IT Operations · Engineering, IT & AI
Should you build or buy Cloud Network Observability / NPM?
Cloud Network Observability / NPM (Network Performance Monitoring) software analyzes network traffic flows, latency, and packet loss across cloud and hybrid environments — using sources like VPC flow logs, NetFlow, and IPFIX data to give operations teams visibility into where network performance is degrading and why.
The build-vs-buy decision for Cloud Network Observability turns on whether your environment's complexity — particularly multi-cloud topology correlation and cross-cloud path analysis — requires specialized platforms, or whether native cloud flow logs with open-source visualization cover your actual monitoring needs at a fraction of the cost.
Build it, buy it, or bridge?
When building makes sense
Cloud-native flow logs are free. AWS VPC Flow Logs, GCP equivalent, and open-source visualization with ntopng and Grafana cover a substantial amount of ground without a dedicated platform. For single-cloud environments with reasonably straightforward topologies — a handful of VPCs, predictable traffic patterns — that stack handles the basics without much friction. The build case is strongest when the primary need is alerting on known failure patterns and visualizing traffic baselines, rather than debugging cross-cloud path anomalies or analyzing BGP routing behavior. At that scope, the per-flow or per-host licensing fees from commercial platforms are hard to justify when the OSS alternative runs at infrastructure cost.
When buying makes sense
Buying a platform like Kentik or ThousandEyes becomes a different conversation when the environment spans multiple clouds and requires correlated topology views across all of them. Cross-cloud path tracing, BGP routing analysis, and synthetic endpoint monitoring from distributed vantage points are genuinely difficult to wire together from native flow logs and open-source tools. ThousandEyes is particularly relevant for organizations that need to debug performance issues affecting end users across internet paths they don't own. Datadog NPM integrates network performance data with the application and infrastructure observability stack, which reduces the context-switching involved in correlating a network issue with an application symptom — a real operational convenience at larger scale.
The desk read
Cloud-native flow logs are free. AWS VPC Flow Logs, GCP equivalent, and open-source visualizers like ntopng with Grafana cover a surprising amount of ground without paying for a dedicated platform. For single-cloud environments with straightforward topologies, that stack handles the basics without much friction.
Buying a platform like Kentik or ThousandEyes becomes a different conversation when the environment spans multiple clouds and you need correlated topology views across all of them. Cross-cloud path tracing, BGP analysis, and synthetic endpoint monitoring are genuinely hard to wire together from scratch. The build case gets more interesting as your environment simplifies, or when budget pressure pushes you to accept some capability gaps in exchange for eliminating a per-seat or per-flow license.
Vendors in Cloud Network Observability / NPM
Each file covers what the product is, its funding history, and when the index last verified it alive.
Frequently asked
What is Cloud Network Observability / NPM?
Cloud Network Observability / NPM (Network Performance Monitoring) software analyzes network traffic flows, latency, and packet loss across cloud and hybrid environments — using sources like VPC flow logs, NetFlow, and IPFIX data to give operations teams visibility into where network performance is degrading and why.
When does building Cloud Network Observability / NPM make sense?
Building makes sense for single-cloud environments with straightforward topologies. AWS VPC Flow Logs and GCP equivalents are free; ntopng and Grafana provide visualization at near-zero cost. For standard traffic visibility and alerting, this stack covers most needs without per-flow licensing fees.
When does buying Cloud Network Observability / NPM make sense?
Buying makes sense for multi-cloud environments where cross-cloud topology correlation, BGP analysis, and synthetic endpoint monitoring are required. Kentik and ThousandEyes handle path tracing and BGP visibility that's genuinely hard to assemble from open-source tools.
What are the main Cloud Network Observability / NPM vendors?
Representative vendors include Kentik, Gigamon, Datadog Network Performance Monitoring, ThousandEyes (Cisco). B4 Pro scores the full set.
What is the difference between NPM and APM?
NPM (Network Performance Monitoring) focuses on the network layer — packet flows, link utilization, latency between network endpoints. APM (Application Performance Monitoring) focuses on application behavior — transaction times, error rates, service dependencies. The two categories are complementary: APM helps you see that an application is slow; NPM helps you determine whether the network is the cause.