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Platform Health Metrics Template
A structured template for defining platform health metrics covering API availability, latency percentiles, error rates, developer adoption funnels, and...
Updated 2026-03-04
Platform Health Metrics
| # | Metric | Target | Current | Progress % | Owner | Status | |
|---|---|---|---|---|---|---|---|
| 1 | 140 | ||||||
| 2 | 98 | ||||||
| 3 | 84 | ||||||
| 4 | 75 | ||||||
| 5 | 75 |
#1
140
#2
98
#3
84
#4
75
#5
75
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Frequently Asked Questions
What is the difference between availability and uptime?+
Uptime measures whether the server is running. Availability measures whether the API is successfully serving requests. A server can be "up" but returning 500 errors to every request, which means 100% uptime but 0% availability. Always measure availability as the percentage of non-5xx responses, not server uptime. This is the metric your consumers care about and the one your [SLA](/glossary/service-level-agreement-sla) should commit to.
Why should I track P99 latency, not just P95?+
P95 tells you the experience for most of your consumers. P99 tells you the experience for your worst-affected consumers, who are often your highest-volume users (because they make enough requests to populate the tail). A P95 of 200ms with a P99 of 2000ms means 1 in 100 requests is extremely slow. For a consumer making 10,000 requests/day, that is 100 painfully slow responses. Track both.
How do I measure time to first API call?+
Record the timestamp when a developer signs up (creates API credentials) and the timestamp of their first successful API request (first 2xx response using their credentials). The difference is time to first API call. Segment by signup source to identify which acquisition channels produce developers who integrate fastest. The [platform strategy](/glossary/platform-strategy) glossary entry covers how this metric connects to platform growth.
Should platform metrics be public?+
Publish availability and latency on a public status page. This builds trust with consumers and reduces "is the API down?" support tickets. Keep adoption metrics, business metrics, and detailed error breakdowns internal. Some platforms publish historical uptime (e.g., "99.97% over the last 90 days") on their pricing page to differentiate from competitors.
How often should I review and update metric targets?+
Review quarterly. Traffic growth, new features, and infrastructure changes all affect baselines. A latency target set when you had 100 consumers may be unrealistic at 10,000 consumers without architectural investment. Use the quarterly review to decide whether targets need adjustment or whether infrastructure investment is needed to meet existing targets. The [Analytics Handbook](/analytics-guide) covers how to build a metrics review cadence. ---
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