Search Results for "as built"

...A new AWS IoT Device SDK is now available. It is a complete rework, built to improve reliability, performance, and security. We invite your feedback! The SDK is built on top of the Paho MQTT Java client library. Developers can choose from two types of connections to connect to the AWS IoT service.

...Define relations between your devices, assets, customers or any other entities. Collect and store telemetry data in a scalable and fault-tolerant way. Visualize your data with built-in or custom widgets and flexible dashboards. Share dashboards with your customers. Define data processing rule chains. Transform and normalize your device data. Raise alarms on incoming telemetry events, attribute updates, device inactivity, and user actions.

TBMQ is a lightweight message broker built to support ThingsBoard's IoT platform, focusing on telemetry data streaming and device communication. It uses Kafka-compatible APIs and is optimized for high-throughput messaging, device scalability, and low-latency delivery. TBMQ is ideal for IoT backends needing MQTT or Kafka-style pub/sub infrastructure.

Next-generation AWS IoT Client SDK for Java using the AWS Common Runtime. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal, aws-c-auth, s2n...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Java by the aws-crt-java package. Consuming this SDK via Maven is the preferred method of consuming it.

...SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both infrastructures such as highly-available databases and MQTT brokers as well as microservices to facilitate various aspects of IoT project development. The platform is built with a framework approach using clearly defined APIs so that new technologies may easily be integrated as the IoT ecosystem evolves. SiteWhere is composed of Java-based microservices which are built as Docker images and deployed to Kubernetes for orchestration.