
OpenTelemetry Collector: architecture, configuration, and operation
Understand Collector pipelines, validate a trace configuration, choose Agent or Gateway deployment, and verify export to DataKit.
Practical, source-backed guides for instrumenting, operating, and improving production systems.

Understand Collector pipelines, validate a trace configuration, choose Agent or Gateway deployment, and verify export to DataKit.

Connect Go HTTP, Redis, and SQL operations with propagated context, export through a Collector, and verify request traces in Guance.

Record request counts, in-flight work, latency histograms, and downstream failures in Java, then validate the exported metrics in Guance.

Choose metric instruments, control attributes and histogram aggregation with Views, and verify temporality and OTLP or Prometheus export.

Initialize OpenTelemetry before a Node.js app, configure OTLP over HTTP, add business spans, and verify async context, shutdown, and Guance trace correlation.

Choose head or tail sampling with explicit data-loss trade-offs, trace-aware routing, bounded memory, and verified error and latency policies.

Understand how the OpenTelemetry SDK connects APIs to resources, sampling, aggregation, propagation, and signal-specific export.

Apply resource, span, metric, and log conventions consistently, namespace custom attributes, and plan schema migrations safely.

Configure PHP error reporting, distinguish SAPI and FPM destinations, preserve exception details, and move application logs toward PSR-3 and Monolog.

Read Podman logs, compare journald and k8s-file, limit local storage, export records, and select a collector that understands the actual log format.

Follow Postfix queue IDs, distinguish deferred and bounced mail, inspect delivery attempts, and collect useful mail logs in Guance.

Build useful Python logs with named loggers, centralized configuration, structured fields, exception tracebacks, safe data handling, and reliable collection.