How a live media & entertainment organization strengthened network observability for live event operations
A leading live media and entertainment organization implemented Selector to strengthen observability across venues, media operations, and critical network infrastructure. By combining AI-assisted analysis, real-time telemetry, and natural language operations, the organization accelerated troubleshooting, expanded multicast visibility, and established a foundation for future automation initiatives.
At a glance
Live media & entertainment organization
Media, entertainment, & live events
Cloud
- Improve root-cause analysis across a complex multi-vendor network environment
- Enhance observability for live streaming and broadcast operations
- Modernize multicast monitoring and telemetry collection
- Simplify access to operational data across technical teams
- Support AI-driven operations and automation initiatives
- Improve venue availability and operational reporting
- Selector Copilot
- AI-Assisted Root Cause Analysis
- Data Normalization & Context Enrichment
- Multicast Observability
- Digital Twin & DVR Playback
- Selector MCP Server
- GNMI Telemetry Collection
- Faster troubleshooting during live events
- Expanded visibility across venues, media operations, and network infrastructure
- Creation of event operations dashboards
- Modernized multicast monitoring capabilities
- Improved reporting and infrastructure reliability
- Foundation for AI-assisted operations and automation
Challenge
The organization needed better visibility across live broadcasts, streaming services, venue infrastructure, and network operations to maintain reliable digital experiences. Troubleshooting often required correlating data from multiple systems, slowing root-cause analysis during critical events.
Solution
Selector unified telemetry from network, media, streaming, and venue systems into a centralized observability platform. With AI-assisted analysis, natural language access through Selector Copilot, and enhanced GNMI and multicast visibility, teams gained faster access to operational insights and troubleshooting workflows.
Impact
Operations teams gained broader visibility across critical infrastructure, enabling faster investigation and more informed decision-making during live events. The deployment also improved reporting, multicast observability, and operational readiness while establishing a foundation for future AI and automation initiatives.
Building a more connected view of live event operations
For large live media and entertainment organizations, infrastructure reliability is directly tied to audience experience. Live streaming platforms, media distribution systems, venue connectivity, operational communications, and production workflows all depend on technology operating reliably before, during, and after events.
As digital services and IP-based media operations expanded, the organization needed a more effective way to monitor and understand infrastructure behavior across venues, media facilities, and core network environments. Operational teams required broader visibility into network health, multicast performance, service availability, and event readiness.
The goal was not simply to improve monitoring. The organization wanted to establish an operational intelligence layer capable of supporting both current operational requirements and future innovation initiatives involving AI, automation, and advanced observability.
Key challenges
Multi-Domain Infrastructure Complexity
Network, media distribution, streaming, and venue operations generated telemetry across numerous vendors and operational systems.
Limited Multicast Visibility
Critical multicast services lacked modern observability capabilities and real-time telemetry collection.
Manual Investigation Processes
Engineers often had to gather information from multiple systems before identifying probable root causes.
Large Operational Footprint
Dozens of venues, media facilities, and infrastructure sites required consistent monitoring and reporting.
Restricted Access to Operational Insights
Understanding network telemetry often required specialized expertise and tool-specific knowledge.
Expanding Automation Initiatives
Future operational goals required support for AI-assisted workflows and automation frameworks.
Managing operational complexity during high-visibility events
The organization supports a highly distributed environment spanning venue operations, media production systems, streaming platforms, and network infrastructure. Any disruption has the potential to impact live broadcasts, digital experiences, or operational workflows during critical event windows.
As telemetry volumes increased, operational teams found it increasingly difficult to correlate information across separate monitoring platforms. While individual systems provided useful data, assembling a complete understanding of infrastructure conditions often required significant manual effort.
The organization also needed stronger visibility into multicast traffic and service dependencies supporting media distribution workflows. Existing monitoring approaches lacked the telemetry depth required to support real-time operational decision-making.
At the same time, the organization was investing in automation and AI-driven operations. Existing tools were not designed to support natural language operations, advanced correlation, or future agent-based workflows.
Establishing a modern observability platform for live event infrastructure
Selector was deployed as a centralized observability and operational intelligence platform spanning network infrastructure, media distribution systems, venue operations, and streaming environments.
The platform ingested and normalized telemetry from diverse infrastructure sources, enabling teams to investigate issues through a unified operational workflow. AI-assisted correlation and root-cause analysis helped identify probable causes faster while reducing the effort required to analyze data across multiple systems.
Selector Copilot provided natural language access to operational data, allowing teams to query infrastructure conditions and telemetry using plain-English requests. This expanded access to operational insights beyond specialists with deep platform expertise.
The deployment also introduced GNMI-based telemetry collection and multicast observability capabilities, creating a richer understanding of network behavior and service health across the organization’s critical infrastructure.
What Selector enabled
Natural Language Operations
Enabled teams to query infrastructure and operational data using plain-English requests.
AI-Assisted Root Cause Analysis
Accelerated investigation of issues affecting streaming, media delivery, and network services.
Multicast Observability
Introduced modern telemetry collection and visibility into multicast infrastructure and service delivery.
Venue Availability Intelligence
Provided broader visibility into site health, connectivity, and operational readiness.
Event Operations Dashboards
Delivered operational reporting and visibility for live event support teams.
Automation Integration
Created a framework for future AI agents, orchestration workflows, and operational automation.
Advancing operational intelligence without disrupting existing workflows
The organization needed a solution capable of improving observability while fitting seamlessly into existing operational processes supporting live events and media distribution.
Selector integrated with existing infrastructure and monitoring investments while introducing new capabilities that could be adopted incrementally. This reduced implementation risk while accelerating operational value.
The approach also balanced immediate operational improvements with long-term modernization goals. Enhanced telemetry collection, AI-assisted workflows, and automation capabilities were introduced without requiring teams to replace existing systems or redesign operational processes.
Just as importantly, the platform established a foundation that could evolve alongside the organization’s future initiatives in automation, AI-assisted operations, and real-time infrastructure intelligence.
Creating faster, more informed operational response
Following deployment, operations teams gained broader visibility across venue infrastructure, media distribution services, streaming environments, and critical network systems. Enhanced dashboards and telemetry sources provided richer context for both routine operations and high-profile live event support.
The introduction of GNMI-based multicast monitoring addressed a longstanding observability gap and created a path toward more real-time operational awareness. Teams could investigate service behavior and infrastructure conditions with significantly more context than previous workflows allowed.
The deployment also improved reporting, alerting, and infrastructure monitoring practices while establishing a scalable platform for future AI-assisted operations and automation initiatives.
Results snapshot
Venue Coverage
Monitoring across dozens of venues and operational sites
Event Operations Visibility
Introduced recurring event operations dashboards and reporting
Multicast Observability
Modern telemetry-driven multicast monitoring capabilities
Infrastructure Scale
Monitoring across thousands of network devices
High Availability Architecture
Redundant telemetry collection across multiple data centers
Operational Reporting
Enhanced availability, connectivity, and performance reporting
AI Readiness
MCP-enabled integration supporting future agentic AI initiatives
Operational Efficiency
Faster investigation and troubleshooting workflows
Extending the foundation for intelligent operations
The organization continues to build upon the observability foundation established through Selector. Existing investments in telemetry modernization, AI-assisted operations, automation frameworks, and operational reporting provide opportunities to further expand visibility and automate increasingly complex workflows.
As digital media platforms, venue technologies, and infrastructure environments continue to evolve, the organization is positioned to leverage richer telemetry, broader automation, and more advanced AI-driven operational capabilities.
The result is a stronger operational foundation capable of supporting reliable live-event experiences while enabling continued innovation across network, media distribution, and infrastructure operations.
