Prontopia Migration and Modernization from Google Cloud Platform to Amazon Web Services
Executive Summary
Prontopia provides AI-powered content creation and localization solutions that enable
businesses to generate, manage, and distribute digital content at scale. To support future
growth, improve platform scalability, and modernize its cloud architecture, Prontopia
engaged GoCloud to assess and migrate its workloads from Google Cloud Platform (GCP) to Amazon Web Services (AWS). GoCloud designed a governed multi-account Landing Zone using AWS Control Tower and modernized the platform by migrating containerized applications to Amazon EKS, databases to Amazon RDS for PostgreSQL, media storage to Amazon S3, and AI-powered workloads to AWS-native services. The target architecture incorporates security, monitoring, automation, and high-availability capabilities to deliver a scalable, resilient, and future-ready cloud platform.
About the Customer
Prontopia is an AI-powered content creation platform that enables organizations to generate, localize, and distribute digital content across multiple channels. The platform combines web applications, APIs, machine learning services, and video generation capabilities to streamline content production workflows. By leveraging automation and artificial intelligence, Prontopia helps businesses improve efficiency, accelerate content delivery, and enhance audience engagement while maintaining scalability and operational reliability
About Prontopia
Prontopia provides AIpowered content creation and localization solutions that enable businesses to generate, manage, and distribute digital content at scale. Their aim is to deliver intelligent, automated, and scalable technologies that simplify content production and enhance audience engagement. The applications Prontopia delivers help organizations accelerate content workflows, improve efficiency, and expand their reach across global markets.
Customer Challenge
Multiple containerized workloads –
Multiple containerized workloads running across separate GKE clusters, increasing operational complexity and infrastructure management overhead.
Legacy data and storage –
Legacy data and storage services requiring modernization to support improved scalability, availability, and disaster recovery capabilities.
Limited governance –
Limited governance, security visibility, and centralized operational controls needed to support future growth and enterprise requirements.
Challenges –
If left unaddressed, these challenges would have impacted Prontopia’s ability to scale efficiently, improve platform resilience, adopt advanced AI capabilities, and establish a secure, modern cloud foundation capable of supporting long-term business growth.
Why Amazon
Web Services
Amazon Web Services provides a comprehensive and continuously evolving cloud
platform that enables organizations to migrate, modernize, and scale businesscritical applications globally. GoCloud leverages AWS because of its enterprisegrade security, high availability, global infrastructure footprint, scalability, and
operational resilience. AWS offers a broad portfolio of managed services for
containers, databases, storage, AI/ML, security, and automation, helping
organizations reduce operational complexity while accelerating innovation. By
utilizing AWS best practices and modernization frameworks, GoCloud enables
improved agility, enhanced security, reduced operational risk, and faster delivery
of business value.
Why Prontopia
Chose GoCloud
As an AWS Advanced Consulting Partner, GoCloud demonstrated strong expertise
in cloud migration and application modernization aligned with AWS best practices
and Well-Architected principles. Prontopia selected GoCloud for its proven
capability to assess existing GCP workloads, design secure and scalable AWS
architectures, and execute complex migration initiatives with minimal business
disruption. GoCloud provided guidance on migration planning, landing zone design,
security, governance, and workload modernization, ensuring a structured
transition from GCP to AWS while supporting future growth and innovation
objectives.
GoCloud’s Solution
To address Prontopia’s scalability, modernization, and operational requirements,
GoCloud designed a secure and scalable AWS landing zone using AWS Control
Tower and AWS Organizations. Containerized applications running on Google
Kubernetes Engine (GKE) were migrated to Amazon EKS, while MongoDB
workloads were modernized to Amazon RDS for PostgreSQL and media assets were
migrated to Amazon S3. In addition, GoCloud implemented centralized monitoring,
security controls, CI/CD automation, AI-powered capabilities through Amazon
Bedrock, and high-availability services to establish a resilient, secure, and futureready cloud platform capable of supporting Prontopia’s continued growth.
Services Used
AWS Control Tower →
Centralized governance and multi-account setup with guardrails for compliance
AWS CloudFormation →
Automated provisioning and management of the infrastructure, ensuring consistency, repeatability, and scalability.
Amazon VPC (isolated per environment) →
Strong network isolation for dev, staging, and production
AWS Config →
Continuously monitors configurations and enforces compliance rules
AWS Security Hub →
Unified view of security posture with automated compliance checks.
Elastic Load Balancer (ALB) →
Distributes traffic securely across services for high availability and resilience
Amazon EKS →
Managed Kubernetes platform hosting API, Web, Localization, Content Search, and Video Generation workloads
Amazon GuardDuty →
Continuous threat detection and security monitoring across AWS accounts and workloads
Amazon RDS (PostgreSQL, Multi-AZ) →
High availability, automated failover, and scalability for critical databases.
