrics like CPU, Memory, IOPS, Network, etc., along with monitoring application performance metrics like response times and transactions.

To persuade companies to consent to automate actions like integrating a real-time cloud optimization platform, you have to earn their trust that the actions are accurate, safe, and will not damage the performance of the applications, especially in production.

Sum Up

By implementing the right strategies cloud cost optimization is easily achievable.

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