
Traffic Served Statistics
What it tells you
- Total bytes delivered to end users.
- Period-over-period change (today vs yesterday, week vs week).
- Trend lines that surface launches, viral spikes, and outages.
How to read the chart
Pull via API
granularity, per-PoP breakdown).
Common patterns
Cost levers
- Raise cache hit ratio. Higher HIT% = same user-facing bytes, less origin egress.
- Compress text. Enable Gzip / Brotli in cache rules.
- Right-size images. Use Image Optimizer with
format=autoand capped widths. - Cap query-string variants. A noisy cache key duplicates the same bytes.
Operational tips
- Daily totals to finance. Pipe API totals into your billing spreadsheet or BI tool.
- Per-path breakdowns. Use the path filter to find the top 10 bandwidth consumers; cache or compress them harder.
- Alert on rate, not total. A 5× hourly spike is more actionable than absolute totals.