Executive Summary
Creedom.AI successfully migrated its global infrastructure from a fragmented multi-cloud environment spanning three cloud providers and on-premises systems to a unified, high-performance platform on AWS. By consolidating resources from Microsoft Azure, Google Cloud Platform, and Digital Ocean, the company eliminated technical roadblocks. This transition led to a 35% reduction in infrastructure costs, improved system uptime to 99.95%, and delivered a 60% efficiency gain that enabled the team to focus on innovation rather than maintenance.
Customer Overview
Creedom.AI is a technology company specializing in data-heavy applications and artificial intelligence. To support its rapid growth, the company originally managed over 120 virtual workloads and 15TB of data across multiple cloud services. While this approach was viable initially, managing a footprint across multiple disparate systems eventually became a significant challenge for performance, security, and centralized management.
The Problem Statement
The multi-cloud architecture created operational complexity that exceeded the team’s management capacity. The engineers faced several critical challenges:
- System Fragmentation: Managing disparate networking rules and security policies increased operational workload, leading to a 40% increase in time spent on manual configuration.
- AI Development Slowdowns: The lack of a unified data platform hindered the deployment of new machine learning models, with new environments taking as long as 4 days to provision.
- Security Risks: Having access controls distributed across different providers made it difficult to maintain a consistent security posture, with compliance checks requiring 2-week manual efforts.
- Maintenance Burden: Engineering teams were spending approximately 50% of their time on routine maintenance instead of developing new AI products.
The Solution
Creedom.AI partnered with Teleglobal International to migrate its entire digital footprint to AWS using a structured, phased technical approach.
- Scalable Computing and AI – The team migrated its mission-critical workloads to a Multi-AZ EC2 architecture to ensure high availability during peak traffic. To accelerate its AI initiatives, the company leveraged Amazon Bedrock to build generative AI applications without needing to manage the underlying infrastructure. They also implemented Amazon SageMaker to automate the training and deployment of machine learning models, which reduced training times by 45%.
- Enhanced Security and Management – Security was re-architected using AWS IAM to centralize identity management. The company implemented AWS Secrets Manager to securely manage application credentials, ensuring automatic rotation and eliminating hardcoded secrets. This centralized approach, along with VPC isolation and automated threat detection, helped reduce security vulnerabilities by approximately 75%.
Business Impact
The migration to AWS provided Creedom.AI with a scalable infrastructure that enables rather than constrains growth:
- 100% Consolidation: Successfully migrated all resources from multiple providers into a unified AWS environment.
- 35% Cost Reduction: Achieved lower and more predictable spending through right-sizing and optimized payment plans.
- 99.95% Uptime: Established enterprise-grade reliability through tools that balance traffic and proactively monitor for problems.
- 80% Faster Deployment Times: The time required to provision new AI environments and test features decreased from several days to under 2 hours.
- 60% Efficiency Gain: Reduced the time spent on operational maintenance, which enabled the team to launch 2 new product lines in the first few months post-migration.
Customer Perspective
“TeleGlobal supported us in migrating our workloads from Azure and on-premises infrastructure to AWS, and the experience was seamless. Their team demonstrated strong expertise in AWS migration planning, execution, and optimization. The transition was completed with minimal downtime, improved performance, and better cost visibility. TeleGlobal’s proactive approach and clear communication made the entire migration process smooth and efficient. We highly recommend TeleGlobal for organizations looking to migrate from Azure or on-prem environments to AWS.”
— Aswin Dhananjai Krishnaswamy
Co-founder & CEO, Creedom.AI
Migration by the Numbers:
- 3 Cloud platforms consolidated into 1.
- 120+ Workloads migrated successfully.
- 99.95% Uptime achieved for core applications.
- 75% Reduction in security risk.
- 35% Reduction in infrastructure costs.
Bottom Line
Creedom.AI moved everything to AWS and brought all systems under one platform. This helped reduce costs, improve uptime, and speed up new deployments. The team now spends less time fixing infrastructure issues and more time building AI products. With a stronger setup in place, the company can grow and innovate with ease.