How We Reduced Cloud Infrastructure Cost from $17K/month to $2.8K/month

European Industrial Machinery Manufacturer 2024
$17K → $2.8K/monthMonthly cloud cost reduced
~$14.2K/monthEstimated recurring monthly savings
83%Reduction in infrastructure spend
Docker + CoolifyCleaner containerized deployment setup

How we got there

01

The Challenge

The client was a European SME in the industrial machinery sector with a growing digital operation, but their cloud infrastructure had become expensive, fragmented, and difficult to manage.

Their monthly infrastructure cost was close to $17,000, split mainly between AWS and DigitalOcean. AWS was being used heavily for storage, while DigitalOcean hosted overprovisioned compute resources. Over time, unused resources, unoptimized storage, and manual infrastructure decisions had created a large recurring cost leak.

The main issue was not one single expensive service. It was the absence of infrastructure discipline.

The client faced several challenges:

  • Overprovisioned virtual machines running on DigitalOcean
  • AWS S3 storage without proper lifecycle management
  • Old files and unused storage increasing monthly cost
  • No automated cleanup or storage movement strategy
  • No containerized deployment structure
  • Manual maintenance and deployment complexity
  • Infrastructure spread across services without clear ownership
  • High monthly cloud spend with limited visibility into what was actually necessary

The biggest risk was that this waste had become normal. The business was paying for infrastructure every month without knowing which part was essential and which part was silently draining budget.

02

Our Approach

KP Infotech started with a complete infrastructure audit instead of immediately suggesting a migration. The goal was to understand where the money was going, which resources were business-critical, and which parts of the setup were unnecessary or oversized.

The work was handled in four major phases.

1. Cloud Cost Audit

We reviewed the existing AWS and DigitalOcean usage, including compute, storage, backups, inactive resources, deployment flow, and monthly billing patterns.

This helped us identify the biggest cost drivers:

  • Overpowered servers
  • Poor storage tiering
  • Unused or rarely accessed data stored in expensive layers
  • Missing cleanup rules
  • Manual deployment dependencies
  • Infrastructure that had grown without cost governance

2. Infrastructure Consolidation

After the audit, we planned a leaner setup that would reduce recurring spend without affecting the client’s live systems.

The DigitalOcean compute layer was reviewed and replaced with a more cost-effective hosting structure where suitable. The goal was not just to move servers, but to simplify operations and reduce unnecessary compute cost.

3. Docker and Coolify Implementation

We containerized the application environment using Docker and introduced Coolify to manage deployments more cleanly.

This gave the client a more predictable infrastructure setup with:

  • Easier deployments
  • Cleaner environment management
  • Reduced manual server work
  • Better maintainability
  • Simpler scaling path
  • Lower dependency on complex server-level configuration

4. AWS S3 Storage Optimization

AWS storage was one of the key areas of hidden waste. We implemented S3 lifecycle policies, intelligent tiering, and cleanup rules to move older or less frequently accessed files into more cost-effective storage classes.

This helped reduce AWS cost while keeping the required data accessible and secure.

The optimization included:

  • S3 lifecycle policy setup
  • Intelligent storage tiering
  • Removal of unnecessary storage waste
  • Better file retention strategy
  • Cleanup of unused or outdated data
  • Lower long-term storage cost

Throughout the project, the focus was simple: reduce cost without creating operational risk.

03

The Results

The client’s cloud bill was not high because the business had outgrown its infrastructure. It was high because years of unmanaged cloud usage had created silent waste. Servers were overprovisioned, storage was not lifecycle-managed, deployments were difficult to maintain, and the infrastructure had no clear cost-control process. KP Infotech reviewed the complete setup, identified unnecessary spend, migrated workloads into a leaner environment, introduced Docker-based deployment management with Coolify, and optimized AWS S3 storage using lifecycle policies and intelligent tiering. The result was a major reduction in recurring cloud cost, better infrastructure control, easier deployments, and a setup the client could maintain and scale with more confidence.

The Problem Was Not the Cloud. The Problem Was the Waste Inside It.

Cloud infrastructure is supposed to help a business scale. But when it is not reviewed regularly, it can quietly become one of the biggest cost leaks in the company.

That is what happened with this European industrial machinery manufacturer.

The client was spending nearly $17,000 every month on infrastructure. On paper, the setup looked normal: AWS for storage, DigitalOcean for compute, and a mix of systems supporting daily operations.

But once we started reviewing the environment, the real problem became clear.

The company was not paying for growth.
They were paying for unmanaged cloud decisions that had accumulated over time.

Servers had been provisioned with more capacity than required. Storage was growing without lifecycle rules. Old files were sitting in expensive storage classes. Deployment processes were manual and harder to maintain. The infrastructure worked, but it was not financially efficient.

For a growing SME, this kind of cost leakage becomes dangerous because it does not look like a sudden failure. It looks like a normal monthly bill.

And that is exactly why it keeps happening.

What We Found

During the audit, we identified that the client’s cost problem was spread across multiple areas.

DigitalOcean resources were oversized for the actual workload. AWS S3 storage had no proper lifecycle policy. Some files were being stored in expensive layers even though they were rarely accessed. There was no structured cleanup process. The deployment setup also lacked containerization, which made maintenance more manual and less predictable.

The issue was not technical complexity alone. It was a lack of visibility and control.

When cloud infrastructure grows without a clear process, businesses often lose track of what they are paying for and why.

What KP Infotech Did

KP Infotech redesigned the infrastructure with a cost-first and operations-first mindset.

We started by separating what was essential from what was waste. Every major cloud resource was reviewed based on usage, business need, cost impact, and operational risk.

Then we consolidated the compute environment, removed unnecessary overhead, and shifted the deployment setup toward Docker-based containerization. Coolify was introduced to simplify deployment management and reduce manual server maintenance.

For AWS S3, we implemented storage lifecycle policies and intelligent tiering so that data could move into the right storage class based on access patterns. This helped reduce storage cost without deleting important business data or affecting availability.

The goal was not to make the infrastructure cheaper at the cost of quality.
The goal was to make it lean, controlled, maintainable, and scalable.

Why This Worked

The biggest improvement came from treating cloud cost as a business control problem, not just an IT problem.

Instead of simply asking, “Which server is expensive?” we asked:

  • Which resources are actually needed?
  • Which services are overprovisioned?
  • Which storage is active and which is rarely accessed?
  • Which files should move to lower-cost storage?
  • Which deployment steps can be simplified?
  • Which infrastructure decisions are creating recurring waste?

This approach helped us reduce cost while also improving the way the client managed their infrastructure.

The Result

The client’s monthly infrastructure cost reduced from approximately $17,000 to around $2,800.

That created around $14,200 in monthly recurring savings while also giving the client a cleaner, more manageable cloud setup.

The final infrastructure was easier to maintain, more predictable to deploy, and better prepared for future scaling.

Most importantly, the client no longer had to accept high cloud cost as “normal.”

Key Takeaway

Cloud cost optimization is not just about reducing bills.

It is about understanding where your business is leaking money every month, then building the right infrastructure process to stop that leak permanently.

For many SMEs, the biggest savings are not hidden in a new tool.
They are hidden in the infrastructure they are already paying for.

“KP Infotech helped us understand where our infrastructure cost was leaking and rebuilt the setup in a much cleaner way. The savings were significant, but the bigger value was the control and visibility we gained.”

Herve F

3D Virtual Tours & AI Property Listing Platform

LuxeHomes Realty Network
3D Virtual Tours & AI Property Listing Platform

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