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How MQTT moves IoT data
MQTT is a lightweight publish/subscribe messaging protocol. A sensor, gateway, application, or other endpoint runs an MQTT client and connects to an MQTT broker, also called an MQTT server. The client publishes an application message to a topic; the broker forwards it to clients whose subscriptions match that topic. Publishers and subscribers are decoupled, so a device can send readings without knowing which services will consume them. MQTT is designed for constrained devices and networks where bandwidth may be limited. The OASIS MQTT 5.0 specification describes those use cases.
For example, a sensor might publish a temperature reading to site-a/device-17/telemetry/temperature. A backend ingestion service subscribes to a topic filter covering the relevant devices, receives matching messages, then processes or stores them. A command service can publish to a command topic that the device subscribes to. These topic names are an illustrative application design, not a requirement imposed by MQTT.
What an MQTT broker does
The broker accepts client connections, manages subscriptions, and routes publications to subscribers according to topic matching and the delivery options in use. It is the intermediary that makes publish/subscribe communication practical across many devices and consumers.
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- Publisher: sends a message to a topic, such as a device publishing a sensor reading.
- Subscriber: requests messages matching a topic or topic filter, such as an application subscribing to a device family’s telemetry.
- Broker: matches publications to subscriptions and forwards eligible messages.
The topic hierarchy is your application’s routing and organization scheme. MQTT does not define what a temperature payload means, require a particular JSON structure, or automatically create a history of readings. Define topic conventions and payload formats for your system, and configure broker permissions so each identity can publish and subscribe only where needed. Google Cloud’s architecture reference illustrates a broker-centered design while leaving application-specific organization to the implementation.
Design topics for telemetry, commands, and state
Keep different message purposes distinct in a predictable hierarchy. For example, a deployment might separate paths for telemetry, commands, reported state, and configuration. Use consistent identifiers for sites, devices, or device classes so subscribers can select the right scope without receiving unrelated messages.
- Telemetry: measurements and events a device reports, such as temperature or battery state.
- Commands: requested actions sent to a device that subscribes to its command path.
- Configuration: settings delivered to devices, with access restricted to authorized publishers.
- State: a current status or reported condition, potentially published as a retained message when a new subscriber needs the latest value.
Topic names alone are not a security boundary. Use broker authorization to restrict which clients may publish or subscribe to each path, and validate payloads in the application that consumes them.
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Choose MQTT QoS for the message’s consequences
Quality of Service (QoS) sets the protocol delivery behavior for a message exchange; it is not a blanket guarantee that an application has processed or durably recorded a message. Higher QoS levels involve additional protocol exchanges and therefore can add latency and bandwidth overhead. Delivery QoS can also be constrained by the subscriber’s requested QoS and broker/client behavior. The OASIS standard defines three levels:
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| QoS | Protocol meaning | Typical fit | Important caveat |
|---|---|---|---|
| 0 | At most once | Frequent samples where a later reading makes a missing one less important | No delivery acknowledgement; a message may be lost. |
| 1 | At least once | Readings or commands where retries are useful | Duplicates are possible; consumers should tolerate or deduplicate repeats. |
| 2 | Exactly once for the MQTT protocol exchange | Cases where the additional handshake is justified | More protocol overhead; it does not by itself guarantee exactly-once business processing. |
Choose per message type. A repeated temperature reading may be harmless, while a command that triggers an action may need an application-level command identifier and duplicate protection even when a higher QoS is used. If an action must be confirmed as completed, define an application acknowledgement or resulting state rather than treating MQTT delivery as proof of execution. The Eclipse Mosquitto manual documents implementation behavior and QoS details.
Support varies by broker and service. For example, AWS IoT Core documents support for QoS 0 and 1, but not QoS 2; that limitation is specific to AWS IoT Core, not MQTT generally.
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Retained messages are snapshots, not history
A retained publication lets a broker keep the latest retained message for a topic and send it to a later subscriber whose filter matches. When a new retained publication is made on that topic, it replaces the earlier retained value. This is useful for values such as a device’s latest reported status when a newly connected application needs an immediate snapshot.
Retained messages do not preserve every earlier measurement. If an application needs historical telemetry, trend analysis, or replay of all events, subscribe to the stream and write messages to a database or event store. MQTT itself is transport, not a time-series database. The Mosquitto manual describes retained-message behavior.
Handle intermittent connections with sessions and realistic limits
MQTT sessions can preserve subscriptions and eligible in-flight or queued QoS messages across disconnections when the client and broker are configured to do so. In MQTT 5, session-expiry settings make the intended persistence period explicit. This can help devices reconnect after an outage, but it does not promise indefinite storage or delivery.
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- Set session behavior and expiry to match how long a client may be offline.
- Check the broker’s queued-message quotas, storage capacity, and any message-expiry settings.
- Confirm which session and buffering features the selected broker or managed service actually supports.
- Decide how the application handles delayed, expired, duplicate, or out-of-order messages after reconnection.
These details are broker- and service-dependent. AWS IoT Core’s MQTT documentation describes that service’s MQTT capabilities; do not assume another broker has identical limits or behavior.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Place the broker at the edge, in the cloud, or in both
A small deployment may connect devices directly to a cloud broker. A site with unreliable wide-area connectivity or a need to keep local traffic local may use an edge broker, with selected topics bridged or otherwise forwarded to a cloud broker. In a combined design, local devices communicate with the site broker, while backend applications consume data in the cloud and send commands back through an appropriate route.
Google Cloud’s standalone MQTT broker architecture describes devices connecting to a broker cluster, backend workloads integrating with Dataflow or Pub/Sub, and a local broker linked to a cloud cluster through subscriptions. It is an architecture reference for operating a broker-based system, not evidence that Google provides a turnkey managed MQTT broker. The topology is an example, not a tested deployment or a guarantee that every broker supports the same bridging and buffering features.
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Secure the connection and restrict topic access
MQTT does not encrypt the network connection by itself. Use TLS for transport protection, then separately authenticate clients and authorize their topic actions. TLS protects traffic in transit; it does not decide which device may publish telemetry or subscribe to commands. The MQTT FAQ explains that encryption can be supplied separately, and RFC 9431 defines an authentication and authorization profile for constrained environments using MQTT over TLS.
- Give each device or gateway a distinct identity and protect its credentials.
- Apply least-privilege rules for publishing and subscribing to topic paths.
- Plan credential issuance, rotation, revocation, and recovery before deployment.
- Avoid anonymous public brokers for real device data.
- Check managed-service connection requirements. For example, AWS IoT Core documents Server Name Indication (SNI) requirements for applicable direct TLS connections.
Plan the implementation around the broker and application
Before choosing a broker, compare where it will run, what happens during network outages, which MQTT features and protocol versions it supports, how identities and topic permissions are managed, and how messages reach backend processing. A self-managed edge or cloud broker gives operational control but requires you to run and monitor it; a managed service shifts some operations to a provider but has service-specific feature limits and connection requirements.
Also verify current connection and throughput limits, availability design, storage quotas, and data-egress costs with the chosen provider. MQTT.org lists port 1883 for MQTT and 8883 for MQTT over SSL/TLS, but the actual listener, port, and network rules depend on the broker and deployment. Confirm the requirements for the service and environment you intend to use.
What MQTT does—and what the application must do
MQTT supplies message transport and topic-based routing. The application still has to define payload schemas, interpret readings, authorize meaningful actions, store history, and decide what a successful command means. Treat the broker as a communication component in the IoT architecture, not as a substitute for a data model, processing pipeline, or durable record system.
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