Getting StartedUse Cases
Use cases
How CloudSignal powers real-time applications across AI agents, IoT, live collaboration, and more.
Pick the use case closest to what you're building. Each page walks through topic design, code samples, and the CloudSignal features you'll lean on.
AI-era applications
Coordinate AI agents, LLM pipelines, and autonomous systems
IoT & edge computing
Connect sensors, gateways, and industrial systems
Real-time applications
Build chat, collaboration, and live dashboards
Why MQTT for these use cases?
MQTT is designed for:
| Property | What it means in practice |
|---|---|
| Efficiency | Minimal protocol overhead, fits constrained clients |
| Reliability | QoS levels and persistent sessions handle delivery guarantees |
| Scalability | Pub/sub decouples publishers and subscribers |
| Flexibility | Works across browsers, backend services, and devices |
Common patterns
Client-to-cloud
Clients / agents
CloudSignal
Backend processing
Dashboards / alerts
Cloud-to-client
Backend / admin
CloudSignal
Clients (commands, updates)
Peer-to-peer
Peer-to-peer fan-out
User A
CloudSignal
User B
Other subscribers
Agent coordination
Shared agent state
Orchestrator
CloudSignal
Agent A
Agent B
Agent C