Browse, learn from, and remix production architecture diagrams created by engineers worldwide.
End-to-end data flow for collecting, enriching, aggregating, and scoring user events — web and mobile sources feeding into ML and metrics stores. Reference pattern for any product analytics or telemetry pipeline.
Complete CI/CD flow from commit to production — build, test, security scan, deploy staging, smoke test, manual approval, blue-green production deploy. Shows decision points and parallel paths of a modern deployment pipeline.
Enterprise network layout with DMZ, internal zones, VPN gateway, and secure VLAN segmentation. Reference pattern for on-premises or hybrid network planning.
C4 architecture diagram of a banking system showing system context, containers, and interactions between customer-facing apps, internal services, and legacy mainframe integrations.
Relational schema for a typical e-commerce platform: customers, products, orders, line items, payments, and addresses. Solid foundation for any retail or marketplace backend.
The canonical OAuth 2.0 authorization code flow — user, client, auth server, resource server. Reference diagram for any team implementing or documenting SSO.
A multi-region active-active architecture on AWS for 99.99% uptime. Route 53 routes traffic with failover and latency-based routing between us-east-1 and us-west-2. Each region has an ALB, ECS Fargate services, RDS Aurora with cross-region replication, ElastiCache, and S3 with cross-region replication. CloudFront CDN sits in front. Include AWS Backup and Config for compliance.
End-to-end analytics stack on Google Cloud: Pub/Sub ingest, Dataflow transformation, BigQuery warehousing, Looker visualization. Modern lakehouse pattern with orchestration via Cloud Composer.
Streaming ingestion and analytics using Kinesis, Lambda, DynamoDB, and Redshift. Captures events, processes in real-time, archives for historical analysis. Ideal for telemetry, analytics, and monitoring workloads.
Decoupled microservices communicating through EventBridge with SQS queues for reliable async processing. Classic event-driven pattern for high-throughput, loosely-coupled systems.
Container-native microservices running on Kubernetes with ingress routing, per-service databases, shared cache, and async messaging. Production-ready pattern for containerized workloads at scale.