Finding Use CasesFor Solutions Engineers
Your Customers Are Already Generating the Data
Every Cloudflare service emits telemetry. The data platform turns it into actionable insights.
Ask about these services
Workers & PagesRequest logs, errors, CPU time
"How do you monitor Worker performance across regions?"
AI GatewayModel calls, tokens, latency, cost
"Are you tracking AI spend per model or per user?"
CDN & WAFCache hits, blocked threats, origin times
"How do you analyze traffic patterns or attack trends?"
R2 StorageObject reads/writes, bandwidth, growth
"Do you need visibility into storage access patterns?"
D1 / KV / QueuesQuery latency, throughput, error rates
"How do you identify slow queries or bottlenecks?"
Zero Trust / AccessAuth events, device posture, policy decisions
"Where do security audit logs go today?"
Questions to open the conversation
?Where does your Cloudflare telemetry go today? A SIEM? A warehouse? Nowhere?
?Are you paying egress fees to move data out for analysis?
?Do you need real-time dashboards over your event data?
?Building with AI? Need cost/latency tracking per model?
?Would querying logs with SQL — no infra needed — be useful?
Strongest signals
$Paying egress fees to analyze their own data
!Managing Kafka, Spark, or warehouse infrastructure
~Using Workers at scale but no analytics pipeline
*Building AI features and need cost/perf visibility
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