Telemetry Showdown: Fluent Bit Vs. OpenTelemetry Collector - A Comprehensive Benchma...
summary
Benchmarks compare Fluent Bit and OpenTelemetry Collector across logs traces and metrics using HipsterOp and OpenTelemetry demo apps with load ramps, soak tests and sampling spikes. Fluent Bit wins log-heavy workloads with lower CPU and ~15–20 MB working set for logs and efficient parsers; it lacks Prometheus scrape config and metric conversion. Collector uses ~90–120 MB baseline, supports metric conversion, Prometheus scraping and target allocator, but metric conversion on a DaemonSet triggers memory growth so stateful sets and load‑balanced tail sampling are required to avoid 0.8–1.5 GB spikes.
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chapters (8)
- 0:00Introduction and scope
- 3:49Design architecture patterns
- 9:22Logging capabilities
- 11:13Metrics processing
- 12:49Tracing and sampling
- 14:20Benchmark and performance
- 18:54Optimizing metric collection
- 19:54Conclusions and Q&A
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