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Cloud Migration and Optimization for Marketing Sourcing and Procurement Platform
  1. case
  2. Cloud Migration and Optimization for Marketing Sourcing and Procurement Platform

Cloud Migration and Optimization for Marketing Sourcing and Procurement Platform

firstlinesoftware.com
Advertising & marketing

Core Challenges in Cloud Transition and Cost Optimization

The client operates a sensitive data-driven marketing sourcing and procurement platform stored in a private cloud. They face delays in deployment due to extensive system configuration requirements, limited scalability within their dedicated cloud environment, and mounting costs. Additionally, they require a validated, secure environment for user acceptance testing that mimics production, with a need for seamless OS upgrades and operational efficiency improvements.

About the Client

A mid to large-sized enterprise providing comprehensive marketing sourcing, procurement, and strategic support solutions to global clients, with a focus on digital and creative marketing services.

Key Goals for Cloud Migration and Platform Optimization

  • Compare and select the most suitable enterprise cloud provider based on functionality and cost-effectiveness, aiming to maximize operational efficiency.
  • Develop and deploy a replicated UAT environment on the chosen cloud platform using real data, ensuring a seamless and risk-free testing process.
  • Optimize cloud resource utilization to reduce workload by at least 15%, and reduce licensing and hosting costs by up to 30% through strategic platform adjustments.
  • Implement comprehensive monitoring tools and documentation to enhance platform support and operational transparency.
  • Ensure a smooth transition to an updated operating system to minimize testing workload and legacy system issues.

Core Functional System Requirements for Cloud Migration and Optimization

  • Environment replication with real data to support UAT without impacting production.
  • Automated system validation and adjustment tools for extensive configuration settings (~700+ adjustments).
  • Performance and health monitoring dashboards with proactive alerting mechanisms.
  • Integration with various cloud provider APIs for seamless infrastructure management.
  • Automated OS update management with minimal downtime and workload impact.
  • Cost optimization modules leveraging open-source solutions and license management tools.

Preferred Technologies and Architectural Approaches

Cloud platforms such as Google Cloud Platform, AWS, Microsoft Azure based on selection criteria.
Cloud orchestration tools for environment deployment and management.
Open-source software to replace licensed solutions where feasible for cost savings.
Performance monitoring and alerting tools integrated with cloud platform APIs.
Automated configuration management and validation scripts.

Essential External System Integrations

  • Cloud provider APIs for infrastructure setup and management.
  • Monitoring and logging tools for system health and performance tracking.
  • Data protection and security solutions to ensure sensitive data safety during migration.
  • License management and cost tracking systems.

Non-Functional System Requirements

  • Scalability to support dynamic resource allocation with minimal latency.
  • High availability and disaster recovery capabilities to ensure platform reliability.
  • Security protocols compliant with data privacy standards for sensitive client data.
  • Performance benchmarks ensuring environment deployment within predefined timeframes (e.g., environment setup completed within two weeks).
  • System flexibility for OS upgrades and configuration adjustments with minimal impact on ongoing testing activities.

Projected Business Impact of Cloud Migration and Optimization

The project aims to deliver a secure, scalable, and cost-optimized cloud environment that reduces platform deployment and testing workloads by at least 15%, while cutting licensing and hosting expenses by up to 30%. It will enhance testing accuracy and speed, improve operational monitoring, and support strategic OS updates, ultimately empowering the client to achieve faster go-to-market times and more efficient resource utilization.

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