Your enterprise network didn’t fail last week. However, all this did happen:

  • Your users experienced critical application performance issues.

  • Your hybrid, multi-cloud transit hit an unexplained cross-region latency wall.

  • Your network operations center (NOC) engineers spent five hours in a 20-person war room generating traceroutes just to prove "it's not the network."

This illustrates the central operational friction facing modern infrastructure leaders: Enterprise IT is paying for more monitoring tools than ever, yet possesses near zero visibility into where application delivery actually breaks down. This leaves them ill-equipped to resolve, let alone prevent, the issues that have a negative impact on the user experience.

To help enterprise leaders modernize their architecture, Broadcom released the Network Observability Buyer's Guide. Here is why it is time to rethink your evaluation framework for network visibility.

The core problem: Tool sprawl and blind spots

Modern enterprise applications do not live entirely within corporate data centers. End-to-end delivery relies on externally owned transit infrastructure: ISP backbones, public cloud gateways (such as those operated by AWS, Azure, and Google Cloud), and SaaS edge nodes.

Even private cloud deployments built on VMware Cloud Foundation (VCF) depend on external WAN transport, inter-site underlays, and public cloud interconnects to reach end users and distributed workloads. When traffic degrades outside your physical boundary, traditional passive monitoring tools offer no help whatsoever.

Relying on fragmented point tools creates three critical operational bottlenecks:

  • Prolonged mean time to innocence (MTTI): Engineers waste critical hours manually gathering evidence to defend network integrity rather than rapidly isolating root causes across ISP or cloud boundaries.

  • Context switching and alarm storms: Disconnected tools fire simultaneous alerts during incidents, burying the true root cause of issues under hundreds of notifications about the symptoms of the problem.

  • Flawed automation initiatives: Automated, AI/large language model (LLM)-assisted network operations workflows can produce flawed recommendations when fed uncorrelated telemetry that lacks active path context.

Therefore, the key question becomes, how can network operations teams monitor externally owned ISP and public cloud paths to reduce mean time to innocence?

Evaluation framework: Legacy monitoring versus modern observability

Evaluating network visibility solutions requires looking beyond standard, device-centric features. Today, network operations teams need enterprise-grade network observability.

What is the difference between legacy network performance management (NPM) and modern network observability? Network observability solutions provide unified coverage of physical device health, flow data, and configuration compliance. Plus, they track user experience metrics by delivering continuous active path monitoring that spans internally owned and externally managed networks.

 

Evaluation Framework

Legacy monitoring versus modern network observability

Evaluating network visibility solutions requires looking beyond standard, device-centric features to gain unified coverage across hybrid networks, physical underlays, and external transit paths.

Feature Dimension Legacy Network Performance Monitoring (NPM) Modern Network Observability
MONITORING BOUNDARY Limited to internally owned routers, switches, and firewalls within physical perimeters. Extends across externally owned ISP backbones, public cloud environments, and SaaS endpoints.
PATH ANALYSIS Passive SNMP polling and periodic ICMP traceroutes. Continuous, active, hop-by-hop monitoring that measures loss, latency, and jitter across paths that span multiple networks.
FAULT ISOLATION Static, threshold-based device alert mechanisms that trigger alarm storms. Topology-aware, AI-enabled root-cause correlation with automated suppression of symptomatic alarms.
PRIVATE CLOUD CONTEXT Isolated hypervisor view that lacks coverage of physical underlay. Native correlation between VCF software-defined data center (SDDC) overlays and physical infrastructure.
DATA DELIVERY Proprietary silos and closed UI dashboards. Feeds intelligence to enterprise ITSM platforms via open, scalable Kafka streaming, REST APIs, and Grafana integration.

Key strategic takeaways from the buyer's guide

1. Unify active path insights with deep infrastructure telemetry

Identifying a degraded path is only the first step. An enterprise platform must correlate continuous active path monitoring and user experience metrics with deep insights into device health, interface discards, flow metrics, and configuration changes. All this intelligence must be presented in a single, unified view. (Read a white paper to find out more about eliminating the visibility gaps introduced by legacy monitoring tools.)

2. Extend visibility beyond the VMware Cloud Foundation (VCF) perimeter

Private cloud deployments built on VMware Cloud Foundation (VCF) depend on physical underlay performance and hybrid interconnects. To improve operational resilience, teams need solutions that bridge the gap between SDDC virtual overlays (NSX) and external WAN, ISP, and cloud transit paths. (Read a prior post to learn more about harnessing network observability to maximize VCF success.)

3. Establish high-fidelity data for enterprise AI

Automated incident response engines and LLM-assisted NOC tools are only as reliable as their underlying data feeds. High-volume telemetry combined with topology context provides the citable evidence required to validate algorithmic recommendations before execution. (Read an earlier post to find out more about how network operations must be redefined in the age of agentic AI.)

Download the Network Observability Buyer’s Guide

Stop managing fragmented point tools. Stop facing the blame for issues that arise in third-party ISP and cloud networks. Download our Network Observability Buyer’s Guide and get insights for finding the right solution for your organization. Access the guide’s comprehensive evaluation framework, technical requirements matrix, and vendor selection criteria.

Read the Network Observability Buyer’s Guide

Frequently asked questions

Q: What is network observability?

Network observability is an operational discipline that unifies continuous active path analysis, device telemetry (for example, through standards like SNMP and gNMI), flow metrics, and configuration auditing. By unifying these capabilities, network observability delivers end-to-end performance visibility across both internally owned enterprise infrastructure and externally owned transit networks, such as those run by ISPs, public cloud providers, and SaaS vendors.

Q: How does network observability differ from traditional network performance monitoring (NPM)?

A: Network observability differs from legacy network performance monitoring (NPM) by extending visibility beyond corporate boundaries into externally operated ISP backbones, public cloud transit gateways, and SaaS endpoints. In contrast, traditional NPM relies on passive, periodic polling of owned hardware inside a private perimeter. Network observability solutions extend visibility by providing continuous, active path testing. They also do topology-aware root-cause analysis to correlate virtual overlays with physical underlays.

Q: Why is active path monitoring essential for enterprise hybrid networks?

A: Active path monitoring is essential because it enables continuous, hop-by-hop measurement of latency, packet loss, and jitter. By doing synthetic testing from branch, cloud, and user vantage points, this approach provides visibility across public internet routes that passive SNMP polling cannot reach. This allows network operations center (NOC) teams to pinpoint performance degradation inside specific third-party ISP networks in minutes.

Q: How does network observability support VMware Cloud Foundation (VCF) deployments?

A: Network Observability by Broadcom supports VMware Cloud Foundation (VCF) deployments by complementing the visibility offered by VCF Operations for Networks. While VCF Operations for Networks monitors internal, software-defined data center (SDDC) overlays and virtual machine traffic, Network Observability by Broadcom correlates these virtual overlays with physical underlay health, top-of-rack switches, WAN links, and external SaaS/cloud dependencies. In this way, the solution helps teams ensure that underlay network bottlenecks don’t stall private cloud workloads.

Q: How does network observability reduce mean time to innocence (MTTI)?

Network observability reduces mean time to innocence (MTTI) by equipping network operations teams with continuous, hop-by-hop empirical path evidence and topology-aware correlation. When application slow downs occur, teams can instantly provide diagnostic proof as to whether the failure resides in the network layer, a specific third-party ISP network, or an application server. This dramatically reduces MTTI, eliminating multi-departmental war room meetings and finger-pointing.