Building a Scalable, Multilingual, and Automated Video Platform for On-Demand Fitness
Creating a robust AWS-driven infrastructure for seamless video processing, multilingual support, and automated deployment.
About
The Client
A global leader in on-demand fitness delivers high-quality fitness media and programming to diverse environments. Their innovative platform provides users with tailored digital fitness content, accessible anytime and anywhere—from studio spaces to personal devices—offering the ultimate virtual fitness experience.
The
Challenge
Scalable Video Processing Architecture
The client required a flexible serverless infrastructure to manage high volumes of concurrent video uploads, media conversions, and metadata updates while integrating with Brightcove.
Multilingual Support
To expand globally, the platform needed to support Japanese, French, Spanish, and German without delaying releases or overburdening developers, making manual translation impractical.
Manual Deployments and Disparate Tech Stacks
Multiple B2B and B2C applications, each with unique tech stacks, led to inefficient manual deployments, errors, and release delays, preventing consistent, streamlined updates.
What Forgeahead Did
Forgeahead implemented a solution using AWS to address the client's scalability, translation, and deployment challenges
Serverless Video
Processing Pipeline
Built an automated serverless content pipeline using AWS Lambda, S3 triggers, AWS MediaConvert, and Amazon DynamoDB, with seamless Brightcove integration for efficient video management.
Automated Multilingual Translation Workflow
Utilized Amazon Translate to automatically handle video titles, descriptions, and subtitles in multiple languages. Batch processing and automated deployment via AWS Lambda and S3 triggers ensured efficient and consistent translation without manual intervention.
Unified App Management & Deployment Automation
Streamlined application management and deployment across environments with AWS Elastic Beanstalk and AWS CloudFormation, enabling scalability, load balancing, and automated, error-free deployments.
Role of AWS in Building
the SaaS Application
AWS was instrumental in delivering the client’s vision for a highly scalable and multilingual platform
Video Processing
and Scalability
AWS Lambda, S3, and MediaConvert ensured scalable, automated video processing to handle growing content demands.
Global Reach with
Multilingual Support
Amazon Translate automated the translation process, reducing the development load and expediting international reach.
Automated and Consistent
Deployments
AWS Elastic Beanstalk and CloudFormation streamlined deployment processes, ensuring accuracy and reducing errors.
Seamless processing of 500+ videos per month with automatic scaling, boosting user engagement by 20% and reducing buffering by 15%.
Real-time metadata updates and smooth Brightcove integration for video uploads and metadata synchronization.
Global reach expansion through multilingual content, increasing international user engagement by 30% while reducing translation costs and time.
Automated workflows maintained release schedules, reducing manual errors by 40%.
Deployment times decreased by 30%, peak traffic performance improved by 25%, and system downtime reduced by 20%.
Ensured accurate and consistent deployments across environments.
AWS Services Used
EC2
DynamoDB
CloudFront
Route53
S3
SQS
Elastic Beanstalk
RDS
Translate
Media Convert
Lambda
Cloudwatch
SNS
QuickSight
Cognito
IAM
DevOps Tech Stack Used
AWS Code Commit
AWS Build
AWS Pipeline
Docker Containers
NodeJS
Python
Brightcove
Elastic Cloud
Sonarqube
What’s next?
Developing a Secure, Multi-Tenant SaaS Platform for Modern Learning
