Modernizing a Global On-Demand Fitness Platform with Cloud-Native Video Workflows
Improving scalability, multilingual accessibility, and live streaming experiences through AWS-driven modernization
30% Increase in Global User Engagement
driven by multilingual accessibility and enhanced digital experiences
15% Increase in Sales Conversions
enabled through live streaming capabilities and interactive fitness experiences
About the Client
The client is a global leader in on-demand fitness content, delivering personalized digital workout programs accessible anytime and anywhere. The platform supports both structured training and flexible wellness experiences through a seamless, high-quality digital experience.
Industry
Wellness and Fitness
Years in business
14+ Years
Employee count
50+
Presence
USA, Europe, and Australia
“Forgeahead helped us modernize our cloud infrastructure in a way that improved scalability, reliability, and overall efficiency for our research platform.”
Dr. Michael Harrington
Chief Information Officer
the need
The client required modernization of its existing digital fitness platform to improve scalability, reliability, operational efficiency, and global accessibility.
As the platform expanded internationally, the existing infrastructure struggled to support multilingual experiences, intelligent media workflows, live streaming capabilities, and rapid feature delivery at scale. The organization needed a future-ready architecture capable of supporting increasing content volumes, distributed users, and evolving customer expectations without disrupting operations.
Key objectives included improving platform performance during high-demand periods, automating workflows, enhancing cross-device user experiences, and accelerating innovation through cloud-native transformation.
The client also aimed to deliver a more engaging fitness experience through real-time streaming, automated localization, and seamless global content delivery.
the solution
Forgeahead implemented a cloud-native, event-driven modernization strategy to improve scalability, automation, and global accessibility across the platform. The transformation focused on re-architecting media workflows to enhance performance, reliability, and continuous delivery while ensuring minimal disruption to existing operations.
Multilingual enablement was achieved through AI-powered subtitle generation and automated translation workflows. This allowed the platform to support global audiences at scale, reduce manual localization effort, and significantly improve content accessibility across regions.
A serverless, event-driven processing architecture was introduced to automate video ingestion, processing, and distribution workflows. This enabled elastic scaling based on demand and content volume while reducing infrastructure overhead and improving operational efficiency.
Live streaming capabilities were modernized to support interactive, one-to-many virtual fitness sessions. This enhancement enabled real-time trainer-user engagement and introduced a scalable subscription-based model to improve monetization and user interaction.
User experience was enhanced through improved playback performance, subtitle overlay integration, and cross-device compatibility. These improvements ensured consistent accessibility and seamless viewing experiences across mobile, web, and connected environments.
Automation and observability were strengthened through centralized monitoring, logging, and alerting mechanisms. This provided real-time system visibility, improved fault detection, and enhanced overall platform reliability and operational control.
The Impact
30% Increase in Global User Engagement
Multilingual subtitles and improved accessibility expanded content reach and drove higher user interaction across global markets.
15% Increase in User Engagement
Live streaming and enhanced viewing experiences increased active participation and improved overall platform engagement within the first quarter.
15% Increase in Sales Conversions
Interactive live sessions and improved user experience strengthened user trust and boosted subscription conversions across two quarters.
Significant Reduction in Manual Operations
Automated media workflows eliminated manual intervention in video processing, reducing errors and improving operational efficiency.
<$1 Per Video Subtitle Generation Cost
AI-driven transcription and translation workflows significantly lowered localization costs while improving turnaround time.
Improved Platform Reliability and Fault Tolerance
Event-driven architecture and centralized observability enhanced system stability, enabling faster issue detection and resolution.
Role of AWS
AWS provided the cloud-native foundation for modernization, enabling scalable media processing, automation, and global content delivery. The team used Amazon Transcribe and Amazon Translate for AI-driven transcription and multilingual subtitles at scale, improving accessibility and reducing manual effort. AWS Lambda powered serverless, event-driven workflows for media processing, enabling elastic scaling without infrastructure overhead. Amazon SNS and Amazon EventBridge orchestrated upload, processing, and notification workflows, ensuring seamless integration and real-time responsiveness. Amazon S3 and Amazon CloudFront delivered secure storage and low-latency global content distribution.
AWS Chime SDK enabled scalable, low-latency live streaming for interactive virtual fitness sessions, ensuring real-time engagement at scale. Amazon CloudWatch provided centralized monitoring, logging, and alerting to improve visibility and reliability. AWS Cognito and IAM enforced secure authentication and fine-grained access control, strengthening platform security and governance.
Tech Stack
The platform frontend used React.js, while the backend ran on Node.js and Python to support scalable APIs and media processing workflows. The media and streaming layer used Brightcove and AWS Chime SDK to enable reliable video delivery and real-time live streaming experiences.
The cloud-native architecture was powered by AWS services including AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon RDS, Amazon CloudFront, Amazon EventBridge, Amazon SNS, Amazon SES, Amazon CloudWatch, and Amazon Cognito, enabling serverless processing, secure storage, event-driven orchestration, monitoring, and authentication.
The DevOps and infrastructure layer used Docker, AWS CodeBuild, and AWS CloudFormation to automate CI/CD pipelines, build processes, and infrastructure provisioning for consistent and scalable deployments.