Arkona Technologies AT300
About
The Arkona Technologies AT300 connector provides centralized monitoring of Arkona AT300 FPGA-based processing cards with a focus on audio/video delay, signal timing alignment, and core system metrics. It gives operators real-time insight into delay configurations, pipeline status, and essential hardware telemetry such as temperature, fans, SFP optical levels, RAM usage, and system uptime.
Key Features
- Audio/video delay monitoring: Track configured delay values, active delay pipelines, and real-time processing status.
- Signal timing alignment: Monitor the timing consistency of incoming and outgoing video/audio streams to ensure frame-accurate alignment.
- System resource telemetry: View free RAM, FPGA load, CPU usage, and system uptime.
- Environmental metrics: Monitor temperature sensors, fan RPM, and thermal thresholds.
- Optical interface monitoring: Track SFP RX/TX power levels, link stability, and error counters.
Use Cases
Audio and Video Synchronization Assurance
Challenge: Lip‑sync issues, timing mismatches, and variable source latency can degrade broadcast quality.
Solution: The connector exposes real-time AT300 audio/video delay values and pipeline status.
Benefit: Operators can immediately detect misalignments and adjust delays to maintain perfect sync.
Monitoring Hardware Stability During Live Production
Challenge: Environmental issues (temperature, fans, optical signal degradation) can create unexpected outages.
Solution: AT300 environmental metrics such as temperature, fans, and SFP power levels are collected and visualized.
Benefit: Early detection of hardware issues prevents service interruption.
Monitoring Performance for Delay Pipelines
Challenge: Delay pipelines require predictable processing resources.
Solution: The connector provides insight into RAM usage, uptime, and FPGA/system load.
Benefit: Ensures delay pipelines run in optimal performance conditions.
Prerequisites
- AT300 PACs installed in a BLADE runner chassis.
- AT300 management interfaces reachable over the network.
- DataMiner version 10.5.0 or higher.