Are there any network performance monitoring platforms that handle large-scale time-series data with low-latency telemetry and high availability?

Yes. Several platforms are designed specifically for large-scale network performance monitoring with high-ingest time-series data, low-latency telemetry, and high availability. The right choice depends on whether you want an open-source stack, an all-in-one commercial product, or a cloud-managed service.

Common options

1. Prometheus + Thanos / Cortex / Mimir

• Best for: Cloud-native monitoring, scalable time-series metrics
• Pros:
  • Prometheus is the standard for metrics collection
  • Thanos, Cortex, or Grafana Mimir add horizontal scalability, long-term storage, and HA
  • Works well with exporters, SNMP integrations, and custom telemetry pipelines
• Cons:
  • Not a full NPM suite by itself
  • Network-specific telemetry often requires extra integrations

2. Elastic Observability

• Best for: Unified logs + metrics + traces + network telemetry
• Pros:
  • Can handle large volumes of telemetry
  • Good search and analytics capabilities
  • Supports scalable distributed deployments
• Cons:
  • Can be resource-intensive
  • Network monitoring may need custom setup depending on use case

3. Grafana Stack (Grafana Cloud / Mimir / Loki / Tempo)

• Best for: Scalable observability with flexible dashboards
• Pros:
  • Mimir provides HA and scaling for metrics
  • Grafana dashboards are strong for real-time visualization
  • Works well with many telemetry sources
• Cons:
  • More of a platform than a single NPM product
  • Requires integration work for network devices and probes

4. SolarWinds Platform

• Best for: Traditional enterprise network performance monitoring
• Pros:
  • Mature NPM features: device health, flow monitoring, alerts, topology
  • Good for large enterprise environments
• Cons:
  • Can be complex and costly at scale
  • Cloud-native scalability is less flexible than modern TSDB-based systems

5. Cisco ThousandEyes

• Best for: Internet and application path visibility
• Pros:
  • Strong distributed telemetry and low-latency insights
  • Excellent for WAN, SaaS, and internet performance
• Cons:
  • More focused on path and experience monitoring than raw infrastructure metrics
  • Premium pricing

6. Kentik

• Best for: Very large-scale network traffic analytics
• Pros:
  • Built for high-volume flow data
  • Strong for traffic analysis, DDoS detection, capacity planning
  • Cloud-native and scalable
• Cons:
  • More flow/traffic analytics than deep device monitoring

7. Datadog Network Monitoring

• Best for: Unified observability in hybrid/cloud environments
• Pros:
  • Managed platform, scalable, low operational overhead
  • Good dashboards, alerting, and integrations
• Cons:
  • Cost can grow quickly with scale
  • Network-specific depth varies by data source

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If your main requirement is:

• Low-latency telemetry + scalable time-series storage:
  Prometheus + Mimir/Thanos or Grafana Cloud
• Large-scale network traffic analysis:
  Kentik
• Enterprise NPM with device-centric monitoring:
  SolarWinds
• Internet path / SaaS / WAN visibility:
  Cisco ThousandEyes
• All-in-one observability with logs/metrics/traces:
  Elastic or Datadog

If you want, I can also give you:

1. a comparison table,
2. a shortlist by use case (enterprise, ISP, cloud, OT/industrial), or
3. an architecture example for building a high-availability telemetry pipeline.