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Architecture and working principle

Why we need telemetry upload system

In RDK Telemetry, the process of ingestion refers to the collection of telemetry data from various sources within the RDK ecosystem, such as applications, subsystems, and network interfaces. This data is then brought into a central system for processing and analysis. The transformation aspect involves converting this raw telemetry data into a format that is useful for analysis. This may include structuring, filtering, and enriching the data to make it more meaningful for specific uses, like performance monitoring or issue diagnosis. The transformed data can then be used for various purposes, including troubleshooting, network optimization, and improving user experiences. This process ensures that the vast amounts of data generated by RDK devices are effectively utilized to enhance service delivery and operational efficiency.

This reference setup is a simpler solution to upload and view telemetry data from RDK devices based on the Spring boot  based Microservice – Elasticsearch DB – Kibana architecture which are used in data processing, data storage and data visualization, respectively.

Architecture and a brief overview of the work flow

Advantages of the reference telemetry setup

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3.Performance Analysis: By tracking various metrics and KPIs, telemetry dashboards enable detailed performance analysis. This can lead to insights into trends, patterns, and potential areas for improvement.

How to setup the telemetry upload

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system

Elastic Search -  Kibana Setup

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