Telecom teams are collecting more telemetry than ever, but still struggling to understand what’s really happening. This article breaks down why logs and metrics alone don’t deliver clarity, and how observability platforms like Yuvo help telcos cut through the noise, connect the dots, and act with confidence.

The Problem: Drowning in Data, Starving for Answers

Telcos have invested millions in monitoring tools, logs, KPIs, alarms, and dashboards.
They’re collecting:

• Per-second metrics from thousands of nodes
• Event logs from every domain: RAN, Core, Transport
• Ticketing systems full of alerts and incidents
• Dozens of dashboards that light up with every spike

And yet, when something goes wrong, the response is still the same:

“Where do we look first?”
“Is this even impacting the customer?”
“Which team owns this?”
“Has anyone checked the transport layer?”

That’s the difference between telemetry and observability.

Telemetry ≠ Observability

Telemetry is what you collect.
Observability is what you understand.

Telemetry is:

• Logs
• Metrics
• Traces
• Events
• Counters

All useful. All necessary. But on their own, they don’t tell a story.

Observability connects these signals, understands relationships, and answers critical questions like:

• “What’s the root cause?”
• “Which customers are affected?”
• “What changed before this started?”
• “What action should we take now?”

Without that layer of intelligence and context, data becomes just noise.

The Myth of “More Data Means More Visibility”

It’s easy to fall into the trap:
“If we collect more telemetry, we’ll gain more visibility.”

But in practice, this leads to:

• Alert fatigue from irrelevant spikes
• Conflicting signals from siloed dashboards
• Missed issues because there’s too much noise
• Slower resolution times because teams can’t connect the dots
• Poor decision-making because impact is unclear

You don’t need more data. You need better answers.

Why Traditional Tools Fall Short

Legacy NMS and OSS systems were built to display telemetry, not interpret it.

They:

• Present each domain in isolation (RAN, Core, Transport…)
• Lack cross-layer correlation
• Trigger alarms based on static thresholds
• Offer limited root cause analysis
• Require teams to manually piece together the story

In today’s networks, dynamic, disaggregated, and real-time, this is no longer sustainable.

What you need is a system that understands what the data means, in context, as it happens.

What True Observability Looks Like

Real observability is not about volume. It’s about meaning.

It requires:

• Cross-domain correlation: Linking symptoms across RAN, transport, and core
• Contextual awareness: Understanding business impact and user experience
• Root cause analysis: Surfacing why something happened, not just what happened
• Impact prioritization: Focusing on VIP customers, revenue paths, and SLA breaches
• Pattern detection: Recognizing subtle degradations and anomalies that traditional rules miss

This is what enables a network to move from reactive to proactive, from alerting to anticipating.

Where Yuvo Comes In

Yuvo was built not just to collect data, but to make sense of it.

Here’s how Yuvo turns telemetry into observability:

• Ingests raw data from every domain and source: RAN, core, transport, OSS/BSS
• Applies AI to detect non-obvious patterns and correlations
• Reduces noise by suppressing non-impacting alerts
• Surfaces issues with contextual root causes and business impact
• Prioritizes incidents that affect SLAs, VIP users, and high-value services
• Enables teams to act faster, with confidence

Instead of 10 dashboards and 100 alerts, Yuvo provides a single, intelligent signal, with the full story behind it.

A Real-World Example: Seeing the Forest, Not Just the Trees

A VIP customer in a smart city deployment complains of degraded service quality during live video calls.

Traditional NOC:

• Packet loss is within acceptable range
• RAN metrics look green
• Transport logs show minor latency fluctuations
• No threshold is breached
• No alarms triggered

Ops team: No idea where to look.

With Yuvo:

• AI detects cross-domain anomalies involving jitter and poor handovers in a specific cluster
• Correlates these with recent policy updates on the transport layer
• Flags the issue before more users are impacted
• Suggests a rollback action to resolve it
• Customer never calls back

That’s the difference between collecting data and understanding your network.

The Outcome: From Data Overload to Decision Confidence

When observability replaces raw telemetry:

• MTTR goes down
• SLAs are protected
• VIP churn is reduced
• NOC teams work smarter, not harder
• Strategic decisions are backed by facts, not assumptions

This isn’t just operational value, it’s competitive advantage.

More telemetry won’t fix a visibility gap. It just makes the haystack bigger.

Telcos need a smarter approach: one that thinks, connects, and prioritizes. That’s observability. That’s Yuvo.

If you want fewer alerts and more answers, look beyond telemetry. Start seeing your network for what it truly is.