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Cloud Infrastructure Optimization and Performance Enhancement
  1. case
  2. Cloud Infrastructure Optimization and Performance Enhancement

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Cloud Infrastructure Optimization and Performance Enhancement

dataforest.ai
Information technology

Cloud Cost and Performance Issues

The company experienced a significant increase in AWS cloud infrastructure costs (265% in 9 months, reaching $57k/month) alongside performance bottlenecks due to underutilized resources, inconsistent storage practices, and inefficient internal traffic flow. This is hindering their ability to scale efficiently and impacting operational expenses.

About the Client

A U.S.-based IT services and consulting company specializing in cybersecurity and identity fraud protection.

Project Goals

  • Reduce AWS cloud infrastructure costs by a significant margin.
  • Improve application performance and reduce latency.
  • Enhance infrastructure scalability to support future growth.
  • Increase operational efficiency through automation and optimization.
  • Improve data management and storage efficiency.

Functional Requirements

  • Automated cost analysis and reporting
  • Resource utilization monitoring and optimization recommendations
  • Storage tiering and lifecycle management
  • Traffic flow analysis and optimization
  • Automated instance scheduling and stopping
  • Integration with CI/CD pipelines for resource management
  • Implementation of saving plans and reserved instances
  • Data retention policy management
  • Dockerization of applications

Preferred Technologies

AWS EC2
AWS S3
Docker
ECS
CloudWatch
CloudFormation

Integrations Required

  • CI/CD pipelines (e.g., Jenkins, GitLab CI)
  • Monitoring tools (e.g., Datadog, Prometheus)

Key Non-Functional Requirements

  • Scalability to accommodate future growth
  • High availability and reliability
  • Security compliance with industry standards
  • Cost-effectiveness
  • Performance optimization (latency reduction)
  • Automated and repeatable deployments

Expected Business Impact

This project is expected to deliver significant business impact through reduced operational costs ($23.5k/month savings), improved performance (8% optimization), enhanced scalability, and increased efficiency. The optimized infrastructure will enable the company to better serve its clients and maintain a competitive edge in the market.

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