Start from a proven blueprint and adapt it to your system.
Baseline SaaS architecture with sync APIs, async job processing, webhook billing, and cache layer. Suitable for scalable web apps with background workloads.
Flash-sale ready storefront with CDN edge caching, search indexing, event-driven fulfillment, and Stripe payment webhooks. Handles spiky traffic via layered caching and async order processing.
Async enterprise integration pattern with reliable message queuing, exponential retry, and dead-letter isolation. Use when syncing internal systems with ERP without tight coupling.
LLM-powered chatbot with RAG vector retrieval, WebSocket streaming, multi-provider failover, and persistent chat history. Suitable for production AI assistants and copilot products.
Multi-source webhook receiver with signature validation, rate limiting, Kafka fan-out, and dead-letter alerting. Suitable for building reliable event intake from third-party platforms.
Scheduled scraper pipeline with URL-frontier queuing, document storage, full-text indexing, and CDN-cached read API. Use for aggregators, content trackers, or data harvesting systems.
Domain-driven microservices with event sourcing, CQRS-style analytics write path, and dead-letter isolation. Use when services must evolve independently with async integration.
End-to-end CI/CD pipeline with containerized builds, secrets injection, staged rollout (staging → production), and Prometheus/Grafana observability. Use when shipping containerized services reliably.
Walkthrough of core ArchFlow interactions: drag & drop, node connections, inspector edits, template selection, and export. Start here to learn the tool.
Realtime messaging system with WebSocket channels, pub/sub presence tracking, durable message history, media uploads, and error telemetry. Use for chat products, collaborative tools, or live feeds.
Video transcoding pipeline with async job queuing, multi-bitrate FFmpeg encoding, S3 segment storage, CDN delivery, and real-time engagement analytics. Use for VOD and streaming platforms.
Multi-tenant ERP platform with per-tenant schema isolation, shared API gateway, RBAC via Redis cache, and batch worker for reports and reconciliation. Use for B2B SaaS platforms.
Autonomous AI agent with LLM inference, RAG retrieval, tool execution, async job queue for long tasks, human approval checkpoint, and persistent memory. Use for copilots, autonomous workflows, and AI agents.
Resilient event pipeline with parallel consumers, dead-letter parking, manual replay trigger, and PagerDuty alerting. Use to build observable, fault-tolerant event-driven systems.
Feature flag system with real-time evaluation engine, Redis hot cache, PostgreSQL source of truth, and A/B impression tracking. Use for progressive rollouts, killswitches, and experimentation.
High-throughput analytics pipeline ingesting clickstream events via Kafka, processing in real-time with Flink, archiving with Spark to S3, and querying with ClickHouse for live dashboards.
Search and recommendation system with Elasticsearch full-text retrieval, ML-powered ranking and embedding, collaborative filtering, and real-time click event feedback loop.
Active-passive multi-region setup with DNS global load balancer, primary/replica PostgreSQL replication, and automated health-check-driven failover. Use for high-availability APIs with sub-minute RTO.
Edge-deployed AI search with serverless query processing, embedding-keyed semantic cache, vector retrieval grounding, and OpenTelemetry request tracing. Suitable for low-latency AI search products.