How Selector Unifies Cloud and On-Prem Network Observability (Sponsored)

Why It Matters

Unified cloud and on‑prem observability reduces manual war‑room troubleshooting, speeds root‑cause identification and remediation, and gives teams consolidated performance and cost telemetry for hybrid cloud operations—helping organizations manage cloud migration complexity and control operational costs.

Summary

Selector.ai has added a cloud observability capability to its AI-driven network telemetry platform, enabling customers to ingest and normalize cloud provider logs, metrics, topology and inventory alongside on‑premises network data. The new “cloud engine” acts like a virtual appliance that reads cloud APIs or existing data lakes (S3, Stackdriver, etc.), enriches telemetry with metadata, and feeds Selector’s deterministic AI for cross‑domain correlation and actionable recommendations. The company emphasizes a data‑centric approach—standardizing diverse cloud formats so its AI can identify root causes across hybrid environments rather than treating cloud networking as a separate silo. The feature targets hybrid and cloud‑migrated networks where visibility and single‑pane correlation have been missing.

Original Description

Selector is extending its AI-driven network observability capabilities into public clouds. On today's sponsored episode, we dig into how Selector gathers and analyzes public cloud network telemetry, how it integrates cloud and on-prem network data to provide end-to-end visibility, how it integrates with third-party Application Performance Monitoring (APM) systems to correlate network and application performance, its options for cloud probes and synthetic tests, and more.

Our guest is Senior Global Systems Engineering Director John Heintz.

Links:

John Heintz on LinkedIn - https://www.linkedin.com/in/john-heintz/

Selector.ai - https://www.selector.ai/

Multi-Cloud Observability - Selector - https://www.selector.ai/multi-cloud-observability/

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