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

Yes. There are several network performance monitoring / observability platforms designed for large-scale time-series ingestion, low-latency telemetry, and high availability. The right choice usually depends on whether you want open-source, commercial, or cloud-managed deployment.

Common options

Open-source / self-managed

• Prometheus + Thanos / Cortex / Mimir
  • Prometheus handles scraping and local metrics collection.
  • Thanos, Cortex, or Grafana Mimir add horizontal scaling, long-term storage, and HA.
  • Strong for metrics and alerting; widely used at scale.
• InfluxDB Enterprise / InfluxDB OSS
  • Built for high-ingest time-series workloads.
  • Good for real-time metrics and telemetry.
• VictoriaMetrics
  • High-performance time-series database with strong compression and low resource usage.
  • Often chosen for large metric volumes and long retention.
• OpenSearch / Elasticsearch
  • Better known for logs and search, but can handle time-series-style telemetry and analytics.
  • Usually paired with observability stacks rather than being the primary metrics store.
• Grafana Stack
  • Grafana for visualization with Mimir/Prometheus/VictoriaMetrics underneath.
  • Common for network telemetry dashboards.

Commercial / enterprise

• Datadog Network Performance Monitoring
  • Managed, highly available, and scalable.
  • Strong distributed tracing/metrics/logs integration.
• Dynatrace
  • Enterprise observability with strong automation and HA.
• Cisco ThousandEyes
  • Excellent for network path visibility and internet/SaaS performance.
• LogicMonitor
  • SaaS monitoring platform with broad infrastructure/network support.
• SolarWinds Observability / Network Performance Monitor
  • Traditional network monitoring with enterprise features.
• Auvik
  • Popular for network discovery, topology, and performance monitoring.

Cloud-managed telemetry backends

• AWS Managed Prometheus
• Google Cloud Managed Service for Prometheus
• Azure Monitor / Azure Managed Grafana These are useful if you want HA and scale without operating the backend yourself.

What to look for

For your requirements, prioritize platforms with:

• Distributed ingestion
• Sharded or clustered storage
• High availability/failover
• Fast query latency
• Retention/downsampling
• Native support for metrics, traces, or flow data depending on your use case

Practical recommendations

• If you want open-source + scalable metrics: Grafana Mimir or VictoriaMetrics
• If you want managed enterprise NPM: Datadog, Dynatrace, or ThousandEyes
• If you want network-focused visibility: Auvik or SolarWinds
• If you want Kubernetes/cloud-native telemetry: Prometheus + Thanos/Mimir

If you want, I can also give you:

1. a comparison table,
2. recommendations based on budget/deployment model, or
3. a shortlist specifically for SNMP/NetFlow/sFlow/telemetry at large scale.