AWS ALB (Application Load Balancer) →
Efficient traffic distribution with SSL termination and health checks
AWS X-Ray →
Distributed tracing for performance analysis and troubleshooting across microservices
Amazon S3 + CloudFront →
Secure, fast, and cost-efficient content delivery with global caching
AWS CodePipeline →
Automated CI/CD pipeline ensuring faster and reliable deployments
Amazon ElastiCache for Redis →
Low-latency event store and caching layer supporting application performance.
Cloudwatch →
Real-time monitoring, alerting, and centralized logging for system health visibility.
Amazon Bedrock →
AI and generative AI capabilities supporting content search, enrichment, and video generation services.
Amazon Inspector →
Automatically scans Amazon EC2 instances and Amazon ECR images to detect software vulnerabilities and configuration issues for improved workload security.
Architecture Diagram
Workflow
For Prontopia, a multi-account AWS environment was designed using AWS Control
Tower to provide governance, security, and workload isolation throughout the migration from GCP to AWS. Separate Production, Non-Production, Security, and Shared Services
accounts ensure operational separation and controlled access. Each environment runs
within a dedicated Amazon VPC spanning multiple Availability Zones (AZs) to provide
fault tolerance and high availability.
For Prontopia, a multi-account setup was created by using AWS Control Tower, details
of which are as follows:
• 2 Organizational Units (OUs) – Workloads OU and Security OU.
• 4 Core Accounts – Management, Security, Shared Services, and Workload Accounts (Production and Non-Production)
• AWS IAM Identity Center (SSO) providing centralized authentication and role-based access management.
• 20 preventive guardrails to enforce security and governance policies and 2 detective guardrails to detect configuration violations.
Security OU: Contains the Security Account responsible for centralized security monitoring, compliance reporting, audit logging, and threat detection services.
Workloads OU: Hosts Production and Non-Production environments, ensuring workload isolation and environment-specific governance controls.
Management Account: Responsible for AWS Organizations management, consolidated billing, and overall account governance.
Guardrails and Policies:
• Preventive guardrails (SCPs) restrict unsafe configurations (e.g., blocking public S3 buckets, enforcing strong IAM policies).
• Detective guardrails use AWS Config rules to continuously monitor compliance.
• All workloads and environments are accessed only via AWS SSO, eliminating multiple IAM credentials and ensuring federated identity.
Workloads & Applications:
• Non-Production: Application workloads run on Amazon EKS using dedicated node groups for API, Web, GPU, and Localization services, enabling testing, validation, and migration activities.
• Production: ECS Amazon EKS workloads operate across multiple Availability Zones for high availability and resilience. Amazon RDS for PostgreSQL (Multi-AZ deployment) serves as the central production database, providing transactional integrity for user data, content management, and application workloads. Automated backups, replication, and failover capabilities ensure high durability and minimal downtime while improving scalability and operational efficiency compared to the previous MongoDB deployment.
Amazon ElastiCache for Redis supports event-driven communication and lowlatency application performance, while Amazon Bedrock and GPU-enabled EKS workloads power AI-driven content search, localization, and video generation capabilities.
• Frontend Applications: Admin and Creator web applications are delivered through Amazon CloudFront and Application Load Balancers, providing secure and scalable access for users.
• AI & Content Services: Amazon Bedrock powers AI-enhanced content generation and search capabilities, while AWS Lambda supports automated video processing workflows triggered by Amazon S3 events. Prontopia utilizes AWS Config across all AWS accounts to maintain continuous visibility into resource configurations and compliance status. Configuration data, compliance history, and audit records are centralized to provide a unified view of the environment and support governance requirements. This approach enables consistent monitoring across Production and Non-Production workloads while improving operational transparency and audit readiness.
Monitoring & Security:
● CloudTrail and AWS Config enabled in all regions with logs centralized in the Log Archive account.
● Amazon CloudWatch provides application and infrastructure monitoring with alarms and dashboards.
● AWS GuardDuty and Security Hub aggregate security findings across accounts into the Audit account for centralized threat detection.
● Role-based access controls ensure developers work in Dev, QA/operations in Stage, and only authorized personnel access Prod.
Results, Operational Improvements, and Business Impact
• Established a secure and governed AWS multi-account architecture, improving visibility,security, and operational control across all environments.
• Increased application availability and resilience through Multi-AZ deployments, managed database services, and highly available Kubernetes workloads.
● Modernized the platform by migrating workloads from GCP to AWS, improving scalability, operational efficiency, and readiness for future AI-driven innovation.
