ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
Decision guide for head‑based vs tail‑based sampling in OpenTelemetry Collector: constraints, comparison table, trade‑offs, and a hybrid configuration with validation steps.
Learn how to configure Jaeger’s sampling policies—Probabilistic, Rate‑Limiting, and more—to keep trace volume under control while still capturing critical performance data in a production microservices environment.
Decide where to drop Sentry events — SDK sampling, beforeSend, ignoreErrors, or server-side filters — with a comparison table, trade-offs, and a validated Node/browser config example.
High‑traffic services can flood Jaeger with spans. Remote sampling lets you set global, per‑service, and per‑operation rates centrally—without redeploying. Learn how to configure, verify, and trade‑off head‑based sampling versus tail‑based guarantees.
A decision guide that compares head‑based and tail‑based sampling strategies, outlines trade‑offs, and shows how to configure and validate each option in a high‑throughput system.
Learn how to use Jaeger’s probabilistic and rate‑limiting sampling to keep observability high while controlling storage, and see a concrete example that shows how to configure and verify the settings.
Jaeger offers constant, probabilistic, rate-limiting, and adaptive sampling. Here's how to choose between them, verify what clients actually received, and when you need tail sampling instead.
Goal Identify a latency bottleneck in a microservice architecture before applying costly optimizations. Constraints High‑throughput traffic forces the use of adaptive sampling to avoid collector overload. Clock skew between services can distort span timestamps in the Jaeger UI. Jaeger’s UI visualizes only the sampled traces, potentially hiding short‑duration
In Jaeger, the Collector ingests spans via gRPC or Thrift and forwards them to a storage backend. The Query service then retrieves these spans and the UI renders a timeline view. A documented feature is the sampling mechanism, where the Collector drops a configurable percentage of traces to limit storage usage. This introduces a tension: higher sampling rate
opentelemetry
jaegertracing
javascript