40% Cost Reduction and 3x Faster Releases for AI Analytics Infrastructure on Azure
cloud
01 •
INTRO

40% Cost Reduction and 3x Faster Releases for AI Analytics Infrastructure on Azure

cloud
consulting
devops
02 •
ABOUT

40% Cost Reduction and 3x Faster Releases for AI Analytics Infrastructure on Azure

We rebuilt the cloud architecture for an enterprise AI and analytics provider by replacing idle virtual machines with managed Azure services, adding automated pipelines, and hardening security. The result: 40% lower infrastructure spend, significantly faster deployment cycles, and a compliant, production-grade platform ready for scale.

COST SAVINGS

60% reduction in monthly cloud spend

DATA VOLUME MIGRATED

10TB across 400M individual files

GLOBAL DELIVERY

<300ms latency worldwide via Azure CDN

03 •
CHALLENGES

The existing infrastructure was expensive, static, and too slow to support real-time analytics at enterprise scale.

Overprovisioned VMs with poor resource efficiency

Dozens of underutilized virtual machines increased costs without improving performance or flexibility.

Release cycles blocked by manual workflows

With no automation in place, even basic changes involved multiple manual steps and environment drift.

Security and compliance coverage gaps

Sensitive data had to meet growing compliance requirements, but the legacy stack lacked proper controls and monitoring.

04 •
TESTIMONIALS
image5

Uitware built a powerful IoT platform that helps us drive sustainability and scale with ease. Their team is a true partner in innovation.

Joost Kingma

Owner, Dataclip
05 •
SOLUTIONS

We transitioned to a serverless-first model with built-in automation, monitoring, and secure access control.

Infrastructure redesign using managed Azure services

We migrated from VMs to Azure Functions, Container Instances, and App Services for dynamic scaling and better cost control.

Automated deployment pipelines via Azure DevOps

End-to-end automation reduced errors and manual labor, while supporting faster testing and more frequent releases.

Enterprise-grade security tooling

Implemented Key Vault for secrets, RBAC for access control, and Azure Monitor for full observability and compliance tracking.

Need a cloud foundation that actually supports enterprise AI?

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06 •
TECHNOLOGIES

Technologies we used

  • Microsoft Azure

  • Azure DevOps

  • Azure Functions

  • Azure App Services

  • Azure Key Vault

  • Azure Container Instances

  • Azure Monitor

  • Docker

  • PostgreSQL

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