How to reduce AWS costs without losing performance?

AWS has become the go-to cloud platform for startups and enterprises alike. Its scalability, reliability, and wide range of services make it an attractive choice. But as your infrastructure scales, so do your cloud bills, and they often scale faster than expected.

If you’re running workloads on AWS, you’ve likely experienced “bill shock” at the end of the month.

In fact, Flexera’s 2024 State of the Cloud Report shows that cloud overspending is now one of the top concerns for IT leaders, with many organisations overshooting their cloud budgets by 30–40% every year.

And yet, most hesitate to make changes because of one big fear: “We don’t want to compromise performance.”

But here’s the good news: you can significantly reduce AWS costs without sacrificing performance or migrating your infrastructure.

In this article, we’ll break down how you can cut unnecessary cloud spending, optimise resource usage, and leverage AI-powered tools to stay within budget, all while continuing to run on AWS.

Why does AWS get so expensive over time?

To understand how to fix the cost problem, we have to understand why it exists in the first place. AWS is designed to scale, but that flexibility comes with complexity.

There are hundreds of services, each with its own pricing models, tiers, and options. It’s powerful, yes, but also easy to mismanage.

Most companies unknowingly fall into a few common traps:

• Overprovisioning resources because they’re unsure of peak load requirements.
• Running idle services like unused EC2 instances, unattached volumes, or underutilised databases.
• Lack of visibility into how much each microservice or team is actually consuming.
• Manual deployments that don’t respond in real-time to fluctuations in traffic or load.
• Failing to rightsize infrastructure after initial scaling decisions.

At scale, these inefficiencies become costly.

And while AWS provides tools like Cost Explorer or Trusted Advisor, these are often reactive solutions that still require hands-on intervention and time to interpret.

That’s not ideal for fast-moving teams or lean DevOps departments already juggling too many responsibilities.

How can AI help you save on AWS without changing your setup?

The rise of AI-powered cloud deployment tools is changing the way modern companies approach infrastructure management.

Instead of manually configuring servers, optimising storage, and resizing instances, these platforms use machine learning to analyse your usage patterns, predict future needs, and automatically optimise resources. They learn from your actual operations, not theoretical benchmarks, and take action faster than any human team could.

One of the most forward-thinking tools in this space is Kuberns, an AI cloud deployment platform built specifically to help companies continue using AWS while dramatically reducing costs and operational overhead.

How Kuberns helps you cut AWS costs without migration?

Kuberns is an AI-powered cloud deployment tool built to help companies like yours reduce AWS bills by up to 80% without migrating, downgrading performance, or changing your existing stack.

Kuberns integrates directly with your AWS account, takes full visibility into your deployment pipeline, and starts optimising within minutes.

How Kuberns works with AWS?

• AI-Powered Configuration Tuning: Kuberns analyses your workloads and adjusts configurations (CPU, memory, auto-scaling rules) in real-time.
• Smart Auto-Scaling: Instead of using fixed rules, Kuberns dynamically scales resources based on actual demand, avoiding overprovisioning.
• Cost-Aware Architecture Planning: It helps you choose the right combinations of EC2 instance types, load balancers, and storage options based on performance-to-cost ratios.
• No Code or Infra Change Needed: You don’t need to rewrite your app or switch from AWS. Kuberns works on top of your existing AWS setup.

Can you save on AWS without losing control?

One of the biggest concerns IT teams have when hearing “AI cloud deployment” is whether they’ll lose control.

Will AI override critical configurations? Will it make changes without human approval?

Kuberns was built with these concerns in mind. It works like an intelligent partner, not a replacement.

Everything is transparent. You can review optimisations, approve or modify them, and set boundaries.

You retain complete control over your infrastructure. Kuberns simply gives your team superpowers, surfacing insights you’d never catch manually, and acting on them faster than any human possibly could.

This balance between automation and human oversight is key to how Kuberns builds trust, especially in organisations where uptime and security are non-negotiable.

How did one company cut AWS costs by 40% in a month?

Here’s a real example.

A mid-sized SaaS company had been scaling rapidly and reached a point where AWS bills were becoming a major concern.

They didn’t want to move off AWS. Performance was solid, and their developer team was familiar with the ecosystem.

They integrated Kuberns, and within a week, the platform had flagged:

• Over 40% underutilization across production EC2 instances.
• Logging configurations that were unnecessarily pushing high-volume data into premium-tier storage.
• Autoscaling groups with outdated rules that weren’t reacting to the current load.

Kuberns optimised their stack without changing the underlying architecture. The result?

A 38% drop in AWS costs within the first month, and no dip in performance. In fact, with smart auto-scaling in place, response times improved during peak hours.

Is Kuberns only for startups or big teams too?

While startups benefit massively from keeping cloud costs lean, larger enterprises can extract even greater savings.

The more complex your AWS architecture is, the more potential there is for optimisation.

Legacy services, fragmented billing, abandoned test environments, these can quietly bleed money every month.

Kuberns picks up patterns and inefficiencies that no spreadsheet or static dashboard will ever uncover.

And for enterprises with compliance or uptime concerns, the non-intrusive nature of Kuberns, which doesn’t force migration or external data transfer, makes it a uniquely safe choice.

Why is reducing cloud costs good for business growth?

Reducing AWS costs isn’t just a financial benefit; it’s a strategic one.

The money you save can be reallocated into R&D, hiring, product innovation, or marketing.

More importantly, by automating infrastructure optimisation, your team frees up time to focus on things that truly move the business forward.

Manual cloud management is not scalable.

And in today’s ultra-competitive landscape, where agility and efficiency often decide winners and losers, adopting tools like Kuberns isn’t just smart, it’s necessary.

How to start saving on AWS today without rebuilding anything?

It’s easy to assume that cutting cloud costs means making trade-offs. But with Kuberns, that’s no longer true.

You don’t need to re-architect your system.

You don’t need to switch providers.

You don’t even need to wait.

You just plug in Kuberns, and let it start optimising.

Whether you’re a startup founder watching every dollar or an enterprise IT leader responsible for massive infrastructure, the choice is clear: you can continue overpaying for AWS or you can automate your optimisation and start saving now.

Ready to reduce your AWS bill without touching your code or infrastructure? Start with Kuberns today.

It’s your cloud. Just smarter.