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Fragmented infrastructure data
Servers, GPUs, power systems, and cooling equipment expose different protocols and data formats, making monitoring harder to unify.
EMQX FOR DATA CENTERS
MQTT data backbone for data centers
Unify power, cooling, and facility telemetry with EMQX, and connect AI agents for intelligent data center operations.
- Messages per second
- 1M+
- Message latency
- <10ms
- Service availability
- 99.99%
- Native integrations
- 50+
Overview
Why MQTT for data center monitoring
Bring equipment and IT telemetry together so monitoring applications and AI agents can use the same infrastructure data.
Latency kills intelligence
Polling intervals can delay alerts when GPU temperatures rise. Real-time telemetry helps monitoring tools and AI agents detect changes and respond sooner.
Growing telemetry volume
More assets and higher sampling rates increase the load on data collection, processing, and storage systems.
Architecture
Unify data center telemetry with EMQX.
Route unified facility telemetry to monitoring systems, analytics, and AI agents through a shared MQTT backbone.
Facility systems
Power systems
Cooling and environment
Energy monitoring
Security systems
MQTT platform
EMQX Cluster
EMQX Node 1
Rule Engine
Data Integration
EMQX Node 2
EMQX Node 3
EMQX Node N
Operations and analytics
Monitoring systems
DCIM
BMS
Alerting
AI agents
Example agent roles
Diagnostics
Alert triage
Operator assistance
Data and analytics
Apache Kafka
Data lake
BI dashboards
Multi-protocol ingestion
Collect MQTT telemetry directly and use compatible gateways for equipment protocols such as SNMP and Modbus.
Real-time data backbone
Unify power, cooling, and facility telemetry in one MQTT messaging layer for monitoring, analytics, and AI agents.
Connect your monitoring stack
Send equipment telemetry to supported databases or streaming systems for monitoring, dashboards, and analysis.
Capabilities
Why EMQX for data center monitoring
Unified data routing
Bring equipment telemetry into one messaging layer that multiple monitoring and analytics applications can use.
Rule engine guideHigh-throughput messaging
Distribute connections and message processing across an EMQX cluster for demanding telemetry workloads.
Performance guideHorizontal scaling
Add broker capacity as infrastructure, sampling frequency, and application demand grow.
Clustering guideSecurity and resilience
Combine clustered deployment with TLS, client authentication, and topic-level access controls.
Security guideAI agent connectivity
Connect AI agents to selected telemetry through MQTT and supported integrations for diagnostics and operational assistance.
AI connectivity guideIndustrial connectivity
Use EMQX Neuron or compatible gateways to collect industrial equipment data and publish it over MQTT.
Connectivity guideApplications
What you can build for data centers
Predictive maintenance
Feed equipment telemetry into models that identify failure risks and help maintenance teams prioritize work.
Energy optimization
Combine power and temperature data to identify cooling inefficiencies and improve power usage effectiveness (PUE).
Anomaly detection
Stream equipment readings and events to systems that detect operational deviations and trigger alerts.
Intelligent operations
Connect AI agents to selected telemetry for diagnostics, alert triage, and recommended next steps for operators.
Customer story
Connecting data centers across facilities
A global data center operator uses campus and regional EMQX clusters to connect SCADA telemetry with cloud analytics and time-series storage. The published deployment combines on-premises systems, BYOC, and Sparkplug B across multiple facilities.
Read the deploymentResources
Explore EMQX for data centers
FAQ
Frequently asked questions
MQTT distributes telemetry from equipment and gateways to subscribed applications. Its publish-subscribe model lets multiple monitoring tools use the same data stream.
EMQX provides the messaging and data integration layer. Your monitoring, visualization, and analytics tools use the telemetry to create dashboards, alerts, and operational insights.
Prometheus can collect EMQX broker metrics, which Grafana can visualize. Equipment telemetry can reach dashboards through a suitable database, stream processor, or application integration.
EMQX unifies equipment telemetry and routes selected data to AI agent applications through MQTT or supported integrations. Your application can expose telemetry and tools through MCP over MQTT to support diagnostics, alert triage, and operator assistance.
Yes. EMQX cluster linking can share messages on selected MQTT topics between facility and regional clusters. This lets you keep data collection close to equipment while making selected telemetry available to monitoring, analytics, and AI agent applications across sites.
Enable intelligent data center operations with EMQX
Plan unified facility telemetry and AI agent integration with an EMQX expert.