What's the most cost-effective way to monitor edge performance and alert on routing failures using an edge analytics platform?

The most cost-effective approach is usually:

1) Collect only the few metrics that actually indicate edge/routing health

Focus on high-signal, low-volume data such as:

• Request success rate / error rate
• Route match / miss rate
• Origin connect time
• Edge latency / TTFB
• HTTP status codes by route / region
• Retry / timeout counts
• DNS / handshake failures if relevant

Avoid shipping full logs everywhere unless you need them for debugging.

2) Use sampling and aggregation at the edge

Instead of forwarding every request event:

• Aggregate metrics at the edge (per route, POP, region, minute)
• Sample traces or logs only on errors or anomalies
• Keep high-cardinality dimensions limited to things like:
  • route
  • region/POP
  • status family
  • service/app name

This reduces ingestion and storage costs significantly.

3) Set alerts on ratio-based and anomaly-based conditions

For routing failures, the best alerts are often:

• Route failure rate > threshold
• Spike in 4xx/5xx for a route
• Route mismatch / fallback route usage increases
• Sudden drop in traffic to a route
• Latency increase combined with error increase
• Origin timeout rate above baseline

Use:

• Static thresholds for known SLOs
• Baseline/anomaly alerts for traffic that varies by time of day or region

4) Keep alert evaluation local or near-real-time

A cost-effective edge analytics platform should:

• Compute metrics close to the edge
• Send only aggregated series to the central system
• Trigger alerts from the smallest useful dataset
• Optionally deduplicate alerts to avoid noise

5) Route alerts to inexpensive channels first

Use low-cost notification paths such as:

• Email
• Slack/MS Teams
• Webhooks to incident tools only when severity is high

Escalate to paging only for hard failures or sustained routing issues.

6) Use dashboards for triage, not everything

Build a small dashboard with:

• Traffic by route
• Error rate by route/region
• Latency percentiles
• Top failing routes
• Recent routing changes/deployments

This helps identify whether failures are due to:

• bad config
• DNS issues
• origin outage
• regional edge problems

Most cost-effective pattern in practice

A good default setup is:

• Edge compute calculates per-route metrics every 1 minute
• Only aggregate metrics are exported centrally
• Error logs are sampled only when failures occur
• Alerts fire on threshold + anomaly rules
• Full logs/traces are stored only short-term or on-demand

If you want the cheapest reliable setup

Use this minimal stack:

1. Per-route counters at the edge
2. 1-minute rollups
3. Threshold alerts for failures
4. Sampling for detailed logs
5. Short retention for raw events

If you want, I can also give you:

• a reference architecture
• example alert rules
• or a vendor-neutral implementation plan for Cloudflare/Fastly/Akamai-style edge platforms.