Do You Love Your Cloud Credits? Here's How You Can Get More… Or…Let’s discuss how you can SAVE MORE from your EXISTING pool of cloud credits.

Background

Most companies already have significant cloud commitments. Organizations are ramping up their use of large language models (LLMs) and other compute-intensive applications, so their demand for cloud resources is skyrocketing.

So, how can you do more with your existing credits?

Consider this.
Smart Scaling with AI to deal with traffic spikes.

Imagine a system where the number of Kubernetes pods needed is accurately predicted by AI, using your real-time traffic or requests per second (RPS) as inputs.

This intelligent scaling means you no longer have to set low Horizontal Pod Autoscaler (HPA) thresholds to manage traffic spikes.

That’s right.
With AI, you don’t need to set any threshold values at all.

The AI continuously monitors your traffic and automatically adjusts resources to meet the traffic demand. This ensures optimal application performance WITHOUT over-provisioning of pods and running out of CPU/Memory in case of spikes.

So how does this affect the cloud credits?
This approach of not having any threshold values and letting AI autonomously do the scaling maximizes CPU and Memory utilization and minimizes the number of pods needed to run your application.

This maximizes the efficiency of your cloud credits, reduces costs, and improves application performance.

Bottom Line

With AI-driven smart scaling, you can utilize your existing cloud investments to their fullest potential.

Your applications will always be ready to handle whatever traffic comes their way.

Next time you think of maximizing your cloud credits, think about how AI can be leveraged to do the autoscaling.

The future of cloud efficiency is here, and it’s smarter than ever.

What are the other ways you are increasing your efficiency in the cloud?