Stream Processing with Kafka at the Edge

At Bizmetric, we’ve pioneered a robust solution for stream processing with Kafka at the edge, leveraging Kubernetes for seamless deployment. Here’s how it works:

1. Data Streaming via MQTT Broker to Kafka
   Sensors and IoT devices transmit data to an optional MQTT broker, which then forwards messages to Kafka.

2. Data processing with KSQL
   KSQL allows processing data from Kafka topics and perform various transformations using SQL-like syntax, data stays in Kafka during processing.

3. Data Visualization with Elasticsearch and Kibana
   Cleaned data is seamlessly stored/archived in Elasticsearch.

4. Kubernetes Integration
   All components of our solution operate within a Kubernetes cluster, ensuring scalability and reliability.

5. Cloud Storage for Long-Term Persistence
   Business-critical data can be replicated to cloud storage for long-term retention and analysis.

Addressing Deployment Challenges

The deployment of our solution, particularly in the wake of Hivecell’s closure, presented unique challenges:

• Technology Transition
  We swiftly adapted to the absence of the Hivecell platform, ensuring uninterrupted functionality.

• Cost Implications
  We carefully evaluated our financial strategies to mitigate the economic impact of Hivecell’s closure.

• Support Constraints
  The lack of technical support and updates posed challenges, underscoring the need for robust solutions.

Bizmetric and Kelvin.ai Collaboration

Kelvin.ai
Kelvin Platform

+

Bizmetric
Technical Expertise


As part of our collaboration with Kelvin.ai, Bizmetric provided its core technical expertise while harnessing the Kelvin Platform to enhance efficiency, simplify and streamline deployment.