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How We Cut Infrastructure Costs by 70% for a European Machinery Firm

$15K/month saved • 70% cost reduction

    $15K Saved Monthly

    From $17K to $2.8K

    Containerized Setup

    Using Docker & Coolify

    Optimized Storage

    AWS S3 lifecycle policies

    About the Client

    The client is a small-to-medium-sized enterprise (SME) based in Europe, specializing in the industrial machinery sector. Although highly skilled in their domain, they faced serious infrastructure inefficiencies and rising operational costs due to a fragmented and outdated cloud environment.

    The Challenge

    When the client approached KP Infotech, they were dealing with unpredictable and excessive cloud bills, along with operational bottlenecks. Their existing infrastructure consisted of:

    Overprovisioned Compute Resources

    Their workloads were running on oversized DigitalOcean VMs, consuming unnecessary CPU and memory, inflating costs without added value.

    Unoptimized AWS Storage

    They were using AWS S3 for all data without proper lifecycle management, keeping outdated logs, backups, and cold data in expensive tiers.

    No Containerization or Orchestration

    Applications were deployed manually on virtual machines, leading to time-consuming maintenance, difficult scaling, and inconsistent environments.

    Long-Term Financial Waste

    This inefficient setup had been running for over 5 years, resulting in more than $500,000 in avoidable infrastructure costs.

    Our Solution

    KP Infotech proposed and implemented a two-pronged infrastructure modernization plan that focused on cost-efficiency, automation, and scalability.
    Phase 1
    Compute Migration & Containerization
    Step 1

    Migrated all workloads from DigitalOcean to Hostinger Cloud, which provided comparable performance at a significantly lower cost.

    Step 2

    Containerized all services using Docker, enabling repeatable and isolated deployments.

    Step 3

    Deployed and managed these containers using Coolify, an open-source platform similar to Heroku, allowing the client to manage deployments visually and automate scaling.

    Phase 2
    AWS Storage Optimization
    Step 1

    Implemented S3 Intelligent-Tiering and Lifecycle Policies to automatically move infrequently accessed data to cheaper storage classes.

    Step 2

    Performed a one-time cleanup of non-essential data, reclaiming storage and reducing long-term cost exposure.

    Step 3

    Set up ongoing monitoring and tagging to help the client proactively manage data growth.

    Results

    The results were immediate and quantifiable:
    MetricBeforeAfter
    Monthly Cloud Cost$17,000 ($12K AWS + $5K DO)$2,800 ($2K AWS + $800 Hostinger)
    Maintenance EffortManual, time-consumingAutomated deployments
    ScalabilityRigid VMsSeamless Docker scaling via Coolify
    Storage EfficiencyFlat S3 tieringTiered with lifecycle automation
    • ✅ Reduced cloud costs by over 70%
    • ✅ Saved $15,000+ per month
    • ✅ Zero downtime during migration
    • ✅ Easier maintenance and faster updates
    • ✅ Future-ready, scalable architecture

    Client Testimonial

    The ROI with KP Infotech was immediate. They slashed our monthly cloud bill from $17,000 to under $3,000 — and finally gave our tech team room to breathe. Their clarity, execution, and technical depth were exactly what we needed.

    — CTO, European Industrial Machinery Manufacturer

    Before & After Visuals

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