Closing the observability gap for the AI-ready enterprise
Sponsored NETSCOUT piece argues MELT telemetry leaves dangerous gaps for AI-driven enterprise operations.
A sponsored Register article quotes NETSCOUT's Jack Callahan on using observability to decide whether outages or attacks are material under disclosure deadlines. It argues metrics, events, logs, and traces lack cross-system context, citing NETSCOUT figures that 82 percent of organizations report visibility gaps and 42 percent estimate downtime at $500,000 to $999,000 per hour. The piece promotes packet-level data to enrich existing tools for AI-driven operations.
- Sponsored NETSCOUT commentary, not an incident report.
- 81 percent say insufficient data slows incident resolution.
- 42 percent estimate downtime at $500,000 to $999,000 hourly.
- Sampled MELT telemetry can mislead autonomous AI operations.
From the original article
8 min read at theregister.comSPONSORED FEATURE: Why AI-driven operations need a data-rich view of the network
By Phil Muncaster · theregister.com
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