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Development of a Multicloud Cost Transparency and Management Platform
  1. case
  2. Development of a Multicloud Cost Transparency and Management Platform

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Development of a Multicloud Cost Transparency and Management Platform

oxagile.com
Information technology

Multicloud Cost Control Challenges

The client, a cloud services provider, faced challenges in providing 100% cost transparency for its multicloud platform. Existing manual cost processing was time-consuming and lacked real-time visibility. They needed a solution to enable cost efficiency, optimize spending, and facilitate effective budget planning for their platform users.

About the Client

A leading cloud services provider specializing in platform solutions for complex media production workflows, aiming to provide enhanced cost visibility and control for its users.

Project Objectives

  • Achieve 100% cost transparency for the multicloud platform.
  • Enable accurate spending predictions based on historical data.
  • Provide advanced budget management tools for platform users.
  • Automate cost collection, storage, and aggregation from various usage metrics.
  • Offer per-minute analytics and customizable on-demand reports.
  • Integrate seamlessly with AWS, Microsoft Azure, and Google Cloud.

Functional Requirements

  • Automated cost tracking and reporting
  • Per-minute usage analytics
  • Customizable on-demand reports with data visualization
  • Machine learning-driven predictive spend analysis
  • Budgeting and alerting functionality
  • Seamless integration with AWS, Azure, and Google Cloud
  • Support for various platform monetization models

Preferred Technologies

Microservices architecture
Cloud-based data storage (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage)
Business intelligence tools
Machine learning algorithms for forecasting
Message queuing systems

Integrations Required

  • AWS
  • Microsoft Azure
  • Google Cloud Platform

Key Non-Functional Requirements

  • High scalability to handle growing data volumes and user base
  • High performance and low latency for real-time analytics
  • Robust security measures to protect sensitive financial data
  • High availability and reliability

Estimated Business Impact

The project is expected to significantly improve cost control for the cloud services provider and its users, resulting in cost efficiency, optimized resource utilization, and enhanced platform transparency. Automation will reduce manual effort and associated costs. The platform will enable data-driven decision-making and improve overall business intelligence.

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