E-learning Platform Architecture Template
Course delivery, video hosting, quizzes, and student progress tracking. Generate a complete cloud architecture with cost estimates, Terraform, sequence diagrams, CLI deployment workflows, and a GitHub Actions pipeline — on AWS, Azure, or GCP.
Production estimates. Your workspace generates actuals.
Architecture Overview
Hosts course video through a transcoding and CDN pipeline, runs an interactive quiz engine with progress persistence, issues digitally-signed certificates, and processes course purchase payments with access gating.
~8
cloud services
AWS Architecture Diagram
Full topology with all services and request flows — switch providers above to compare.
E-learning Platform - AWS - Production implementation lanes - CloudDesign AI
Architecture Breakdown
Every major component, what it does, and the AWS service powering it.
Raw Video Store
Amazon S3
Stores and retrieves data with durability and access controls.
Transcoder
Amazon SQS
Handles business logic and integrates with surrounding services.
CDN Delivery
Amazon CloudFront (Signed)
Distributes content globally with edge caching.
Course & Progress DB
Amazon ECS Fargate
Stores and retrieves data with durability and access controls.
Quiz Engine
AWS Lambda
Handles business logic and integrates with surrounding services.
Payment Processing
AWS Lambda
Handles business logic and integrates with surrounding services.
Email Notifications
AWS Lambda
Handles business logic and integrates with surrounding services.
API Server
Amazon API Gateway
Routes, authenticates, and rate-limits incoming requests.
Cost Estimate — AWS
Representative production estimate. Your workspace generates a breakdown based on your actual configuration.
AWS — $395 / month estimated
S3
Raw video storage
MediaConvert
Transcoding
CloudFront
CDN delivery
RDS Aurora
Course & progress
Lambda
Quiz engine
Stripe
Payments
SES
ECS Fargate
App server
Total estimate
$395 / month
What CloudDesign AI Generates
Every generation produces a complete set of production-ready artifacts.
Architecture Diagram
Full topology showing every service and how traffic flows between them.
Sequence Diagrams
Request lifecycle flows for upload, query, and overall system paths.
Cost Analysis
Per-service cost breakdown with total estimate for the selected provider.
Terraform Code
Complete infrastructure-as-code export you can deploy immediately.
CLI Deployment Workflow
Ordered provisioning commands for every service in the architecture.
GitHub Actions Pipeline
Ready-to-commit `.github/workflows/terraform.yml` for CI/CD.
Tradeoff Analysis
Cost, scalability, reliability, and operational complexity breakdown.
Production Checklist
Architecture-specific risks and mitigations before you go live.
Terraform Preview — AWS
Provider-specific infrastructure code. The full export is available after generating.
resource "aws_s3_bucket" "course_videos" {
bucket = "${var.prefix}-course-videos"
}
resource "aws_cloudfront_distribution" "cdn" {
enabled = true
price_class = "PriceClass_All"
}
resource "aws_db_cluster" "lms" {
cluster_identifier = "${var.prefix}-lms"
engine = "aurora-postgresql"
}
# + 295 more lines — generate the full export →Full Terraform export includes: variables, outputs, IAM roles, environment configs, and module structure.
Generate Full TerraformCLI Preview — AWS
Ordered provisioning commands for every service. The full workflow is generated in your workspace.
aws s3api create-bucket --bucket $PREFIX-course-videos --region $REGION
aws mediaconvert create-job-template --name $PREFIX-course-hls
aws rds create-db-cluster --db-cluster-identifier $PREFIX-lms \
--engine aurora-postgresql
aws cloudfront create-distribution
# + 22 more commands — generate the full workflow →Full CLI workflow includes: bucket creation, networking, IAM setup, application deployment, and health checks — in order.
Generate Full CLI WorkflowCloud Provider Mapping
Every architectural function mapped to its native service on AWS, Azure, and GCP.
Architecture Tradeoffs
How AWS, Azure, and GCP compare across the dimensions that matter most for this architecture.
Cost Efficiency
GCP's Transcoder API is priced more competitively than MediaConvert for educational content with moderate encoding volume.
Video Quality
AWS MediaConvert has the richest encoding profiles, codec support, and adaptive bitrate presets for LMS content.
Scalability
All three handle large course catalogs and concurrent learner sessions without architectural changes.
Live Session Support
Azure has the best managed WebSocket/SignalR support for live cohort sessions and real-time quiz delivery.
Certificate Generation
All three support PDF certificate generation via Lambda/Functions/Cloud Run with equivalent performance.
Production Risks for This Architecture
Known failure modes with concrete mitigations — included in every generated checklist.
Concurrent live session spike: WebSocket connection limits on API Gateway (10k per region) can be hit during live cohort sessions — use a managed WebSocket provider or AppSync for real-time features
Video CDN cost scaling with catalog size: large course libraries with long-tail views still incur per-request CloudFront costs — set up origin shield and cache policies tuned for educational content watch patterns
Certificate PDF generation bottleneck: Lambda cold starts during graduation-day completion spikes can queue certificate generation for minutes — pre-provision provisioned concurrency for the certificate function
Key Capabilities Covered
Frequently Asked Questions
Common questions about this architecture and what CloudDesign AI generates.
Generate the E-learning Platform Architecture
Get the full architecture diagram, cost breakdown, Terraform, CLI workflow, and GitHub Actions pipeline — specific to your chosen cloud provider.
Free account · No credit card required · 5 architecture runs per month