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Cloud Infrastructure Migration and Optimization from Azure to AWS for Regulated Communication Systems
  1. case
  2. Cloud Infrastructure Migration and Optimization from Azure to AWS for Regulated Communication Systems

Cloud Infrastructure Migration and Optimization from Azure to AWS for Regulated Communication Systems

geniusee.com
Information technology
Business services

Challenges in Cloud Infrastructure Consolidation and Data Migration

The client faces the need to migrate existing infrastructure from an on-premises or specified cloud platform to a unified cloud environment, aiming to optimize system manageability, compliance, and performance. Their current infrastructure includes hand-configured systems lacking infrastructure as code practices, leading to difficulties in scalability and rapid deployment, with significant risks associated with database migration, system downtime, and lack of process automation.

About the Client

A mid to large-sized technology company specializing in providing AI-driven communication solutions for highly regulated industries. The organization seeks to centralize its infrastructure to improve scalability, security, and operational efficiency.

Goals for Streamlining Cloud Infrastructure and Enhancing System Performance

  • Migrate existing databases and applications from the current cloud platform to a new cloud environment with minimal downtime and data integrity risks.
  • Implement infrastructure as code to enable reliable, repeatable, and automated management of cloud resources.
  • Develop and integrate CI/CD pipelines to automate build, testing, and deployment processes for performance and reliability improvements.
  • Configure a scalable, secure, and cost-efficient cloud architecture that supports the client’s communication services with high availability.
  • Ensure comprehensive quality assurance and testing protocols throughout the migration process to meet high standards of system stability and security.

Core Functional System Features for Cloud Migration and Management

  • Infrastructure as code deployment capability using tools such as Terraform to automate provisioning and configuration of cloud resources.
  • Database migration tools supporting minimal downtime, data validation, and integrity checks during transfer.
  • Automated CI/CD pipelines for continuous integration, delivery, and deployment workflows.
  • Secure access controls, identity management, and compliance monitoring aligned with regulations.
  • High availability and failover configurations to support system resilience and uptime.

Technologies Essential for Cloud Infrastructure Migration and Optimization

Terraform for infrastructure as code
Cloud provider-native services such as compute instances, storage solutions, and managed databases
CI/CD tooling integrated with cloud services for automated deployment
Security tools for vulnerability assessment and access management

External System and Service Integrations for Seamless Operation

  • Database services for data transfer and validation
  • Monitoring and alerting tools for system health and security oversight
  • Identity management and access control systems

Critical Non-Functional System Requirements

  • System scalability to accommodate future growth with elastic resource provisioning
  • High availability with minimal downtime during and after migration
  • Security and compliance standards adherence specific to regulated industries
  • Performance benchmarks ensuring rapid provisioning and deployment cycles

Anticipated Business Benefits from Cloud Migration and Infrastructure Optimization

The project aims to enable a more consolidated, scalable, and secure cloud environment, reducing infrastructure management complexity and operational costs. It is expected to improve system reliability and deployment speed, facilitating faster feature releases and compliance adherence. The migration could result in significant reduction of system downtime during transfers and offer long-term cost efficiencies through infrastructure automation and optimized resource utilization.

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