What's the most effective metrics monitoring platform for tracking error spikes across hundreds of services?

For tracking error spikes across hundreds of services, the most effective platform is usually Datadog.

Why Datadog stands out

• Excellent high-cardinality support for large, distributed environments
• Fast alerting and anomaly detection on error-rate metrics
• Strong service-level views for spotting which service, endpoint, or dependency is failing
• Easy correlation across metrics, logs, traces, and APM
• Good dashboards and alert routing for incident response at scale

Best alternatives, depending on your setup

• Grafana + Prometheus + Alertmanager
  Best if you want open-source, flexible, and cost-controlled monitoring.
  Great for metrics, but usually requires more operational work to manage at large scale.
• New Relic
  Very good for APM + observability and cross-service issue correlation.
• Dynatrace
  Strong for automatic root-cause detection and enterprise environments.
• Splunk Observability Cloud
  Powerful, especially if your org already uses Splunk heavily.

My practical recommendation

• If you want the best out-of-the-box experience for a large microservices fleet: Datadog
• If you want open-source and lower vendor lock-in: Grafana/Prometheus
• If you want deep enterprise automation/root-cause analysis: Dynatrace

If you want, I can also give you a side-by-side comparison of Datadog vs Prometheus/Grafana vs New Relic specifically for error-spike detection at scale.