Social Media Backend Architecture Template
News feed, follows, media uploads, and real-time notifications at scale. 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
Manages user posts and builds per-user feeds from follow graphs, stores media in object storage behind a CDN, and delivers real-time notifications via a publish/subscribe layer with a content moderation queue.
~8
cloud services
AWS Architecture Diagram
Full topology with all services and request flows — switch providers above to compare.
Social Media Backend - AWS - Production implementation lanes - CloudDesign AI
Architecture Breakdown
Every major component, what it does, and the AWS service powering it.
API Server
Amazon API Gateway
Routes, authenticates, and rate-limits incoming requests.
User & Post DB
Amazon ECS Fargate
Stores and retrieves data with durability and access controls.
Feed Cache
Amazon ECS Fargate
Serves high-frequency reads at sub-millisecond latency.
Media Store + CDN
Amazon CloudFront
Stores and retrieves data with durability and access controls.
Fanout Queue
AWS Lambda
Decouples producers from consumers for async processing.
Push Notifications
AWS Lambda
Handles business logic and integrates with surrounding services.
Full-text Search
Amazon OpenSearch Service
Indexes and retrieves content with full-text and vector search.
Moderation Queue
AWS Lambda
Decouples producers from consumers for async processing.
Cost Estimate — AWS
Representative production estimate. Your workspace generates a breakdown based on your actual configuration.
AWS — $600 / month estimated
ECS Fargate
App server
RDS Aurora
Users & posts
ElastiCache
Feed cache
S3 + CloudFront
Media + CDN
SQS + SNS
Fanout + push
OpenSearch
Full-text search
Rekognition
Content moderation
CloudWatch
Monitoring
Total estimate
$600 / month
What CloudDesign AI Generates
Every generation produces a complete set of production-ready artifacts.
Architecture Diagram
Full topology showing every service and how traffic flows between them.
Sequence Diagrams
Request lifecycle flows for upload, query, and overall system paths.
Cost Analysis
Per-service cost breakdown with total estimate for the selected provider.
Terraform Code
Complete infrastructure-as-code export you can deploy immediately.
CLI Deployment Workflow
Ordered provisioning commands for every service in the architecture.
GitHub Actions Pipeline
Ready-to-commit `.github/workflows/terraform.yml` for CI/CD.
Tradeoff Analysis
Cost, scalability, reliability, and operational complexity breakdown.
Production Checklist
Architecture-specific risks and mitigations before you go live.
Terraform Preview — AWS
Provider-specific infrastructure code. The full export is available after generating.
resource "aws_ecs_cluster" "social" {
name = "${var.prefix}-social"
}
resource "aws_elasticache_replication_group" "feeds" {
replication_group_id = "${var.prefix}-feeds"
node_type = "cache.r7g.xlarge"
num_cache_clusters = 2
}
resource "aws_opensearch_domain" "search" {
domain_name = "${var.prefix}-search"
engine_version = "OpenSearch_2.11"
}
# + 330 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 ecs create-cluster --cluster-name $PREFIX-social
aws elasticache create-replication-group \
--replication-group-id $PREFIX-feeds --cache-node-type cache.r7g.xlarge
aws opensearch create-domain --domain-name $PREFIX-search
# + 24 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.
Feed Performance
GCP Memorystore for Redis provides the lowest latency feed reads; ElastiCache and Azure Cache for Redis are comparable.
CDN Cost
AWS CloudFront and GCP Cloud CDN both offer competitive media egress pricing versus Azure CDN at high volumes.
Push Notifications
Firebase Cloud Messaging (GCP) is the most battle-tested push system for mobile; SNS and Event Grid work well for web.
Search Quality
OpenSearch and Azure AI Search offer the richest full-text + hybrid search; Vertex AI Search brings strong semantic ranking to GCP.
Operational Complexity
GCP Cloud Run auto-scales to zero and requires less container orchestration management than ECS Fargate or Container Apps.
Production Risks for This Architecture
Known failure modes with concrete mitigations — included in every generated checklist.
Fan-out storm on high-follower accounts: a single post from an account with 1M followers triggers 1M feed write operations — implement a hybrid push/pull strategy for accounts above a follower threshold
Feed staleness vs. freshness tradeoff: aggressive Redis TTLs keep feeds fresh but increase database read load — tune expiry per account activity level rather than a global TTL
Full-text search index lag under write volume: OpenSearch index refresh delay means new posts won't appear in search for up to 1 second — acceptable for most feeds but document this SLA to stakeholders
Key Capabilities Covered
Frequently Asked Questions
Common questions about this architecture and what CloudDesign AI generates.
Generate the Social Media Backend Architecture
Get the full architecture diagram, cost breakdown, Terraform, CLI workflow, and GitHub Actions pipeline — specific to your chosen cloud provider.
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