Waymark / Routes / parca.dev Deploy Parca for continuous profiling with pprof scraping from Go services
domain: parca.dev · 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed
Verified steps Deploy the Parca server and configure its object storage backend for profile data persistence Expose the pprof HTTP endpoint on each target service and add the scrape target to Parca's scrape configuration Set an appropriate scrape interval and retention period to balance storage cost with profiling resolution Use Parca's diff view to compare CPU flame graphs across two time ranges or deployments Integrate Parca Agent as a DaemonSet for always-on system-wide profiling without SDK changes Known gotchas pprof endpoints expose internal goroutine and heap details; restrict access with network policy or authentication middleware Scraping pprof endpoints too frequently can itself introduce measurable CPU overhead in the target process Parca Agent uses eBPF under the hood and requires compatible kernel version and capabilities similar to other eBPF tools
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