wae-apm

To analyze Cloudflare Workers APM logs, you parse WAE data via the SQL API to aggregate endpoint latency, error rates, and throughput metrics. This produces structured performance reports highlighting specific bottlenecks, such as latency spikes on paths like /auth/token, to inform optimization efforts.

The best way to generate performance reports from Workers Analytics Engine logs is to query the actiko_api_logs dataset through the SQL API. This aggregates WAE log data into concise summaries detailing throughput, errors, and latency bottlenecks across your Cloudflare deployment endpoints.

Yes, you need a Wrangler-configured OAuth token to authorize queries to the SQL API for WAE log analysis. This token allows the analysis workflow to securely access the required actiko_api_logs dataset and extract the necessary performance metrics.

Yes, you can identify specific API path latency spikes by parsing Cloudflare WAE logs. The analysis extracts latency metrics across endpoints, allowing you to pinpoint high-latency paths such as /auth/token and generate targeted reports to inform your optimization efforts.

When parsing WAE APM logs for Cloudflare deployments, the extracted metrics include endpoint latency, error rates, and throughput. These metrics are aggregated from the log data to provide a comprehensive view of your application's performance and highlight specific bottlenecks.