Multicloud Strategy for Performance and Cost Reduction

Deployment of a reference multicloud architecture aimed at cost optimization, processing performance and observability.

Challenge

Expensive, inflexible infrastructure in a fast-growing data environment, with unsuitable processing paradigms and no monitoring.

Solution

• AWS
• Google Cloud
• Pipeline refactoring (language and processing)
• Continuous monitoring and optimization

Results achieved

• Significant reduction in operating costs
• Modern, robust stack
• Efficient pipelines suited to data volume
• Less redundancy and centralized BI