https://blog.mickeyzzc.tech/en/tags/frostdb/Recent content in FrostDB on Mi&Bee BlogHugo -- gohugo.ioen蓝宝石的傻话Wed, 24 Jun 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-06-profiling-storage/Wed, 24 Jun 2026 00:00:00 +0000https://blog.mickeyzzc.tech/en/posts/telemetry/obs-tech-06-profiling-storage/<p>Continuous Profiling is a vital pillar of observability. Unlike traditional sampling profilers, continuous profiling captures application and kernel stack traces at a fixed frequency around the clock, generating flame graphs that help teams identify performance bottlenecks, memory leaks, and resource hotspots. This article focuses on the storage architecture of profiling data: starting from the Google pprof data model and flame graph construction algorithm, we analyze Pyroscope&rsquo;s architectural evolution from V1 (TSDB+Parquet) to V2 (Metastore+Segments), Parca and FrostDB&rsquo;s columnar storage innovation, commercial solutions from Datadog and Splunk, and conclude with comparative tables that highlight the differentiating choices across solutions.</p>