Aviz Networks outlines observability changes for the AI era

Aviz Networks podcast episode reports that network observability is shifting to software-first, open models to address AI-era telemetry, scalability and interoperable operations, and explains implications for enterprise IT and security decision-makers.

Research Overview

The episode featured Ilona Gabinsky and Chris DePuy and examined how the Artificial Intelligence (AI) Edge Resource Allocator (ERA) introduced new computing silos across on-premises (on-prem), cloud and AI-specific environments alongside existing IT systems.

Discussion emphasized that infrastructure expansion and diversified workloads have changed where and how telemetry must be collected and correlated.

Key Findings

Telemetry was described as the foundational layer that connects distributed compute and networking domains as AI-driven traffic alters volume and data types collected for observability.

The conversation identified that scale and performance requirements have outpaced traditional observability tooling and that fragmented manual workflows fail to support rising operational demands.

Technical Breakdown

Speakers outlined a shift toward software-first, open and interoperable observability models intended to enable integration across diverse environments and reduce vendor-specific dependencies.

The discussion noted that as AI infrastructure expands beyond conventional IT, telemetry must accommodate new protocols, higher throughput and varied telemetry sources to maintain usable insights.

Operational Impact

The episode highlighted cost pressures from cloud consumption and the erosion of clear network perimeters as factors prompting re-evaluation of observability architecture.

Participants described the emergence of AI copilots and automation to address real-time operations and to replace manual, fragmented processes that do not scale.

Leadership Perspective

Speakers presented a risk-focused view on cloud cost, vendor lock-in and long-term flexibility and described open, software-first observability as a path to lower operational risk.

The conversation framed scalability and performance as primary decision criteria for enterprise teams selecting observability approaches and tools.

Overall, the episode concluded that observability must evolve to support telemetry-first operations, scale for AI workloads and operate across interoperable software layers; this “Blog Signals brief” is a fact-based summary of the vendor blog.