IoT Ingest & Control
Seamlessly Connect IoT Clients to Kafka at Scale
Bring device telemetry, commands, and events directly into Kafka without intermediary brokers, connectors, integration pipelines or custom code.

Key Challenge Areas for IoT Data Platforms
From connectivity to governance, IoT data platforms face hurdles across multiple dimensions that impact scale, security, and performance.
Security & Connectivity
Billions of IoT devices sit outside corporate networks, creating complexity in securely connecting them to Kafka without exposing brokers.
Scale & Performance
IoT systems generate massive telemetry volumes requiring near real-time ingestion, routing, and processing.
Protocol Diversity
IoT relies on MQTT, WebSockets, HTTP, and more — all needing consistent access to Kafka streams.
Data Quality & Governance
Non-conformant data disrupts downstream AI, analytics, and digital twin platforms.
Operational Complexity
Maintaining MQTT brokers, Kafka Connect, and custom integration code adds cost and DevOps fragility.


Make IoT Data Simple, Secure, and Scalable
Zilla turns Kafka into a governed, multi-protocol data platform — eliminating brokers, connectors, and custom code while ensuring scale and compliance.
Turn Kafka into an MQTT broker
Enable IoT devices to publish and consume directly from Kafka without dedicated MQTT brokers, Kafka Connect, or custom middleware.
End-to-end data integration
Once in Kafka, IoT data can flow to microservices, databases, analytics platforms, and AI/ML pipelines for real-time business value.
Built-in stream processing
IoT data is immediately available for enrichment via Kafka Streams, Flink, ksqlDB, etc.
Governance-ready
Integrate with schema registries and AsyncAPI for validation, masking, and compliance. Apply consistent policies across device and enterprise data.
Unified analytics
Blend IoT telemetry with historical and enterprise data in Kafka for a single analytics plane spanning your entire deployment.


Use Cases
Real IoT Use Cases, Powered by Aklivity
From factories to fleets, see how Zilla connects devices, secures data, and delivers business value at scale.
Connect PLCs/edge gateways via MQTT/WebSocket; route telemetry and alerts to Kafka; expose governed APIs to MES, CMMS, and digital twin apps.
Ingest device telemetry and command/control; publish standards‑based APIs for mobile apps, support portals, and partner ecosystems.
Aggregate GPS/telemetry from vehicles and assets; enable near‑real‑time ETA, anomaly detection, and usage‑based pricing APIs.
Unify HVAC/lighting/occupancy feeds; provide governed, multi‑tenant access for integrators and municipal apps without exposing core brokers.


No MQTT brokers, no Kafka Connect, no custom code
Zilla natively mediates between MQTT and Kafka protocols. Messages are persisted directly in Kafka topics and instantly available to Kafka clients, processors, and analytics tools. Zilla Gateways are stateless, horizontally scalable, and keep Kafka protected from IoT-scale client connections.



Key Capabilities
Built on the Standards IoT Teams Rely On
Zilla ensures your IoT data flows securely and scales anywhere — without breaking compatibility with existing protocols or tools.
MQTT
Native MQTT (v3.1.1 & v5.0) support — publish, subscribe, QoS, retained messages, Last Will.
Sparkplug B
Sparkplug B support for industrial IoT.
AsyncAPI-compliant
AsyncAPI for configuration and message validation.
Stateless Design
Stateless design for elastic scaling on Kubernetes.
Observability
Observability with OpenTelemetry, Prometheus, and logging integrations.
Deploy Anywhere
Deploy in the cloud, on-prem, or at the edge.




Related Resources

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