News Summary:
AlvaLinks noted the impact of live video on network infrastructure, demanding high throughput, low jitter, and deterministic performance. They also highlighted the emerging challenges posed by AI-driven applications, especially those using large prompts and real-time inference, which introduce new network requirements. Further, AlvaLinks acknowledged the persistent issue of elusive network disruptions causing user experience problems, packet loss, and latency spikes. The company also discussed the limitations of traditional observability platforms like Splunk, DataDog, and New Relic, which rely on logs, metrics, and traces. Finally, AlvaLinks addressed the shift from traditional monitoring, based on logs, metrics, and alarms, towards unified observability for anticipating and preventing application performance issues. Traditional network monitoring solutions using passive methods like SNMP or REST APIs were also mentioned.
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