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Cloud Infrastructure Optimization for Cost Reduction and Performance Enhancement
  1. case
  2. Cloud Infrastructure Optimization for Cost Reduction and Performance Enhancement

Cloud Infrastructure Optimization for Cost Reduction and Performance Enhancement

dataforest.ai
Information Technology
Financial services

Identifying Cost Drivers and Performance Bottlenecks in Cloud Infrastructure

The client faces a significant increase in monthly cloud infrastructure costs, reaching approximately $57,000 per month—a 265% growth over nine months—due to under-utilized computing resources, inconsistent storage configurations, inefficient internal network traffic, and lack of unified resource management policies, leading to excessive expenses and performance inefficiencies.

About the Client

A mid-to-large size IT services company specializing in security and identity management solutions experiencing rapid growth and rising cloud infrastructure costs.

Goals for Cost Optimization and Performance Boost in Cloud Infrastructure

  • Achieve substantial cost savings through resource optimization and waste reduction, targeting annual savings of at least $23,000 per month.
  • Reduce instance-related expenses by approximately 67.5%.
  • Eliminate unused storage volumes totaling over 900 TB and optimize storage configurations for consistency.
  • Improve system performance by approximately 8%, reducing latency and increasing throughput.
  • Enhance infrastructure security, scalability, and robustness to support future client growth with minimal cost impact.

Core Functional Requirements for Cloud Infrastructure Optimization Platform

  • Resource utilization analytics to detect underused compute instances and allocate capacities accordingly.
  • Automated cleanup of overlooked and forgotten cloud resources, including instances and volumes.
  • Scheduling capabilities to shut non-production resources during offhours.
  • Enhanced CI/CD pipeline integration to automatically stop ‘Master’ instances outside business hours.
  • Security and permission auditing with validated user and group access controls.
  • Storage management with resizing, optimization, and backup to cost-effective storage solutions such as object storage.
  • Implementation of storage retention policies to manage old or unused data.
  • Establishment of savings plans and reservation strategies aligned with current instance families and load patterns.
  • Architecture redesign to reduce internal network data transfer costs through microservices containerization and service chaining.

Preferred Technologies and Architectural Approaches

Cloud platforms with scalable compute and storage options (e.g., AWS, Azure, GCP)
Containerization tools such as Docker
Container orchestration with Kubernetes
Infrastructure as Code (IaC) for resource management
Security auditing and IAM best practices
Monitoring and automation tools for scheduling and cost analysis

Necessary External System Integrations

  • CI/CD pipelines for automated deployment and resource control
  • Security and Identity Management systems for access validation
  • Backup and archival storage systems for data retention
  • Monitoring tools for performance and cost analytics

Non-Functional System Attributes and Metrics

  • Scalability to handle a doubling of client infrastructure with less than 16% cost increase
  • Performance improvements of at least 8% in system efficiency
  • Security protocols conforming to industry best practices
  • High availability and fault tolerance for critical infrastructure components
  • Automated scheduling and resource management for operational efficiency

Projected Business Impact and Savings from Infrastructure Optimization

The implementation of this cloud infrastructure optimization project aims to deliver monthly cost savings of over $23,000, representing a 67.5% reduction in instance-related expenses, while removing approximately 916 TB of unused storage. The project is expected to enhance overall system performance by 8%, improve security posture, and enable the client to support a growth trajectory with less than 16% incremental infrastructure costs, resulting in a more secure, robust, and cost-effective operational environment.

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