Designing a tailor-made embedded monitoring system that safeguards network stability

The solution uses three customized probes, including a Raspberry Pi-based embedded system, to run crucial performance, stability, and diagnostics tests. These probes handle commissioning tests for partners, perform service quality assurance tests for end customers, and continuously monitor key network elements. They gather the necessary data to resolve stability issues, safeguard bandwidth, and upgrade streaming quality for end-users.

The architecture was designed around three customized probes, including a Raspberry Pi-based embedded system, to run continuous performance, stability, and diagnostics tests. These probes monitor key network elements and gather data. This data is managed by a backend stack featuring Kubernetes, Prometheus & Alert Manager, and Grafana Loki, allowing the operator to analyze network stability, safeguard bandwidth, and resolve streaming quality issues.

The main objectives were to resolve end-customer complaints about bandwidth and streaming quality by gathering correct data to fix network stability issues. The system was designed to run commissioning tests for partners, assure service quality for end-users, and continuously monitor the network. Ultimately, the goals were to safeguard bandwidth, upgrade network stability and streaming quality, and increase client satisfaction.

Besides other telecoms, utility companies could use it to monitor smart grids, and Industrial IoT (IIoT) operators could track factory floor network stability. Logistics and supply chain firms might monitor warehouse connectivity. Furthermore, Content Delivery Networks (CDNs) and media streaming services could use similar probes to proactively test service quality, latency, and throughput from diverse geographic locations, ensuring a good end-user experience.

The hardware used for the probes included a Raspberry Pi-based embedded system and Intel NUCs for industrial applications. These probes were part of a "tailor-made hardware" solution. The technologies running on or managing these embedded systems included Linux (as the operating system), Python (likely for scripting tests), and OpenVPN (for secure connectivity), all interacting with the broader system architecture.